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Abstract Views |
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12 months |
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"Borrowing money costs money": Yes, but why not tell how much? |
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0 |
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30 |
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0 |
1 |
56 |
A Dynamic Utility Maximization Model for Product Category Consumption |
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0 |
0 |
209 |
0 |
0 |
1 |
797 |
A Hierarchical Bayes Error Correction Model to Explain Dynamic Effects of Price Changes |
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0 |
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107 |
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0 |
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381 |
A Joint Framework for Category Purchase and Consumption Behavior |
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130 |
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0 |
0 |
522 |
A Manager's Perspective on Combining Expert and Model-based Forecasts |
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0 |
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76 |
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1 |
99 |
A Multi-Level Panel Smooth Transition Autoregression for US Sectoral Production |
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0 |
0 |
0 |
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2 |
457 |
A Multivariate STAR Analysis of the Relationship Between Money and Output |
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357 |
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1 |
2 |
839 |
A Multivariate STAR Analysis of the Relationship Between Money and Output |
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252 |
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2 |
666 |
A New Multivariate Product Growth Model |
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123 |
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0 |
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426 |
A Novel Approach to Measuring Consumer Confidence |
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33 |
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0 |
0 |
63 |
A generalized dynamic conditional correlation model for many asset returns |
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0 |
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66 |
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0 |
2 |
167 |
A hierarchical Bayes error correction model to explain dynamic effects |
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0 |
1 |
16 |
0 |
0 |
2 |
83 |
A model for quarterly unemployment in Canada |
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0 |
0 |
10 |
0 |
0 |
0 |
40 |
A multi-level panel smooth transition autoregression for US sectoral production |
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0 |
0 |
38 |
0 |
0 |
0 |
120 |
A multivariate STAR analysis of the relationship between money and output |
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0 |
1 |
127 |
0 |
0 |
4 |
316 |
A nonlinear long memory model for US unemployment |
1 |
1 |
1 |
44 |
1 |
1 |
3 |
97 |
A seasonal periodic long memory model for monthly river flows |
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0 |
0 |
24 |
0 |
0 |
2 |
119 |
A sequential approach to testing seasonal unit roots in high frequency data |
0 |
0 |
0 |
33 |
0 |
0 |
0 |
104 |
A simple test for GARCH against a stochastic volatility |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
100 |
A simple test for PPP among traded goods |
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0 |
0 |
12 |
0 |
0 |
1 |
74 |
AN EMPIRICAL TEST FOR PARITIES BETWEEN METAL PRICES AT THE IME |
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0 |
0 |
0 |
0 |
1 |
2 |
390 |
Advertising effects on awareness, consideration and brand choice using tracking data |
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0 |
0 |
221 |
0 |
0 |
1 |
837 |
Aggregate statistics on trafficker-destination relations in the Atlantic slave trade |
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0 |
0 |
39 |
0 |
0 |
0 |
37 |
Aggregate statistics on trafficker-destination relations in the Atlantic slave trade |
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0 |
0 |
20 |
0 |
0 |
0 |
27 |
An Empirical Study of Cash Payments |
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0 |
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149 |
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0 |
0 |
386 |
An Equilibrium-Correction Model for Dynamic Network Data |
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0 |
0 |
858 |
0 |
0 |
1 |
3,000 |
An empirical analysis of euro cash payments |
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0 |
1 |
8 |
0 |
0 |
1 |
43 |
An introduction to time-varying lag autoregression |
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0 |
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85 |
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0 |
2 |
76 |
Analysis of the Maritime Inspection Regimes - Are ships over-inspected? |
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0 |
0 |
31 |
0 |
1 |
5 |
155 |
Analyzing Fixed-Event Forecast Revisions |
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2 |
2 |
25 |
1 |
2 |
3 |
85 |
Analyzing Fixed-event Forecast Revisions |
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0 |
0 |
2 |
0 |
1 |
5 |
63 |
Analyzing Fixed-event Forecast Revisions |
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0 |
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89 |
0 |
0 |
0 |
194 |
Analyzing Fixed-event Forecast Revisions |
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0 |
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71 |
0 |
0 |
0 |
119 |
Analyzing Fixed-event Forecast Revisions |
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0 |
0 |
60 |
0 |
0 |
4 |
83 |
Analyzing Fixed-event Forecast Revisions |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
84 |
Analyzing preferences ranking when there are too many alternatives |
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0 |
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34 |
0 |
0 |
0 |
76 |
Approximating the DGP of China's Quarterly GDP |
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28 |
0 |
0 |
0 |
168 |
Are Chinese Individuals prone to Money Illusion? |
0 |
0 |
1 |
23 |
0 |
0 |
1 |
91 |
Are Forecast Updates Progressive? |
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0 |
0 |
28 |
0 |
0 |
0 |
84 |
Are Forecast Updates Progressive? |
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0 |
0 |
27 |
0 |
0 |
0 |
122 |
Are Forecast Updates Progressive? |
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0 |
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39 |
0 |
0 |
0 |
146 |
Are Forecast Updates Progressive? |
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0 |
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22 |
0 |
0 |
2 |
96 |
Are Forecast Updates Progressive? |
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1 |
1 |
28 |
0 |
2 |
2 |
133 |
Are Forecast Updates Progressive? |
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0 |
1 |
33 |
0 |
0 |
2 |
88 |
Are Forecast Updates Progressive? |
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0 |
0 |
24 |
0 |
0 |
0 |
134 |
Are we in a bubble? A simple time-series-based diagnostic |
0 |
0 |
0 |
174 |
0 |
0 |
1 |
107 |
Asymmetric Time Aggregation and its Potential Benefits for Forecasting Annual Data |
0 |
0 |
0 |
46 |
0 |
0 |
0 |
138 |
Asymmetric and Common Absorption of Shocks in Nonlinear Autoregressive Models |
0 |
0 |
0 |
99 |
0 |
0 |
0 |
291 |
Asymmetric and Common Abssorbtion of Shocks in Nonlinear Autoregressive Models |
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0 |
0 |
28 |
0 |
0 |
0 |
253 |
Asymmetric and common absorption of shocks in nonlinear autoregressive models |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
97 |
Bayesian Analysis of Seasonal Unit Roots and Seasonal Mean Shifts |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
59 |
Bayesian Model Averaging in the Presence of Structural Breaks |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
