A long literature has developed econometric methods for estimating individual-consumer-level demand systems that accommodate corner solutions. The increasing access to transaction-level customer purchase histories across a wide array of markets and industries vastly expands the prospect for improved customer insight, more targeted marketing policies and individualized welfare analysis. A descriptive analysis of a broad, CPG database indicates that most consumer brand categories offer a wide variety of differentiated offerings for consumers. However, consumers typically purchase only a limited scope of the available variety, leading to a very high incidence of corner solutions which poses computational challenges for demand modeling. Historically, these computational challenges have limited the applicability of microeconometric models of demand in practice, except for the special case of pure discrete choice (e.g., logit and probit). Recent advances in computing power along with methods for numerical and simulation-based integration have been instrumental in facilitating the broader use of these models in practice. We survey herein the extant literature on the neoclassical derivation of microeconometric demand models that allow for corner solutions and differentiated products. We summarize the key developments in the literature, including the role of consumers' price expectations, and point towards opportunities for future research.

This advanced economics text bridges the gap between familiarity with microeconomic theory and a solid grasp of the principles and methods of modern neoclassical microeconomic theory.

The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Kuh (1959), Mundlak (1961), Hoch (1962), and Balestra and Nerlove (1966), the pooling of cross section and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone. Over the last 30 years much work has been done: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific diffi culties associated with the use of panel data, such as attrition, heterogeneity, selectivity bias, pseudo panels etc., have also been explored. The first objective of this book, which takes up Parts I and II, is to give as complete and up-to-date a presentation of these theoretical developments as possible. Part I is concerned with classical linear models and their extensions; Part II deals with nonlinear models and related issues: logit and probit models, latent variable models, incomplete panels and selectivity bias, and point processes.

Contained in this volume are the edited and refereed papers which were presented at a conference held at Nuffield College, Oxford in May 1987. The papers, which represent the recent research of a group of eminent economists, reflect the variety and scope of modern economic analysis. New results are presented in econometric estimation, the theory of aggregation, poverty measurement and the general theory of measurement in economics. The volume is distinguished by the inclusion of the discussion which occurred as each paper was presented, so capturing the interaction and exchange of ideas that characterised the conference.

Longitudinal Analysis of Labor Market Data presents a set of papers by leading scholars on methods for analysing the longitudinal data that is available on numerous topics of interest to social scientists. Because many sources of longitudinal data record labour market phenomena such as unemployment, labour supply, earnings mobility, job turnover and participation in training programmes, all of the papers collected in this volume focus on models of the labour market. The main methodological points, however, are more general and apply to such diverse areas as demography, life science analysis and training evaluation, to name only a few, potential avenues of application. The book contains important methodological contributions to the emerging field of longitudinal analysis and is of interest to a wide range of social scientists.