The PANEL Procedure

References

  • Andrews, D.W.K.(1991), “Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation,” Econometrica, 59, 817–58.

  • Arellano, M. (1987), “Computing Robust Standard Errors for Within-Groups Estimators,” Oxford Bulletin of Economics and Statistics, 49, 431–434.

  • Arellano, M. and Bond, S. (1991), “Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,” The Review of Economic Studies, 58(2), 277–297.

  • Arellano, M. and Bover, O. (1995), “Another Look at the Instrumental Variable Estimation of Error-Components Models ,” Journal of Econometrics, 68(1), 29–51.

  • Baltagi, B. H. (1995), Econometric Analysis of Panel Data, New York: John Wiley & Sons.

  • Baltagi, B. H. and Chang, Y. (1994), “Incomplete Panels: A Comparative Study of Alternative Estimators for the Unbalanced One-Way Error Component Regression Model,” Journal of Econometrics, 62(2), 67–89.

  • Baltagi, B. H. and D. Levin (1992), “Cigarette Taxation: Raising Revenues and Reducing Consumption,” Structural Change and Economic Dynamics, 3, 321–335.

  • Baltagi, B. H., Song, Seuck H., and Jung, Byoung C. (2002), “A Comparative Study of Alternative Estimators for the Unbalanced Two-Way Error Component Regression Model,” Econometrics Journal, 5, 480–493.

  • Breitung, J. (2000), “The Local Power of Some Unit Root Tests for Panel Data,” Advances in Econometrics, Volume 15: Nonstationary Panels, Panel Cointegration, and Dynamic Panels, ed. B. H. Baltagi. Amsterdam: JAI Press, 161–178.

  • Breitung, J. and S. Das (2005), “Panel Unit Root Tests under Cross-Sectional Dependence,” Statistica Neerlandica, 59, 414–433.

  • Breitung, J. and W. Meyer (1994), “Testing for Unit Roots in Panel Data: Are Wages on Different Bargaining Levels Cointegrated?” Applied Economics, 26, 353–361.

  • Breusch, T. S. and Pagan, A. R. (1980), “The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics,” The Review of Economic Studies, 47:1, 239–253.

  • Buse, A. (1973), “Goodness of Fit in Generalized Least Squares Estimation,” American Statistician, 27, 106–108.

  • Campbell, J. Y. and P. Perron (1991), “Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots,” Blanchard, O., Fisher, S. (Eds.), NBER Macroeconomics Annual, Cambridge, MA: MIT Press.

  • Choi, I. (2001), “Unit Root Tests for Panel Data,” Journal of International Money and Finance, 20, 249–272.

  • Choi, I. (2006), “Nonstationary Panels,” Palgrave Handbooks of Econometrics, Vol. 1, New York, Palgrave Macmillan, 511–539.

  • Davidson, R. and MacKinnon, J. G. (1993), Estimation and Inference in Econometrics, New York: Oxford University Press.

  • Da Silva, J. G. C. (1975), “The Analysis of Cross-Sectional Time Series Data,” Ph.D. dissertation, Department of Statistics, North Carolina State University.

  • Davis, Peter (2002), “Estimating Multi-Way Error Components Models with Unbalanced Data Structures,” Journal of Econometrics, 106:1, 67–95.

  • Feige, E. L. (1964), The Demand for Liquid Assets: A Temporal Cross-Section Analysis, Englewood Cliffs: Prentice-Hall.

  • Feige, E. L. and Swamy, P. A. V. (1974), “A Random Coefficient Model of the Demand for Liquid Assets,” Journal of Money, Credit, and Banking, 6, 241–252.

  • Fuller, W. A. and Battese, G. E. (1974), “Estimation of Linear Models with Crossed-Error Structure,” Journal of Econometrics, 2, 67–78.

  • Greene, W. H. (1990), Econometric Analysis, First Edition, New York: Macmillan Publishing Company.

  • Greene, W. H. (2000), Econometric Analysis, Fourth Edition, New York: Macmillan Publishing Company.

  • Hadri, K. (2000), “Testing for Stationarity in Heterogeneous Panel Data,” Econometrics Journal, 3, 148–161.

  • Harris, R. D. F., and Tzavalis, E. (1999), “Inference for Unit Roots in Dynamic Panels Where the Time Dimension Is Fixed,” Journal of Econometrics, 91, 201–226.

  • Hall, A. R. (1994), “Testing for a Unit Root with Pretest Data Based Model Selection,” Journal of Business and Economic Statistics, 12, 461–470.