129 |
Benchmarking judgmentally adjusted forecasts |
0 |
0 |
0 |
27 |
0 |
0 |
0 |
35 |
Big Data Analysis of Volatility Spillovers of Brands across Social Media and Stock Markets |
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0 |
0 |
0 |
0 |
0 |
3 |
48 |
Broker Positions in Task-Specific Knowledge Networks |
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0 |
0 |
99 |
0 |
0 |
0 |
596 |
Buying High Tech Products |
0 |
0 |
0 |
122 |
0 |
0 |
1 |
469 |
Censored latent effects autoregression, with an application to US unemployment |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
57 |
Censored regression analysis in large samples with many zero observations |
0 |
0 |
5 |
45 |
0 |
0 |
9 |
130 |
Changing Perceptions and Changing Behavior in Customer Relationships |
0 |
0 |
0 |
442 |
0 |
0 |
1 |
1,382 |
Cointegration in a historical perspective |
0 |
0 |
0 |
110 |
0 |
0 |
2 |
141 |
Cointegration in a periodic vector autoregression |
0 |
0 |
0 |
22 |
0 |
1 |
2 |
68 |
Combining Non-Replicable Forecasts |
0 |
0 |
1 |
21 |
0 |
0 |
2 |
67 |
Combining Non-Replicable Forecasts |
0 |
0 |
1 |
38 |
0 |
0 |
1 |
100 |
Common large innovations across nonlinear time series |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
46 |
Competence and confidence effects in experts' forecast adjustments |
0 |
0 |
0 |
27 |
0 |
0 |
3 |
52 |
Comprehensive review of the maritime safety regimes |
0 |
0 |
0 |
31 |
0 |
0 |
1 |
89 |
Confidence Intervals for Cronbach's Coefficient Alpha Values |
0 |
0 |
5 |
960 |
0 |
4 |
26 |
3,995 |
Confidence intervals for maximal reliability of probability judgments |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
65 |
Consensus forecasters: How good are they individually and why? |
0 |
0 |
0 |
46 |
0 |
0 |
0 |
62 |
Consideration sets, intentions and the inclusion of "Don't know" in a two-stage model for voter choice |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
90 |
Constructing seasonally adjusted data with time-varying confidence intervals |
0 |
0 |
0 |
24 |
0 |
1 |
2 |
102 |
Convergence and Persistence of Left-Right Political Orientations in The Netherlands 1978-1995 |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
55 |
Correcting for Survey Effects in Pre-election Polls |
0 |
0 |
0 |
28 |
1 |
1 |
1 |
130 |
Cycles in basic innovations |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
80 |
Decomposing bias in expert forecast |
0 |
0 |
0 |
62 |
0 |
0 |
0 |
59 |
Deriving Target Selection Rules from Endogenously Selected Samples |
0 |
0 |
0 |
124 |
0 |
0 |
0 |
585 |
Deriving dynamic marketing effectiveness from econometric time series models |
0 |
0 |
0 |
142 |
0 |
0 |
1 |
359 |
Determining the Order of Differencing in Seasonal Time Series Processes |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
259 |
Did the incidence of high precipitation levels increase? Statistical evidence for the Netherlands |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
50 |
Diffusion of Original and Counterfeit Products in a Developing Country |
0 |
0 |
0 |
32 |
0 |
0 |
0 |
116 |
Diffusion of counterfeit medical products in a developing country: Empirical evidence for Suriname |
0 |
0 |
0 |
17 |
0 |
0 |
3 |
72 |
Do African economies grow similarly? |
0 |
0 |
0 |
64 |
0 |
0 |
0 |
67 |
Do Charities Get More when They Ask More Often? Evidence from a Unique Field Experiment |
0 |
0 |
0 |
77 |
0 |
0 |
3 |
162 |
Do Commercial Real Estate Prices Have Predictive Content for GDP |
0 |
0 |
0 |
15 |
0 |
0 |
2 |
165 |
Do Experts incorporate Statistical Model Forecasts and should they? |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
101 |
Do Experts' SKU Forecasts improve after Feedback? |
0 |
0 |
0 |
30 |
0 |
0 |
1 |
81 |
Do We Often Find ARCH Because Of Neglected Outliers? |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
45 |
Do experts incorporate statistical model forecasts and should they? |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
88 |
Do experts' SKU forecasts improve after feedback? |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
48 |
Do loss profiles on the mortgage market resonate with changes in macro economic prospects, business cycle movements or policy measures? |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
75 |
Do the US and Canada have a common nonlinear cycle in unemployment? |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
56 |
Do we make better forecasts these days? A survey amongst academics |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
32 |
Do we need all Euro denominations? |
0 |
0 |
0 |
15 |
1 |
1 |
1 |
172 |
Does Africa grow slower than Asia and Latin America? |
0 |
0 |
0 |
12 |
0 |
0 |
1 |
53 |
Does Disagreement Amongst Forecasters have Predictive Value? |
0 |
0 |
0 |
40 |
0 |
0 |
1 |
63 |
Does Disagreement amongst Forecasters have Predictive Value? |
0 |
0 |
0 |
51 |
0 |
0 |
1 |
74 |
Does Irritation Induced by Charitable Direct Mailings Reduce Donations? |
0 |
0 |
0 |
40 |
0 |
0 |
1 |
173 |
Does More Expert Adjustment Associate with Less Accurate Professional Forecasts? |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
36 |
Does a financial crisis make consumers increasingly prudent? |
0 |
0 |
1 |
32 |
0 |
0 |
1 |
61 |
Does experts' adjustment to model-based forecasts contribute to forecast quality? |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
33 |
Does news on real Chinese GDP growth impact stock markets? |
0 |
0 |
1 |
42 |
0 |
0 |
1 |
105 |
Does ratification matter and do major conventions improve safety and decrease pollution in shipping? |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
84 |
Does rounding matter for payment efficiency? |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
46 |
Does the FOMC Have Expertise, and Can It Forecast? |
0 |
0 |
0 |
63 |
0 |
0 |
1 |
111 |
Does the ROMC have expertise, and can it forecast? |
0 |
0 |
0 |
9 |
2 |
2 |
3 |
134 |
Dynamic Effects of Trust and Cognitive Social Structures on Information Transfer Relationships |
0 |
0 |
0 |
151 |
0 |
0 |
0 |
582 |
Dynamic and Competitive Effects of Direct Mailings |
0 |
0 |
0 |
59 |
0 |
0 |
2 |
193 |
Dynamics of expert adjustment to model-based forecast |
0 |
0 |
2 |
15 |
0 |
0 |
2 |
71 |
Ecological panel inference in repeated cross sections |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
26 |
Econometric Analysis of the Market Share Attraction Model |
0 |
1 |
4 |
1,324 |
0 |
4 |
20 |
3,786 |
Effect and Improvement Areas for Port State Control Inspections to Decrease the Probability of Casualty |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
107 |
Effectiveness of Brokering within Account Management Organizations |
0 |
0 |
0 |
64 |
0 |
0 |
0 |
257 |
Emigration, wage differentials and brain drain: The case of Suriname |
0 |
0 |
0 |
86 |
0 |
0 |
0 |
198 |
Estimated Parameters Do Not Get the "Wrong Sign" Due To Collinearity Across Included Variables |
0 |
0 |
0 |
86 |
0 |
0 |
1 |
336 |
Estimates of quarterly GDP growth using MIDAS regressions |
0 |
0 |
4 |
49 |
0 |
0 |
7 |
146 |
Estimating Loss Functions of Experts |
0 |
0 |
1 |
12 |
0 |
0 |
1 |
42 |
Estimating Loss Functions of Experts |
0 |
0 |
0 |
33 |
1 |
1 |
1 |
74 |
Estimating duration intervals |
0 |
0 |
0 |
58 |
0 |
0 |
0 |
165 |
Estimating persistence for irregularly spaced historical data |
0 |
0 |
0 |
73 |
0 |
0 |
0 |
46 |
Estimating the market share attraction model using support vector regressions |
0 |
0 |
0 |
57 |
0 |
0 |
1 |
259 |
Evaluating Combined Non-Replicable Forecast |
0 |
0 |
1 |
3 |
0 |
0 |
1 |
80 |
Evaluating Combined Non-Replicable Forecasts |
0 |
0 |
1 |
19 |
0 |
0 |
2 |
81 |
Evaluating Combined Non-Replicable Forecasts |
0 |
0 |
0 |
7 |
0 |
0 |
2 |
48 |
Evaluating Direct Marketing Campaigns: recent findings and future research topics |
0 |
0 |
0 |
622 |
0 |
0 |
1 |
1,823 |
Evaluating Individual and Mean Non-Replicable Forecasts |
0 |
0 |
0 |
11 |
0 |
0 |
1 |
79 |
Evaluating Individual and Mean Non-Replicable Forecasts |
1 |
1 |
1 |
22 |
1 |
1 |
4 |
86 |
Evaluating Individual and Mean Non-Replicable Forecasts |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
144 |
Evaluating Macroeconomic Forecast: A Review of Some Recent Developments |
0 |
0 |
0 |
92 |
0 |
0 |
1 |
221 |
Evaluating Macroeconomic Forecasts: A Concise Review of Some Recent Developments |
0 |
1 |
1 |
97 |
0 |
1 |
2 |
149 |
Evaluating Macroeconomic Forecasts: A Concise Review of Some Recent Developments |
