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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 |
0 |
30 |
1 |
1 |
2 |
58 |
A Dynamic Utility Maximization Model for Product Category Consumption |
0 |
0 |
0 |
209 |
1 |
1 |
2 |
798 |
A Hierarchical Bayes Error Correction Model to Explain Dynamic Effects of Price Changes |
0 |
0 |
0 |
107 |
0 |
0 |
0 |
381 |
A Joint Framework for Category Purchase and Consumption Behavior |
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0 |
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130 |
0 |
0 |
0 |
522 |
A Manager's Perspective on Combining Expert and Model-based Forecasts |
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0 |
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76 |
0 |
0 |
0 |
99 |
A Multi-Level Panel Smooth Transition Autoregression for US Sectoral Production |
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0 |
0 |
0 |
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2 |
4 |
459 |
A Multivariate STAR Analysis of the Relationship Between Money and Output |
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252 |
0 |
0 |
1 |
666 |
A Multivariate STAR Analysis of the Relationship Between Money and Output |
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357 |
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2 |
840 |
A New Multivariate Product Growth Model |
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123 |
1 |
1 |
1 |
427 |
A Novel Approach to Measuring Consumer Confidence |
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0 |
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33 |
0 |
0 |
0 |
63 |
A generalized dynamic conditional correlation model for many asset returns |
0 |
0 |
0 |
66 |
0 |
0 |
2 |
168 |
A hierarchical Bayes error correction model to explain dynamic effects |
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0 |
1 |
16 |
0 |
0 |
2 |
84 |
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 |
1 |
2 |
2 |
122 |
A multivariate STAR analysis of the relationship between money and output |
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0 |
0 |
127 |
0 |
0 |
1 |
317 |
A nonlinear long memory model for US unemployment |
0 |
0 |
2 |
45 |
1 |
1 |
4 |
99 |
A seasonal periodic long memory model for monthly river flows |
0 |
0 |
0 |
24 |
1 |
1 |
2 |
120 |
A sequential approach to testing seasonal unit roots in high frequency data |
0 |
0 |
0 |
33 |
1 |
1 |
2 |
106 |
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 |
1 |
1 |
2 |
76 |
AN EMPIRICAL TEST FOR PARITIES BETWEEN METAL PRICES AT THE IME |
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0 |
0 |
0 |
0 |
2 |
3 |
392 |
Advertising effects on awareness, consideration and brand choice using tracking data |
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0 |
0 |
221 |
0 |
0 |
0 |
837 |
Aggregate statistics on trafficker-destination relations in the Atlantic slave trade |
0 |
0 |
0 |
39 |
1 |
1 |
2 |
39 |
Aggregate statistics on trafficker-destination relations in the Atlantic slave trade |
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0 |
0 |
20 |
0 |
0 |
1 |
28 |
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 |
3,001 |
An empirical analysis of euro cash payments |
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0 |
0 |
8 |
0 |
0 |
0 |
43 |
An introduction to time-varying lag autoregression |
1 |
1 |
1 |
86 |
1 |
1 |
1 |
77 |
Analysis of the Maritime Inspection Regimes - Are ships over-inspected? |
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0 |
0 |
31 |
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0 |
2 |
155 |
Analyzing Fixed-Event Forecast Revisions |
