Longitudinal Data Analysis
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Bibliographic InfoPaper provided by Nanyang Technolgical University, School of Humanities and Social Sciences, Economic Growth centre in its series Economic Growth centre Working Paper Series with number 0510.
Length: 26 pages
Date of creation: Oct 2005
Date of revision:
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- M Arellano & O Bover, 1990.
"Another Look at the Instrumental Variable Estimation of Error-Components Models,"
CEP Discussion Papers
dp0007, Centre for Economic Performance, LSE.
- Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
- Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
- Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2002.
"Aggregate vs Disaggregate Data Analysis - A Paradox in the Estimation of Money Demand Function of Japan Under the Low Interest Rate Policy,"
10th International Conference on Panel Data, Berlin, July 5-6, 2002
A4-1, International Conferences on Panel Data.
- Yan Shen & Cheng Hsiao & Hiroshi Fujiki, 2005. "Aggregate vs. disaggregate data analysis-a paradox in the estimation of a money demand function of Japan under the low interest rate policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 579-601.
- Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2004. "Aggregate vs Disaggregate Data Analysis — A Paradox in the Estimation of a Money Demand Function of Japan Under the Low Interest Rate Policy," IEPR Working Papers 04.1, Institute of Economic Policy Research (IEPR).
- Manski, Charles F, 1987. "Semiparametric Analysis of Random Effects Linear Models from Binary Panel Data," Econometrica, Econometric Society, vol. 55(2), pages 357-62, March.
- Carro, Jesus M., 2007. "Estimating dynamic panel data discrete choice models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 503-528, October.
- Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002.
"Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods,"
Journal of Econometrics,
Elsevier, vol. 109(1), pages 107-150, July.
- Hsaio, Cheng & Pesaran, M. Hashem & Tahmiscioglu, A. Kamil, 1998. "Maximum Likelihood Estimation of Fixed Effects Dynamic Panel Data Models Covering Short Time Periods," Cambridge Working Papers in Economics 9826, Faculty of Economics, University of Cambridge.
- Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002.
"Unit root tests in panel data: asymptotic and finite-sample properties,"
Journal of Econometrics,
Elsevier, vol. 108(1), pages 1-24, May.
- Tom Doan, . "LEVINLIN: RATS procedure to perform Levin-Lin-Chu test for unit roots in panel data," Statistical Software Components RTS00242, Boston College Department of Economics.
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