Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Bivariate Causality between Stock Prices and Exchange Rates: Evidence from Recent Asia Flu |
0 |
0 |
3 |
220 |
0 |
1 |
10 |
497 |
A Decision_Theoretic Approach to Forecast Evaluation |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
1,059 |
A Dependence Metric for Nonlinear Time Series |
0 |
1 |
1 |
310 |
0 |
1 |
1 |
548 |
A simple nonlinear time series model with misleading linear properties |
0 |
0 |
0 |
20 |
1 |
1 |
3 |
1,214 |
Aggregation of Space-Time Processes |
0 |
0 |
1 |
320 |
0 |
0 |
2 |
776 |
Aggregation of time series variables-a survey |
0 |
1 |
8 |
662 |
2 |
4 |
20 |
2,153 |
Aggregationn of Space-Time Processes |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
83 |
An introduction to stochastic Unit Root Processes |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
1,431 |
Autobiography |
0 |
0 |
0 |
87 |
2 |
2 |
3 |
203 |
Causality: Some New Thoughts on an Old Topic |
0 |
0 |
0 |
7 |
1 |
3 |
14 |
998 |
Comments on the evaluation of policy models |
0 |
0 |
1 |
44 |
0 |
0 |
2 |
333 |
Common Factors in Conditional Distributions |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
53 |
Common factors in conditional distributions |
0 |
0 |
0 |
223 |
0 |
0 |
0 |
1,078 |
Common factors in conditional distributions for Bivariate time series |
0 |
0 |
0 |
240 |
1 |
1 |
1 |
607 |
Common factors in conditional distributions for Bivariate time series |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
Copycats and Common Swings: the Impact of the Use of Forecasts in Information Sets |
0 |
0 |
0 |
108 |
0 |
0 |
1 |
464 |
Economic and Statistical Measures of Forecast Accuracy |
1 |
1 |
3 |
1,795 |
2 |
3 |
8 |
5,802 |
Efficient Market Hypothesis and Forecasting |
1 |
2 |
6 |
1,248 |
2 |
5 |
12 |
3,381 |
Estimation of Common Long-Memory Components in Cointegrated Systems |
0 |
0 |
0 |
6 |
2 |
6 |
12 |
1,837 |
Extracting Information from Mega-Panels and High-Frequency Data |
0 |
0 |
0 |
41 |
0 |
0 |
2 |
177 |
Fisheries Management Under Cyclical Population Dynamics |
0 |
0 |
0 |
24 |
0 |
0 |
1 |
70 |
Further Developments in the Study of Cointegrated Variables |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
364 |
Hidden Cointegration |
2 |
3 |
5 |
525 |
4 |
7 |
25 |
1,046 |
Hidden Cointegration |
2 |
2 |
7 |
103 |
4 |
10 |
32 |
345 |
Impulse Response Functions Based on Causal Approach to Residual Orthogonalization in Vector Autoregressions |
0 |
0 |
0 |
1 |
2 |
4 |
10 |
551 |
Interview with the 2003 Economics Laureates, Clive W.J. Granger and Robert F. Engle III |
0 |
0 |
1 |
148 |
0 |
0 |
6 |
484 |
Introduction to M-M Processes |
0 |
0 |
0 |
11 |
0 |
0 |
0 |
65 |
Investigating the relationship between gold and silver prices |
0 |
0 |
2 |
16 |
3 |
4 |
7 |
70 |
Is Seasonal Adjustment a Linear or Nonlinear Data Filtering Process? |
0 |
0 |
2 |
454 |
1 |
1 |
5 |
1,922 |
Is Seasonal Adjustment a Linear or Nonlinear Data Filtring Process |
0 |
0 |
0 |
33 |
1 |
1 |
1 |
282 |
Is Seasonal Adjustment a Linear or Nonlinear Data Filtring Process |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
512 |
Modeling Amazon Deforestation for Policy Purposes |
0 |
0 |