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0 |
2 |
25 |
0 |
0 |
2 |
85 |
Analyzing Fixed-event Forecast Revisions |
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0 |
0 |
9 |
0 |
0 |
0 |
84 |
Analyzing Fixed-event Forecast Revisions |
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0 |
0 |
2 |
1 |
1 |
5 |
64 |
Analyzing Fixed-event Forecast Revisions |
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0 |
0 |
71 |
0 |
0 |
0 |
119 |
Analyzing Fixed-event Forecast Revisions |
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0 |
0 |
60 |
0 |
0 |
1 |
83 |
Analyzing Fixed-event Forecast Revisions |
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0 |
0 |
89 |
0 |
0 |
0 |
194 |
Analyzing preferences ranking when there are too many alternatives |
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0 |
0 |
34 |
1 |
1 |
1 |
77 |
Approximating the DGP of China's Quarterly GDP |
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28 |
0 |
0 |
2 |
170 |
Are Chinese Individuals prone to Money Illusion? |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
91 |
Are Forecast Updates Progressive? |
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0 |
0 |
27 |
0 |
0 |
0 |
122 |
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 |
24 |
0 |
0 |
0 |
134 |
Are Forecast Updates Progressive? |
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1 |
28 |
0 |
0 |
2 |
133 |
Are Forecast Updates Progressive? |
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0 |
0 |
22 |
0 |
0 |
0 |
96 |
Are Forecast Updates Progressive? |
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0 |
1 |
33 |
0 |
0 |
1 |
88 |
Are Forecast Updates Progressive? |
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0 |
0 |
39 |
1 |
1 |
2 |
148 |
Are we in a bubble? A simple time-series-based diagnostic |
0 |
0 |
0 |
174 |
0 |
0 |
1 |
108 |
Asymmetric Time Aggregation and its Potential Benefits for Forecasting Annual Data |
0 |
0 |
0 |
46 |
0 |
1 |
1 |
139 |
Asymmetric and Common Absorption of Shocks in Nonlinear Autoregressive Models |
0 |
0 |
0 |
99 |
1 |
1 |
1 |
292 |
Asymmetric and Common Abssorbtion of Shocks in Nonlinear Autoregressive Models |
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0 |
0 |
28 |
0 |
1 |
1 |
254 |
Asymmetric and common absorption of shocks in nonlinear autoregressive models |
0 |
0 |
0 |
26 |
2 |
2 |
3 |
100 |
Bayesian Analysis of Seasonal Unit Roots and Seasonal Mean Shifts |
0 |
0 |
0 |
10 |
0 |
1 |
1 |
60 |
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 |
0 |
0 |
0 |
0 |
1 |
2 |
4 |
50 |
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 |
0 |
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 |
4 |
45 |
0 |
0 |
6 |
131 |
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 |
1 |
141 |
Cointegration in a periodic vector autoregression |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
68 |
Combining Non-Replicable Forecasts |
0 |
0 |
0 |
38 |
0 |
0 |
0 |
100 |
Combining Non-Replicable Forecasts |
0 |
0 |
0 |
21 |
1 |
1 |
1 |
68 |
Common large innovations across nonlinear time series |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
47 |
Competence and confidence effects in experts' forecast adjustments |
0 |
0 |
0 |
27 |
1 |
3 |
3 |
55 |
Comprehensive review of the maritime safety regimes |
0 |
0 |
0 |
31 |
0 |
0 |
0 |
89 |
Confidence Intervals for Cronbach's Coefficient Alpha Values |
1 |
1 |
7 |
963 |
3 |
3 |
20 |
4,000 |
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 |
0 |
1 |
102 |
Convergence and Persistence of Left-Right Political Orientations in The Netherlands 1978-1995 |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
