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Nonparametric Estimates of the Labor-Supply Effects of Negative Income Tax Programs

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Author Info
Ashenfelter, Orley
Plant, Mark W

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Abstract

This article reports nonparametric estimates of the effect of labor-supply behavior on the payments to families enrolled in the Seattle/Denver Income Maintenance Experiment. The randomized assignment of families to the treatment groups in this experiment was designed to permit the calculation of these nonparametric estimates. However, the nonparametric estimates have never been reported, even though they are easy to construct using a simple weighting procedure. Unfortunately, responses to the data collection instrument (which depended on costly surveys) were not random, and this opens up some ambiguity in the results. Copyright 1990 by University of Chicago Press.

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Publisher Info
Article provided by University of Chicago Press in its journal Journal of Labor Economics.

Volume (Year): 8 (1990)
Issue (Month): 1 (January)
Pages: S396-415
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Handle: RePEc:ucp:jlabec:v:8:y:1990:i:1:p:s396-415

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Greenberg, David & Halsey, Harlan, 1983. "Systematic Misreporting and Effects of Income Maintenance Experiments on Work Effort: Evidence from the Seattle-Denver Experiment," Journal of Labor Economics, University of Chicago Press, vol. 1(4), pages 380-407, October. [Downloadable!] (restricted)
  2. Woodbury, Stephen A & Spiegelman, Robert G, 1987. "Bonuses to Workers and Employers to Reduce Unemployment: Randomized Trials in Illinois," American Economic Review, American Economic Association, vol. 77(4), pages 513-30, September. [Downloadable!] (restricted)
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  1. Robert Moffitt, 2002. "The role of randomized field trials in social science research: a perspective from evaluations of reforms of social welfare programs," CeMMAP working papers CWP23/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
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