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Sargan's Instrumental Variables Estimation and the Generalized Method of Moments

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  • Arellano, Manuel

Abstract

This article surveys J. D. Sargan's work on instrumental variables (IV) estimation and its connections with the generalized method of moments (GMM). First the modeling context in which Sargan motivated IV estimation is presented. Then the theory of IV estimation as developed by Sargan is discussed. His approach to efficiency, his minimax estimator, tests of overidentification and underidentification, and his later work on the finite-sample properties of IV estimators are reviewed. Next, his approach to modeling IV equations with serial correlation is discussed and compared with the GMM approach. Finally, Sargan's results for nonlinear-in-parameters IV models are described.

Suggested Citation

  • Arellano, Manuel, 2002. "Sargan's Instrumental Variables Estimation and the Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 450-459, October.
    • Handle: RePEc:bes:jnlbes:v:20:y:2002:i:4:p:450-59
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    Cited by:

    1. Arellano, Manuel, 2016. "Modelling optimal instrumental variables for dynamic panel data models," Research in Economics, Elsevier, vol. 70(2), pages 238-261.
    2. Polina Popova, 2024. "COVID-19, Corporate Non-performing Loans, and Corporate Lending Dynamics: Evidence from Russian Regions," HSE Working papers WP BRP 93/FE/2024, National Research University Higher School of Economics.
    3. Hansen, Lars Peter, 2013. "Uncertainty Outside and Inside Economic Models," Nobel Prize in Economics documents 2013-7, Nobel Prize Committee.
    4. Alexandros P. Bechlioulis & Sophocles N. Brissimis, 2021. "Are household consumption decisions affected by past due unsecured debt? Theory and evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3040-3053, April.
    5. Joshua D. Angrist, 2004. "Treatment effect heterogeneity in theory and practice," Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
    6. Bechlioulis, Alexandros P. & Brissimis, Sophocles N., 2021. "Identifying key aspects of household behavior in a representative agent framework," Economic Modelling, Elsevier, vol. 97(C), pages 105-117.
    7. Peter Ebbes, 2007. "A non-technical guide to instrumental variables and regressor-error dependencies (in Russian)," Quantile, Quantile, issue 2, pages 3-20, March.
    8. Jan F. KIVIET & Qu FENG, 2014. "Efficiency Gains by Modifying GMM Estimation in Linear Models under Heteroskedasticity," Economic Growth Centre Working Paper Series 1413, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    9. Vera-Gilces, Paul & Camino-Mogro, Segundo & Ordeñana-Rodríguez, Xavier & Cornejo-Marcos, Gino, 2020. "A look inside banking profitability: Evidence from a dollarized emerging country," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 147-166.
    10. Paolo Saona & Pablo San Martín, 2018. "Determinants of firm value in Latin America: an analysis of firm attributes and institutional factors," Review of Managerial Science, Springer, vol. 12(1), pages 65-112, January.
    11. Bechlioulis, Alexandros P. & Brissimis, Sophocles N., 2019. "Consumer debt non-payment and the borrowing constraint: Implications for consumer behavior," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 161-172.
    12. Peñaranda, Francisco & Sentana, Enrique, 2012. "Spanning tests in return and stochastic discount factor mean–variance frontiers: A unifying approach," Journal of Econometrics, Elsevier, vol. 170(2), pages 303-324.
    13. Saona, Paolo, 2016. "Intra- and extra-bank determinants of Latin American Banks' profitability," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 197-214.
    14. Brissimis, Sophocles N. & Bechlioulis, Alexandros P., 2017. "The link between consumption and leisure under Cobb-Douglas preferences:Some new evidence," MPRA Paper 80877, University Library of Munich, Germany.
    15. Marrero, Gustavo A., 2010. "Greenhouse gases emissions, growth and the energy mix in Europe," Energy Economics, Elsevier, vol. 32(6), pages 1356-1363, November.
    16. 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.
    17. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
    18. Juan Mora-Sanguinetti, 2012. "Is judicial inefficacy increasing the weight of the house property market in Spain? Evidence at the local level," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(3), pages 339-365, September.
    19. Amir Khordehfrosh Dilmaghani & Amir Mansour Tehranchian, 2015. "The Impact of Monetary Policies on the Exchange Rate: A GMM Approach," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 19(2), pages 177-191, Spring.
    20. Andreas Kyriacou & Oriol Roca sagalés, 2009. "Fiscal descentralization and the quality of government: evidence from panel data," Hacienda Pública Española / Review of Public Economics, IEF, vol. 189(2), pages 131-155, June.
    21. Paolo Saona & Laura Muro & Pablo San Martín & Carlos Cid, 2020. "Ibero-American corporate ownership and boards of directors: implementation and impact on firm value in Chile and Spain," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 33(1), pages 2138-2170, January.

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