Richard A. Ashley

Economics and Econometrics · 2000–2009

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 7 citations into it; #10,377 of 23,481 by trust here, #17,346 by citations
• Statistics and Probability — 6 citations into it; #7,249 of 12,932 by trust here, #9,714 by citations

Whom Richard A. Ashley trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael W. McCracken
2. G. Chow
3. Jushan Bai
4. Diego A. Comin
5. Jerry A. Hausman
6. James H. Stock
7. Alexander Kukush
8. Kurt Annen
9. Timothy Cogley
10. M. Gertler

Who trusts Richard A. Ashley overall

1. Aviv Nevo
2. A. Rosen
3. G. Zhang
4. K. Lim
5. Theodore Panagiotidis
6. R. Brooks
7. E. Rutledge

Papers from Richard A. Ashley's perspective

Ordered by how strongly the researchers Richard A. Ashley trusts endorse each paper. Same corpus, a different order for every researcher.

1. Evolving Post-World War II U.S. Inflation Dynamics (NBER macroeconomics annual)
2. Robust out-of-sample inference
3. Computation and Analysis of Multiple Structural-Change Models
4. A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
5. Specification tests in econometrics
6. Série Scientifique Scientific Series Identification, Weak Instruments and Statistical Inference in Econometrics Identification, Weak Instruments and Statistical Inference in Econometrics
7. Medium-Term Business Cycles
8. Bias From Classical and Other Forms of Measurement Error
9. Tests of equality between sets of coefficients in two linear regressions (econometrics voi 28
10. Band Spectral Regression with Trending Data

Their papers

• Assessing the credibility of instrumental variables inference with imperfect instruments via sensitivity analysis (2009) — 53 citations
• Statistically significant forecasting improvements: how much out-of-sample data is likely necessary? ☆ (2003) — 71 citations
• Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series (2008) — 57 citations
• A Nonlinear Time Series Workshop (2000) — 60 citations