0 |
267 |
2 |
3 |
4 |
776 |
Modelling the Absolute Returns of Different Stock Indices: Exploring the Forecastability of an Alternative Measure of Risk |
0 |
0 |
0 |
23 |
1 |
1 |
3 |
95 |
Non-stationarities in stock returns |
2 |
2 |
3 |
785 |
2 |
2 |
9 |
1,500 |
Occasional Structural Breaks and Long Memory |
0 |
0 |
2 |
44 |
0 |
0 |
4 |
135 |
Properties of Nonlinear Transformations of Fractionally Integrated Processes |
0 |
0 |
1 |
11 |
0 |
0 |
1 |
65 |
Properties of nonlinear transformations of fractionally integrated processes |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
48 |
Reasonable extreme bounds analysis |
0 |
0 |
0 |
365 |
2 |
2 |
2 |
1,418 |
Regime Sensitive Cointegration with an Application to Interest rate Parity |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1,635 |
SEASONAL INTEGRATION AND COINTEGRATION |
0 |
0 |
0 |
2 |
3 |
5 |
10 |
1,394 |
SEASONAL, INTEGRATION AND COINTEGRATION |
0 |
0 |
0 |
2 |
2 |
4 |
9 |
1,305 |
Seasonal Adjustment and Volatility Dynamics |
0 |
0 |
0 |
386 |
0 |
0 |
1 |
1,466 |
Self-Generating Variables in a Cointegrated VAR Framework |
0 |
0 |
0 |
12 |
1 |
1 |
1 |
72 |
Some Generalizations on the Algebra of I(1) Processes |
0 |
0 |
0 |
0 |
2 |
2 |
6 |
217 |
Spurious Regressions with Stationary Series |
0 |
0 |
1 |
62 |
0 |
0 |
4 |
133 |
Stochastic Trends and Short-Run Relationships Between Financial Variables and Real Activity |
0 |
0 |
0 |
98 |
0 |
0 |
1 |
607 |
Structurally-Induced Volatility Clustering |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
67 |
Systematic Sampling, Temporal Aggregation, Seasonal Adjustment, and Cointegration: Theory and Evidence |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
729 |
TREASURY BI;; YIELD CURVES AND COINTEGRATION |
0 |
0 |
0 |
1 |
0 |
0 |
4 |
1,377 |
The Impact of the Use of Forecasts in Information Sets |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
36 |
The algebra of I (1) |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
535 |
The correlogram of a long memory process plus a simple noise |
0 |
0 |
0 |
8 |
1 |
1 |
2 |
45 |
The impact of the use of forecasts in information sets |
0 |
0 |
0 |
16 |
0 |
1 |
1 |
114 |
Time Series Analysis, Cointegration, and Applications |
0 |
0 |
2 |
350 |
0 |
0 |
13 |
660 |
Time Series Analysis, Cointegration, and Applications |
0 |
0 |
2 |
81 |
0 |
0 |
3 |
190 |
Unit Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates |
0 |
0 |
0 |
0 |
1 |
3 |
8 |
567 |
What are we learning about the long-run? |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
41 |
Women’s Jobs and Marriage: Baby-Boom versus Baby-Bust (Travail des Femmes et Mariage: du baby-boom au baby-bust) |
0 |
0 |
0 |
4 |
2 |
4 |
6 |
60 |
Total Working Papers |
8 |
12 |
51 |
9,225 |
51 |
87 |
281 |
43,693 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
2 Some Comments on Econometric Methodology |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
5 |
A Cointegration Analysis of Treasury Bill Yields |
0 |
1 |
6 |
1,070 |
0 |
2 |
15 |
2,934 |
A DIALOGUE CONCERNING A NEW INSTRUMENT FOR ECONOMETRIC MODELING |
0 |
0 |
1 |
50 |
0 |
0 |
2 |
184 |
A Dependence Metric for Possibly Nonlinear Processes |
2 |
