In this paper we analyze the relevance of characteristics of the income distribution in an aggregate consumption relation. In particular, we use a statistical distributional approach toward aggregation in order to model the aggregate consumption relation of a heterogeneous population, and apply...

This paper explores the empirical content of the weak axiom of revealed preference (WARP) for repeated cross-sections. In a heterogeneous population, the fraction of consumers who violate WARP is not point identified but can be bounded. These bounds, as well as some nonparametric refinements,...

This paper is concerned with testing rationality restrictions using quantile regression methods. Specifically, we consider negative semidefiniteness of the Slutsky matrix, arguably the core restriction implied by utility maximization. We consider a heterogeneous population characterized by a...

Meta-analysis refers to the statistical analysis of empirical estimates obtained in previous studies, and is increasingly used in environmental and natural resource economics as a complement to a state-of-the-art literature review. The occurrence of dependence or auto-correlation among study...

Meta-analysis refers to the statistical analysis of empirical estimates obtained in previous studies, and is increasingly used in environmental and natural resource economics as a complement to a state-of-the-art literature review. The occurrence of dependence or auto-correlation among study...

We consider the problem of testing whether the observations X1, ..., Xn of a time series are independent with unspecified (possibly nonidentical) distributions symmetric about a common known median. Various bounds on the distributions of serial correlation coefficients are proposed: exponential...

We consider the problem of testing whether the observations X1, ..., Xn of a time series are independent with unspecified (possibly nonidentical) distributions symmetric about a common known median. Various bounds on the distributions of serial correlation coefficients are proposed: exponential...

In this paper, we consider sieve instrumental variable quantile regression (IVQR) estimation of functional coefficient models where the coefficients of endogenous regressors are unknown functions of some exogenous covariates. We approximate the unknown functional coefficients by some basis...