This paper provides estimators of discrete choice models, including binary, ordered, and multinomial response (choice) models. The estimators closely resemble ordinary and two stage least squares. The distribution of the model's latent variable error is unknown and may be related to the...

This paper considers identification and estimation of the marginal effect of a mismeasured binary regressor in a nonparametric regression, or the conditional average effect of a binary treatment or policy on some outcome where treatment may be misclassified. Misclassification probabilities and...

I develop a tractable, two-country, real model of macroeconomic interdependence with a role for net foreign asset dynamics. Absence of Ricardian equivalence in an overlapping generations structure ensures existence of a well-defined, endogenously determined, steady-state, international...

We compare the performance of a currency board arrangement, inflation targeting, and dollarization in a small open, developing economy with liberalized capital account. We focus explicitly on the transmission of shocks to currency and country risk premia in international financial markets and on...

We discuss the relative advantages and disadvantages of four types of convenient estimators of binary choice models when regressors may be endogenous or mismeasured, or when errors are likely to be heteroskedastic. For example, such models arise when treatment is not randomly assigned and...

We show how to relate the welfare of a country's infinitely-lived representative consumer to observable aggregate data. To a first order, welfare is summarized by total factor productivity and by the capital stock per capita. These variables suffice to calculate welfare changes within a country,...

This paper provides a few variants of a simple estimator for binary choice models with endogenous or mismeasured regressors, or with heteroskedastic errors, or with panel fixed effects. Unlike control function methods, which are generally only valid when endogenous regressors are continuous, the...

Consider an observed binary regressor D and an unobserved binary variable D*, both of which affect some other variable Y. This paper considers nonparametric identification and estimation of the effect of D on Y, conditioning on D*=0. For example, suppose Y is a person's wage, the unobserved D*...

This paper provides a few variants of a simple estimator for binary choice models with endogenous or mismeasured regressors, or with heteroskedastic errors. Unlike control function methods, which are generally only valid when endogenous regressors are continuous, the estimators proposed here can...