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Do dropouts with longer training exposure benefit from training programs? Korean evidence employing methods for continuous treatments

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  • Chung Choe
  • Alfonso Flores-Lagunes
  • Sang-Jun Lee

Abstract

Failure of participants to complete training programs is pervasive in existing active labor market programs, both in developed and developing countries. From a policy perspective, it is of interest to know if dropouts benefit from the time they spend in training since these programs require considerable resources. We shed light on this issue by estimating the average employment effects of different lengths of exposure by dropouts in a Korean job training program, and contrasting it to the ones by program completers. To do this, we employ methods to estimate effects from continuous treatments using the generalized propensity score, under the assumption that selection into different lengths of exposure is based on a rich set of observed covariates. We find that dropouts with longer exposures exhibit higher employment probabilities one year after receiving training, but only after surpassing a threshold of exposure of about 12–15 weeks. In contrast, program completers exhibit higher returns from their time of exposure to the program than dropouts, but these tend to decline for longer program durations. Copyright Springer-Verlag Berlin Heidelberg 2015

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  • Chung Choe & Alfonso Flores-Lagunes & Sang-Jun Lee, 2015. "Do dropouts with longer training exposure benefit from training programs? Korean evidence employing methods for continuous treatments," Empirical Economics, Springer, vol. 48(2), pages 849-881, March.
  • Handle: RePEc:spr:empeco:v:48:y:2015:i:2:p:849-881
    DOI: 10.1007/s00181-014-0805-y
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    4. Maria Laura Alzúa & Soyolmaa Batbekh & Altantsetseg Batchuluun & Bayarmaa Dalkhjav & José Galdo, 2021. "Demand-Driven Youth Training Programs: Experimental Evidence from Mongolia," The World Bank Economic Review, World Bank, vol. 35(3), pages 720-744.
    5. Vera Chiodi & Gabriel Montes‐Rojas, 2022. "Mentoring as a dose treatment: Frequency matters—Evidence from a French mentoring programme," LABOUR, CEIS, vol. 36(2), pages 145-166, June.
    6. Ni Huang & Yili Hong & Gordon Burtch, 2015. "Digital Social Visibility, Anonymity and User Content Generation: Evidence from Natural Experiments," Working Papers 15-04, NET Institute.
    7. Carina Steckenleiter & Michael Lechner & Tim Pawlowski & Ute Schüttoff, 2023. "Do local expenditures on sports facilities affect sports participation?," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 1103-1128, October.
    8. Maria Laura Alzúa & Soyolmaa Batbekh & Altantsetseg Batchuluun & Bayarmaa Dalkhjavd & José Galdo, 2019. "Living with the Neighbors: Demand-Driven Youth Training Programs: Experimental Evidence from Mongolia," CEDLAS, Working Papers 0249, CEDLAS, Universidad Nacional de La Plata.

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    More about this item

    Keywords

    Training Programs; Dropouts; Continuous treatments ; Dose-response function; O15; I38; C21;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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