55 |
Correcting for Survey Effects in Pre-election Polls |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
130 |
Cycles in basic innovations |
0 |
0 |
1 |
22 |
0 |
1 |
2 |
82 |
Decomposing bias in expert forecast |
0 |
0 |
0 |
62 |
1 |
1 |
1 |
60 |
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 |
1 |
143 |
0 |
1 |
2 |
361 |
Determining the Order of Differencing in Seasonal Time Series Processes |
0 |
0 |
0 |
0 |
2 |
2 |
2 |
261 |
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 |
1 |
1 |
2 |
118 |
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 |
2 |
2 |
66 |
0 |
2 |
2 |
69 |
Do Charities Get More when They Ask More Often? Evidence from a Unique Field Experiment |
0 |
0 |
0 |
77 |
1 |
1 |
2 |
163 |
Do Commercial Real Estate Prices Have Predictive Content for GDP |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
165 |
Do Experts incorporate Statistical Model Forecasts and should they? |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
101 |
Do Experts' SKU Forecasts improve after Feedback? |
0 |
0 |
0 |
30 |
1 |
1 |
1 |
82 |
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 |
1 |
1 |
89 |
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 |
1 |
76 |
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 |
0 |
0 |
2 |
173 |
Does Africa grow slower than Asia and Latin America? |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
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 |
1 |
1 |
1 |
75 |
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 |
0 |
32 |
0 |
0 |
0 |
61 |
Does experts' adjustment to model-based forecasts contribute to forecast quality? |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
33 |
Does news on real Chinese GDP growth impact stock markets? |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
105 |
Does ratification matter and do major conventions improve safety and decrease pollution in shipping? |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
85 |
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 |
1 |
64 |
0 |
0 |
1 |
112 |
Does the ROMC have expertise, and can it forecast? |
0 |
1 |
1 |
10 |
0 |
1 |
4 |
135 |
Dynamic Effects of Trust and Cognitive Social Structures on Information Transfer Relationships |
0 |
0 |
0 |
151 |
0 |
1 |
1 |
583 |
Dynamic and Competitive Effects of Direct Mailings |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
193 |
Dynamics of expert adjustment to model-based forecast |
0 |
0 |
0 |
15 |
0 |
0 |
1 |
72 |
Ecological panel inference in repeated cross sections |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
26 |
Econometric Analysis of the Market Share Attraction Model |
1 |
1 |
4 |
1,327 |
2 |
5 |
14 |
3,794 |
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 |
1 |
1 |
1 |
258 |
Emigration, wage differentials and brain drain: The case of Suriname |
0 |
0 |
0 |
86 |
0 |
2 |
2 |
200 |
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 |
1 |
4 |
50 |
0 |
2 |
6 |
148 |
Estimating Loss Functions of Experts |
0 |
0 |
0 |
33 |
0 |
0 |
1 |
74 |
Estimating Loss Functions of Experts |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
42 |
Estimating duration intervals |
0 |
0 |
0 |
58 |
0 |
0 |
1 |
166 |
Estimating persistence for irregularly spaced historical data |
0 |
0 |
0 |
73 |
0 |
0 |
1 |
47 |
Estimating the market share attraction model using support vector regressions |
0 |
0 |
0 |
57 |
0 |
0 |
3 |
261 |
Evaluating Combined Non-Replicable Forecast |
0 |
0 |
1 |
3 |
1 |
1 |
2 |
81 |
Evaluating Combined Non-Replicable Forecasts |
0 |
0 |
0 |
7 |
0 |
1 |
1 |
49 |
Evaluating Combined Non-Replicable Forecasts |
0 |
0 |
1 |
19 |
0 |
0 |
