Analysis of Economic Data has, over three editions, become firmly established as a successful textbook for students studying data analysis whose primary interest is not in econometrics, statistics or mathematics. It introduces students to basic econometric techniques and shows the reader how to apply these techniques in the context of real-world empirical problems. The book adopts a largely non-mathematical approach relying on verbal and graphical inuition and covers most of the tools used in modern econometrics research. It contains extensive use of real data examples and involves readers in hands-on computer work.…mehr
Analysis of Economic Data has, over three editions, become firmly established as a successful textbook for students studying data analysis whose primary interest is not in econometrics, statistics or mathematics.
It introduces students to basic econometric techniques and shows the reader how to apply these techniques in the context of real-world empirical problems. The book adopts a largely non-mathematical approach relying on verbal and graphical inuition and covers most of the tools used in modern econometrics research. It contains extensive use of real data examples and involves readers in hands-on computer work.
Gary Koop is Professor of Economics at the University of Strathclyde. He previously held professorial positions at the Universities of Toronto, Edinburgh, Glasgow and Leicester. He has also held academic posts at the University of Cambridge, the London School of Economics, Boston University and Queen's University, Canada. Gary is the associate editor of the Journal of Econometrics, Econometrics Reviews, the Journal of Empirical Finance, Studies in Nonlinear Dynamics and Econometrics and the Journal of Applied Econometrics. He is the author of: Introduction to Econometrics, Bayesian Econometrics and Analysis of Financial Data, all of which are published by Wiley.
Inhaltsangabe
Chapter 1 Introduction. Chapter 2 Basic Data Handling. Chapter 3 Correlation. Chapter 4 An Introduction to Simple Regression. Chapter 5 Statistical Aspects of Regression. Chapter 6 Multiple Regression. Chapter 7 Regression with Dummy Variables. Chapter 8 Several Limited Dependent Variable Models Chapter 9 Regression with Time Lags: Distributed Lag Models. Chapter 10 Univariate Time Series Analysis. Chapter 11Regression with Time Series Variables. Chapter 12 Applications of Time Series Methods in Macroeconomics and Finance. Chapter 13 Limitations and Extensions. Appendix A Writing an Empirical Project Appendix B Data Directory
Chapter 1 Introduction. Chapter 2 Basic Data Handling. Chapter 3 Correlation. Chapter 4 An Introduction to Simple Regression. Chapter 5 Statistical Aspects of Regression. Chapter 6 Multiple Regression. Chapter 7 Regression with Dummy Variables. Chapter 8 Several Limited Dependent Variable Models Chapter 9 Regression with Time Lags: Distributed Lag Models. Chapter 10 Univariate Time Series Analysis. Chapter 11Regression with Time Series Variables. Chapter 12 Applications of Time Series Methods in Macroeconomics and Finance. Chapter 13 Limitations and Extensions. Appendix A Writing an Empirical Project Appendix B Data Directory
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