Meta-analysis has become an indispensable tool for reaching accurate and representative conclusions about phenomena of interest within a research literature. However, in order for meta-analytic computations to provide accurate estimates of population parameters (e.g., a population correlation), underlying statistical models need to be both efficient and unbiased. Current fixed-effect (i.e., con...

If F is a family of graphs containing a bipartite graph, then for some δ > 0, ex(n,F) < n2−δ by the Kövari-Sós-Turán Theorem. Erdős and Simonovits [5] conjectured that for every finite family graph F of graphs, there exists α = α(F) such that ex(n,F) = Θ(nα). This α is called the exponent of F . If F is a bipartite graph containing a cycle, then in general it is not known if F = {F} has an expo...

A version of the secretary problem in which the objective is to maximize the time of possession of a relatively best object is treated. The basic no-information model is related to the Presman-Sonin best-choice problem with a random number of objects. A best-choice duration model similar to one suggested by Gaver is also solved. Extensions to models with a discount, to full-information models, ...

We describe a simple and yet surprisingly powerful probabilistic technique which shows how to find in a dense graph a large subset of vertices in which all (or almost all) small subsets have many common neighbors. Recently this technique has had several striking applications to Extremal Graph Theory, Ramsey Theory, Additive Combinatorics, and Combinatorial Geometry. In this survey we discuss so...

We consider quantile autoregression (QAR) models in which the autoregressive coefficients can be expressed as monotone functions of a single, scalar random variable. The models can capture systematic influences of conditioning variables on the location, scale and shape of the conditional distribution of the response, and therefore constitute a significant extension of classical constant coeffic...

The random coefficients multinomial choice logit model, also known as the mixed logit, has been widely used in empirical choice analysis for the last thirty years. We prove that the distribution of random coefficients in the multinomial logit model is nonparametrically identified. Our approach requires variation in product characteristics only locally and does not rely on the special regressors...

This paper formulates an empirical discrete land-use model within a spatially explicit economic structural framework for land-use change decisions. The underlying framework goes beyond mechanistic fitting models for the spatial process of land use change to more closely link landowner decision behavior to land use patterns. At the same time, the paper explicitly considers spatial “spillover” ef...