Details about Richard Ashley

Access statistics for papers by Richard Ashley.

Last updated 2024-07-04. Update your information in the RePEc Author Service.

Short-id: pas1

Working Papers

2023

1. The Intermittent Phillips Curve: Finding a Stable (But Persistence-Dependent) Phillips Curve Model Specification
   Working Papers, Federal Reserve Bank of Cleveland View citations (1)

2019

2. A New Look at Historical Monetary Policy and the Great Inflation through the Lens of a Persistence-Dependent Policy Rule
   Working Papers, Federal Reserve Bank of Cleveland
   See also Journal Article A new look at historical monetary policy (and the great inflation) through the lens of a persistence-dependent policy rule, Oxford Economic Papers, Oxford University Press (2020) View citations (8) (2020)

2018

3. All Fluctuations Are Not Created Equal: The Differential Roles of Transitory versus Persistent Changes in Driving Historical Monetary Policy
   Working Papers (Old Series), Federal Reserve Bank of Cleveland View citations (1)

2015

4. Persistence Dependence in Empirical Relations: The Velocity of Money
   Working Papers (Old Series), Federal Reserve Bank of Cleveland View citations (1)

2014

5. Frequency Dependence in a Real-Time Monetary Policy Rule
   Working Papers (Old Series), Federal Reserve Bank of Cleveland View citations (1)

Journal Articles

2020

1. A new look at historical monetary policy (and the great inflation) through the lens of a persistence-dependent policy rule
   Oxford Economic Papers, 2020, 72, (3), 672-691 View citations (8)
   See also Working Paper A New Look at Historical Monetary Policy and the Great Inflation through the Lens of a Persistence-Dependent Policy Rule, Working Papers (2019) (2019)
2. Sensitivity Analysis of an OLS Multiple Regression Inference with Respect to Possible Linear Endogeneity in the Explanatory Variables, for Both Modest and for Extremely Large Samples
   Econometrics, 2020, 8, (1), 1-24 View citations (1)

2016

3. Subset-Continuous-Updating GMM Estimators for Dynamic Panel Data Models
   Econometrics, 2016, 4, (4), 1-13 View citations (4)

2015

4. Comparing the effectiveness of traditional vs. mechanized identification methods in post-sample forecasting for a macroeconomic Granger causality analysis
   International Journal of Forecasting, 2015, 31, (2), 488-500
5. Sensitivity analysis for inference in 2SLS/GMM estimation with possibly flawed instruments
   Empirical Economics, 2015, 49, (4), 1153-1171 View citations (6)

2014

6. Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach
   Econometrics, 2014, 2, (1), 1-20 View citations (10)
7. Re-examining the impact of housing wealth and stock wealth on retail sales: Does persistence in wealth changes matter?
   Journal of Housing Economics, 2014, 26, (C), 109-118 View citations (5)

2012

8. On the Granger causality between median inflation and price dispersion
   Applied Economics, 2012, 44, (32), 4221-4238 View citations (4)
9. On the Origins of Conditional Heteroscedasticity in Time Series
   Korean Economic Review, 2012, 28, 5-25 View citations (1)

2010

10. Motives for Giving: A Reanalysis of Two Classic Public Goods Experiments
    Southern Economic Journal, 2010, 77, (1), 15-26 View citations (3)

2009

11. A New Bispectral Test for NonLinear Serial Dependence
    Econometric Reviews, 2009, 28, (1-3), 279-293 View citations (2)
12. Assessing the credibility of instrumental variables inference with imperfect instruments via sensitivity analysis
    Journal of Applied Econometrics, 2009, 24, (2), 325-337 View citations (36)
13. Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series
    Econometric Reviews, 2009, 28, (1-3), 4-20 View citations (24)
14. To difference or not to difference: a Monte Carlo investigation of inference in vector autoregression models
    International Journal of Data Analysis Techniques and Strategies, 2009, 1, (3), 242-274 View citations (36)

2008

15. Growth may be good for the poor, but decline is disastrous: On the non-robustness of the Dollar-Kraay result
    International Review of Economics & Finance, 2008, 17, (2), 333-338 View citations (4)

2006

16. Comments on "A critical investigation on detrending procedures for nonlinear processes"
    Journal of Macroeconomics, 2006, 28, (1), 192-194
17. Evaluating the Effectiveness of State-Switching Time Series Models for U.S. Real Output
    Journal of Business & Economic Statistics, 2006, 24, 266-277 View citations (16)

2003

18. Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?
    International Journal of Forecasting, 2003, 19, (2), 229-239 View citations (40)

1999

19. ARE TECHNOLOGY SHOCKS NONLINEAR?
    Macroeconomic Dynamics, 1999, 3, (4), 506-533 View citations (19)
20. DETECTION AND MODELING OF REGRESSION PARAMETER VARIATION ACROSS FREQUENCIES
    Macroeconomic Dynamics, 1999, 3, (1), 69-83 View citations (14)

1998

21. A new technique for postsample model selection and validation
    Journal of Economic Dynamics and Control, 1998, 22, (5), 647-665 View citations (39)

1990

22. A Nonparametric Distribution-Free Test for Serial Independence in Stock Returns: A Comment
    Journal of Financial and Quantitative Analysis, 1990, 25, (3), 417-418 View citations (2)
23. Shrinkage Estimation with General Loss Functions: An Application of Stochastic Dominance Theory
    International Economic Review, 1990, 31, (2), 301-13 View citations (2)

1989

24. Linear versus Nonlinear Macroeconomies: A Statistical Test
    International Economic Review, 1989, 30, (3), 685-704 View citations (29)

1988

25. On the relative worth of recent macroeconomic forecasts
    International Journal of Forecasting, 1988, 4, (3), 363-376 View citations (19)

1986

26. A DIAGNOSTIC TEST FOR NONLINEAR SERIAL DEPENDENCE IN TIME SERIES FITTING ERRORS
    Journal of Time Series Analysis, 1986, 7, (3), 165-178 View citations (27)
27. A Nonparametric, Distribution-Free Test for Serial Independence in Stock Returns
    Journal of Financial and Quantitative Analysis, 1986, 21, (2), 221-227 View citations (3)
28. Measuring Measurement Error in Economic Time Series
    Journal of Business & Economic Statistics, 1986, 4, (1), 95-103 View citations (7)

1985

29. Further Results on Inventories and Price Stickiness
    American Economic Review, 1985, 75, (5), 964-75 View citations (4)
30. On the Optimal Use of Suboptimal Forecasts of Explanatory Variables
    Journal of Business & Economic Statistics, 1985, 3, (2), 129-31 View citations (1)

1984

31. A Simple Test for Regression Parameter Instability
    Economic Inquiry, 1984, 22, (2), 253-68 View citations (14)

1983

32. Applications of Time Series Analysis to Texas Financial Forecasting
    Interfaces, 1983, 13, (4), 46-55

1981

33. Inflation and the Distribution of Price Changes across Markets: A Causal Analysis
    Economic Inquiry, 1981, 19, (4), 650-60 View citations (10)

1980

34. Advertising and Aggregate Consumption: An Analysis of Causality
    Econometrica, 1980, 48, (5), 1149-67 View citations (282)
35. Wages and profits: A comment
    Journal of Macroeconomics, 1980, 2, (4), 365-372

1979

36. Postponed linear approximations and adaptive control with non-quadratic losses
    Journal of Economic Dynamics and Control, 1979, 1, (4), 347-359
37. Time series analysis of residuals from the St. Louis model
    Journal of Macroeconomics, 1979, 1, (4), 373-394 View citations (3)