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Small sample properties of estimators of non-linear models of covariance structure

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Author Info
Todd E. Clark

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Abstract

This study examines the small sample properties of GMM and ML estimators of non-linear models of covariance structure. The study focuses on the properties of parameter estimates and the Hansen (1982) and Newey (1985) model specification test. It use Monte Carlo simulations to consider the properties of estimates for some simple factor models, the Hall and Mishkin (1982) model of consumption and income changes, and a simple Bernanke (1986) decomposition model. This analysis establishes and seeks to explain a number of results. Most importantly, optimally weighted GMM estimation yields some biased parameter estimates, and GMM estimation yields a model specification test with size substantially greater than the asymptotic size.

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Paper provided by Federal Reserve Bank of Kansas City in its series Research Working Paper with number 95-01.

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Date of creation: 1995
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Handle: RePEc:fip:fedkrw:95-01

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Keywords: Econometric models ; Sampling (Statistics);

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  1. Gustavsson, Magnus, 2004. "Trends in the Transitory Variance of Earnings: Evidence from Sweden 1960-1990 and a Comparison with the United States," Working Paper Series 2004:11, Uppsala University, Department of Economics. [Downloadable!]
  2. Magnus Gustavsson, 2007. "The 1990s rise in Swedish earnings inequality -- persistent or transitory?," Applied Economics, Taylor and Francis Journals, vol. 39(1), pages 25-30, January. [Downloadable!] (restricted)
  3. Ostrovsky, Yuri, 2008. "Earnings Inequality and Earnings Instability of Immigrants in Canada," Analytical Studies Branch Research Paper Series 2008309e, Statistics Canada, Analytical Studies Branch. [Downloadable!]
  4. Michael Baker & Gary Solon, 1999. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," NBER Working Papers 7370, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  5. Bhashkar Mazumder, 2002. "The Mis-Measurement of Permanent Earnings: New Evidence from Social Security Earnings Data," Working Papers 02-12, Center for Economic Studies, U.S. Census Bureau. [Downloadable!]
  6. Joachim Inkmann, 2000. "Finite Sample Properties of One-step, Two-step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation," CoFE Discussion Paper 00-03, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
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  7. Jason Allen & Allan W. Gregory & Katsumi Shimotsu, 2008. "Empirical Likelihood Block Bootstrapping," Working Papers 08-18, Bank of Canada. [Downloadable!]
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  8. Michal Myck & Richard Ochmann & Salmai Qari, 2008. "Dynamics of Earnings and Hourly Wages in Germany," SOEPpapers 139, DIW Berlin, The German Socio-Economic Panel (SOEP). [Downloadable!]
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  9. Ostrovsky, Yuri, 2008. "Inégalité et instabilité des gains chez les immigrants au Canada," Direction des études analytiques : documents de recherche 2008309f, Statistics Canada, Direction des études analytiques. [Downloadable!]
  10. Yuriy Gorodnichenko, 2005. "Reduced-Rank Identification of Structural Shocks in VARs," Macroeconomics 0512011, EconWPA. [Downloadable!]
  11. Yuriy Gorodnichenko, 2007. "Using Firm Optimization to Evaluate and Estimate Returns to Scale," NBER Working Papers 13666, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  12. Gustavsson, Magnus, 2002. "Earnings Dynamics and Inequality during Macroeconomic Turbulence: Sweden 1991-1999," Working Paper Series 2002:20, Uppsala University, Department of Economics.
  13. Bhashkar Mazumder, 2001. "The mis-measurement of permanent earnings: new evidence from social security earnings data," Working Paper Series WP-01-24, Federal Reserve Bank of Chicago. [Downloadable!]
  14. Albert Maydeu-Olivares, 1999. "Thurstonian modeling of ranking data via mean and covariance structure analysis," Psychometrika, Springer, vol. 64(3), pages 325-340, September. [Downloadable!] (restricted)
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