Evaluating job training in two Chinese cities
In: China in the World Economy
AbstractRecent years have seen a surge in work on the impacts of active labor market programs for numerous countries. However, little evidence has been presented on the effectiveness of such programs in China. Recent economic reforms, associated with massive lay-offs, and the accompanying public retraining programs make China fertile ground for rigorous impact evaluations. This study uses survey data from the two large industrial cities Shenyang and Wuhan, covering the period 1998 to 2000, to evaluate retraining programs for over 2000 workers two years after they had been observed as displaced and unemployed. Using a comparison group design, this study is, to our knowledge, the first evaluation of its kind in China. The evidence suggests that retraining helped workers find jobs in Wuhan, but had little effect in Shenyang. The study raises questions about the overall effectiveness of retraining expenditures, and it offers some directions for policy-makers about future interventions to help laid-off workers.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" 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 search for a similarly titled item that would be available.
This chapter was published in: Benu Bidani & Niels-Hugo Blunch & Chor-Ching Goh & Christopher J. O'Leary & Zhongmin Wu China in the World Economy, Routledge, pages 137-155, 2009.
This item is provided by W.E. Upjohn Institute for Employment Research in its series Book chapters authored by Upjohn Institute researchers with number cjoroutledge.
Contact details of provider:
Postal: 300 S. Westnedge Ave. Kalamazoo, MI 49007 USA
Web page: http://www.upjohn.org
UNEMPLOYMENT; job training; employment policy; China; Unemployment insurance; Benefits;
Other versions of this item:
- Benu Bidani & Niels-Hugo Blunch & Chor-ching Goh & Christopher J. O'Leary, . "Evaluating Job Training in Two Chinese Cities," Upjohn Working Papers and Journal Articles cjo2009, W.E. Upjohn Institute for Employment Research.
- Benu Bidani & Niels-Hugo Blunch & Chor-ching Goh & Christopher J. O'Leary, 2005. "Evaluating Job Training in Two Chinese Cities," Upjohn Working Papers and Journal Articles 05-111, W.E. Upjohn Institute for Employment Research.
- J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
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.:
- Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
- White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
- Emanuela Galasso & Martin Ravallion & Agustin Salvia, 2004.
"Assisting the transition from workfare to work: A randomized experiment,"
Industrial and Labor Relations Review,
ILR Review, Cornell University, ILR School, vol. 58(1), pages 128-142, October.
- Galasso, Emanuela & Ravallion, Martin & Salvia, Agustin, 2001. "Assisting the transition from workfare to work : a randomized experiment," Policy Research Working Paper Series 2738, The World Bank.
- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998.
"Characterizing Selection Bias Using Experimental Data,"
NBER Working Papers
6699, National Bureau of Economic Research, Inc.
- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
- Spence, A Michael, 1973. "Job Market Signaling," The Quarterly Journal of Economics, MIT Press, vol. 87(3), pages 355-74, August.
- Dar, Amit & Gill, Indermit S, 1998. "Evaluating Retraining Programs in OECD Countries: Lessons Learned," World Bank Research Observer, World Bank Group, vol. 13(1), pages 79-101, February.
- Fretwell, David H. & Benus, Jacob & O'Leary, Christopher J., 1999. "Evaluating the impact of active labor programs : results of cross country studies in Europe and Central Asia," Social Protection Discussion Papers 20131, The World Bank.
- Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
- DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, Social Science Research Center Berlin (WZB).
- World Bank, 2009. "China - From Poor Areas to Poor People : China’s Evolving Poverty Reduction Agenda - An Assessment of Poverty and Inequality in China," World Bank Other Operational Studies 3033, The World Bank.
- Gordon Betcherman & Niels-Hugo Blunch, 2008. "The limited job prospects of displaced workers: evidence from two cities in China," Economic Change and Restructuring, Springer, vol. 41(3), pages 187-207, September.
- World Bank, 2009. "China - From Poor Areas to Poor People : China’s Evolving Poverty Reduction Agenda - An Assessment of Poverty and Inequality in China," World Bank Other Operational Studies 3031, The World Bank.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.