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A guide to the world of instruments (in Russian)

Author

Listed:
  • Alexander Tsyplakov

    (Novosibirsk State University, Russia)

Abstract

The essay discusses reasons of correlatedness of explanatory variables and errors in regression applications, consequences of this correlatedness, and the method of instrumental variables aimed to resolve this problem.

Suggested Citation

  • Alexander Tsyplakov, 2007. "A guide to the world of instruments (in Russian)," Quantile, Quantile, issue 2, pages 21-47, March.
    • Handle: RePEc:qnt:quantl:y:2007:i:2:p:21-47
    as

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    File URL: http://quantile.ru/02/02-AT.pdf
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    References listed on IDEAS

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    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    4. Cragg, John G. & Donald, Stephen G., 1993. "Testing Identifiability and Specification in Instrumental Variable Models," Econometric Theory, Cambridge University Press, vol. 9(2), pages 222-240, April.
    5. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
    6. Caroline M. Hoxby, 2000. "Does Competition among Public Schools Benefit Students and Taxpayers?," American Economic Review, American Economic Association, vol. 90(5), pages 1209-1238, December.
    7. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    8. Evans, William N & Froeb, Luke M & Werden, Gregory J, 1993. "Endogeneity in the Concentration-Price Relationship: Causes, Consequences, and Cures," Journal of Industrial Economics, Wiley Blackwell, vol. 41(4), pages 431-438, December.
    9. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    10. 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 518-529, October.
    11. Ruud, Paul A., 2000. "An Introduction to Classical Econometric Theory," OUP Catalogue, Oxford University Press, number 9780195111644, Decembrie.
    12. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    13. David M. Cutler & Edward L. Glaeser, 1997. "Are Ghettos Good or Bad?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(3), pages 827-872.
    14. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
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    Cited by:

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    2. Ibragimov Marat & Jovlon Karimov & Elena Permyakova, 2013. "Unemployment and output dynamics in CIS countries: Okun's law revisited," EERC Working Paper Series 13/04e, EERC Research Network, Russia and CIS.
    3. Tendetnik, Pavel & Clayton, Grant & Cathcart, Katy, 2018. "Education and nation-state fragility: Evidence from panel data analysis," International Journal of Educational Development, Elsevier, vol. 62(C), pages 17-26.

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