3 |
6 |
118 |
2 |
3 |
10 |
341 |
A Fresh Look at Wheat Prices and Markets in the Eighteenth Century |
0 |
0 |
1 |
11 |
0 |
0 |
2 |
60 |
A Random Coefficient Var Transition Model of the Changes in Land Use in the Brazilian Amazon |
0 |
0 |
0 |
3 |
0 |
2 |
2 |
16 |
A Review of Some Recent Textbooks of Econometrics |
0 |
0 |
0 |
141 |
1 |
1 |
1 |
415 |
A bivariate causality between stock prices and exchange rates: evidence from recent Asianflu |
2 |
3 |
10 |
672 |
2 |
7 |
36 |
1,879 |
A long memory property of stock market returns and a new model |
3 |
11 |
56 |
2,829 |
8 |
24 |
121 |
5,747 |
A simple nonlinear time series model with misleading linear properties |
0 |
0 |
1 |
259 |
2 |
2 |
7 |
535 |
A time-distance criterion for evaluating forecasting models |
0 |
0 |
0 |
70 |
0 |
0 |
0 |
187 |
ACRONYMS IN TIME SERIES ANALYSIS (ATSA) |
0 |
0 |
0 |
8 |
1 |
1 |
2 |
20 |
AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING |
7 |
12 |
37 |
200 |
10 |
19 |
56 |
327 |
Advertising and Aggregate Consumption: An Analysis of Causality |
0 |
0 |
3 |
421 |
0 |
0 |
4 |
1,371 |
Aggregation of space-time processes |
0 |
0 |
3 |
270 |
0 |
0 |
6 |
661 |
An introduction to stochastic unit-root processes |
0 |
0 |
0 |
382 |
0 |
0 |
2 |
854 |
Analysing qualitative data, by A. E. Maxwell, Methuen (1961), pp. 163, $3.00. QUEUES, by D. R. Cox and Walter L. Smith, Methuen (1961), pp. 180, $3.75 |
0 |
0 |
1 |
2 |
1 |
1 |
3 |
16 |
Can We Improve the Perceived Quality of Economic Forecasts? |
0 |
0 |
3 |
230 |
0 |
0 |
6 |
677 |
Causality, cointegration, and control |
2 |
6 |
12 |
507 |
4 |
9 |
27 |
1,075 |
Co-integration and Error Correction: Representation, Estimation, and Testing |
13 |
23 |
146 |
15,899 |
36 |
104 |
499 |
39,351 |
Co-integration and error correction: Representation, estimation, and testing |
4 |
14 |
76 |
848 |
24 |
66 |
293 |
2,885 |
Combining competing forecasts of inflation using a bivariate arch model |
0 |
0 |
1 |
182 |
0 |
0 |
6 |
442 |
Comments on "Forecasting economic and financial variables with global VARs" |
0 |
0 |
0 |
19 |
1 |
1 |
2 |
81 |
Comments on testing economic theories and the use of model selection criteria |
0 |
0 |
2 |
222 |
0 |
0 |
7 |
588 |
Comments on the evaluation of policy models |
0 |
0 |
0 |
35 |
0 |
0 |
1 |
188 |
Common factors in conditional distributions for bivariate time series |
0 |
0 |
0 |
109 |
0 |
1 |
2 |
292 |
Comparing forecasts of inflation using time distance |
0 |
0 |
2 |
65 |
0 |
0 |
3 |
190 |
Comparing the methodologies used by statisticians and economists for research and modeling5 |
0 |
0 |
3 |
58 |
0 |
0 |
4 |
194 |
Consideration of Trends in Time Series |
1 |
3 |
4 |
300 |
2 |
4 |
8 |
626 |
Copycats and Common Swings: The Impact of the Use of Forecasts in Information Sets |
0 |
0 |
0 |
80 |
0 |
0 |
0 |
453 |
Corrigendum to "Comparing forecasts of inflation using time distance" [International Journal of Forecasting 19 (2003) 339-349] |
0 |
1 |
1 |
18 |
0 |
1 |
1 |
118 |
Curriculum Vitae |
0 |
1 |
1 |
74 |
0 |
1 |
1 |
186 |
Data mining with local model specification uncertainty: a discussion of Hoover and Perez |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
482 |