0 |
0 |
1 |
166 |
0 |
0 |
3 |
213 |
Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments |
0 |
0 |
0 |
127 |
0 |
0 |
0 |
171 |
Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments |
0 |
0 |
0 |
94 |
0 |
0 |
1 |
174 |
Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments |
0 |
0 |
1 |
60 |
0 |
1 |
2 |
160 |
Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments |
0 |
0 |
0 |
94 |
0 |
0 |
0 |
288 |
Evaluating Macroeconomic Forecasts:A Concise Review of Some Recent Developments |
0 |
0 |
1 |
72 |
0 |
0 |
1 |
190 |
Evaluating heterogeneous forecasts for vintages of macroeconomic variables |
0 |
0 |
0 |
57 |
0 |
0 |
2 |
36 |
Evaluating real-time forecasts in real-time |
0 |
1 |
2 |
21 |
0 |
1 |
4 |
90 |
Evaluating the Rationality of Managers' Sales Forecasts |
0 |
0 |
0 |
50 |
0 |
0 |
0 |
60 |
Evaluation of survey effects in pre-election polls |
0 |
0 |
1 |
45 |
0 |
0 |
1 |
356 |
Experimental investigation of consumer price evaluations |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
41 |
Expert opinion versus expertise in forecasting |
0 |
0 |
0 |
91 |
1 |
1 |
6 |
468 |
Experts adjusting model-based forecasts and the law of small numbers |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
29 |
Experts' Stated Behavior |
0 |
0 |
0 |
23 |
0 |
0 |
1 |
91 |
Experts' adjustment to model-based forecasts: Does the forecast horizon matter? |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
46 |
Exploiting Spillovers to forecast Crashes |
0 |
0 |
0 |
31 |
0 |
0 |
1 |
53 |
Financial innumeracy |
0 |
0 |
1 |
26 |
0 |
0 |
1 |
141 |
Forecasting 1 to h steps ahead using partial least squares |
0 |
0 |
0 |
38 |
0 |
0 |
0 |
117 |
Forecasting Annual Inflation in Suriname |
0 |
0 |
1 |
41 |
0 |
0 |
2 |
82 |
Forecasting Earnings Forecasts |
0 |
0 |
0 |
21 |
0 |
0 |
1 |
49 |
Forecasting Market Shares from Models for Sales |
0 |
0 |
0 |
598 |
0 |
0 |
0 |
1,603 |
Forecasting Sales |
0 |
0 |
0 |
120 |
0 |
2 |
4 |
290 |
Forecasting aggregates using panels of nonlinear time series |
0 |
0 |
0 |
18 |
1 |
1 |
2 |
82 |
Forecasting economic and financial time-series with non-linear models |
0 |
0 |
2 |
876 |
0 |
1 |
5 |
1,660 |
Forecasting high-frequency electricity demand with a diffusion index model |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
86 |
Forecasting in marketing |
0 |
0 |
0 |
39 |
0 |
0 |
0 |
86 |
Forecasting own brand sales: Does incorporating competition help? |
0 |
0 |
1 |
29 |
0 |
1 |
3 |
36 |
Forecasting social conflicts in Africa using an Epidemic Type Aftershock Sequence model |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
23 |
Forecasting the Levels of Vector Autoregressive Log-Transformed Time Series |
0 |
0 |
0 |
17 |
0 |
0 |
2 |
69 |
Forecasting volatility with switching persistence GARCH models |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
70 |
Forecasting with periodic autoregressive time series models |
0 |
0 |
1 |
70 |
0 |
0 |
3 |
145 |
Forecasting: theory and practice |
1 |
3 |
12 |
84 |
2 |
6 |
30 |
93 |
Formalizing judgemental adjustment of model-based forecasts |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
66 |
Franses |
0 |
0 |
1 |
149 |
0 |
0 |
4 |
1,613 |
From first submission to citation: an empirical analysis |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
28 |
Gaussian Copula Regression in the Presence of Thresholds |
0 |
0 |
1 |
28 |
0 |
1 |
11 |
49 |
Heterogeneity in Manufacturing Growth Risk |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
32 |
How Accurate are Government Forecast of Economic Fundamentals? |
0 |
0 |
0 |
57 |
0 |
0 |
1 |
145 |
How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan |
0 |
1 |
1 |
27 |
1 |
2 |
2 |
224 |
How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan |
0 |
0 |
0 |
51 |
0 |
0 |
1 |
225 |
How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan |
0 |
0 |
1 |
28 |
0 |
0 |
5 |
137 |
How Informative are the Unpredictable Components of Earnings Forecasts? |
0 |
0 |
0 |
10 |
0 |
0 |
2 |
35 |
How Large is Average Economic Growth? Evidence from a Robust Method |
0 |
0 |
0 |
65 |
0 |
0 |
0 |
313 |
How do we pay with euro notes? Empirical evidence from Monopoly experiments |
0 |
0 |
0 |
7 |
0 |
0 |
2 |
69 |
How to deal with intercept and trend in pratical cointegration analysis? |
0 |
0 |
0 |
138 |
0 |
0 |
2 |
314 |
How to gain brain for Suriname |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
38 |
IMA(1,1) as a new benchmark for forecast evaluation |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
61 |
Impulse Response Functions for Periodic Integration |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
595 |
Impulse-response analysis of the market share attraction model |
0 |
0 |
0 |
17 |
0 |
0 |
1 |
125 |
Income, Cultural Norms and Purchases of Counterfeits |
0 |
0 |
0 |
19 |
0 |
0 |
0 |
65 |
Incorporating Responsiveness to Marketing Efforts When Modeling Brand Choice |
0 |
0 |
0 |
149 |
0 |
0 |
0 |
526 |
Incorporating responsiveness to marketing efforts in brand choice modelling |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
82 |
Indirect Network Effects in New Product Growth |
0 |
0 |
0 |
115 |
1 |
1 |
7 |
445 |
Inequality amongst the wealthiest and its link with economic growth |
0 |
0 |
0 |
45 |
0 |
0 |
0 |
84 |
Inequality amongst the wealthiest and its link with economic growth |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
23 |
Inferring transition probabilities from repeated cross sections: a cross-level inference approach to US presidential voting |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
55 |
Inflation rates; long-memoray, level shifts, or both? |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
23 |
Inflation, Forecast Intervals and Long Memory Regression Models |
0 |
1 |
1 |
615 |
0 |
1 |
1 |
2,100 |
Interaction Between Shelf Layout and Marketing Effectiveness and Its Impact On Optimizing Shelf Arrangements |
0 |
0 |
1 |
184 |
0 |
0 |
1 |
826 |
Interlocking Boards and Firm Performance: Evidence from a New Panel Database |
0 |
0 |
0 |
156 |
0 |
1 |
2 |
726 |
Interpreting Financial Market Crashes as Earthquakes: A New early Warning System for Medium Term Crashes |
0 |
0 |
5 |
96 |
0 |
0 |
17 |
167 |
Intertemporal Similarity of Economic Time Series |
0 |
1 |
2 |
82 |
0 |
1 |
3 |
112 |
Irritation Due to Direct Mailings from Charities |
0 |
0 |
0 |
56 |
0 |
1 |
3 |
197 |
Jury report on the KVS award for the best Doctoral Thesis in Economics of the academic years 2006-2007 and 2007-2008 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
13 |
Long Memory and Level Shifts: Re-Analyzing Inflation Rates |
0 |
0 |
0 |
181 |
0 |
0 |
0 |
783 |
Long memory and level shifts: re-analysing inflation rates |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
78 |
Long-term forecast for the Dutch economy |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
38 |
Low-fat, light, and reduced in calories |
0 |
0 |
0 |
33 |
0 |
0 |
0 |
62 |
Managing Sales Forecasters |
0 |
0 |
0 |
72 |
0 |
0 |
1 |
60 |
Measuring the effect of perceived corruption on detention and incident risk – an empirical analysis |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
18 |
Measuring weekly consumer confidence |
0 |
0 |
0 |
57 |
0 |
0 |
0 |
103 |
Microeconomic determinants of skilled migration: The case of Suriname |
0 |
0 |
0 |
64 |
0 |
0 |
2 |
118 |
Model selection for forecast combination |
0 |
0 |
0 |
95 |
0 |
0 |
2 |
143 |
Model-based forecast adjustment; with an illustration to inflation |
0 |
0 |
0 |
34 |
0 |
0 |
1 |
52 |
Modeling Consideration Sets and Brand Choice Using Artificial Neural Networks |
0 |
0 |
0 |
308 |
0 |
0 |
0 |
926 |
Modeling Dynamic Effects of the Marketing Mix on Market Shares |
0 |
0 |
1 |
384 |
0 |
0 |
5 |
1,140 |
Modeling Generational Transitions from Aggregate Data |
0 |
0 |
0 |
51 |
0 |
0 |
0 |
226 |
Modeling Potentially Time-Varying Effects of Promotions on Sales |
0 |
0 |
0 |
288 |
0 |
0 |
0 |
862 |
Modeling Seasonality in New Product Diffusion |
0 |
0 |
0 |
79 |
0 |
0 |
0 |
183 |
Modeling Unobserved Consideration Sets for Household Panel Data |
0 |
0 |
0 |
203 |
1 |
1 |
1 |
1,036 |
Modeling and forecasting outliers and level shifts in absolute returns |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
53 |
Modeling asymmetric volatility in weekly Dutch temperature data |
0 |
1 |
4 |
26 |
0 |
1 |
5 |
72 |
Modeling charity donations: target selection, response time and gift size |
