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Combining Micro and Macro Data in Microeconometric Models

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Author Info
Imbens, Guido W
Lancaster, Tony

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Abstract

Census reports can be interpreted as providing nearly exact knowledge of moments of the marginal distribution of economic variables. This information can be combined with cross-sectional or panel samples to improve accuracy of estimation. In this paper, the authors show how to do this efficiently. They show that the gains from use of marginal information can be substantial. The authors also discuss how to test the compatibility of sample and marginal information. Copyright 1994 by The Review of Economic Studies Limited.

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Publisher Info
Article provided by Blackwell Publishing in its journal Review of Economic Studies.

Volume (Year): 61 (1994)
Issue (Month): 4 (October)
Pages: 655-80
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Handle: RePEc:bla:restud:v:61:y:1994:i:4:p:655-80

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  1. Del Bono, Emilia & Ermisch, John & Francesconi, Marco, 2008. "Intrafamily Resource Allocations: A Dynamic Model of Birth Weight," IZA Discussion Papers 3704, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  2. van den Berg, Gerard J. & van der Klaauw, Bas, 2000. "Combining Micro and Macro Unemployment Duration Data," IZA Discussion Papers 109, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  3. Güell, Maia & Hu, Luojia, 2003. "Estimating the Probability of Leaving Unemployment Using Uncompleted Spells from Repeated Cross-Section Data," CEPR Discussion Papers 3957, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  4. Guido W. Imbens & Judith K. Hellerstein, 1996. "Imposing Moment Restrictions from Auxiliary Data by Weighting," NBER Technical Working Papers 0202, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  5. Laura Mayoral, 2009. "Heterogeneous dynamics, aggregation and the persistence of economic shocks," UFAE and IAE Working Papers 786.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC). [Downloadable!]
  6. F Bravo, 2008. "Effcient M-estimators with auxiliary information," Discussion Papers 08/26, Department of Economics, University of York. [Downloadable!]
  7. Steven Berry & James Levinsohn & Ariel Pakes, 2001. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Cowles Foundation Discussion Papers 1337, Cowles Foundation, Yale University. [Downloadable!]
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  8. Daniel Egel & Bryan S. Graham & Cristine Campos de Xavier Pinto, 2008. "Inverse Probability Tilting and Missing Data Problems," NBER Working Papers 13981, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  9. Gerard J. van den Berg & Bas van der Klaauw, 1998. "Combining Micro and Macro Unemployment Duration Data," Tinbergen Institute Discussion Papers 98-098/3, Tinbergen Institute. [Downloadable!]
  10. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," NBER Technical Working Papers 0220, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  11. Michael Rendall & Ryan Admiraal & Alessandra DeRose & Paola DiGiulio & Mark Handcock & Filomena Racioppi, 2008. "Population constraints on pooled surveys in demographic hazard modeling," Statistical Methods and Applications, Springer, vol. 17(4), pages 519-539, October. [Downloadable!] (restricted)
  12. Berg, Gerard J. van den & Klaauw, Bas van der, 1998. "Combining micro and macro unemployment data," Serie Research Memoranda 0041, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics. [Downloadable!]
  13. V. Smith & Subhrendu Pattanayak, 2002. "Is Meta-Analysis a Noah's Ark for Non-Market Valuation?," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 22(1), pages 271-296, June. [Downloadable!] (restricted)
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  15. Aviv Nevo, 2001. "Using Weights to Adjust for Sample Selection When Auxiliary Information is Available," NBER Technical Working Papers 0275, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  16. Michael S. Rendall & Ryan Admiraal & Alessandra De Rose & Paola Di Giulio & Mark S. Handcock & Filomena Racioppi, 2006. "Population constraints on pooled surveys in demographic hazard modeling," MPIDR Working Papers WP-2006-039, Max Planck Institute for Demographic Research, Rostock, Germany. [Downloadable!]
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