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Local identification in nonseparable models

  • Andrew Chesher

    ()

    (Institute for Fiscal Studies and University College London)

Conditions are derived under which there is local nonparametric identification of values of structural functions and of their derivatives in potentially nonlinear nonseparable models. The attack on this problem is via conditional quantile functions and exploits local quantile independence conditions. The identification conditions include local analogues of the order and rank conditions familiar in the analysis of linear simultaeous equations models. The derivatives whose identification is sought are derivatives of structural equations at a point defined by values of covariates and quantiles of the distributions of the stochastic drivers of the system. These objects convey information about the distribution of the exogenous impact of changes in variables potentially endogenous in the data generating process. The identification conditions point directly to analogue estimators of derivatives of structural functions which are functionals of quantile regression function estimators.

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File URL: http://cemmap.ifs.org.uk/wps/cwp0502.pdf
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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number CWP05/02.

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Length: 33 pp.
Date of creation: Mar 2002
Date of revision:
Handle: RePEc:ifs:cemmap:05/02
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  1. Lüdemann, Elke & Wilke, Ralf A. & Zhang, Xuan, 2004. "Censored Quantile Regressions and the Length of Unemployment Periods in West Germany," ZEW Discussion Papers 04-57, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. Richard Blundell & Amanda Gosling & Hidehiko Ichimura & Costas Meghir, 2007. "Changes in the Distribution of Male and Female Wages Accounting for Employment Composition Using Bounds," Econometrica, Econometric Society, vol. 75(2), pages 323-363, 03.
  3. Jennifer Hunt, 1992. "The Effect of Unemployment Compensation on Unemployment Duration in Germany," Discussion Papers of DIW Berlin 50, DIW Berlin, German Institute for Economic Research.
  4. Bo E. Honoré & Adriana Lleras-Muney, 2004. "Bounds in Competing Risks Models and the War on Cancer," CAM Working Papers 2004-08, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  5. Katz, Lawrence F. & Meyer, Bruce D., 1990. "The impact of the potential duration of unemployment benefits on the duration of unemployment," Journal of Public Economics, Elsevier, vol. 41(1), pages 45-72, February.
  6. Bo E. Honore & Adriana Lleras Muney, 2004. "Bounds in Competing Risks Models and the War on Cancer," NBER Working Papers 10963, National Bureau of Economic Research, Inc.
  7. Michael Lechner, 1999. "Nonparametric bounds on employment and income effects of continuous vocational training in East Germany," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 1-28.
  8. Martin Biewen & Ralf Wilke, 2005. "Unemployment duration and the length of entitlement periods for unemployment benefits: do the IAB employment subsample and the German Socio-Economic Panel yield the same results?," AStA Advances in Statistical Analysis, Springer, vol. 89(2), pages 209-236, June.
  9. Susan Athey & Guido Imbens, 2003. "Identification and Inference in Nonlinear Difference-in-Differences Models," Levine's Working Paper Archive 506439000000000079, David K. Levine.
  10. Tomi Kyyrä & Ralf Wilke, 2004. "Reduction in the Long-Term Unemployment of the Elderly: A Success Story from Finland," Discussion Papers 346, Government Institute for Economic Research Finland (VATT).
  11. Charles F. Manski & John V. Pepper, 2000. "Monotone Instrumental Variables, with an Application to the Returns to Schooling," Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
  12. Charles F. Manski, 1997. "Monotone Treatment Response," Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
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