The interpretation of instrumental variables (IV) estimates as local average treatment effects (LATE) of instrument-induced shifts in treatment raises concerns about their external validity and policy relevance. We examine how to move beyond LATE in situations where the instrument is discrete,...

We examine instrumental variables estimation in situations where the instrument is only observed for a sub-sample, which is fairly common in empirical research. Typically, researchers simply limit the analysis to the sub-sample where the instrument is non-missing. We show that when the...

Many empirical studies specify outcomes as a linear function of endogenous regressors when conducting instrumental variable (IV) estimation. We show that tests for treatment effects, selection bias, and treatment effect heterogeneity are biased if the true relationship is non-linear. These...

This paper uses a rich Norwegian dataset to re-examine the causal relationship between family income and child outcomes. Motivated by theoretical predictions and OLS results that suggest a nonlinear relationship, we depart from previous studies in allowing the marginal effects on children's...

The growth in labor market participation among women with young children has raised concerns about the potential negative impact of the mother's absence from home on child outcomes. Recent data show that mother's time spent with children has declined in the last decade, while the indicators of...

The linear IV estimator, in which the dependent variable is a linear function of a potentially endogenous regressor, is a major workhorse in empirical economics. When this regressor takes on multiple values, the linear specification restricts the marginal effects to be constant across all...

This paper combines multiple sources of information on early childhood development in a unified model for analysis of a wide range of early childhood policy interventions. We develop a model of child care in which households decide both the quantities and qualities of maternal and non-maternal...

This paper examines New York City's Summer Youth Employment Program (SYEP). SYEP provides jobs to youth ages 14-24, and due to high demand for summer jobs, allocates slots through a random lottery system. We match student-level data from the SYEP program with educational records from the NYC...

Using every major nationally-representative dataset on parental and non-parental care provided to children up to age 6, we quantify differences in American children's care experiences by socioeconomic status (SES), proxied primarily with maternal education. Increasingly, higher-SES children...

We construct a dynamic model of child development where forward-looking parents and children jointly take actions to increase the child's cognitive and non-cognitive skills within a Markov Perfect Equilibrium framework. In addition to time and money investments in their child, parents also...