2 |
81 |
Evaluating Direct Marketing Campaigns: recent findings and future research topics |
0 |
0 |
0 |
622 |
0 |
0 |
2 |
1,824 |
Evaluating Individual and Mean Non-Replicable Forecasts |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
144 |
Evaluating Individual and Mean Non-Replicable Forecasts |
0 |
0 |
0 |
11 |
0 |
0 |
1 |
79 |
Evaluating Individual and Mean Non-Replicable Forecasts |
0 |
0 |
1 |
22 |
0 |
0 |
1 |
86 |
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 |
0 |
1 |
97 |
0 |
1 |
2 |
150 |
Evaluating Macroeconomic Forecasts: A Concise Review of Some Recent Developments |
0 |
0 |
1 |
166 |
1 |
2 |
4 |
216 |
Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments |
0 |
0 |
1 |
60 |
0 |
0 |
2 |
160 |
Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments |
0 |
0 |
0 |
94 |
0 |
1 |
2 |
175 |
Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments |
0 |
0 |
0 |
127 |
1 |
1 |
1 |
172 |
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 |
1 |
36 |
Evaluating real-time forecasts in real-time |
0 |
0 |
1 |
21 |
0 |
1 |
3 |
92 |
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 |
0 |
45 |
0 |
0 |
1 |
357 |
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 |
5 |
471 |
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 |
54 |
Financial innumeracy |
0 |
0 |
0 |
26 |
0 |
0 |
0 |
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 |
0 |
41 |
0 |
0 |
0 |
82 |
Forecasting Earnings Forecasts |
0 |
0 |
0 |
21 |
0 |
0 |
1 |
50 |
Forecasting Market Shares from Models for Sales |
0 |
0 |
0 |
598 |
0 |
0 |
0 |
1,603 |
Forecasting Sales |
0 |
0 |
0 |
120 |
0 |
1 |
3 |
291 |
Forecasting aggregates using panels of nonlinear time series |
0 |
0 |
0 |
18 |
0 |
0 |
2 |
82 |
Forecasting economic and financial time-series with non-linear models |
0 |
0 |
0 |
876 |
0 |
0 |
2 |
1,660 |
Forecasting high-frequency electricity demand with a diffusion index model |
0 |
0 |
0 |
22 |
0 |
2 |
2 |
88 |
Forecasting in marketing |
0 |
0 |
1 |
40 |
0 |
0 |
1 |
87 |
Forecasting own brand sales: Does incorporating competition help? |
0 |
0 |
1 |
29 |
1 |
1 |
5 |
38 |
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 |
0 |
69 |
Forecasting volatility with switching persistence GARCH models |
0 |
0 |
0 |
22 |
1 |
1 |
1 |
71 |
Forecasting with periodic autoregressive time series models |
0 |
0 |
0 |
70 |
0 |
0 |
0 |
145 |
Forecasting: theory and practice |
0 |
4 |
12 |
89 |
0 |
4 |
23 |
102 |
Formalizing judgemental adjustment of model-based forecasts |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
66 |
Franses |
0 |
0 |
1 |
149 |
1 |
1 |
3 |
1,614 |
From first submission to citation: an empirical analysis |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
29 |
Gaussian Copula Regression in the Presence of Thresholds |
1 |
1 |
3 |
31 |
1 |
1 |
9 |
53 |
Heterogeneity in Manufacturing Growth Risk |
0 |
0 |
0 |
10 |
1 |
1 |
1 |
33 |
How Accurate are Government Forecast of Economic Fundamentals? |
0 |
0 |
0 |
57 |
0 |
0 |
0 |
145 |
How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
137 |
How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan |
0 |
0 |
0 |
51 |
0 |
0 |
0 |
225 |
How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan |
1 |
1 |
2 |
28 |
1 |
1 |
3 |
225 |
How Informative are the Unpredictable Components of Earnings Forecasts? |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
36 |
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 |
1 |
69 |
How to deal with intercept and trend in pratical cointegration analysis? |
0 |
0 |
0 |
138 |
0 |
0 |
1 |
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 |
62 |