  • Hamilton, J. D. (1994), “Time Series Analysis,” Princeton University Press, Princeton.

  • Hausman, J. A. (1978), “Specification Tests in Econometrics,” Econometrica, 46, 1251–1271.

  • Hausman, J. A. and Taylor, W. E. (1982), “A Generalized Specification Test,” Economics Letters, 8, 239–245.

  • Hsiao, C. (1986), Analysis of Panel Data, Cambridge: Cambridge University Press.

  • Im, K. S., Pesaran, M. H., and Shin Y. (2003), “Testing for Unit Root in Heterogenous Panels,” Journal of Econometrics, 115, 53–74.

  • Judge, G. G., Griffiths, W. E., Hill, R. C., Lutkepohl, H., and Lee, T. C. (1985), The Theory and Practice of Econometrics, Second Edition, New York: John Wiley & Sons.

  • Kmenta, J. (1971), Elements of Econometrics, AnnArbor: The University of Michigan Press.

  • Lamotte, L. R. (1994), “A Note on the Role of Independence in t Statistics Constructed from Linear Statistics in Regression Models,” The American Statistician, 48:3, 238–240.

  • Levin, A., Lin, C.-F., and Chu, C. S. (2002), “Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties,” Journal of Econometrics, 108, 1–24.

  • Maddala, G. S. (1977), Econometrics, New York: McGraw-Hill.

  • Maddala, G. S. and Wu, S. (1999), “A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test,” Oxford Bulletin of Economics and Statistics, 61, 631–652.

  • Nebeya, S. (1994), “Asymptotic Moments of Some Unit Root Test Statistics in the Null Case,” Econometric Theory, 15, 139–149.

  • Nerlove, M. (1971), “Further Evidence on the Estimation of Dynamic Relations from a Time Series of Cross Sections,” Econometrica, 39, 359–382.

  • Newey, W. K. and West, K. D. (1994), “Automatic Lag Selection for Covariance Matrix Estimation,” Review of Economic Studies, 61, 631–653.

  • Ng, S. and Perron, P. (2001), “Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power,” Econometrica, 69, 1519–1554.

  • Parks, R. W. (1967), “Efficient Estimation of a System of Regression Equations When Disturbances Are Both Serially and Contemporaneously Correlated,” Journal of the American Statistical Association, 62, 500–509.

  • Roy, S.N. (1957), “Some Aspects of Multivariate Anasis,” John Wiley & Sons, New York.

  • SAS Institute Inc. (1979), SAS Technical Report S-106, PANEL: A SAS Procedure for the Analysis of Time-Series Cross-Section Data, Cary, NC: SAS Institute Inc.

  • Searle S. R. (1971), “Topics in Variance Component Estimation,” Biometrics, 26, 1–76.

  • Seely, J. (1969), “Estimation in Finite-Dimensional Vector Spaces with Application to the Mixed Linear Model,” Ph.D. dissertation, Department of Statistics, Iowa State University.

  • Seely, J. (1970a), “Linear Spaces and Unbiased Estimation,” Annals of Mathematical Statistics, 41, 1725–1734.

  • Seely, J. (1970b), “Linear Spaces and Unbiased Estimation—Application to the Mixed Linear Model,” Annals of Mathematical Statistics, 41, 1735–1748.

  • Seely, J. and Soong, S. (1971), “A Note on MINQUE’s and Quadratic Estimability,” Corvallis, Oregon: Oregon State University.

  • Seely, J. and Zyskind, G. (1971), “Linear Spaces and Minimum Variance Unbiased Estimation,” Annals of Mathematical Statistics, 42, 691–703.

  • Stock, J. H. and Watson, M. W. (2002), “Introduction to Econometrics,” The Addison-Wesley Series in Economics, 3rd Edition, Addison-Wesley.

  • Theil, H. (1961), Economic Forecasts and Policy, Second Edition, Amsterdam: North-Holland, 435–437.

  • Wallace, T., and Hussain, A. (1969), “The Use of Error Components Model in Combining Cross Section with Time Series Data,” Econometrica, 37, 55–72.

  • Wansbeek, T., and Kapteyn, Arie (1989), “Estimation of the Error-Components Model with Incomplete Panels,” Journal of Econometrics, 41, 341–361.

  • White, H. (1980), “A Heteroscedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroscedasticity,” Econometrica, 48, 817–838.

  • Wu, D. M. (1973), “Alternative Tests of Independence between Stochastic Regressors and Disturbances,” Econometrica, 41(4), 733–750.

  • Zellner, A. (1962), “An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias,” Journal of the American Statistical Association, 57, 348–368.