... of early marriage to the Kyrgyz economy, this analysis is grounded in human capital theory as its theoretical foundation. Design/methodology/approach Utilizing the United Nations Children's Fund's Multiple Indicator Cluster Survey 2023 dataset, the present study employs propensity score matching...

... with sample selection correction, the quasi-experimental technique of propensity score matching and heteroskedasticity based instrumental variable approach to estimate the returns with respect to no VET, formal VET and informal VET. Findings Our study shows that workers with formal VET earn higher wages...

... 05 08 2020 28 02 2021 14 07 2021 14 07 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Exports Women's employment Gender inequality Propensity score matching C21 C23 D21 D24 F10 F23 J16 The World...

..., treatment and control groups are defined, and Propensity Score Matching models estimated. The dependent variable is measured as the probability that an individual remained employed with the same employer in the future (one, two and three years) after implementation of a STW arrangement. Findings Our...

... the largest collection of data that examines the experiences of transgender people in the USA. To establish a casual effect, this analysis employs fixed effects Ordinary Least Squares methods and Propensity Score Matching algorithms. (1) Y i s = α 0 + α 1 D e m G o...

... the standard errors for the decomposition results. The author further applies the propensity score matching (PSM) method to check whether the results are robust by restricting the sample to the “common support.” Findings Within-job difference, particularly, the favorable treatment toward urban workers...

... effects, by both standard linear regression and propensity score matching, largely reduces the extent of wage premium emerging from unconditional descriptives; the results of an endogenous switching regression model however suggest that failing to properly care for unobserved factors leads...

... are compared to high school graduates with no university experience, rather than to university graduates. Finally, evidence on the mechanisms driving the effect of dropping out is provided, by considering timing and motivations for dropping out. Earnings Italy NEET Propensity score matching Job...

... capital after finishing their schooling. Design/methodology/approach The evaluation is based on a non-experimental control group design. Exploiting extremely rich administrative data, impact estimates are obtained via propensity score matching. The robustness of results is checked through extensive...

... a 12-year pre-treatment period; the measurement of unemployment occurrence during a seven-year treatment period; the observation of CHD occurrence during a five-year follow up. The workers characteristics and the probability of receiving the treatment are balanced by means of propensity score matching...

... the impact of six short training programmes on the participants. She uses propensity score matching and large‐scale administrative data to find suitable comparison groups. She compares treatment to non‐participation as well as participation in different training types directly. Findings The results...

... Germany Unemployment Labour market Training management Evaluation of active labour market programmes Training programmes Wage subsidies Propensity score matching In Germany, considerable funds are devoted to active labor market programs that should support the integration of unemployed...