Developments in the Study of Cointegrated Economic Variables |
0 |
0 |
0 |
26 |
4 |
6 |
17 |
3,148 |
Dynamics of Model Overfitting Measured in terms of Autoregressive Roots |
0 |
0 |
0 |
42 |
1 |
1 |
1 |
209 |
Efficient market hypothesis and forecasting |
2 |
5 |
10 |
409 |
6 |
13 |
30 |
1,098 |
Estimation of Common Long-Memory Components in Cointegrated Systems |
0 |
0 |
0 |
0 |
1 |
9 |
26 |
2,380 |
Evaluating significance: comments on "size matters" |
0 |
0 |
1 |
75 |
0 |
0 |
1 |
215 |
Evaluation of global models |
0 |
0 |
3 |
130 |
1 |
1 |
6 |
286 |
Exchange rates and fundamentals - comments |
0 |
0 |
0 |
82 |
0 |
0 |
0 |
214 |
Experience with using the Box-Cox transformation when forecasting economic time series |
0 |
0 |
0 |
185 |
0 |
0 |
1 |
573 |
Extracting information from mega‐panels and high‐frequency data |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
29 |
FORECASTING BUSINESS CYCLES USING DEVIATIONS FROM LONG-RUN ECONOMIC RELATIONSHIPS |
0 |
0 |
0 |
25 |
0 |
1 |
1 |
111 |
Fellow's opinion: Evaluating economic theory |
0 |
0 |
0 |
37 |
0 |
0 |
1 |
187 |
Fisheries Management Under Cyclical Population Dynamics |
0 |
0 |
0 |
39 |
1 |
1 |
3 |
165 |
Forecasting Accuracy of Alternative Techniques: A Comparison of U.S. Macroeconomic Forecasts: Comment |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
272 |
Forecasting Performance of Information Criteria with Many Macro Series |
0 |
0 |
1 |
109 |
0 |
0 |
2 |
380 |
Forecasting Volatility in Financial Markets: A Review |
3 |
7 |
24 |
451 |
5 |
19 |
54 |
5,392 |
Forecasting stock market prices: Lessons for forecasters |
1 |
1 |
2 |
327 |
1 |
2 |
7 |
660 |
Forecasting--looking back and forward: Paper to celebrate the 50th anniversary of the Econometrics Institute at the Erasmus University, Rotterdam |
0 |
0 |
0 |
63 |
0 |
0 |
1 |
224 |
Future Developments in the Study of Cointegrated Variables |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
405 |
Implications of Aggregation with Common Factors |
0 |
0 |
1 |
57 |
0 |
0 |
1 |
120 |
Implications of seeing economic variables through an aggregation window |
0 |
0 |
0 |
23 |
0 |
0 |
1 |
95 |
Interactions between large macro models and time series analysis |
0 |
0 |
0 |
98 |
0 |
0 |
1 |
347 |
Interval forecasting: An analysis based upon ARCH-quantile estimators |
1 |
1 |
2 |
217 |
1 |
1 |
5 |
492 |
Introducing Non-Linearity Into Cointegration |
0 |
0 |
0 |
8 |
0 |
0 |
2 |
24 |
Introduction to m-m processes |
0 |
0 |
0 |
47 |
0 |
0 |
0 |
189 |
Investigating Causal Relations by Econometric Models and Cross-Spectral Methods |
5 |
14 |
78 |
4,698 |
18 |
63 |
292 |
14,500 |
Investigation of Production, Sales and Inventory Relationships Using Multicointegration and Non-symmetric Error Correction Models |
0 |
0 |
2 |
523 |
1 |
1 |
6 |
1,267 |
Is Seasonal Adjustment a Linear or Nonlinear Data-Filtering Process? |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
590 |
Is Seasonal Adjustment a Linear or Nonlinear Data-Filtering Process? Reply |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
191 |
Issues Involved with the Seasonal Adjustment of Economic Time Series: Comment |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
