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Instrumental variables estimation with partially missing instruments

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  • Mogstad, M.
  • Wiswall, M.

Abstract

This paper shows that instrumental variables estimators currently in use, require strong but neglected auxiliary assumptions to be consistent in situations with partially missing instruments. We introduce an alternative instrumental variables estimator that does not require auxiliary assumptions.

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Bibliographic Info

Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 114 (2012)
Issue (Month): 2 ()
Pages: 186-189

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Handle: RePEc:eee:ecolet:v:114:y:2012:i:2:p:186-189

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Web page: http://www.elsevier.com/locate/ecolet

Related research

Keywords: Instrumental variables; Partially missing instruments; Family size and child development;

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References

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  1. Pedro Carneiro & James J. Heckman, 2002. "The Evidence on Credit Constraints in Post-Secondary Schooling," NBER Working Papers 9055, National Bureau of Economic Research, Inc.
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  3. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2009. "Understanding Instrumental Variables in Models with Essential Heterogeneity," Working Papers 200941, Geary Institute, University College Dublin.
  4. Joshua D. Angrist, 2000. "Estimation of Limited-Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," NBER Technical Working Papers 0248, National Bureau of Economic Research, Inc.
  5. Åslund, Olof & Grönqvist, Hans, 2007. "Family size and child outcomes: Is there really no trade-off?," Working Paper Series 2007:15, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  6. Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
  7. Julio Cáceres-Delpiano, 2006. "The Impacts of Family Size on Investment in Child Quality," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
  8. Angrist, Joshua D & Krueger, Alan B, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, MIT Press, vol. 106(4), pages 979-1014, November.
  9. Rosenzweig, Mark R & Wolpin, Kenneth I, 1980. "Testing the Quantity-Quality Fertility Model: The Use of Twins as a Natural Experiment," Econometrica, Econometric Society, vol. 48(1), pages 227-40, January.
  10. S Black & Paul Devereux & Kjell Salvanes, 2005. "The More the Merrier? The Effect of Family Size and Birth Order on Childrens Education," CEE Discussion Papers 0050, Centre for the Economics of Education, LSE.
  11. Magne Mogstad & Matthew Wiswall, 2009. "How Linear Models Can Mask Non-Linear Causal Relationships. An Application to Family Size and Children's Education," Discussion Papers 586, Research Department of Statistics Norway.
  12. Hidehiko Ichimura & Petra E. Todd, 2006. "Implementing Nonparametric and Semiparametric Estimators," CIRJE F-Series CIRJE-F-452, CIRJE, Faculty of Economics, University of Tokyo.
  13. David Card, 2000. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," NBER Working Papers 7769, National Bureau of Economic Research, Inc.
  14. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," NBER Working Papers 4483, National Bureau of Economic Research, Inc.
  15. Joshua Angrist & Victor Lavy & Analia Schlosser, 2010. "Multiple Experiments for the Causal Link between the Quantity and Quality of Children," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 773-824, October.
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Cited by:
  1. Bagger, Jesper & Birchenall, Javier A. & Mansour, Hani & Urzua, Sergio, 2013. "Education, Birth Order, and Family Size," IZA Discussion Papers 7454, Institute for the Study of Labor (IZA).
  2. Wang, Le, 2012. "Estimating Returns to Education when the IV Sample is Selective," IZA Discussion Papers 7103, Institute for the Study of Labor (IZA).

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