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Elements of Econometrics.

TL;DR: The Elements of Econometrics as mentioned in this paper is a textbook for upper-level undergraduate and master's degree courses and may usefully serve as a supplement for traditional Ph.D. courses in economics.
Abstract: This classic text has proven its worth in university classrooms and as a tool kit in research--selling over 40,000 copies in the United States and abroad in its first edition alone. Users have included undergraduate and graduate students of economics and business, and students and researchers in political science, sociology, and other fields where regression models and their extensions are relevant. The book has also served as a handy reference in the "real world" for people who need a clear and accurate explanation of techniques that are used in empirical research.Throughout the book the emphasis is on simplification whenever possible, assuming the readers know college algebra and basic calculus. Jan Kmenta explains all methods within the simplest framework, and generalizations are presented as logical extensions of simple cases. And while a relatively high degree of rigor is preserved, every conflict between rigor and clarity is resolved in favor of the latter. Apart from its clear exposition, the book's strength lies in emphasizing the basic ideas rather than just presenting formulas to learn and rules to apply.The book consists of two parts, which could be considered jointly or separately. Part one covers the basic elements of the theory of statistics and provides readers with a good understanding of the process of scientific generalization from incomplete information. Part two contains a thorough exposition of all basic econometric methods and includes some of the more recent developments in several areas.As a textbook, "Elements of Econometrics" is intended for upper-level undergraduate and master's degree courses and may usefully serve as a supplement for traditional Ph.D. courses in econometrics. Researchers in the social sciences will find it an invaluable reference tool.A solutions manual is also available for teachers who adopt the text for coursework.Jan Kmenta is Professor Emeritus of Economics and Statistics, University of Michigan.
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TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Abstract: In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.

34,720 citations

Journal ArticleDOI
TL;DR: In this article, the authors test whether firms that would benefit from import relief attempt to decrease earnings through earnings management during import relief investigations by the United States International Trade Commission (ITC).
Abstract: This study tests whether firms that would benefit from import relief (eg, tariff increases and quota reductions) attempt to decrease earnings through earnings management during import relief investigations by the United States International Trade Commission (ITC) The import relief determination made by the ITC is based on several factors that are specified in the federal trade acts, including the profitability of the industry Explicit use of accounting numbers in import relief regulation provides incentives for managers to manage earnings in order to increase the likelihood of obtaining import relief and/or increase the amount of relief granted While studies of earnings management typically examine situations in which all contracting parties have incentives to "perfectly" monitor (adjust) accounting numbers for such manipulation, import relief investigations provide a specific motive for earnings management that is not

7,362 citations

Journal ArticleDOI
TL;DR: The generalized least squares approach of Parks produces standard errors that lead to extreme overconfidence, often underestimating variability by 50% or more, and a new method is offered that is both easier to implement and produces accurate standard errors.
Abstract: We examine some issues in the estimation of time-series cross-section models, calling into question the conclusions of many published studies, particularly in the field of comparative political economy. We show that the generalized least squares approach of Parks produces standard errors that lead to extreme overconfidence, often underestimating variability by 50% or more. We also provide an alternative estimator of the standard errors that is correct when the error structures show complications found in this type of model. Monte Carlo analysis shows that these “panel-corrected standard errors” perform well. The utility of our approach is demonstrated via a reanalysis of one “social democratic corporatist” model.

5,670 citations

Journal ArticleDOI
TL;DR: In this article, the authors describe the role of relationship manager as the quality of the relationship between the salesperson and the customer, which is defined as "the quality of a salesperson's relationship with the customer".
Abstract: Salespeople involved in the marketing of complex services often perform the role of “relationship manager.” It is, in part, the quality of the relationship between the salesperson and the customer ...

4,414 citations