Estimation of average treatment effects under unconfoundedness or exogenous treatment assignment is often hampered by lack of overlap in the covariate distributions. This lack of overlap can lead to imprecise estimates and can make commonly used estimators sensitive to the choice of...

This paper presents a simple framework for testing the specification of parametric conditional means. The test statistics are based on quadratic forms in the residuals of the null model. Under general assumptions the test statistics are asymptotically normal under the null. With an appropriate...

The problem of how to control for covariates is endemic in evaluation research. Covariate-matching provides an appealing control strategy, but with continuous or high-dimensional covariate vectors, exact matching may be impossible or involve small cells. Matching observations that have the same...

Despite the solid theoretical foundation on which the gravity model of bilateral trade is based, empirical implementation requires several assumptions which do not follow directly from the underlying theory. First, unobserved trade costs are assumed to be a (log-) linear function of observables....

In this paper we reexamine the linkages between output growth and real stock price changes for the G7 countries using a battery of non-parametric procedures to account for the impact of long-lagged observations. We find that correlation between growth and returns is detected at larger horizons...

This paper presents an equilibrium asset pricing model with incomplete information on returns and agents' utility. Only some moments of the returns distributions are observable, and investors associate a return's riskness to the time required for its mean to converge around its expectation,...

Household surveys are often plagued by item non-response on economic variables of interest like income, savings or the amount of wealth. Manski (1989, 1994, 1995) shows how, in the presence of such non-response, bounds on conditional quantiles of the variable of interest can be derived, allowing...

Many common statistical models can be specified as linear models with restrictions imposed on the parameters. A large amount of these models impose restrictions which do not allow for the analytical construction of the probability density function (pdf) of the parameters given the restrictions....

Nous etudions des familles de distributions bivariees du revenu et de l'age, mais aussi du statut professionnel par l'intermediaire de leurs densites marginales et conditionnelles sur plusieurs annees. Un concept d'invariance est introduit afin de decrire l'evolution dans le temps de ces...

In this paper, it is shown, in the general case, that a multiple causes death model is equivalent to a competing independent risks model.