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Panel Data Analysis - Advantages and Challenges

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  • Cheng Hsiao

Abstract

We explain the proliferation of panel data studies in terms of (i) data availability, (ii) the more heightened capacity for modeling the complexity of human behavior than a single cross-section or time series data can possibly allow, and (iii) challenging methodology. Advantages and issues of panel data modeling are also discussed.

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File URL: http://www.usc.edu/dept/LAS/economics/IEPR/Working%20Papers/IEPR_06.49_%5BHsiao%5D.pdf
File Function: First version, 2006
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Bibliographic Info

Paper provided by Institute of Economic Policy Research (IEPR) in its series IEPR Working Papers with number 06.49.

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Length: 31 pages
Date of creation: May 2006
Date of revision:
Handle: RePEc:scp:wpaper:06-49

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Web page: http://www.usc.edu/dept/LAS/economics/IEPR/
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Keywords: Panel data; Longitudinal data; Unobserved heterogeneity; Random effects; Fixed effects;

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References

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  1. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
  2. Peter C.B. Phillips & Steven N. Durlauf, 1985. "Multiple Time Series Regression with Integrated Processes," Cowles Foundation Discussion Papers 768, Cowles Foundation for Research in Economics, Yale University.
  3. 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).
  4. Hsiao,Cheng, 2003. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9780521522717, April.
  5. Chamberlain, Gary, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 225-38, January.
  6. Yoosoon Chang, 2000. "Nonlinear IV Unit Root Tests in Panels with Cross-Sectional Dependency," CIRJE F-Series CIRJE-F-85, CIRJE, Faculty of Economics, University of Tokyo.
  7. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
  8. Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
  9. Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-31, May.
  10. Peter C.B. Phillips, 1985. "Understanding Spurious Regressions in Econometrics," Cowles Foundation Discussion Papers 757, Cowles Foundation for Research in Economics, Yale University.
  11. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
  12. MaCurdy, Thomas E, 1981. "An Empirical Model of Labor Supply in a Life-Cycle Setting," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1059-85, December.
  13. Becketti, Sean, et al, 1988. "The Panel Study of Income Dynamics after Fourteen Years: An Evaluatio n," Journal of Labor Economics, University of Chicago Press, vol. 6(4), pages 472-92, October.
  14. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
  15. Nerlove,Marc, 2002. "Essays in Panel Data Econometrics," Cambridge Books, Cambridge University Press, number 9780521815345, April.
  16. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November.
  17. 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.
  18. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
  19. Lewbel, Arthur, 1994. "Aggregation and Simple Dynamics," American Economic Review, American Economic Association, vol. 84(4), pages 905-18, September.
  20. Hsiao, C. & Appelbe, T.W. & Dineen, C.R., 1992. "A General Framework for Panel Data Models with an Application to Canadian Customer-Dialed Long Distance Telephone Service," Papers 90-92-15, California Irvine - School of Social Sciences.
  21. Davis, Peter, 2002. "Estimating multi-way error components models with unbalanced data structures," Journal of Econometrics, Elsevier, vol. 106(1), pages 67-95, January.
  22. Hsiao, C. & Mountain, D.C. & Ho, C.F., 1994. "A Bayesian Integration of End-Use Metering and Conditional Demand Analysis," Papers 9411, Southern California - Department of Economics.
  23. 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.
  24. Sean Becketti & William Gould & Lee Lillard & Finis Welch, 1985. "The Panel Study of Income Dynamics After Fourteen Years: An Evaluation," UCLA Economics Working Papers 361, UCLA Department of Economics.
  25. 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.
  26. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
  27. 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.
  28. 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.
  29. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
  30. Bhargava, Alok & Sargan, J D, 1983. "Estimating Dynamic Random Effects Models from Panel Data Covering Short Time Periods," Econometrica, Econometric Society, vol. 51(6), pages 1635-59, November.
  31. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
  32. Ben-Porath, Yoram, 1973. "Labor-Force Participation Rates and the Supply of Labor," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 697-704, May-June.
  33. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
  34. Ekaterini Kyriazidou, 1997. "Estimation of a Panel Data Sample Selection Model," Econometrica, Econometric Society, vol. 65(6), pages 1335-1364, November.
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Citations

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Cited by:
  1. Vassiliki Avgerinou & Stefanos Giakoumatos, 2009. "Price, Income & Unemployment Effects on Greek Professional Football," Working Papers 0907, International Association of Sports Economists & North American Association of Sports Economists.
  2. Zhu, Hui-Ming & You, Wan-Hai & Zeng, Zhao-fa, 2012. "Urbanization and CO2 emissions: A semi-parametric panel data analysis," Economics Letters, Elsevier, vol. 117(3), pages 848-850.
  3. Gopal V. Krishnan & Wei Yu, 2011. "Further evidence on knowledge spillover and the joint determination of audit and non-audit fees," Managerial Auditing Journal, Emerald Group Publishing, vol. 26(3), pages 230-247, March.
  4. Elissaios Papyrakis, 2013. "Environmental Performance in Socially Fragmented Countries," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 55(1), pages 119-140, May.
  5. Lajos Horváth & Gregory Rice, 2014. "Extensions of some classical methods in change point analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 23(2), pages 219-255, June.
  6. Kroes, James R. & Manikas, Andrew S., 2014. "Cash flow management and manufacturing firm financial performance: A longitudinal perspective," International Journal of Production Economics, Elsevier, vol. 148(C), pages 37-50.
  7. Marco Grazzi, 2009. "Trade and Profitability: Is there an export premium? Evidence from Italian manufacturing firms," LEM Papers Series 2009/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  8. Marta Gómez-Puig & Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera, 2014. "An update on emu sovereign yield spread drivers in times of crisis: a panel data analysis," Working Papers 14-07, Asociación Española de Economía y Finanzas Internacionales.
  9. Marco Grazzi, 2012. "Export and Firm Performance: Evidence on Productivity and Profitability of Italian Companies," Journal of Industry, Competition and Trade, Springer, vol. 12(4), pages 413-444, December.
  10. Hunter, John & Wu, Feng, 2014. "Multifactor consumption based asset pricing models using the US stock market as a reference: Evidence from a panel of developed economies," Economic Modelling, Elsevier, vol. 36(C), pages 557-565.

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