Impulse Response Functions for Periodic Integration |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
595 |
Impulse-response analysis of the market share attraction model |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
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 |
0 |
1 |
5 |
447 |
Inequality amongst the wealthiest and its link with economic growth |
0 |
0 |
0 |
45 |
0 |
0 |
1 |
85 |
Inequality amongst the wealthiest and its link with economic growth |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
25 |
Inferring transition probabilities from repeated cross sections: a cross-level inference approach to US presidential voting |
0 |
0 |
0 |
13 |
0 |
0 |
1 |
56 |
Inflation rates; long-memoray, level shifts, or both? |
0 |
0 |
1 |
3 |
0 |
0 |
1 |
24 |
Inflation, Forecast Intervals and Long Memory Regression Models |
0 |
2 |
3 |
617 |
0 |
3 |
4 |
2,103 |
Interaction Between Shelf Layout and Marketing Effectiveness and Its Impact On Optimizing Shelf Arrangements |
0 |
1 |
1 |
185 |
1 |
2 |
2 |
828 |
Interlocking Boards and Firm Performance: Evidence from a New Panel Database |
1 |
1 |
1 |
157 |
1 |
1 |
4 |
729 |
Interpreting Financial Market Crashes as Earthquakes: A New early Warning System for Medium Term Crashes |
0 |
0 |
6 |
97 |
0 |
0 |
13 |
168 |
Intertemporal Similarity of Economic Time Series |
1 |
3 |
4 |
85 |
1 |
3 |
6 |
116 |
Irritation Due to Direct Mailings from Charities |
0 |
0 |
0 |
56 |
0 |
0 |
1 |
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 |
1 |
1 |
1 |
9 |
1 |
1 |
1 |
39 |
Low-fat, light, and reduced in calories |
0 |
0 |
0 |
33 |
1 |
2 |
2 |
64 |
Managing Sales Forecasters |
0 |
0 |
0 |
72 |
0 |
0 |
0 |
60 |
Measuring the effect of perceived corruption on detention and incident risk – an empirical analysis |
0 |
0 |
0 |
2 |
0 |
0 |
3 |
20 |
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 |
0 |
118 |
Model selection for forecast combination |
0 |
0 |
0 |
95 |
0 |
0 |
0 |
143 |
Model-based forecast adjustment; with an illustration to inflation |
0 |
0 |
0 |
34 |
0 |
0 |
1 |
53 |
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 |
2 |
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 |
1 |
1 |
1 |
863 |
Modeling Seasonality in New Product Diffusion |
0 |
0 |
0 |
79 |
1 |
2 |
2 |
185 |
Modeling Unobserved Consideration Sets for Household Panel Data |
0 |
0 |
0 |
203 |
0 |
0 |
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 |
0 |
3 |
26 |
0 |
0 |
3 |
72 |
Modeling charity donations: target selection, response time and gift size |
0 |
0 |
3 |
133 |
2 |
2 |
8 |
368 |
Modeling dynamic effects of promotion on interpurchase times |
0 |
0 |
0 |
24 |
0 |
0 |
1 |
102 |
Modeling purchases as repeated events |
0 |
0 |
0 |
27 |
0 |
0 |
0 |
100 |
Modeling regional house prices |
0 |
0 |
0 |
159 |
0 |
0 |
1 |
289 |
Modeling students' evealuation scores; comparing economics schools in Maastricht and Rotterdam |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
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 |
1 |
1 |
6 |
0 |
1 |
3 |
65 |
Modeling the effectiveness of hourly direct-response radio commercials |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
231 |
Modelling Multiple Regimes in the Business Cycle |
0 |
0 |
1 |
58 |
1 |
2 |
4 |
167 |
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 |
0 |
3 |
791 |
Monitoring structural change in variance |
0 |
0 |
0 |
23 |
1 |
1 |
1 |
74 |
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 |
0 |
70 |
0 |
1 |
1 |
176 |
Nonlinearities and outliers: robust specification of STAR models |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
143 |
On Forecasting Cointegrated Seasonal Time Series |
0 |