135 |
Judy Klein, Statistical Visions in Time: A History of Time Series Analysis, 1662–1938 (Cambridge, Cambridge University Press1997), pp.xix + 345. $64.95. ISBN 1-521-42-46-6 |
0 |
0 |
0 |
49 |
0 |
0 |
0 |
162 |
Large returns, conditional correlation and portfolio diversification: a value-at-risk approach |
0 |
0 |
0 |
27 |
0 |
1 |
5 |
127 |
Linking series generated at different frequencies This work is part of a PhD dissertation presented at the University of California, San Diego (1999) |
0 |
0 |
0 |
78 |
0 |
0 |
2 |
219 |
Long Memory Series with Attractors |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
244 |
Long memory relationships and the aggregation of dynamic models |
1 |
1 |
9 |
506 |
2 |
6 |
29 |
1,009 |
Long-term forecasting and evaluation |
0 |
0 |
3 |
124 |
1 |
1 |
7 |
320 |
MODELS THAT GENERATE TRENDS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |
Macroeconometrics - Past and future |
0 |
0 |
1 |
174 |
0 |
1 |
2 |
312 |
Management of supply chain: an alternative modelling technique for forecasting |
0 |
0 |
1 |
5 |
1 |
1 |
5 |
23 |
Merging short-and long-run forecasts: An application of seasonal cointegration to monthly electricity sales forecasting |
0 |
2 |
3 |
286 |
0 |
2 |
8 |
686 |
Model evaluation based on residual analysis of two similar models |
0 |
0 |
1 |
54 |
0 |
0 |
3 |
232 |
Modeling Amazon deforestation for policy purposes: reconciling conservation priorities and human development |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
3 |
Modeling Amazon deforestation for policy purposes: reconciling conservation priorities and human development |
0 |
0 |
0 |
7 |
0 |
1 |
1 |
54 |
Modeling volatility persistence of speculative returns: A new approach |
0 |
2 |
6 |
516 |
3 |
7 |
21 |
1,039 |
Modeling, Evaluation, and Methodology in the New Century |
0 |
0 |
0 |
86 |
1 |
1 |
1 |
330 |
Modelling Nonlinear Relationships between Extended-Memory Variables |
1 |
1 |
1 |
102 |
1 |
1 |
2 |
574 |
Multidimensional Gaussian distributions, by K. S. Miller, published by John Wiley and Sons, New York, 1964, viii + 129 pages, $9.50. The SIAM series in Applied Mathematics |
0 |
0 |
5 |
35 |
1 |
1 |
13 |
82 |
NONLINEAR TRANSFORMATIONS OF INTEGRATED TIME SERIES |
0 |
0 |
0 |
8 |
3 |
3 |
4 |
24 |
Nearer-Normality and Some Econometric Models |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
143 |
Non-Linear Models: Where Do We Go Next - Time Varying Parameter Models? |
0 |
1 |
9 |
431 |
1 |
5 |
27 |
787 |
Nonlinear stochastic trends |
0 |
0 |
3 |
70 |
0 |
0 |
3 |
204 |
Nonstationarities in Stock Returns |
0 |
0 |
1 |
334 |
2 |
2 |
3 |
734 |
OVERVIEW OF NONLINEAR MACROECONOMETRIC EMPIRICAL MODELS |
0 |
0 |
0 |
40 |
1 |
1 |
3 |
101 |
Occasional Structural Breaks and Long Memory |
0 |
0 |
0 |
64 |
0 |
0 |
1 |
250 |
Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns |
0 |
1 |
2 |
280 |
0 |
1 |
9 |
597 |
On Model Approximation for Long-Memory Processes: A Cautionary Result |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
155 |
On Modelling the Long Run in Applied Economics |
0 |
0 |
0 |
115 |
0 |
0 |
0 |
358 |
On the Price Consciousness of Consumers |
0 |
0 |
7 |
46 |
1 |
3 |
18 |
124 |
