Nonparametric estimators provide a flexible means of uncovering salient features of auction data. Although these estimators are popular in the literature, many key features necessary for proper implementation have yet to be uncovered. Here we provide several suggestions for nonparamteric...

This paper relaxes the assumption of homogeneous rates of return to schooling by employing nonparametric kernel regression. This approach allows us to examine the differences in rates of return to education both across and within groups. Similar to previous studies we find that on average blacks...

Following an identification strategy that allows us to largely eliminate unobserved student and teacher traits, we examine the effect of homework on math, science, English and history test scores for eighth grade students in the United States. Noting that failure to control for these effects...

Using nonparametric, production-frontier methods, we decompose labor productivity growth into components attributable to technological change (shifts in the world production frontier), technological catch-up (movements toward or away from the frontier), and physical and human capital...

We propose a complete framework for model-free difference-in-differences analysis with covariates, where model-free means data-driven, in particular nonparametric estimation and testing, variable and scale choice. We start with searching for the preferred data setup by simultaneously choosing...

This paper uses nonparametric kernel methods to construct observation-specific elasticities of substitution for a balanced panel of 73 developed and developing countries to examine the capital-skill complementarity hypothesis. The exercise shows some support for capital-skill complementarity,...

We propose a complete framework for model-free difference-in-differences analysis with covariates, where model-free means data-driven, in particular nonparametric estimation and testing, variable and scale choice. We start with searching for the preferred data setup by simultaneously choosing...

Utilizing parametric and nonparametric techniques, we asses the role of a heretofore relatively unexplored 'input' in the educational process, homework, on academic achievement. Our results indicate that homework is an important determinant of student test scores. Relative to more standard...

This paper proposes feasible nonparametric random effects estimators. Specifically, we propose feasible versions of the two estimators in Lin and Carroll (2000) and a modified version of the random effects estimator in Ullah and Roy (1998). Further, the consistency properties of these estimators...