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

Choe, Chung; Flores‐Lagunes, Alfonso; Lee, Sang Jun

doi:10.1007/s00181-014-0805-y

Cited by 13 publications

(18 citation statements)

References 39 publications

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“…Our work is not the first to employ a DID estimation in analyzing online reviews, however, prior research has typically employed a single-shock DID estimation(Chevalier and Mayzlin 2006;Zhang and Zhu 2011;Mayzlin et al 2014). Our two-treatment DID provides significantly stronger identification and generally more conservative estimates(Choe et al 2015). Nonetheless, in the robustness check section, we report the results of separate, single-shock DID analyses, to verify the main findings.…”

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confidence: 66%

Digital Social Visibility, Anonymity and User Content Generation: Evidence from Natural Experiments

2015

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This study examines how changes in digital social visibility (or conversely, anonymity) can affect the characteristics of user-generated content (volume and linguistic features). We consider natural experiments at two leading online review websites (Yelp.com and TripAdvisor.com), wherein each was integrated with Facebook. Constructing a unique panel dataset of online reviews for a matched set of restaurants across the two review sites, we estimate a multi-treatment difference-in-differences (DID) model to assess the impact of increased digital social visibility (decreased anonymity). We find that integration with Facebook (and thus greater digital social visibility) increased the volume of user-generated content and consumers' use of affective language processes, while simultaneously decreasing their use of cognitive language processes and controversial language (e.g., sexually explicit, negative and abrasive words). We discuss the implication of these results as they relate to the creation of a civil, sustainable online social platforms for user generated content.

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confidence: 66%

Digital Social Visibility, Anonymity and User Content Generation: Evidence from Natural Experiments

2015

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“…When they were correctly informed, however, both enrollment in the subsequent year and the average length of formal schooling increased. In the context of vocational training programs, Galdo et al 2012and Choe, Flores-Lagunes, and Lee (2015) showed for Peru and South Korea, respectively, that failure of participants to complete training programs negatively affects the returns to training.…”

Section: The Mongolian Vocational Training Programmentioning

confidence: 99%

“…Disadvantaged individuals are commonly unable to complete training programs because of personal or institutional barriers or because they lack information/knowledge regarding the returns to training. No matter the specific source of this empirical regularity, the effectiveness of training programs depends upon the length of exposure to the intervention as shown in Galdo et al (2012) and Choe, Flores-Lagunes, and Lee (2015). This finding points toward policy choices that would increase training exposure for potential dropouts.…”

Section: Introductionmentioning

confidence: 97%

Demand-Driven Youth Training Programs: Experimental Evidence from Mongolia

Batbekh

Batchuluun

Dalkhjav

et al. 2020

The World Bank Economic Review

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The effectiveness of a demand-driven vocational-training program for disadvantaged youth in Ulaanbaatar, the capital city of Mongolia is assessed through a randomized controlled trial. Mongolia, a transitional country whose economic structure shifted from a Communist, centrally planned economy to a free-market economy over a relatively short period, offers a new setting in which to test the effectiveness of market-based active-labor-market policies. Results show short-term positive impacts on self-employment and skills match, while positive but uncertain effects emerge for employment and earnings. Substantial heterogeneity emerges as relatively older, richer, and better-educated individuals drive these positive effects. A second intervention, in which participants were randomly assigned to receive newsletters with information on market returns to vocational training, shows statistically meaningful effects on the length of exposure to the program (i.e., number of training days attended). These positive impacts, however, do not lead to higher employment or greater earnings.

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“…1 In fact, dropout is endemic to most voluntary training programs, as it ranges from 5 to 79 percent in developed countries (Heckman et al 2000) and from 10 to 50 percent in developing countries (Choe et al 2011). Accounting for dropouts has profound methodological and policy consequences: (i) it demands the application of nonexperimental methods even when experimental data is available; (ii) the parameters of interest should carefully distinguish the effects of the program from the effects of training; and (iii)…”

Section: Introductionmentioning

confidence: 99%

Program quality and treatment completion for youth training programs

Dammert

Galdo

2013

Economics Letters

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

Cited by 13 publications

References 39 publications

Digital Social Visibility, Anonymity and User Content Generation: Evidence from Natural Experiments

Digital Social Visibility, Anonymity and User Content Generation: Evidence from Natural Experiments

Demand-Driven Youth Training Programs: Experimental Evidence from Mongolia

Program quality and treatment completion for youth training programs

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