On the invertibility of time series models |
0 |
0 |
1 |
37 |
0 |
0 |
2 |
150 |
On the properties of forecasts used in optimal economic policy decisions |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
73 |
Opening comments: Predictive methodology and application in economics and finance.: Presentation for the San Diego Conference, January, 2004 |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
136 |
Outline of forecast theory using generalized cost functions |
0 |
2 |
6 |
372 |
1 |
3 |
8 |
1,221 |
POWER OF THE NEURAL NETWORK LINEARITY TEST |
4 |
9 |
39 |
104 |
6 |
16 |
63 |
190 |
Practical Issues in Forecasting Volatility |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
Predictive Consequences of Using Conditioning or Causal Variables |
0 |
0 |
0 |
25 |
1 |
1 |
1 |
86 |
Preface: Some Thoughts on the Future of Forecasting |
0 |
0 |
0 |
3 |
1 |
1 |
2 |
8 |
Properties of nonlinear transformations of fractionally integrated processes |
0 |
0 |
2 |
83 |
0 |
0 |
4 |
262 |
REGIME-SENSITIVE COINTEGRATION WITH AN APPLICATION TO INTEREST-RATE PARITY |
0 |
0 |
0 |
81 |
1 |
1 |
2 |
240 |
Real and Spurious Long-Memory Properties of Stock-Market Data: Comment |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
198 |
Reasonable extreme-bounds analysis |
0 |
0 |
0 |
220 |
1 |
2 |
3 |
601 |
Residential load curves and time-of-day pricing: An econometric analysis |
0 |
0 |
0 |
241 |
0 |
0 |
0 |
903 |
Seasonal integration and cointegration |
3 |
12 |
31 |
1,676 |
3 |
18 |
53 |
3,541 |
Separation in Cointegrated Systems and Persistent-Transitory Decompositions |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
172 |
Shorte-run forecasts of electricity loads and peaks |
0 |
1 |
3 |
234 |
0 |
1 |
4 |
515 |
Some Consequences of the Valuation Model when Expectations Are Taken to Be Optimum Forecasts |
1 |
1 |
1 |
18 |
1 |
1 |
1 |
76 |
Some Properties of Absolute Return: An Alternative Measure of Risk |
0 |
3 |
14 |
97 |
2 |
5 |
23 |
217 |
Some aspects of causal relationships |
1 |
1 |
5 |
318 |
3 |
5 |
15 |
676 |
Some comments on risk |
0 |
0 |
0 |
220 |
0 |
0 |
1 |
501 |
Some generalizations on the algebra of I(1) processes |
0 |
0 |
0 |
79 |
0 |
0 |
1 |
221 |
Some properties of time series data and their use in econometric model specification |
2 |
8 |
35 |
2,778 |
4 |
13 |
77 |
6,350 |
Some recent development in a concept of causality |
2 |
6 |
16 |
1,949 |
6 |
12 |
40 |
3,907 |
Some thoughts on the development of cointegration |
0 |
0 |
3 |
69 |
0 |
0 |
5 |
183 |
Spectral Analysis of the Term Structure of Interest Rates |
0 |
0 |
0 |
9 |
1 |
1 |
2 |
50 |
Spurious Stochastics in a Short Time-Series Panel Data |
0 |
0 |
0 |
11 |
2 |
2 |
3 |
41 |
Spurious regressions in econometrics |
3 |
13 |
64 |
2,952 |
7 |
31 |
176 |
7,297 |
Spurious regressions with stationary series |
2 |
3 |
8 |
328 |
4 |
6 |
25 |
829 |
Statistical theory of communication, by Y. W. Lee. John Wiley and Sons, New York, 1960. pp. xviii + 510 |
0 |
1 |
3 |
17 |
0 |
1 |
7 |
124 |
Strategies for Modelling Nonlinear Time‐Series Relationships |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
11 |
Structural attribution of observed volatility clustering |
0 |
