It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.

In this two volume collection the editors have chosen a sample of some of the most essential and inspirational articles and papers for understanding revealed preference methods to value environmental amenities. The papers cover the gamut of methods that are typically classified as revealed preference approaches - including: recreation demand models, hedonic methods, and averting behavior methods, as well as efforts to combine stated and revealed preferences. While this collection is far from exhaustive, the editors have included papers they believe will represent the state of the art in the theory and application of revealed preference methods, contribute to development of the state of the art, or raise fundamental challenges and insights that will drive the research agenda in the coming years.

Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be of particular interest to data analysts, as arguments generally proceed from actual data rather than statistical theory, while the "Background Material" sections will interest statisticians studying the field. Over 750 references allow researchers to find the original sources for more details, and the "Computational Issues" sections provide sources for statistical software that use the methods discussed. Each chapter includes exercises with a heavily computational focus based upon the data sets used in the book, making it equally suitable as a textbook for a course in smoothing.

Kosorok’s brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can be used as research reference and textbook.

Modern labor economics has continued to grow and develop since the first volumes of this Handbook were published. The subject matter of labor economics continues to have at its core an attempt to systematically find empirical analyses that are consistent with a systematic and parsimonious theoretical understanding of the diverse phenomenon that make up the labor market. As before, many of these analyses are provocative and controversial because they are so directly relevant to both public policy and private decision making. In many ways the modern development in the field of labor economics continues to set the standards for the best work in applied economics.This volume of the Handbook has a notable representation of authors - and topics of importance - from throughout the world.