One of the only places where environmental quality is traded on explicit markets is real
estate. There are several techniques that can be used to study the effects of environmental …

Publisher Summary This chapter discusses classical estimation methods for limited
dependent variable (LDV) models that employ Monte Carlo simulation techniques to …

The paper examines the opportunities in and possibilities arising from big data in retailing,
particularly along five major data dimensions—data pertaining to customers, products …

Technology has facilitated new, nontraditional work arrangements, including the ride-
sharing company Uber. Uber drivers provide rides anytime they choose. Using data on …

In this article, we introduce the BART R package which is an acronym for Bayesian additive
regression trees. BART is a Bayesian nonparametric, machine learning, ensemble …

Prior research indicates that search practices are an important part of the innovation
process. But where established firms search for different innovation types is not clear …

A comprehensive overview of Monte Carlo simulation that explores the latest topics,
techniques, and real-world applications More and more of today's numerical problems found …

This book describes the new generation of discrete choice methods, focusing on the many
advances that are made possible by simulation. Researchers use these statistical methods …

The Gibbs sampler, the algorithm of Metropolis and similar iterative simulation methods are
potentially very helpful for summarizing multivariate distributions. Used naively, however …

This book provides the most comprehensive treatment to date of microeconometrics, the
analysis of individual-level data on the economic behavior of individuals or firms using …