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In 2005, the Indian Government launched a conditional cash-incentive program to en- courage institutional delivery. This paper studies the eects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention...
Persistent link: https://www.econbiz.de/10011148654
In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention...
Persistent link: https://www.econbiz.de/10010959662
We propose various semiparametric estimators for nonlinear selection models, where slope and intercept can be separately identifed. When the selection equation satisfies a monotonic index restriction, we suggest a local polynomial estimator, using only observations for which the marginal...
Persistent link: https://www.econbiz.de/10012597510
In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention...
Persistent link: https://www.econbiz.de/10010421149
Persistent link: https://www.econbiz.de/10010516835
Persistent link: https://www.econbiz.de/10011917269
Persistent link: https://www.econbiz.de/10001468222
In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention...
Persistent link: https://www.econbiz.de/10010409880
Persistent link: https://www.econbiz.de/10007680729
Self-reported survey data are often plagued by the presence of heaping. Accounting for this measurement error is crucial for the identification and consistent estimation of the underlying model (parameters) from such data. This paper introduces two Stata commands. The first command, heapmph,...
Persistent link: https://www.econbiz.de/10012914106