0 |
0 |
421 |
0 |
0 |
0 |
1,151 |
On Phillips-Perron Type Tests for Seasonal Unit Roots |
0 |
0 |
0 |
135 |
0 |
2 |
2 |
1,016 |
On SETAR non- linearity and forecasting |
0 |
0 |
0 |
54 |
1 |
1 |
1 |
126 |
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 |
1 |
13 |
1 |
1 |
2 |
47 |
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 |
0 |
36 |
On the econometrics of the Koyck model |
0 |
3 |
8 |
441 |
3 |
13 |
39 |
4,007 |
On the number of categories in an ordered regression model |
1 |
1 |
2 |
24 |
1 |
1 |
3 |
75 |
On the optimality of expert-adjusted forecasts |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
115 |
On the optimality of expert-adjusted forecasts |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
55 |
On the role of seasonal intercepts in seasonal cointegration |
0 |
0 |
0 |
43 |
0 |
1 |
1 |
218 |
On the role of seasonal intercepts in seasonal cointegration |
0 |
0 |
0 |
16 |
1 |
2 |
2 |
58 |
Ordered logit analysis for selectively sampled data |
0 |
0 |
0 |
33 |
0 |
0 |
2 |
129 |
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 |
0 |
0 |
2 |
34 |
0 |
0 |
3 |
107 |
Outlier robust cointegration analysis |
0 |
0 |
0 |
240 |
1 |
1 |
3 |
566 |
Outliers and judgemental adjustment of time series forecasts |
0 |
0 |
0 |
43 |
1 |
1 |
1 |
87 |
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 |
2 |
2 |
3 |
144 |
Prediction beyond the survey sample: correcting for survey effects on consumer decisions |
0 |
0 |
0 |
12 |
1 |
1 |
2 |
83 |
Professional Forecasters and January |
0 |
0 |
1 |
96 |
3 |
3 |
11 |
410 |
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 |
2 |
5 |
118 |
Ranking Models in Conjoint Analysis |
0 |
0 |
0 |
58 |
0 |
0 |
3 |
125 |
Real GDP growth in Africa, 1963-2016 |
0 |
0 |
0 |
54 |
0 |
0 |
0 |
107 |
Real time estimates of GDP growth |
0 |
0 |
1 |
47 |
0 |
1 |
2 |
100 |
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 |
0 |
0 |
1 |
61 |
0 |
0 |
3 |
65 |
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 |
0 |
154 |
Return migration of high skilled workers |
0 |
0 |
0 |
45 |
0 |
1 |
2 |
80 |
Risk Perception and Decision-Making by the Corporate Elite: Empirical Evidence for Netherlands-based Companies |
0 |
0 |
0 |
16 |
0 |
0 |
2 |
107 |
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 |
1 |
1 |
1 |
6 |
3 |
4 |
8 |
31 |
SEASONALITY, OUTLIERS AND LINEARITY |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
SETS, Arbitrage Activity, and Stock Price Dynamics |
0 |
0 |
0 |
310 |
0 |
1 |
1 |
1,382 |
Sales Models For Many Items Using Attribute Data |
0 |
0 |
1 |
201 |
0 |
0 |
3 |
771 |
Seasonal adjustment and the business cycle in unemployment |
0 |
0 |
0 |
14 |
1 |
1 |
2 |
59 |
Seasonal smooth transition autoregression |
0 |
0 |
1 |
39 |
0 |
0 |
2 |
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 |
1 |
1 |
1 |
70 |
Semi-Parametric Modelling of Correlation Dynamics |
0 |
0 |
1 |
58 |
0 |
0 |
2 |
139 |
Short Patches of Outliers, ARCH and Volatility Modeling |
0 |
0 |
0 |
281 |
0 |
0 |
0 |
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 |
1 |
1 |
4 |
1,809 |
4 |
6 |
17 |
3,409 |
Smooth transition autoregressive models - A survey of recent developments |
2 |
3 |
5 |
459 |
4 |
6 |
12 |
876 |
Specification Testing in Hawkes Models |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
63 |
Spurious Principal Components |
1 |
1 |
1 |
54 |
1 |
1 |
1 |
49 |
Stability through cycles |
0 |
0 |
0 |
35 |
0 |
1 |
1 |
63 |
Statistical Institutes and Economic Prosperity |
0 |
0 |
0 |
26 |
0 |
0 |
0 |
85 |
Stochastic levels and duration dependence in US unemployment |
1 |
1 |
1 |
39 |
1 |
1 |
1 |
33 |
