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A classic treatise that defined the field of applied demand analysis, Consumer Demand in the United States: Prices, Income, and Consumption Behavior is now fully updated and expanded for a new generation. Consumption expenditures by households in the United States account for about 70% of America’s GDP. The primary focus in this book is on how households adjust these expenditures in response to changes in price and income. Econometric estimates of price and income elasticities are obtained for an exhaustive array of goods and services using data from surveys conducted by the Bureau of Labor Statistics and aggregate consumption expenditures from the National Income and Product Accounts, providing a better understanding of consumer demand. Practical models for forecasting future price and income elasticities are also demonstrated. Fully revised with over a dozen new chapters and appendices, the book revisits the original Houthakker-Taylor models while examining new material as well, such as the use of quantile regression and the stationarity of consumer preference. It also explores the emerging connection between neuroscience and consumer behavior, integrating the economic literature on demand theory with psychology literature. The most comprehensive treatment of the topic to date, this volume will be an essential resource for any researcher, student or professional economist working on consumer behavior or demand theory, as well as investors and policymakers concerned with the impact of economic fluctuations.

Macroeconomics --- Quantitative methods (economics) --- Marketing --- marketing --- macro-economie --- econometrie

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Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming the reader has any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research. The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared. Included are new results relevant to medians, regression, measures of association, strategies for comparing dependent groups, methods for dealing with heteroscedasticity, and measures of effect size. Rand Wilcox is a professor of psychology at the University of Southern California. He is a fellow of the Royal Statistical Society and the Association for Psychological Science. Dr. Wilcox currently serves as an associate editor of Computational Statistics & Data Analysis, Communications in Statistics: Theory and Methods, Communications in Statistics: Simulation and Computation, and Psychometrika. He has published more than 280 articles in a wide range of statistical journals and he is the author of six other books on statistics.

Sociology --- Statistical science --- Law --- Mathematical statistics --- Business economics --- wetgeving --- statistiek --- econometrie --- Mathematical statistics.

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Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This second edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, it places a greater emphasis on measurement models, and includes new chapters and sections on: confirmatory factor analysis canonical correlation analysis cluster analysis analysis of covariance structure multi-group confirmatory factor analysis and analysis of covariance structures Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods and to learn how they can be applied using widely available statistical software.

Sociology --- Statistical science --- Quantitative methods (economics) --- Law --- Mathematical statistics --- Business economics --- wetgeving --- statistiek --- econometrie --- statistisch onderzoek

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Quantitative methods in social research --- Mathematical statistics --- Social sciences --- Statistical methods --- AA / International- internationaal --- 303.0 --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Social sciences - Statistical methods

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Unemployment --- Wages --- AA / International- internationaal --- 332.20 --- 305.94 --- 305.95 --- 332.620 --- 338.021 --- Bezoldiging van de arbeid: algemeenheden. --- Econometrie van de arbeidsmarkt, de werkgelegenheid en de werkloosheid. --- Econometrie van de lonen en de prijzen (inflatie). --- Werkloosheid: algemeenheden. Philipscurve. --- Theorie van de lonen. --- Bezoldiging van de arbeid: algemeenheden --- Econometrie van de arbeidsmarkt, de werkgelegenheid en de werkloosheid --- Econometrie van de lonen en de prijzen (inflatie) --- Werkloosheid: algemeenheden. Philipscurve --- Theorie van de lonen