We study identiï¬cation and estimation of the average treatment effect in a correlated random coefficients model that allows for ï¬rst stage heterogeneity and binary instruments. The model also allows for multiple endogenous variables and interactions between endogenous variables and...

We provide methods for inference on a finite dimensional parameter of interest, theta in Re^{d_theta}, in a semiparametric probability model when an infinite dimensional nuisance parameter, g, is present. We depart from the semiparametric literature in that we do not require that the pair...

Paid maternity leave has gained greater salience in the past few decades as mothers have increasingly entered the workforce. Indeed, the median number of weeks of paid leave to mothers among OECD countries was 14 in 1980, but had risen to 42 by 2011. We assess the case for paid maternity leave,...

The influence of peers could play an important role in the take up of social programs. However, estimating peer effects has proven challenging given the problems of reflection, correlated unobservables, and endogenous group membership. We overcome these identification issues in the context of...

Disability Insurance (DI) programs have long been criticized by economists for apparent work disincentives. Some countries have recently modified their programs such that DI recipients are allowed to keep some of their benefits if they return to work, and other countries are considering similar...

When is one distribution (of income, consumption, or some other economic variable) more equal or better than another? This question has proven difficult to answer in situations where distribution functions intersect and no unambiguous ranking can be attained without introducing weaker criteria...

We investigate the pattern of educational assortative mating, its evolution over time, and its impact on household income inequality. To these ends, we use rich data from the United States and Norway over the period 1980-2007. We find evidence of positive assortative mating at all levels of...

We assess the implications of nonlinearity for IV and FE estimation when the estimated model is inappropriately assumed to be linear. Our application is the causal link between family income and child outcomes. Our nonlinear IV and FE estimates show an increasing, concave relationship between...

Two key questions in thinking about the size and growth of the disability insurance program are to what extent it discourages work, and how valuable the insurance is to individuals and families. These questions motivate our paper. We begin by describing the earnings, disposable income and...