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Hans SchneeweiB is- one of the best-known German econometricians and statisticians. He was born in Glatz, Silesia, on March 13, 1933. Hans SchneeweiB studied mathematics and physics and received his Ph. D. degree from the Johann-Wolfgang-Goethe University, Frankfurt, in 1960. He was member of the academic staff of the Faculty of Law and Economics of the Saar University between 1959 and 1965. Following his Habilitation in 1964, he was appointed to the chair of Statistics and Econometrics at the same university.
This book explores the dynamic processes in economic systems, concentrating on the extraction and use of the natural resources required to meet economic needs. Sections cover methods for dynamic modeling in economics, microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models. This book does not require a substantial background in mathematics or computer science.
This book aims to fill the gaps in the typical student’s mathematical training to the extent relevant for the study of econometrics. In most cases, proofs are provided and there is a verbal discussion of certain mathematical results.From the reviews of the third edition: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "This is an appropriate text for graduate students and researchers in econometrics who want a quick introduction to the necessary mathematics or those who wish to review the material.&
For sometime now, I felt that the evolution of the literature of econo metrics had mandated a higher level of mathematical proficiency. This is particularly evident beyond the level of the general linear model (GLM) and the general linear structural econometric model (GLSEM). The problems one encounters in nonlinear econometrics are not easily amenable to treatment by the analytical methods one typically acquires, when one learns about probability and inference through the use of den sity functions.
This book is intended for second year graduate students and professionals who have an interest in linear and nonlinear simultaneous equations mod els. It basically traces the evolution of econometrics beyond the general linear model (GLM), beginning with the general linear structural econo metric model (GLSEM) and ending with the generalized method of mo ments (GMM). Thus, it covers the identification problem (Chapter 3), maximum likelihood (ML) methods (Chapters 3 and 4), two and three stage least squares (2SLS, 3SLS) (Chapters 1 and 2), the general nonlinear model (GNLM) (Chapter 5), the general nonlinear simultaneous equations model (GNLSEM), the special ca’3e of GNLSEM with additive errors, non linear two and three stage least squares (NL2SLS, NL3SLS), the GMM for GNLSEIVl, and finally ends with a brief overview of causality and re lated issues, (Chapter 6).
The approach of this text is to teach monetary economics using the classical paradigm of rational agents in a market setting. Too often monetary economics has been taught as a collection of facts about existing institutions for students to memorize. By teaching from first principles instead, the authors aim to instruct students not only in the monetary policies and institutions that exist today in the United States and Canada, but also in what policies and institutions may or should exist tomorrow and elsewhere.
Are there practical solutions to the many global challenges—climate change, poverty, insufficient healthcare—that threaten our way of life? Author John Thackara has spent a lifetime roving the globe in search of design that serves human needs. In this clear-eyed but ultimately optimistic book, he argues that, in our eagerness to find big technological solutions, we have all too often ignored the astonishing creativity generated when people work together and in harmony with the world around them.D
A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. This companion focuses on the foundations of the field and at the same time integrates popular topics often encountered by practitioners. The chapters are written by international experts and provide up-to-date research in areas not usually covered by standard econometric texts. – Focuses on the foundations of econometrics. – Integrates real-world topics encountered by professionals and practitioners.
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.
Getting accurate data on less developed countries has created great problems for studying these areas. Yet until recently students of development economics have relied on standard econometrics texts, which assume a Western context. Econometrics and Data Analysis for Developing Countries solves this problem. It will be essential reading for all advanced students of development economics.
Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics.
The analysis, prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven partly by the need to analyze financial data. The five papers in this book describe those new developments from various viewpoints and are intended to be an introduction accessible to readers from a range of backgrounds. The book arises out of the second Seminaire European de Statistique (SEMSTAT) held in Oxford in December 1994. This brought together young statisticians from across Europe, and a series of introductory lectures were given on topics at the forefront of current research activity.
A much-needed study of the ins and outs of negotiationH. Peyton Young has brought together the foremost experts from a variety of disciplines that have a bearing on negotiation analysis. Using techniques and examples drawn from fields including game theory, decision theory, economics, and experimental psychology, the contributors to Negotiation Analysis emphasize careful, systematic thinking about the negotiation process and show how recent work in these areas lends insight into an activity that plays such a central role in modern business, diplomacy, politics, and the law.
Cecchetti & Schoenholtz’s Money, Banking, and Financial Markets stays relevant and interesting through the text’s unique emphasis on the Five Core Principles, the early introduction of risk, an integrated global perspective, and the integration of FRED data in the text and problem material. By focusing on the big picture via core principles, Cecchetti & Schoenholtz teaches students the rationale for financial rules and institutional structure so that even when the financial system evolves, students’ knowledge will not be out of date.
Baye and Prince’s bestselling Managerial Economics and Business Strategy provides a complete solution designed to help students use tools from intermediate microeconomics, game theory, and industrial organization to make sound managerial decisions.
Showing 313–327 of 327 results