0 |
0 |
3 |
132 |
0 |
0 |
6 |
362 |
Modeling dynamic effects of promotion on interpurchase times |
0 |
0 |
0 |
24 |
0 |
0 |
0 |
101 |
Modeling purchases as repeated events |
0 |
0 |
1 |
27 |
0 |
0 |
1 |
100 |
Modeling regional house prices |
0 |
0 |
0 |
159 |
0 |
0 |
0 |
288 |
Modeling students' evealuation scores; comparing economics schools in Maastricht and Rotterdam |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
44 |
Modeling the Effectiveness of Hourly Direct-Response Radio Commercials |
0 |
0 |
0 |
27 |
0 |
0 |
0 |
168 |
Modeling the diffusion of scientific publications |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
62 |
Modeling the effectiveness of hourly direct-response radio commercials |
0 |
0 |
0 |
41 |
0 |
0 |
2 |
231 |
Modelling Multiple Regimes in the Business Cycle |
0 |
0 |
0 |
57 |
0 |
0 |
1 |
163 |
Modelling asymmetric persistence over the business cycle |
0 |
0 |
0 |
13 |
0 |
0 |
2 |
53 |
Modelling health care expenditures; overview of the literature and evidence from a panel time series model |
0 |
0 |
0 |
324 |
0 |
3 |
3 |
791 |
Monitoring structural change in variance |
0 |
0 |
2 |
23 |
0 |
0 |
3 |
73 |
Monitoring time-varying parameters in an autoregression |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
37 |
Nonlinear Error-Correction Models for Interest Rates in The Netherlands |
0 |
0 |
1 |
70 |
0 |
0 |
2 |
175 |
Nonlinearities and outliers: robust specification of STAR models |
0 |
0 |
0 |
42 |
0 |
0 |
1 |
143 |
On Forecasting Cointegrated Seasonal Time Series |
0 |
0 |
0 |
421 |
0 |
0 |
2 |
1,151 |
On Phillips-Perron Type Tests for Seasonal Unit Roots |
0 |
0 |
0 |
135 |
0 |
0 |
0 |
1,014 |
On SETAR non- linearity and forecasting |
0 |
0 |
1 |
54 |
0 |
0 |
1 |
125 |
On combining revealed and stated preferences to forecast customer behaviour: three case studies |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
92 |
On data transformations and evidence of nonlinearity |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
28 |
On forecasting cointegrated seasonal time series |
0 |
0 |
2 |
13 |
0 |
0 |
3 |
46 |
On modeling panels of time series |
0 |
0 |
0 |
11 |
0 |
0 |
0 |
28 |
On the Bass diffusion theory, empirical models and out-of-sample forecasting |
0 |
0 |
0 |
324 |
0 |
0 |
0 |
1,103 |
On the diffusion of scientific publications; the case of Econometrica 1987 |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
36 |
On the econometrics of the Koyck model |
1 |
1 |
4 |
436 |
3 |
6 |
36 |
3,984 |
On the number of categories in an ordered regression model |
0 |
1 |
1 |
23 |
0 |
2 |
2 |
74 |
On the optimality of expert-adjusted forecasts |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
55 |
On the optimality of expert-adjusted forecasts |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
115 |
On the role of seasonal intercepts in seasonal cointegration |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
56 |
On the role of seasonal intercepts in seasonal cointegration |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
217 |
Ordered logit analysis for selectively sampled data |
0 |
0 |
0 |
33 |
0 |
0 |
2 |
128 |
Outlier Robust Analysis of Market Share and Distribution Relations for Weekly Scanning Data |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
41 |
Outlier detection in the GARCH (1,1) model |
1 |
1 |
5 |
34 |
1 |
2 |
7 |
107 |
Outlier robust cointegration analysis |
0 |
0 |
0 |
240 |
0 |
1 |
1 |
564 |
Outliers and judgemental adjustment of time series forecasts |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
86 |
Panel design effects on response rates and response quality |
0 |
0 |
0 |
11 |
0 |
0 |
0 |
84 |
Performance of Seasonal Adjustment Procedures: Simulation and Empirical Results |
0 |
0 |
0 |
29 |
0 |
1 |
2 |
142 |
Prediction beyond the survey sample: correcting for survey effects on consumer decisions |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
81 |
Professional Forecasters and January |
1 |
1 |
3 |
96 |
1 |
2 |
10 |
403 |
Purchasing complex services on the Internet; An analysis of mortgage loan acquisitions |
0 |
0 |
0 |
82 |
0 |
0 |
0 |
395 |
Random-Coefficient periodic autoregression |
0 |
0 |
0 |
28 |
1 |
1 |
2 |
115 |
Ranking Models in Conjoint Analysis |
0 |
0 |
0 |
58 |
0 |
1 |
3 |
123 |
Real GDP growth in Africa, 1963-2016 |
0 |
0 |
1 |
54 |
0 |
0 |
1 |
107 |
Real time estimates of GDP growth |
0 |
0 |
1 |
47 |
0 |
0 |
1 |
99 |
Real time estimates of GDP growth, based on two-regime models |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
56 |
Recovering historical inflation data from postal stamps prices |
1 |
1 |
1 |
61 |
2 |
2 |
3 |
64 |
Reference-based transitions in short-run price elasticity |
0 |
0 |
0 |
67 |
0 |
0 |
0 |
367 |
Retrieving unobserved consideration sets from household panel data |
0 |
0 |
0 |
62 |
0 |
0 |
1 |
154 |
Return migration of high skilled workers |
0 |
0 |
1 |
45 |
0 |
0 |
4 |
79 |
Risk Perception and Decision-Making by the Corporate Elite: Empirical Evidence for Netherlands-based Companies |
0 |
0 |
0 |
16 |
0 |
0 |
3 |
105 |
Risk attitudes in company boardrooms in a developing country |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
49 |
Risk attitudes in the board room and company performance: Evidence for an emerging economy |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
55 |
Robust inference on average economic growth |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
29 |
SEASONALITY, NONSTATIONARITY AND THE FORECASTING OF MONTHLY TIME SERIES |
0 |
0 |
1 |
5 |
1 |
2 |
5 |
26 |
SEASONALITY, OUTLIERS AND LINEARITY |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
8 |
SETS, Arbitrage Activity, and Stock Price Dynamics |
0 |
0 |
0 |
310 |
0 |
0 |
0 |
1,381 |
Sales Models For Many Items Using Attribute Data |
0 |
1 |
1 |
201 |
0 |
2 |
3 |
771 |
Seasonal adjustment and the business cycle in unemployment |
0 |
0 |
0 |
14 |
0 |
1 |
1 |
58 |
Seasonal smooth transition autoregression |
0 |
0 |
2 |
39 |
0 |
1 |
3 |
123 |
Seasonality in revisions of macroeconomic data |
0 |
0 |
0 |
26 |
0 |
0 |
0 |
55 |
Seasonality on non-linear price effects in scanner-data based market-response models |
0 |
0 |
0 |
19 |
0 |
0 |
0 |
85 |
Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
69 |
Semi-Parametric Modelling of Correlation Dynamics |
0 |
1 |
1 |
58 |
1 |
2 |
4 |
139 |
Short Patches of Outliers, ARCH and Volatility Modeling |
0 |
0 |
1 |
281 |
0 |
0 |
1 |
1,015 |
Size and value effects in Suriname |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
63 |
Smooth Transition Autoregressive Models - A Survey of Recent Developments |
0 |
0 |
3 |
1,808 |
0 |
1 |
21 |
3,401 |
Smooth transition autoregressive models - A survey of recent developments |
0 |
0 |
2 |
456 |
1 |
1 |
5 |
867 |
Specification Testing in Hawkes Models |
0 |
0 |
0 |
29 |
0 |
0 |
2 |
63 |
Spurious Principal Components |
0 |
0 |
0 |
53 |
0 |
0 |
0 |
48 |
Stability through cycles |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
62 |
Statistical Institutes and Economic Prosperity |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
85 |
Stochastic levels and duration dependence in US unemployment |
0 |
0 |
0 |
38 |
0 |
0 |
1 |
32 |
Structural breaks and long memory in US inflation rates: do they matter for forecasting? |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
86 |
TESTING FOR SEASONAL UNIT ROOTS IN MONTHLY DATA |
0 |
0 |
8 |
69 |
0 |
0 |
14 |
121 |
TESTING FOR WHITE NOISE IN TIME SERIES MODELS |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
41 |
THE GOMPERTZ CURVE: ESTIMATION AND SELECTION |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
12 |
Temporal aggregation in a periodically integrated autoregressive process |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
Temporal aggregation in a periodically integrated autoregressive process |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
23 |
Testing Changing Harmonic Regressors |
0 |
0 |
1 |
26 |
0 |
0 |
1 |
66 |
Testing Earning Management |
0 |
0 |
0 |
95 |
0 |
0 |
0 |
268 |
Testing Nested and Non-Nested Periodically Integrated Autoregressive Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
266 |
Testing Nested and Non-Nested Periodically Integrated Autoregressive Models |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
24 |
Testing Nested and Non-Nested Periodically Integrated Autoregressive Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
