糖心TV

Title to be advised.

Subhasish Dey with co-author Aditi Sanjay will be presenting the paper.

Title: Does a Legal Ban on Pre-Natal Sex Determination Improve Female Educational Attainment? Evidence from India

Abstract: The study attempts to empirically estimate the causal impact of a legal ban on pre-natal sex determination on female educational attainment in the Indian context. A differences-in-differences setup is employed to exploit the exogenous policy variation created by the implementation of the Pre-Conception and Pre-Natal Diagnostic Techniques (PCPNDT) Act, 1996. The paper establishes the economic channels linking the direct effect of the Act on the odds of occurrence of a female birth to its indirect effect on female educational attainment. The results of the analysis report that the Act has significantly increased the probability of a female birth by 2.56% and years of education completed by 2.15 years. Hence, this study contributes to the scarce literature on the long-term consequential impact of this legislation and to the relevance of demographic policies in shaping human capital formation.

The title of JMP:

Abstract: Smooth ambiguity preferences (Klibanoff, Marinacci, and Mukerji, 2005) describe a decision maker who evaluates each act according to a twofold expectation defined by a utility function, an ambiguity index , and a belief over a set of probabilities. We revisit the logic behind this well known representation. We interpret the set of probabilities as a subjective statistical model, and posit that according to the decision maker it is point identified. Our main result is an axiomatic foundation for this representation within the standard Anscombe-Aumann framework. The result is based on a joint weakening of the Savage and the Anscombe-Aumann axioms. Finally, we extend the analysis to statistical models that are partially identified, in order to capture ambiguity about unknowables.