We develop and estimate a life-cycle model in a rational addiction framework where youth choose to smoke, attend school, work part-time, and consume while facing borrowing constraints. The model features multiple channels for studying the reciprocal causal effects of addiction and education....

Thirty years ago, Nanak Kakwani provided elegant nonparametric formulae for the point elasticities of measures of poverty with respect to changes in the mean of the distribution of income, thus analytically linking the poverty measures to key macroeconomic aggregates. Numerous insights are found...

Education and income are strong predictors of health and longevity. In the last 20 years many efforts have been made to understand if these relationships are causal and what the possible role of policy should be as a result. The evidence from various studies is ambiguous: the effects of...

A subset of harm reduction strategies encourages individuals to switch from a harmful addictive good to a less harmful addictive good; examples include e-cigarettes (substitutes for combustible cigarettes) and methadone and buprenorphine (substitutes for opioids). Such harm reduction methods have...

Understanding cognitive health, its decline, and the investments that shape its age profile in later life are important in an aging society, and yet, estimating the cognitive health production function is complicated by non-random mortality and sample attrition. I study this dynamic selection...

Survey reports of the incidence of chronic conditions are considered by many researchers to be more objective, and thus preferable, measures of unobserved health status than self-assessed measures of global well being. The former are 1) responses to specific questions about different ailments,...

Standard sufficient conditions for identification in the regression discontinuity design are continuity of the conditional expectation of counterfactual outcomes in the running variable. These continuity assumptions may not be plausible if agents are able to manipulate the running variable. This...

The key assumption in regression discontinuity analysis is that the distribution of potential outcomes varies smoothly with the running variable around the cutoff. In many empirical contexts, however, this assumption is not credible; and the running variable is said to be manipulated in this...

A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of interest is a kinked function of an assignment variable. In this paper, we apply an RKD approach to study the effect of unemployment benefits on the duration of joblessness in...

This paper investigates to what extent and through which channels that health and educational attainment are interdependent. A dynamic model of schooling, work, health expenditure, and savings is developed. The structural framework explicitly models two existing hypotheses on the correlation...