Testing changes in consumer confidence indicators |
0 |
1 |
1 |
25 |
0 |
1 |
1 |
84 |
Testing common deterministic seasonality |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
37 |
Testing for ARCH in the Presence of Additive Outliers |
0 |
0 |
0 |
26 |
0 |
1 |
1 |
139 |
Testing for Common Deterministic Trend Slopes |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
245 |
Testing for Smooth Transition Nonlinearity in the Presence of Outliers |
0 |
0 |
0 |
47 |
0 |
0 |
1 |
141 |
Testing for common deterministic trend slopes |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
188 |
Testing for converging deterministic seasonal variation in European industrial production |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
31 |
Testing for harmonic regressors |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
23 |
Testing for seasonal unit roots in monthly panels of time series |
0 |
0 |
0 |
77 |
0 |
0 |
0 |
157 |
The Cash Use of the Malaysian Ringgit |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
The Davies Problem: A New Test for Random Slope in the Hierarchical Linear Model |
0 |
0 |
0 |
36 |
0 |
0 |
1 |
143 |
The Econometrics Of The Bass Diffusion Model |
0 |
1 |
3 |
989 |
0 |
1 |
6 |
3,125 |
The Effect of Relational Constructs on Relationship Performance |
0 |
0 |
0 |
563 |
0 |
2 |
3 |
1,581 |
The Global View on Port State Control |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
117 |
The Impact of Mobile Telephone Use on Economic Development of Households in Uganda |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
181 |
The Late 1970's Bubble in Dutch Collectible Postage Stamps |
0 |
0 |
0 |
15 |
1 |
1 |
1 |
97 |
The Launch Timing of New and Dominant Multigeneration Technologies |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
95 |
The Overall View of the Effect of Inspections and Evaluation of the Target Factor to target substandard vessels |
0 |
0 |
0 |
11 |
0 |
0 |
0 |
49 |
The Stock Exchange of Suriname: Returns, Volatility, Correlations and Weak-form Efficiency |
0 |
0 |
0 |
64 |
1 |
2 |
3 |
194 |
The Triggers, Timing and Speed of New Product Price Landings |
0 |
0 |
0 |
62 |
0 |
0 |
0 |
180 |
The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
85 |
The hemline and the economy: is there any match? |
1 |
9 |
60 |
580 |
10 |
25 |
164 |
1,761 |
The impact of brand and category characteristics on consumer stock-out reactions |
0 |
0 |
0 |
296 |
0 |
0 |
4 |
967 |
The life cycle of social media |
2 |
2 |
2 |
126 |
2 |
2 |
6 |
152 |
This time it is different! Or not? |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
74 |
Time-Series Models in Marketing |
0 |
0 |
2 |
578 |
0 |
0 |
5 |
1,375 |
Timing of Vote Decision in First and Second Order Dutch Elections 1978-1995: Evidence from Artificial Neural Networks |
0 |
0 |
0 |
19 |
0 |
0 |
0 |
85 |
To Aggregate or Not to Aggregate: Should decisions and models have the same frequency? |
0 |
0 |
0 |
46 |
0 |
0 |
0 |
58 |
Using Selective Sampling for Binary Choice Models to Reduce Survey Costs |
0 |
0 |
0 |
194 |
0 |
0 |
1 |
838 |
Visualizing attitudes towards service levels |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
48 |
Volatility Patterns and Spillovers in Bund Futures |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
512 |
Volatility Spillovers Across User-Generated Content and Stock Market Performance |
0 |
0 |
0 |
42 |
0 |
0 |
2 |
62 |
What Makes a Great Journal Great in the Sciences? Which Came First, the Chicken or the Egg? |
0 |
0 |
0 |
25 |
0 |
0 |
3 |
111 |
What drives the Quotes of Earnings Forecasters? |
0 |
0 |
0 |
19 |
0 |
0 |
1 |
75 |
What drives the relevance and quality of experts' adjustment to model-based forecasts? |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
36 |
When Should Nintendo Launch its Wii? Insights From a Bivariate Successive Generation Model |
0 |
0 |
2 |
89 |
0 |
0 |
5 |
351 |
Which Brands gain Share from which Brands? Inference from Store-Level Scanner Data |
0 |
0 |
0 |
108 |
0 |
0 |
0 |
353 |
Which brands gain share from which brands? Inference from store-level scanner data |
0 |
0 |
0 |
62 |
0 |
0 |
0 |
159 |
Why Consumers Buy Lottery Tickets When the Sun Goes Down on Them. The Depleting Nature of Weather-Induced Bad Moods |
0 |
0 |
1 |
69 |
0 |
2 |
8 |
368 |
Yet another look at MIDAS regression |
0 |
0 |
2 |
270 |
1 |
1 |
4 |
100 |
Total Working Papers |
11 |
35 |
200 |
29,238 |
41 |
119 |
744 |
94,296 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Generalized Dynamic Conditional Correlation Model: Simulation and Application to Many Assets |
0 |
1 |
1 |
94 |
0 |
2 |
3 |
239 |
A Simple Test for GARCH Against a Stochastic Volatility Model |
0 |
0 |
1 |
55 |
0 |
0 |
1 |
134 |
A UNIFYING VIEW ON MULTI‐STEP FORECASTING USING AN AUTOREGRESSION |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
72 |
A co-integration approach to forecasting freight rates in the dry bulk shipping sector |
0 |
0 |
1 |
73 |
0 |
0 |
2 |
260 |
A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables |
0 |
0 |
1 |
1,035 |
0 |
2 |
10 |
2,860 |
A global view on port state control: econometric analysis of the differences across port state control regimes |
0 |
0 |
2 |
15 |
0 |
0 |
4 |
40 |
A method to select between periodic cointegration and seasonal cointegration |
0 |
0 |
0 |
31 |
0 |
0 |
0 |
86 |
A model selection procedure for time series with seasonality |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
52 |
A model selection strategy for time series with increasing seasonal variation |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
81 |
A model selection test for an AR (1) versus an MA (1) model |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
128 |
A multi-level panel STAR model for US manufacturing sectors |
0 |
0 |
0 |
375 |
1 |
1 |
1 |
1,014 |
A multivariate approach to modeling univariate seasonal time series |
1 |
1 |
1 |
69 |
1 |
1 |
2 |
162 |
A nonlinear long memory model, with an application to US unemployment |
1 |
2 |
4 |
133 |
1 |
2 |
6 |
342 |
A note on monitoring time-varying parameters in an autoregression |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
A note on the Mean Absolute Scaled Error |
0 |
0 |
4 |
21 |
0 |
1 |
10 |
133 |
A novel approach to measuring consumer confidence |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
29 |
A periodic cointegration model of quarterly consumption |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
7 |
A periodic long-memory model for quarterly UK inflation |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
147 |
A sequential approach to testing seasonal unit roots in high frequency data |
0 |
0 |
1 |
72 |
0 |
1 |
2 |
223 |
A simple test for PPP among traded goods |
0 |
0 |
0 |
93 |
0 |
0 |
0 |
290 |
A simple test for a bubble based on growth and acceleration |
1 |
1 |
2 |
24 |
1 |
1 |
4 |
58 |
Absorption of shocks in nonlinear autoregressive models |
0 |
0 |
1 |
48 |
0 |
4 |
17 |
152 |
Additive outliers, GARCH and forecasting volatility |
0 |
0 |
3 |
212 |
0 |
1 |
6 |
422 |
Adoption of Falsified Medical Products in a Low-Income Country: Empirical Evidence for Suriname |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
48 |
An Empirical Study of Cash Payments |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
66 |
An empirical analysis of euro cash payments |
0 |
0 |
1 |
24 |
2 |
3 |
5 |
91 |
An empirical test for parities between metal prices at the LME |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
24 |
An unbiased variance estimator for overlapping returns |
0 |
0 |
1 |
268 |
0 |
0 |
2 |
771 |
Analyzing a panel of seasonal time series: Does seasonality in industrial production converge across Europe? |
0 |
0 |
0 |
17 |
0 |
0 |
3 |
67 |
Analyzing fixed-event forecast revisions |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
91 |
Approximating the DGP of China's quarterly GDP |
0 |
0 |
0 |
32 |
0 |
0 |
0 |
224 |
Are African business cycles synchronized? Evidence from spatio-temporal modeling |
0 |
1 |
6 |
6 |
0 |
2 |
11 |
11 |
Are forecast updates progressive? |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
44 |
Are individuals in China prone to money illusion? |
0 |
0 |
1 |
11 |
2 |
3 |
6 |
84 |
Are living standards converging? |
0 |
0 |
2 |
84 |
0 |
2 |
14 |
278 |
Asymmetric time aggregation and its potential benefits for forecasting annual data |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