0 |
2 |
45 |
0 |
0 |
3 |
202 |
Systematic sampling, temporal aggregation, seasonal adjustment, and cointegration theory and evidence |
0 |
0 |
0 |
121 |
0 |
0 |
2 |
398 |
THE RESEARCH INTERESTS OF PAUL NEWBOLD |
0 |
0 |
0 |
35 |
1 |
1 |
2 |
137 |
Tendency towards normality of linear combinations of random variables |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
102 |
Testing for Common Features: Comment |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
118 |
Testing for causality: A personal viewpoint |
4 |
9 |
53 |
1,906 |
6 |
13 |
88 |
3,466 |
Testing for neglected nonlinearity in time series models: A comparison of neural network methods and alternative tests |
0 |
0 |
4 |
626 |
0 |
3 |
19 |
1,434 |
The Applied Economics journals: a personal reflection |
0 |
0 |
1 |
70 |
1 |
1 |
2 |
847 |
The Evolution of the Phillips Curve: A Modern Time Series Viewpoint |
0 |
0 |
1 |
79 |
0 |
1 |
4 |
199 |
The Gold Sovereign Market in Greece-An Unusual Speculative Market |
0 |
0 |
1 |
70 |
1 |
1 |
4 |
320 |
The Japanese consumption function |
1 |
1 |
4 |
182 |
1 |
1 |
6 |
516 |
The Present and Future of Empirical Finance |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
The billing cycle and weather variables in models of electricity sales |
0 |
0 |
1 |
6 |
0 |
1 |
4 |
42 |
The combination of forecasts using changing weights |
0 |
0 |
5 |
379 |
0 |
0 |
8 |
760 |
The distributional properties of shocks to a fractional I(d) process having a marginal exponential distribution |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
176 |
The effect of aggregation on nonlinearity |
0 |
0 |
0 |
53 |
1 |
1 |
1 |
162 |
The mathematica theory of linear systems, by B. M. Brown. Automation and control engineering series, no. 1. J. Wiley & Sons, New York, 1961. pp. xv + 267 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
10 |
The past and future of empirical finance: some personal comments |
0 |
0 |
1 |
84 |
0 |
0 |
2 |
223 |
The use of R2 to determine the appropriate transformation of regression variables |
0 |
0 |
0 |
88 |
10 |
11 |
14 |
266 |
Thick modeling |
0 |
0 |
10 |
632 |
0 |
1 |
17 |
1,540 |
Time Series Analysis, Cointegration, and Applications |
0 |
2 |
6 |
655 |
0 |
2 |
12 |
1,311 |
Time Series Concepts for Conditional Distributions* |
0 |
0 |
3 |
104 |
1 |
1 |
5 |
271 |
Time series analysis of residuals from the St. Louis model |
0 |
0 |
1 |
29 |
0 |
0 |
2 |
142 |
Trends in unit energy consumption: The performance of end-use models |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
47 |
USING THE MUTUAL INFORMATION COEFFICIENT TO IDENTIFY LAGS IN NONLINEAR MODELS |
1 |
5 |
11 |
45 |
1 |
7 |
17 |
74 |
Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates |
0 |
0 |
0 |
0 |
2 |
4 |
11 |
2,116 |
Useful conclusions from surprising results |
0 |
0 |
3 |
72 |
0 |
0 |
6 |
161 |
Using the Correlation Exponent to Decide whether an Economic Series is Chaotic |
0 |
0 |
1 |
135 |
1 |
1 |
3 |
508 |
Varieties of long memory models |
0 |
1 |
1 |
422 |
0 |
1 |
1 |
913 |
What Are We Learning about the Long-Run? |
0 |
0 |
0 |
86 |
1 |
1 |
2 |
262 |
Total Journal Articles |
72 |
192 |
892 |
54,256 |
229 |
587 |
2,535 |
151,685 |