This paper estimates the economic and non-economic returns to volunteering for prime-aged women. A woman's decision to engage in unpaid work, and to marry and have children, is formulated as a forward-looking discrete choice dynamic programming problem. Simulated maximum likelihood estimates of...

This paper studies the racial gap in the female wage penalty to remote work. Using a temporary child health problem as a source of exogenous variation in the propensity to work from home, wage penalties reach 86 percent for black women and 77 percent for white women. Promotion bias, task...

This paper has two main parts. In the first, we describe a method that smooths the objective function in a general class of indirect inference models. Our smoothing procedure makes use of importance sampling weights in estimation of the auxiliary model on simulated data. The importance sampling...

This paper has two main parts. In the first, we describe a method that smooths the objective function in a general class of indirect inference models. Our smoothing procedure makes use of importance sampling weights in estimation of the auxiliary model on simulated data. The importance sampling...

This paper estimates the economic and non-economic returns to volunteering for prime-aged women. A woman's decision to engage in unpaid work, and to marry and have children, is formulated as a forward-looking discrete choice dynamic programming problem. Simulated maximum likelihood estimates of...

This paper has two main parts. In the first, we describe a method that smooths the objective function in a general class of indirect inference models. Our smoothing procedure makes use of importance sampling weights in estimation of the auxiliary model on simulated data. The importance sampling...

Using data on American women and the health status of their children, this paper studies the effect of remote work on female earnings. Instrumental variables estimates, which exploit a temporary child health shock as exogenous variation in the propensity to work at home, yield an hourly wage...

This paper has two main parts. In the first, we describe a method that smooths the objective function in a general class of indirect inference models. Our smoothing procedure makes use of importance sampling weights in estimation of the auxiliary model on simulated data. The importance sampling...