31 |
Asymptotically perfect and relative convergence of productivity |
0 |
0 |
2 |
285 |
0 |
0 |
10 |
843 |
Autoregressive conditional durations: An application to the Surinamese dollar versus the US dollar exchange rate |
0 |
0 |
1 |
1 |
0 |
0 |
4 |
4 |
Averaging Model Forecasts and Expert Forecasts: Why Does It Work? |
0 |
0 |
1 |
3 |
0 |
0 |
4 |
11 |
Bayesian analysis of seasonal unit roots and seasonal mean shifts |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
108 |
Benchmarking Judgmentally Adjusted Forecasts |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
10 |
Can Managers Judgmental Forecasts Be Made Scientifically? |
0 |
0 |
0 |
34 |
0 |
0 |
0 |
107 |
Cash Use of the Taiwan Dollar: Is It Efficient? † |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
32 |
Cointegration Analysis of Seasonal Time Series |
0 |
0 |
2 |
11 |
0 |
0 |
4 |
41 |
Cointegration in a historical perspective |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
128 |
Combining expert‐adjusted forecasts |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
11 |
Common large innovations across nonlinear time series |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
31 |
Common socio-economic cycle periods |
0 |
0 |
2 |
24 |
0 |
0 |
4 |
94 |
Comprehensive Review of the Maritime Safety Regimes: Present Status and Recommendations for Improvements |
0 |
0 |
1 |
6 |
0 |
0 |
3 |
36 |
Consideration sets, intentions and the inclusion of "don't know" in a two-stage model for voter choice |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
97 |
Constant vs. Changing Seasonality |
0 |
0 |
1 |
41 |
1 |
1 |
5 |
125 |
Constructing Seasonally Adjusted Data with Time‐varying Confidence Intervals |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
11 |
Consumer price evaluations through choice experiments |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
47 |
Correcting for survey effects in pre‐election polls |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
24 |
Correcting the January optimism effect |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
12 |
Critical values for unit root tests in seasonal time series |
0 |
0 |
1 |
182 |
0 |
0 |
3 |
436 |
Data revisions and periodic properties of macroeconomic data |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
49 |
Deriving target selection rules from endogenously selected samples |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |
Deriving target selection rules from endogenously selected samples |
0 |
0 |
0 |
56 |
0 |
1 |
1 |
250 |
Detecting seasonal unit roots in a structural time series model |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
115 |
Determining the order of differencing in seasonal time series processes |
0 |
0 |
0 |
19 |
0 |
0 |
0 |
439 |
Do Experts’ SKU Forecasts Improve after Feedback? |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
29 |
Do We Think We Make Better Forecasts Than in the Past? A Survey of Academics |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
8 |
Do charities get more when they ask more often? Evidence from a unique field experiment |
0 |
0 |
0 |
13 |
0 |
0 |
1 |
86 |
Do commercial real estate prices have predictive content for GDP? |
0 |
0 |
0 |
5 |
1 |
1 |
2 |
46 |
Do experts' adjustments on model-based SKU-level forecasts improve forecast quality? |
0 |
0 |
0 |
38 |
0 |
0 |
1 |
196 |
Do seasonal unit roots matter for forecasting monthly industrial production? |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
205 |
Do statistical forecasting models for SKU-level data benefit from including past expert knowledge? |
0 |
0 |
3 |
37 |
0 |
1 |
8 |
222 |
Does Africa grow slower than Asia, Latin America and the Middle East? Evidence from a new data-based classification method |
0 |
1 |
3 |
166 |
1 |
2 |
10 |
383 |
Does Disagreement Amongst Forecasters Have Predictive Value? |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
19 |
Does More Expert Adjustment Associate with Less Accurate Professional Forecasts? |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
28 |
Does Seasonality Influence the Dating of Business Cycle Turning Points? |
0 |
0 |
0 |
35 |
0 |
1 |
1 |
137 |
Does irritation induced by charitable direct mailings reduce donations? |
0 |
0 |
1 |
8 |
0 |
0 |
4 |
55 |
Does news on real Chinese GDP growth impact stock markets? |
0 |
0 |
0 |
39 |
0 |
0 |
0 |
111 |
Does ratification matter and do major conventions improve safety and decrease pollution in shipping? |
0 |
0 |
0 |
14 |
0 |
0 |
3 |
84 |
Dynamic Specification and Cointegration |
0 |
0 |
0 |
1 |
0 |
3 |
6 |
328 |
EVALUATING MACROECONOMIC FORECASTS: A CONCISE REVIEW OF SOME RECENT DEVELOPMENTS |
0 |
0 |
1 |
17 |
0 |
0 |
2 |
87 |
Econometric analysis on the effect of port state control inspections on the probability of casualty: Can targeting of substandard ships for inspections be improved? |
0 |
1 |
2 |
14 |
1 |
2 |
5 |
92 |
Econometric analysis to differentiate effects of various ship safety inspections |
0 |
0 |
0 |
17 |
0 |
0 |
2 |
120 |
Editorial |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
19 |
Editorial |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
20 |
Editorial Statistics |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
13 |
Editorial introduction |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
Editorial statistics |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
22 |
Editorial statistics |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
29 |
Emigration, wage differentials and brain drain: the case of Suriname |
1 |
1 |
4 |
28 |
2 |
4 |
8 |
106 |
Empirical causality between bigger banknotes and inflation |
0 |
0 |
0 |
62 |
1 |
2 |
4 |
161 |
Error-correction modelling in discrete and continuous time |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
96 |
Estimating Transition Probabilities from a Time Series of Independent Cross Sections |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
70 |
Estimating loss functions of experts |
0 |
0 |
1 |
4 |
0 |
0 |
1 |
15 |
Estimating persistence for irregularly spaced historical data |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
3 |
Estimating the Market Share Attraction Model using Support Vector Regressions |
0 |
0 |
0 |
25 |
0 |
0 |
2 |
209 |
Estimating the stock of postwar Dutch postal stamps |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
81 |
Estimating volatility on overlapping returns when returns are autocorrelated |
0 |
0 |
0 |
225 |
0 |
1 |
8 |
608 |
Evaluating CPB’s Forecasts |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
62 |
Evaluating Individual and Mean Non-Replicable Forecasts |
0 |
0 |
0 |
58 |
0 |
0 |
1 |
219 |
Evaluating heterogeneous forecasts for vintages of macroeconomic variables |
0 |
0 |
1 |
1 |
0 |
0 |
3 |
4 |
Expert opinion versus expertise in forecasting |
0 |
0 |
0 |
19 |
0 |
0 |
1 |
110 |
Experts' Stated Behavior |
0 |
0 |
1 |
2 |
1 |
3 |
5 |
18 |
Experts' adjustment to model-based SKU-level forecasts: does the forecast horizon matter? |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
Exploiting Spillovers to Forecast Crashes |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
24 |
Fi-break Model of US Inflation Rate: Long-memory, Level Shifts, or Both? |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
40 |
Fifty years since Koyck (1954)* |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
206 |
Financial volatility: an introduction |
0 |
0 |
1 |
748 |
0 |
0 |
1 |
1,865 |
Forecasting Exchange Rates Using Neural Networks for Technical Trading Rules |
0 |
0 |
1 |
274 |
0 |
0 |
3 |
544 |
Forecasting Real GDP Growth for Africa |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
11 |
Forecasting Social Conflicts in Africa Using an Epidemic Type Aftershock Sequence Model |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
11 |
Forecasting aggregates using panels of nonlinear time series |
0 |
0 |
0 |
66 |
0 |
1 |
2 |
170 |
Forecasting and seasonality |
0 |
0 |
0 |
55 |
0 |
0 |
1 |
233 |
Forecasting economic and financial time-series with non-linear models |
0 |
1 |
5 |
288 |
0 |
1 |
10 |
755 |
Forecasting long memory left-right political orientations |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
82 |
Forecasting market shares from models for sales |
0 |
0 |
0 |
68 |
1 |
1 |
1 |
202 |
Forecasting power-transformed time series data |
0 |
0 |
0 |
