The true limit distributions of the Anderson–Hsiao IV estimators in panel autoregression
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DOI: 10.1016/j.econlet.2014.11.030
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- Peter C.B. Phillips & Chirok Han, 2014. "True Limit Distributions of the Anderson-Hsiao IV Estimators in Panel Autoregression," Cowles Foundation Discussion Papers 1963, Cowles Foundation for Research in Economics, Yale University.
References listed on IDEAS
- Hyungsik Roger Moon & Peter C. B. Phillips, 2004.
"GMM Estimation of Autoregressive Roots Near Unity with Panel Data,"
Econometrica, Econometric Society, vol. 72(2), pages 467-522, March.
- Hyungsik Roger Moon & Peter C.B. Phillips, 2000. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Cowles Foundation Discussion Papers 1274, Cowles Foundation for Research in Economics, Yale University.
- Hyungsik Roger Moon & Peter C.B. Phillips, 2003. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Cowles Foundation Discussion Papers 1390, Cowles Foundation for Research in Economics, Yale University.
- Hyungsik Roger Moon, 2000. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Econometric Society World Congress 2000 Contributed Papers 0913, Econometric Society.
- Han, Chirok & Phillips, Peter C. B., 2010.
"Gmm Estimation For Dynamic Panels With Fixed Effects And Strong Instruments At Unity,"
Econometric Theory, Cambridge University Press, vol. 26(1), pages 119-151, February.
- Chirok Han & Peter C.B. Phillips, 2007. "GMM Estimation for Dynamic Panels with Fixed Effects and Strong Instruments at Unity," Cowles Foundation Discussion Papers 1599, Cowles Foundation for Research in Economics, Yale University.
- Peter C. B. Phillips & Hyungsik R. Moon, 1999.
"Linear Regression Limit Theory for Nonstationary Panel Data,"
Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
- Peter C.B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Cowles Foundation Discussion Papers 1222, Cowles Foundation for Research in Economics, Yale University.
- Phillips, Peter C.B. & Han, Chirok, 2008.
"Gaussian Inference In Ar(1) Time Series With Or Without A Unit Root,"
Econometric Theory, Cambridge University Press, vol. 24(3), pages 631-650, June.
- Peter C. B. Phillips & Chirok Han, 2006. "Gaussian Inference in AR(1) Time Series with or without a Unit Root," Cowles Foundation Discussion Papers 1546, Cowles Foundation for Research in Economics, Yale University.
- Peter C.B. Phillips, 2014. "Dynamic Panel GMM with Near Unity," Cowles Foundation Discussion Papers 1962, Cowles Foundation for Research in Economics, Yale University.
Citations
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- Yoonseok Lee & Peter C.B. Phillips, 2013. "Model Selection in the Presence of Incidental Parameters," Center for Policy Research Working Papers 159, Center for Policy Research, Maxwell School, Syracuse University.
- Mayer, Alexander, 2022. "On the local power of some tests of strict exogeneity in linear fixed effects models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 49-74.
- Benczúr, Péter & Karagiannis, Stelios & Kvedaras, Virmantas, 2019.
"Finance and economic growth: Financing structure and non-linear impact,"
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- Benczur, Peter & Karagiannis, Stylianos & Kvedaras, Virmantas, 2017. "Finance and economic growth: financing structure and non-linear impact," JRC Working Papers in Economics and Finance 2017-07, Joint Research Centre, European Commission.
- John C. Chao & Peter C. B. Phillips, 2019.
"Uniform Inference in Panel Autoregression,"
Econometrics, MDPI, vol. 7(4), pages 1-28, November.
- John Chao & Peter C.B. Phillips, 2017. "Uniform Inference in Panel Autoregression," Cowles Foundation Discussion Papers 2071, Cowles Foundation for Research in Economics, Yale University.
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More about this item
Keywords
Dynamic panel; IV estimation; Levels and difference instruments;All these keywords.
JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
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