Showing 1 - 5 of 5
Duflo (2001) exploits a 1970s schooling expansion in Indonesia to estimate the returns to schooling. Under the study's difference-in-differences (DID) design, two patterns in the data-shallower pay scales for younger workers and negative selection in treatment-can violate the parallel trends...
Persistent link: https://www.econbiz.de/10013489378
Summan, Nandi, and Bloom (2023; SNB) finds that exposure of babies to India's Universal Immunization Programme (UIP) in the late 1980s increased their weekly wages in early adulthood by 0.138 log points and per-capita household consumption 0.028 points. But the results are attained by regressing on...
Persistent link: https://www.econbiz.de/10014495346
This paper reanalyzes Khanna (2023), which studies labor market effects of schooling in India through regression discontinuity designs. Absent from the data are four dis-tricts close to the discontinuity; restoring them cuts the reduced-form impacts on schooling and log wages by 57% and 63%....
Persistent link: https://www.econbiz.de/10014343604
Hjort and Poulsen (2019) frames the staggered arrival of submarine Internet cables on the shores of Africa circa 2010 as a difference-in-differences natural experiment. The paper finds positive impacts of broadband on individual- and firm-level employment and nighttime light emissions. These...
Persistent link: https://www.econbiz.de/10015054271
Heyes and Saberian (2019) finds that U.S. immigration judges are less likely to grant asylum in cases heard on warmer days. Spamann (2022) corrects errors in that paper, enlarges the sample, proposes additional revisions, and strongly challenges the conclusion. In a rejoinder, Heyes and Saberian...
Persistent link: https://www.econbiz.de/10015397229