IDEAS home Printed from https://ideas.repec.org/p/azt/cemmap/05-02.html
   My bibliography  Save this paper

Local identification in nonseparable models

Author

Listed:
  • Andrew Chesher

Abstract

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.

Suggested Citation

  • Andrew Chesher, 2002. "Local identification in nonseparable models," CeMMAP working papers 05/02, Institute for Fiscal Studies.
  • Handle: RePEc:azt:cemmap:05/02
    DOI: 10.1920/wp.cem.2002.0502
    as

    Download full text from publisher

    File URL: https://www.cemmap.ac.uk/wp-content/uploads/2020/08/CWP0502.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.1920/wp.cem.2002.0502?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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, March.
    2. Bo E. Honoré & Adriana Lleras-Muney, 2006. "Bounds in Competing Risks Models and the War on Cancer," Econometrica, Econometric Society, vol. 74(6), pages 1675-1698, November.
    3. Charles F. Manski, 1997. "Monotone Treatment Response," Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
    4. Hunt, Jennifer, 1995. "The Effect of Unemployment Compensation on Unemployment Duration in Germany," Journal of Labor Economics, University of Chicago Press, vol. 13(1), pages 88-120, January.
    5. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    6. 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;German Statistical Society, vol. 89(2), pages 209-236, June.
    7. Lawrence F. Katz & Bruce D. Meyer, 1988. "The Impact of the Potential Duration of Unemployment Benefits on the Duration of Unemployment," Working Papers 621, Princeton University, Department of Economics, Industrial Relations Section..
    8. Tomi Kyyrä & Ralf A. Wilke, 2007. "Reduction in the Long-Term Unemployment of the Elderly: A Success Story from Finland," Journal of the European Economic Association, MIT Press, vol. 5(1), pages 154-182, March.
    9. 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.
    10. Elke Lüdemann & Ralf Wilke & Xuan Zhang, 2006. "Censored quantile regressions and the length of unemployment periods in West Germany," Empirical Economics, Springer, vol. 31(4), pages 1003-1024, November.
    11. 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.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Woocheol Kim, 2004. "Identification And Estimation Of Nonparametric Structural," Econometric Society 2004 Far Eastern Meetings 733, Econometric Society.
    2. Chesher, Andrew, 2007. "Instrumental values," Journal of Econometrics, Elsevier, vol. 139(1), pages 15-34, July.
    3. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lee, Sokbae & Wilke, Ralf A., 2009. "Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 193-205.
    2. Jessen, Jonas & Jessen, Robin & Galecka-Burdziak, Ewa & Góra, Marek & Kluve, Jochen, 2023. "The Micro and Macro Effects of Changes in the Potential Benefit Duration," IZA Discussion Papers 15978, Institute of Labor Economics (IZA).
    3. Haan, Peter & Prowse, Victoria L., 2010. "The Design of Unemployment Transfers: Evidence from a Dynamic Structural Life-Cycle Model," IZA Discussion Papers 4792, Institute of Labor Economics (IZA).
    4. Arntz, Melanie & Lo, Simon M. S. & Wilke, Ralf A., 2008. "Bounds analysis of competing risks : a nonparametric evaluation of the effect of unemployment benefits on migration in Germany (Revised version of the FDZ Methodenbericht No. 04/2007)," FDZ Methodenreport 200806_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    6. Callaway, Brantly, 2021. "Bounds on distributional treatment effect parameters using panel data with an application on job displacement," Journal of Econometrics, Elsevier, vol. 222(2), pages 861-881.
    7. repec:iab:iabfme:200704(en is not listed on IDEAS
    8. Müller Eva & Wilke Ralf A. & Zahn Philipp, 2007. "Beschäftigung und Arbeitslosigkeit älterer Arbeitnehmer / Employment and Unemployment of the Elderly: Eine mikroökonometrische Evaluation der Arbeitslosengeldreform von 1997 / A Microeconometric Evalu," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 65-86, February.
    9. Virve Ollikainen & Tomi Kyyrä, 2006. "To Search or Not to Search? The Effects of UI Benefit Extension for the Elderly Unemployed," Discussion Papers 400, Government Institute for Economic Research Finland (VATT).
    10. Ben Deaner & Hyejin Ku, 2024. "Causal Duration Analysis with Diff-in-Diff," Papers 2405.05220, arXiv.org.
    11. repec:iab:iabfme:200806(en is not listed on IDEAS
    12. Bart, COCKX & Jean, RIES, 2004. "The Exhaustion of Unemployment Benefits in Belgium. Does it Enhance the Probability of Employment ?," LIDAM Discussion Papers IRES 2004016, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    13. Kyyrä, Tomi & Ollikainen, Virve, 2008. "To search or not to search? The effects of UI benefit extension for the older unemployed," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2048-2070, October.
    14. Monique de Haan, 2011. "The Effect of Parents' Schooling on Child's Schooling: A Nonparametric Bounds Analysis," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 859-892.
    15. Arntz, Melanie & Lo, Simon M. S. & Wilke, Ralf A., 2007. "Bounds analysis of competing risks : a nonparametric evaluation of the effect of unemployment benefits on migration in Germany," FDZ-Methodenreport 200704 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    16. Arranz, José M. & García-Serrano, Carlos, 2023. "Assistance benefits and unemployment outflows of the elderly unemployed: The impact of a law change," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    17. Ismaël Mourifié & Marc Henry & Romuald Méango, 2020. "Sharp Bounds and Testability of a Roy Model of STEM Major Choices," Journal of Political Economy, University of Chicago Press, vol. 128(8), pages 3220-3283.
    18. Sokbae Lee & Oliver Linton & Yoon-Jae Whang, 2009. "Testing for Stochastic Monotonicity," Econometrica, Econometric Society, vol. 77(2), pages 585-602, March.
    19. Breiding, Torsten, 2006. "Die Arbeitslosenversicherung in Deutschland – Beitrag zur Bekämpfung oder Ursache von Arbeitslosigkeit [The unemployment insurance in Germany - does it cause or does it help to overcome unemploymen," MPRA Paper 20999, University Library of Munich, Germany.
    20. Rafael Lalive & Jan Ours & Josef Zweimüller, 2011. "Equilibrium unemployment and the duration of unemployment benefits," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(4), pages 1385-1409, October.
    21. Luis Eduardo Arango & Ana María Ríos, 2015. "Duración del desempleo en Colombia: género, intensidad de búsqueda y anuncios de vacantes," BORRADORES DE ECONOMIA 012528, BANCO DE LA REPÚBLICA.
    22. Konstantinos Tatsiramos & Jan C. Ours, 2014. "Labor Market Effects Of Unemployment Insurance Design," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 284-311, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:azt:cemmap:05/02. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dermot Watson (email available below). General contact details of provider: https://edirc.repec.org/data/ifsssuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.