IDEAS home Printed from https://ideas.repec.org/p/wyi/wpaper/001968.html
   My bibliography  Save this paper

Evaluating the Impacts of Washington State Repeated Job Search Services on the Earnings of Prime-age

Author

Listed:
  • Cheng Hsiao
  • Yan Shen
  • Boqing Wang
  • Greg Weeks

Abstract

This paper uses an unbalanced panel dataset to evaluate how repeated job search services (JSS) and other personal characteristics affect the quarterly earnings of the prime-age female welfare recipients in the State of Washington. We propose a joint dependent framework for the probability of employment and potential earnings or hours or hourly wage rates to facilitate the investigation of the issues of joint determination of employment and potential earnings and to allow for factors to have different impacts on employment status and on quarterly earnings. We have also suggested formulae to compute the dynamic impact of JSS on duration and earnings. Both the maximum likelihood (ML) and semiparametric estimates are provided. We find that the results are sensitive to the choice of models and estimation methods. For a randomly assigned individual, the first, second and the three or more JSS raised the short-run and long-run earnings by (5%, 0%, 0%) and (1%, 0%, 0%), respectively, based on the MLE and by (56.6%, 36.2%, 36.9%) and (50.7%, 36.2%, 36.9%), respectively based on the semiparametric Tobit model. We have also conducted specification analysis. The results appear to favor semi-parametric Type II Tobit model estimates.

Suggested Citation

  • Cheng Hsiao & Yan Shen & Boqing Wang & Greg Weeks, 2013. "Evaluating the Impacts of Washington State Repeated Job Search Services on the Earnings of Prime-age," WISE Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  • Handle: RePEc:wyi:wpaper:001968
    as

    Download full text from publisher

    File URL: http://121.192.176.75/repec/upload/2007223126107055475115776.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters,in: Schooling, Experience, and Earnings, pages 1-4 National Bureau of Economic Research, Inc.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    3. Ekaterini Kyriazidou, 1997. "Estimation of a Panel Data Sample Selection Model," Econometrica, Econometric Society, vol. 65(6), pages 1335-1364, November.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, April.
    5. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    6. Michael Lechner, 2004. "Sequential Matching Estimation of Dynamic Causal Models," University of St. Gallen Department of Economics working paper series 2004 2004-06, Department of Economics, University of St. Gallen.
    7. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
    8. Michael Lechner, 2006. "Matching Estimating of Dynamic Treatment Models: Some Practical Issues," University of St. Gallen Department of Economics working paper series 2006 2006-03, Department of Economics, University of St. Gallen.
    Full references (including those not matched with items on IDEAS)

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wyi:wpaper:001968. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (WISE Technical Team). General contact details of provider: http://www.wise.xmu.edu.cn/english/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.