IDEAS home Printed from https://ideas.repec.org/p/fth/tilbur/9017.html

The Exact Likelihood Function For An Empirical Job Search Model

Author

Listed:
  • CHRISTENSEN, B.J.
  • KIEFER, N.M.

Abstract

The exact likelihood function for a prototypal job search model is analyzed. The optimality condition implied by the dynamic programming framework is fully imposed. Using the optimality condition allows identification of an offer arrival probability separately from an offer acceptance probability. The estimation problem is nonstandard. The geometry of the likelihood function in finite samples is considered, along with asymptotic properties of the maximum likelihood estimator.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Christensen, B.J. & Kiefer, N.M., 1990. "The Exact Likelihood Function For An Empirical Job Search Model," Papers 9017, Tilburg - Center for Economic Research.
    • Handle: RePEc:fth:tilbur:9017
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Ferrall, Christopher, 1997. "Unemployment Insurance Eligibility and the School-to-Work Transition in Canada and the United States," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(2), pages 115-129, April.
    2. repec:qed:wpaper:904 is not listed on IDEAS
    3. Sareen, Samita, 2003. "Reference Bayesian inference in nonregular models," Journal of Econometrics, Elsevier, vol. 113(2), pages 265-288, April.
    4. Paul E. Carrillo, 2005. "Assessing the Value of On-line Information Using a Two-sided Equilibrium Search Model in the Real Estate Market," Computing in Economics and Finance 2005 307, Society for Computational Economics.
    5. John W. Schindler, 2001. "Testing optimality in job search models," International Finance Discussion Papers 710, Board of Governors of the Federal Reserve System (U.S.).
    6. Manning, Alan & Thomas, Jonathan, 1997. "A simple test of the shirking model," LSE Research Online Documents on Economics 20300, London School of Economics and Political Science, LSE Library.
    7. Zhou, Haiming & Huang, Xianzheng, 2022. "Bayesian beta regression for bounded responses with unknown supports," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
    8. Donald, Stephen G. & Paarsch, Harry J., 2002. "Superconsistent estimation and inference in structural econometric models using extreme order statistics," Journal of Econometrics, Elsevier, vol. 109(2), pages 305-340, August.
    9. H. Bunzel & Bent Jesper Christensen & Peter Jensen & Nicholas Kiefer & L. Korsholm & L. Muus & G. R. Neumann & Michael Rosholm, 2001. "Specification and Estimation of Equilibrium Search Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(1), pages 90-126, January.
    10. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
    11. George R. Neumann, 1995. "Search Models and Duration Data," Labor and Demography 9511001, University Library of Munich, Germany.
    12. Steven Stern & John Pepper, 2001. "Empirical Search Models," Virginia Economics Online Papers 383, University of Virginia, Department of Economics.
    13. Bruce Shearer, 1994. "Piece-Rates, Principal-Agent, and Productivity Profiles: Parametric and Semi-Parametric Evidence," CIRANO Working Papers 94s-16, CIRANO.
    14. George Neumann, 1996. "Search Models and Duration Data," Econometrics 9602008, University Library of Munich, Germany, revised 07 Mar 1996.
    15. Levinsohn, James & Pugatch, Todd, 2014. "Prospective analysis of a wage subsidy for Cape Town youth," Journal of Development Economics, Elsevier, vol. 108(C), pages 169-183.
    16. Padma Rao Sahib, 2000. "The information content of wage and duration data in a search model," Applied Economics, Taylor & Francis Journals, vol. 32(14), pages 1831-1839.
    17. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 4, pages 331-461, Elsevier.
    18. Christensen, Bent Jesper & Kiefer, Nicholas M, 1994. "Measurement Error in the Prototypal Job-Search Model," Journal of Labor Economics, University of Chicago Press, vol. 12(4), pages 618-639, October.
    19. Christensen, Bent Jesper & Kiefer, Nicholas M., 1997. "Inference in non-linear panel models with partially missing observations The case of the equilibrium search model," Journal of Econometrics, Elsevier, vol. 79(2), pages 201-219, August.
    20. R. Bernardini Papalia & S. Bertarelli, 1998. "An Optimal Partnership Search Model: Theoretical Implications for the Europartenariat Event," Working Papers 310, Dipartimento Scienze Economiche, Universita' di Bologna.

    More about this item

    Keywords

    ;
    ;
    ;

    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:fth:tilbur:9017. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Thomas Krichel (email available below). General contact details of provider: https://edirc.repec.org/data/cekubnl.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.