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Identification of the Covariance Structure of Earnings using the GMM Estimator

  • Aedin Doris

    ()

    (Economics,Finance and Accounting National University of Ireland, Maynooth)

  • Donal O'Neill

    ()

    (Economics,Finance and Accounting National University of Ireland,)

  • Olive Sweetman

    ()

    (Economics,Finance and Accounting National University of Ireland,)

In this paper we study the performance of the GMM estimator in the context of the covariance structure of earnings. Using analytical and Monte Carlo techniques we examine the sensitivity of parameter identification to key features such as panel length, sample size, the degree of persistence of earnings shocks and the evolution of inequality over time. We show that the interaction of transitory persistence with the time pattern of inequality determines identification in these models and offer some practical recommendations that follow from our findings.

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Paper provided by Department of Economics, Finance and Accounting, National University of Ireland - Maynooth in its series Economics, Finance and Accounting Department Working Paper Series with number n208-10.pdf.

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Length: 30 pages
Date of creation: 2010
Date of revision:
Handle: RePEc:may:mayecw:n208-10.pdf
Contact details of provider: Postal: Maynooth, Co. Kildare
Phone: 353-1-7083728
Fax: 353-1-7083934
Web page: http://www.maynoothuniversity.ie/economics-finance-and-accounting

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  1. Aedın Doris & Donal O’Neill & Olive Sweetman, 2011. "GMM estimation of the covariance structure of longitudinal data on earnings," Stata Journal, StataCorp LP, vol. 11(3), pages 439-459, September.
  2. Adriaan S. Kalwij & Rob Alessie, 2007. "Permanent and transitory wages of British men, 1975-2001: year, age and cohort effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1063-1093.
  3. Steven J. Haider, 2000. "Earnings Instability and Earnings Inequality of Males in the United States: 1967-1991," Working Papers 00-15, RAND Corporation Publications Department.
  4. Joseph G. Altonji & Lewis M. Segal, 1994. "Small Sample Bias in GMM Estimation of Covariance Structures," NBER Technical Working Papers 0156, National Bureau of Economic Research, Inc.
  5. Clark, Todd E, 1996. "Small-Sample Properties of Estimators of Nonlinear Models of Covariance Structure," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 367-73, July.
  6. Michal Myck & Richard Ochmann & Salmai Qari, 2009. "Dynamics of Earnings and Hourly Wages in Germany," Discussion Papers of DIW Berlin 929, DIW Berlin, German Institute for Economic Research.
  7. Cappellari, Lorenzo, 2000. "The Covariance Structure of Italian Male Wages," Manchester School, University of Manchester, vol. 68(6), pages 659-84, December.
  8. Sologon, Denisa Maria & O'Donoghue, Cathal, 2010. "Earnings Dynamics and Inequality among Men in Luxembourg, 1988-2004: Evidence from Administrative Data," IZA Discussion Papers 5014, Institute for the Study of Labor (IZA).
  9. Fatih Guvenen, 2007. "An Empirical Investigation of Labor Income Processes," NBER Working Papers 13394, National Bureau of Economic Research, Inc.
  10. Pozzi, Lorenzo, 2003. "The coefficient of relative risk aversion: a Monte Carlo study investigating small sample estimator problems," Economic Modelling, Elsevier, vol. 20(5), pages 923-940, September.
  11. James H. Stock & Jonathan Wright, 2000. "GMM with Weak Identification," Econometrica, Econometric Society, vol. 68(5), pages 1055-1096, September.
  12. Doris, Aedin & O'Neill, Donal & Sweetman, Olive, 2008. "Does Growth Affect the Nature of Inequality? Ireland 1994–2001," IZA Discussion Papers 3701, Institute for the Study of Labor (IZA).
  13. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  14. SOLOGON Denisa & O’DONOGHUE Cathal, 2010. "Earnings dynamics and inequality in the EU, 1994-2001," LISER Working Paper Series 2010-34, LISER.
  15. Daly, Mary C. & Valletta, Robert G., 2008. "Cross-national trends in earnings inequality and instability," Economics Letters, Elsevier, vol. 99(2), pages 215-219, May.
  16. Hansen, Lars Peter & Heaton, John & Yaron, Amir, 1996. "Finite-Sample Properties of Some Alternative GMM Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 262-80, July.
  17. Denisa Maria Sologon & Cathal O'Donoghue, 2009. "Earnings Dynamics and Inequality in EU, 1994-2001," SOEPpapers on Multidisciplinary Panel Data Research 184, DIW Berlin, The German Socio-Economic Panel (SOEP).
  18. María Cervini-Plá & Xavier Ramos, 2012. "Long-Term Earnings Inequality, Earnings Instability and Temporary Employment in Spain: 1993–2000," British Journal of Industrial Relations, London School of Economics, vol. 50(4), pages 714-736, December.
  19. Cappellari, Lorenzo, 2002. "Earnings dynamics and uncertainty in Italy: how do they differ between the private and public sectors?," Labour Economics, Elsevier, vol. 9(4), pages 477-496, September.
  20. Aedin Doris & Donal O'Neill & Olive Sweetman, 2010. "Aggregate Earnings Inequality in Europe: Permanent Differences or Transitory Fluctuations?," Economics, Finance and Accounting Department Working Paper Series n211-10.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
  21. Baker, Michael & Solon, Gary, 1999. "Earnings Dynamics and Inequality Among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Analytical Studies Branch Research Paper Series 1999130e, Statistics Canada, Analytical Studies Branch.
  22. Kocherlakota, Narayana R., 1990. "On tests of representative consumer asset pricing models," Journal of Monetary Economics, Elsevier, vol. 26(2), pages 285-304, October.
  23. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
  24. Robert A. Moffitt & Peter Gottschalk, 2002. "Trends in the Transitory Variance of Earnings in the United States," Economic Journal, Royal Economic Society, vol. 112(478), pages C68-C73, March.
  25. Giovanni L. Violante, 2002. "Technological Acceleration, Skill Transferability, And The Rise In Residual Inequality," The Quarterly Journal of Economics, MIT Press, vol. 117(1), pages 297-338, February.
  26. Lorenzo Cappellari, 2004. "The Dynamics and Inequality of Italian Men’s Earnings: Long-term Changes or Transitory Fluctuations?," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
  27. Magnus Gustavsson, 2007. "The 1990s rise in Swedish earnings inequality -- persistent or transitory?," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 25-30.
  28. Baker, Michael, 1997. "Growth-Rate Heterogeneity and the Covariance Structure of Life-Cycle Earnings," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 338-75, April.
  29. Xavier Ramos, 2003. "The Covariance Structure of Earnings in Great Britain, 1991-1999," Economica, London School of Economics and Political Science, vol. 70(278), pages 353-374, 05.
  30. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
  31. Marco Lilla & Stefano Staffolani, 2009. "The evolution of wage inequality in Italy," Applied Economics, Taylor & Francis Journals, vol. 41(15), pages 1873-1892.
  32. Stéphane Bonhomme & Jean-Marc Robin, 2009. "Assessing the Equalizing Force of Mobility Using Short Panels: France, 1990-2000," Review of Economic Studies, Oxford University Press, vol. 76(1), pages 63-92.
  33. Magnus Gustavsson, 2008. "A New Picture Of Swedish Earnings Inequality: Persistent And Transitory Components, 1960-1990," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(3), pages 324-349, 09.
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