38 |
0 |
0 |
1 |
139 |
Forecasting the levels of vector autoregressive log-transformed time series |
0 |
1 |
1 |
40 |
0 |
1 |
2 |
137 |
Forecasting time series with long memory and level shifts |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
172 |
Forecasting time-varying arrivals: Impact of direct response advertising on call center performance |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
19 |
Forecasting unemployment using an autoregression with censored latent effects parameters |
0 |
0 |
0 |
58 |
0 |
0 |
0 |
187 |
Forecasting: theory and practice |
1 |
3 |
17 |
39 |
13 |
31 |
113 |
219 |
From first submission to citation: an empirical analysis |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
30 |
Generalizations of the KPSS‐test for stationarity |
1 |
4 |
20 |
177 |
3 |
11 |
39 |
474 |
Hemlines and the Economy: Which Goes Down First? |
0 |
1 |
10 |
86 |
0 |
3 |
18 |
249 |
Heterogeneous Forecast Adjustment |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
13 |
How Informative Are Earnings Forecasts? † |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
37 |
How accurate are government forecasts of economic fundamentals? The case of Taiwan |
1 |
1 |
2 |
13 |
1 |
1 |
5 |
141 |
How do we pay with euro notes when some notes are missing? Empirical evidence from Monopoly® experiments |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
85 |
How to deal with intercept and trend in practical cointegration analysis? |
0 |
0 |
2 |
285 |
0 |
0 |
4 |
627 |
IGARCH and variance change in the US long-run interest rate |
0 |
0 |
0 |
119 |
0 |
0 |
0 |
300 |
IMA(1,1) as a new benchmark for forecast evaluation |
0 |
0 |
0 |
3 |
0 |
0 |
3 |
12 |
INTRODUCTION TO THE SPECIAL ISSUE: NONLINEAR MODELING OF MULTIVARIATE MACROECONOMIC RELATIONS |
0 |
0 |
0 |
15 |
0 |
0 |
1 |
57 |
Improving judgmental adjustment of model-based forecasts |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
32 |
Impulse response functions for periodic integration |
0 |
0 |
0 |
15 |
0 |
0 |
1 |
123 |
Inclusion of older annual data into time series models for recent quarterly data |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
Incorporating Responsiveness to Marketing Efforts in Brand Choice Modeling |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
94 |
Increasing seasonal variation; unit roots versus shifts in mean and trend |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
8 |
Inequality amongst the wealthiest and its link with economic growth |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
51 |
Inferring Transition Probabilities from Repeated Cross Sections |
1 |
1 |
2 |
2 |
1 |
1 |
2 |
8 |
Inflation in Africa, 1960–2015 |
0 |
0 |
1 |
6 |
0 |
0 |
3 |
57 |
Inflation in China, 1953-1978 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
Inflation, forecast intervals and long memory regression models |
0 |
0 |
1 |
121 |
1 |
1 |
4 |
499 |
Interaction Between Shelf Layout and Marketing Effectiveness and Its Impact on Optimizing Shelf Arrangements |
0 |
0 |
0 |
19 |
0 |
0 |
2 |
103 |
Interpolation and correlation |
0 |
0 |
0 |
2 |
1 |
1 |
8 |
37 |
Interpreting financial market crashes as earthquakes: A new Early Warning System for medium term crashes |
0 |
0 |
0 |
35 |
0 |
1 |
1 |
117 |
Intertemporal Similarity of Economic Time Series: An Application of Dynamic Time Warping |
1 |
4 |
9 |
31 |
2 |
9 |
27 |
109 |
Introduction to the special issue on new econometric models in marketing |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
46 |
Jury Report on the KVS Award for the Best Doctoral Thesis in Economics of the Academic Years 2006–2007 and 2007–2008 |
0 |
0 |
0 |
14 |
0 |
0 |
2 |
96 |
Jury Report on the KVS Award for the Best Doctoral thesis in Economics of the Academic Years 2002/2003 and 2003/2004 |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
114 |
Jury Report on the Kvs Award for the Best Doctoral Thesis in Economics of the Academic Years 2004/2005 and 2005/2006 |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
51 |
Large data sets in finance and marketing: introduction by the special issue editor |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
Long memory and level shifts: Re-analyzing inflation rates |
0 |
0 |
0 |
165 |
0 |
0 |
2 |
906 |
MODEL SELECTION IN PERIODIC AUTOREGRESSIONS |
0 |
0 |
2 |
9 |
0 |
0 |
3 |
30 |
Marketing response and temporal aggregation |
0 |
0 |
1 |
5 |
0 |
0 |
1 |
11 |
Mean shifts, unit roots and forecasting seasonal time series |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
139 |
Measurement Error in a First-order Autoregression |
0 |
0 |
0 |
17 |
0 |
0 |
1 |
66 |
Merging models and experts |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
58 |
Model Selection in Periodic Autoregressions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
175 |
Model adequacy and influential observations |
0 |
0 |
0 |
13 |
1 |
1 |
1 |
76 |
Model selection for forecast combination |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
46 |
Modeling Item Nonresponse in Questionnaires |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
26 |
Modeling Judgment in Macroeconomic Forecasts |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
6 |
Modeling Multiple Regimes in the Business Cycle |
1 |
2 |
5 |
106 |
4 |
7 |
20 |
296 |
Modeling Purchases as Repeated Events |
0 |
0 |
0 |
39 |
0 |
0 |
2 |
165 |
Modeling Seasonality in New Product Diffusion |
0 |
0 |
0 |
12 |
0 |
0 |
3 |
95 |
Modeling box office revenues of motion pictures✰ |
0 |
0 |
0 |
2 |
0 |
1 |
10 |
21 |
Modeling consideration sets and brand choice using artificial neural networks |
0 |
1 |
1 |
7 |
0 |
2 |
2 |
64 |
Modeling dynamic effects of promotion on interpurchase times |
1 |
1 |
1 |
10 |
1 |
1 |
2 |
83 |
Modeling intra-seasonal heterogeneity in hourly advertising-response models: Do forecasts improve? |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
29 |
Modeling seasonality in bimonthly time series |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
39 |
Modeling the diffusion of scientific publications |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
123 |
Modelling and forecasting level shifts in absolute returns |
0 |
0 |
0 |
111 |
0 |
0 |
0 |
486 |
Modelling day-of-the-week seasonality in the S&P 500 index |
0 |
0 |
0 |
201 |
0 |
0 |
1 |
724 |
Modelling regional house prices |
0 |
2 |
2 |
37 |
0 |
2 |
4 |
117 |
Model‐based forecast adjustment: With an illustration to inflation |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
15 |
Moving average filters and periodic integration |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
18 |
Moving average filters and unit roots |
0 |
0 |
0 |
32 |
0 |
0 |
0 |
147 |
Multiple unit roots in periodic autoregression |
0 |
0 |
0 |
72 |
0 |
0 |
1 |
193 |
ON PHILLIPS–PERRON-TYPE TESTS FOR SEASONAL UNIT ROOTS |
0 |
0 |
0 |
19 |
0 |
0 |
0 |
68 |
Off the Hook: Measuring the Impact of Mobile Telephone Use on Economic Development of Households in Uganda using Copulas |
0 |
0 |
1 |
15 |
0 |
1 |
3 |
40 |
On Periodic Correlations between Estimated Seasonal and Nonseasonal Components in German and U.S. Unemployment |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
224 |
On SETAR non-linearity and forecasting |
0 |
0 |
1 |
206 |
0 |
0 |
4 |
659 |
On Seasonal Cycles, Unit Roots, And Mean Shifts |
0 |
0 |
0 |
108 |
0 |
0 |
1 |
313 |
On data transformations and evidence of nonlinearity |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
25 |
On forecasting cointegrated seasonal time series |
0 |
0 |
1 |
37 |
1 |
1 |
3 |
120 |
On forecasting exchange rates using neural networks |
0 |
0 |
0 |
122 |
0 |
0 |
0 |
307 |
On inflation expectations in the NKPC model |
1 |
1 |
2 |
10 |
1 |
1 |
3 |
30 |
On modeling panels of time series* |
0 |
0 |
0 |
8 |
0 |
0 |
2 |
37 |
On the Econometrics of the Bass Diffusion Model |
0 |
0 |
3 |
144 |
0 |
0 |
7 |
359 |
On the Role of Seasonal Intercepts in Seasonal Cointegration |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
7 |
On the dynamics of business cycle analysis: editors' introduction |
0 |
0 |
0 |
56 |
0 |
0 |
1 |
209 |
On the dynamics of business cycle analysis: editors' introduction |
0 |
0 |
1 |
1 |
0 |
0 |
1 |
6 |
On the econometrics of the geometric lag model |
0 |
0 |
0 |
57 |
0 |
0 |
0 |
205 |
On the life cycles of successful rock bands |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