Structural breaks and long memory in US inflation rates: do they matter for forecasting? |
0 |
0 |
0 |
26 |
1 |
1 |
1 |
87 |
TESTING FOR SEASONAL UNIT ROOTS IN MONTHLY DATA |
0 |
0 |
2 |
69 |
0 |
0 |
4 |
122 |
TESTING FOR WHITE NOISE IN TIME SERIES MODELS |
0 |
0 |
0 |
8 |
1 |
1 |
2 |
43 |
THE GOMPERTZ CURVE: ESTIMATION AND SELECTION |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
13 |
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 |
1 |
24 |
Testing Changing Harmonic Regressors |
0 |
0 |
0 |
26 |
0 |
0 |
0 |
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 |
0 |
0 |
0 |
0 |
3 |
Testing Nested and Non-Nested Periodically Integrated Autoregressive Models |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
24 |
Testing changes in consumer confidence indicators |
0 |
0 |
1 |
25 |
1 |
1 |
2 |
85 |
Testing common deterministic seasonality |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
37 |
Testing for ARCH in the Presence of Additive Outliers |
0 |
0 |
0 |
26 |
1 |
1 |
2 |
140 |
Testing for Common Deterministic Trend Slopes |
0 |
0 |
0 |
43 |
1 |
2 |
2 |
247 |
Testing for Smooth Transition Nonlinearity in the Presence of Outliers |
0 |
0 |
0 |
47 |
0 |
0 |
0 |
141 |
Testing for common deterministic trend slopes |
0 |
0 |
0 |
14 |
0 |
1 |
1 |
189 |
Testing for converging deterministic seasonal variation in European industrial production |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
32 |
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 |
1 |
1 |
158 |
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 |
1 |
1 |
144 |
The Econometrics Of The Bass Diffusion Model |
0 |
0 |
1 |
989 |
0 |
0 |
5 |
3,128 |
The Effect of Relational Constructs on Relationship Performance |
0 |
0 |
0 |
563 |
1 |
1 |
3 |
1,582 |
The Global View on Port State Control |
0 |
0 |
1 |
36 |
0 |
0 |
1 |
118 |
The Impact of Mobile Telephone Use on Economic Development of Households in Uganda |
0 |
0 |
0 |
59 |
1 |
3 |
3 |
184 |
The Late 1970's Bubble in Dutch Collectible Postage Stamps |
0 |
0 |
1 |
16 |
0 |
1 |
4 |
100 |
The Launch Timing of New and Dominant Multigeneration Technologies |
0 |
0 |
0 |
28 |
1 |
1 |
1 |
96 |
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 |
1 |
1 |
65 |
0 |
1 |
4 |
196 |
The Triggers, Timing and Speed of New Product Price Landings |
0 |
0 |
0 |
62 |
1 |
1 |
1 |
181 |
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? |
2 |
7 |
53 |
603 |
16 |
33 |
174 |
1,852 |
The impact of brand and category characteristics on consumer stock-out reactions |
0 |
0 |
0 |
296 |
0 |
0 |
1 |
967 |
The life cycle of social media |
1 |
1 |
4 |
128 |
2 |
2 |
6 |
156 |
This time it is different! Or not? |
0 |
0 |
0 |
43 |
0 |
0 |
1 |
75 |
Time-Series Models in Marketing |
0 |
0 |
0 |
578 |
0 |
0 |
1 |
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 |
1 |
1 |
59 |
Using Selective Sampling for Binary Choice Models to Reduce Survey Costs |
0 |
0 |
0 |
194 |
0 |
0 |
0 |
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 |
1 |
1 |
3 |
64 |
What Makes a Great Journal Great in the Sciences? Which Came First, the Chicken or the Egg? |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
111 |
What drives the Quotes of Earnings Forecasters? |
0 |
0 |
0 |
19 |
1 |
1 |
1 |
76 |
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 |
2 |
351 |
Which Brands gain Share from which Brands? Inference from Store-Level Scanner Data |
0 |
0 |
0 |
108 |
1 |
1 |
1 |
354 |
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 |
0 |
69 |
1 |
2 |
8 |
371 |
Yet another look at MIDAS regression |
0 |
0 |
1 |
270 |
1 |
1 |
3 |
101 |
Total Working Papers |
18 |
42 |
185 |
29,317 |
116 |
219 |
729 |
94,695 |