Showing 1 - 4 of 4
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
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
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
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