On the number of categories in an ordered regression model |
0 |
0 |
0 |
13 |
0 |
1 |
1 |
46 |
On the sensitivity of unit root inference to nonlinear data transformations |
0 |
0 |
1 |
14 |
0 |
0 |
2 |
78 |
On trends and constants in periodic autoregressions |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
111 |
One model and various experts: Evaluating Dutch macroeconomic forecasts |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
113 |
One model and various experts: Evaluating Dutch macroeconomic forecasts |
0 |
0 |
0 |
2 |
1 |
1 |
1 |
34 |
Optimal Data Interval for Estimating Advertising Response |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
52 |
Ordered logit analysis for selectively sampled data |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
119 |
Outlier Detection in Cointegration Analysis |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
765 |
Outlier robust analysis of long-run marketing effects for weekly scanning data |
0 |
1 |
2 |
46 |
0 |
1 |
2 |
202 |
PREDICTION INTERVALS FOR EXPERT-ADJUSTED FORECASTS |
0 |
0 |
0 |
4 |
0 |
0 |
2 |
39 |
Panel design effects on response rates and response quality |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
28 |
Periodic Cointegration: Representation and Inference |
0 |
0 |
0 |
156 |
0 |
0 |
0 |
407 |
Periodic integration in quarterly UK macroeconomic variables |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
79 |
Progress and challenges in econometrics |
0 |
0 |
0 |
77 |
0 |
0 |
0 |
186 |
Properties of expert adjustments on model-based SKU-level forecasts |
0 |
0 |
3 |
31 |
0 |
0 |
4 |
167 |
Quarterly US Unemployment: Cycles, Seasons and Asymmetries |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
944 |
RISK ATTITUDES IN THE BOARD ROOM AND COMPANY PERFORMANCE: EVIDENCE FOR AN EMERGING ECONOMY |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
43 |
Random‐coefficient periodic autoregressions |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
35 |
Recent Advances in Modelling Seasonality |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
502 |
Recognizing changing seasonal patterns using artificial neural networks |
0 |
0 |
1 |
39 |
0 |
0 |
3 |
115 |
Recovering Historical Inflation Data from Postage Stamps Prices |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
56 |
Robust Inference on Average Economic Growth* |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
67 |
SETS, arbitrage activity, and stock price dynamics |
0 |
0 |
0 |
35 |
0 |
0 |
3 |
170 |
SIMPLE BAYESIAN FORECAST COMBINATION |
1 |
1 |
2 |
5 |
1 |
1 |
8 |
25 |
SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS |
1 |
2 |
17 |
2,442 |
6 |
16 |
56 |
4,743 |
Seasonal Adjustment and the Business Cycle in Unemployment |
0 |
0 |
0 |
48 |
0 |
0 |
0 |
271 |
Seasonality and Stochastic Trends in German Consumption and Income, 1960.1-1987.4 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
133 |
Seasonality and non-linear price effects in scanner-data-based market-response models |
0 |
0 |
1 |
33 |
0 |
0 |
3 |
141 |
Seasonality, non-stationarity and the forecasting of monthly time series |
0 |
1 |
3 |
135 |
0 |
1 |
7 |
309 |
Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy* |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
96 |
Short patches of outliers, ARCH and volatility modelling |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
210 |
Size and value effects in Suriname |
0 |
0 |
0 |
12 |
1 |
2 |
2 |
78 |
Some comments on seasonal adjustment |
0 |
0 |
1 |
58 |
0 |
0 |
2 |
207 |
Specification Testing in Hawkes Models* |
0 |
0 |
0 |
4 |
0 |
0 |
2 |
26 |
Spurious deterministic seasonality |
0 |
0 |
1 |
30 |
0 |
0 |
2 |
114 |
Spurious principal components |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
14 |
Statistical institutes and economic prosperity |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
32 |
Structural breaks and long memory in US inflation rates: Do they matter for forecasting? |
0 |
0 |
0 |
29 |
1 |
1 |
3 |
100 |
THE CASH USE OF THE MALAYSIAN RINGGIT: CAN IT BE MORE EFFICIENT? |
0 |
0 |
1 |
2 |
0 |
2 |
4 |
30 |
THIS TIME IT IS DIFFERENT! OR NOT? DISCOUNTING PAST DATA WHEN PREDICTING THE FUTURE |
0 |
0 |
1 |
5 |
0 |
0 |
3 |
42 |
Temporal aggregation in a periodically integrated autoregressive process |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
40 |
Testing bias in professional forecasts |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
6 |
Testing earnings management |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
52 |
Testing for ARCH in the Presence of Additive Outliers |
0 |
0 |
0 |
213 |
0 |
1 |
3 |
789 |
Testing for Seasonal Unit Roots in Monthly Panels of Time Series |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
81 |
Testing for Smooth Transition Nonlinearity in the Presence of Outliers |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
512 |
Testing for Unit Roots and Non‐linear Transformations |
0 |
0 |
1 |
6 |
0 |
0 |
1 |
25 |
Testing for bias in forecasts for independent binary outcomes |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
10 |
Testing for common deterministic trend slopes |
0 |
0 |
0 |
48 |
0 |
0 |
0 |
231 |
Testing for convergence in left-right ideological positions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
12 |
Testing for harmonic regressors |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
42 |
Testing for periodic integration |
0 |
0 |
1 |
38 |
0 |
0 |
1 |
167 |
Testing for seasonality |
0 |
0 |
0 |
86 |
0 |
0 |
0 |
225 |
Testing periodically integrated autoregressive models |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
33 |
The Econometric Analysis of Seasonal Time Series |
0 |
0 |
2 |
2 |
0 |
0 |
2 |
7 |
The Econometric Modelling of Financial Time Series: Second Edition, Terence C. Mills, (Cambridge: Cambridge University Press, 1999) 380 pages, Paperback; ISBN 0521-62492-4 ($27.95). Hardback: ISBN 0521-62413-4 ($80.00) |
0 |
0 |
0 |
151 |
0 |
0 |
0 |
353 |
The Effects of Additive Outliers on Tests for Unit Roots and Cointegration |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
620 |
The M3 competition: Statistical tests of the results |
1 |
3 |
11 |
151 |
1 |
5 |
21 |
414 |
The Norwegian Consumption Function: A Comment |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
92 |
The Stock Exchange of Suriname: Returns, Volatility, Correlations, and Weak-Form Efficiency |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
24 |
The detection of observations possibly influential for model selection |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
18 |
The diffusion of marketing science in the practitioners' community: opening the black box |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
The diffusion of scientific publications: The case of Econometrica, 1987 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
11 |
The effect of rounding on payment efficiency |
0 |
0 |
0 |
6 |
0 |
1 |
1 |
62 |
The effectiveness of high-frequency direct-response commercials |
0 |
0 |
1 |
6 |
0 |
1 |
3 |
23 |
The effects of seasonally adjusting a periodic autoregressive process |
0 |
0 |
0 |
10 |
0 |
1 |
1 |
38 |
The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production |
0 |
0 |
1 |
73 |
0 |
1 |
6 |
272 |
The impact of adoption timing on new service usage and early disadoption |
0 |
0 |
1 |
6 |
0 |
0 |
2 |
28 |
The late 1970s bubble in Dutch collectible postage stamps |
0 |
1 |
1 |
4 |
0 |
1 |
5 |
45 |
The life cycle of social media |
0 |
0 |
1 |
15 |
0 |
0 |
4 |
58 |
Trends in three decades of rankings of Dutch economists |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
8 |
Twenty years of cointegration |
0 |
0 |
0 |
43 |
0 |
0 |
2 |
89 |
UNIT ROOTS IN PERIODIC AUTOREGRESSIONS |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
14 |
Unit roots in the Nelson-Plosser data: Do they matter for forecasting? |
0 |
0 |
0 |
87 |
0 |
0 |
1 |
243 |
VOLATILITY TRANSMISSION AND PATTERNS IN BUND FUTURES |
0 |
0 |
1 |
4 |
0 |
0 |
2 |
14 |
Visualizing time-varying correlations across stock markets |
0 |
0 |
0 |
119 |
0 |
0 |
1 |
259 |
When Do Price Thresholds Matter in Retail Categories? |
0 |
0 |
1 |
20 |
0 |
0 |
3 |
66 |
Why is GDP typically revised upwards? |
0 |
0 |
0 |
12 |
0 |
0 |
1 |
47 |
“Panelizing” Repeated Cross Sections |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
35 |
Total Journal Articles |
16 |
42 |
211 |
13,759 |
60 |
170 |
771 |
47,309 |