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Can educational expansion improve income inequality in China? : evidences from the CHNS 1997 and 2006 data
Ning, Guangjie - 2010
Rapid education expansion and rising income inequality are two striking phenomena occurring in China during the … transitional period. Using the China Health and Nutrition Survey (CHNS) data collected in 1997 and 2006, this paper studies how … effect. In explaining the earning gap in China, the price effect is more important than the population effect. The labor …
Persistent link: https://www.econbiz.de/10008989747
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Can educational expansion improve income inequality? : evidences from the CHNS 1997 and 2006 data
Ning, Guangjie - In: Economic systems 34 (2010) 4, pp. 397-412
Persistent link: https://www.econbiz.de/10008989766
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Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice : 2001 Lawrence R. Kle...
Carneiro, Pedro; Hansen, Karsten T.; Heckman, James J. - In: International economic review 44 (2003) 2, pp. 361-422
Persistent link: https://www.econbiz.de/10001767150
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Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice
Carneiro, Pedro; Hansen, Karsten T.; Heckman, James J. - 2003
Persistent link: https://www.econbiz.de/10001743030
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Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice
Carneiro, Pedro (contributor);  … - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001752084
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School Social Context Differences and Reform : Evidence from Means-Tested Voucher Reform Effects on Achievement Inequality in Chile
Ceron, Francisco - 2019
Our study investigates the social conditions in which the Preferential School Subsidy (SEP) reform implemented in Chile in 2008 has influenced students' achievement in 4th grade. SEP reform has been widely evaluated. However, it is less known how the social conditions under which a reform can be...
Persistent link: https://www.econbiz.de/10012894186
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Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College
Carneiro, Pedro Manuel; Hansen, Karsten T.; Heckman, … - 2021
This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...
Persistent link: https://www.econbiz.de/10013217582
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Nowcasting the impact of COVID-19 on education, intergenerational mobility and earnings inequality in Sub-Saharan Africa
Neidhöfer, Guido; Lustig, Nora; Larroulet, Patricio - 2022 - This version: June 2022
Using microsimulations, we nowcast the impact of learning losses caused by COVID-19 on secondary school completion rates, intergenerational mobility of education, and long-run earnings inequality in eight countries Sub-Saharan Africa. On average, secondary school completion rates decrease by 12...
Persistent link: https://www.econbiz.de/10013275358
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Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice
Carneiro, Pedro Manuel; Hansen, Karsten T.; Heckman, … - 2021
This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...
Persistent link: https://www.econbiz.de/10013319958
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Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College
Carneiro, Pedro - 2003
This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...
Persistent link: https://www.econbiz.de/10012469154