Introduction to Estimating Economic Models
✍ Scribed by Atsushi Maki
- Publisher
- Routledge
- Year
- 2011
- Tongue
- English
- Leaves
- 223
- Series
- Routledge Advanced Texts in Economics and Finance
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
The book's comprehensive coverage on the application of econometric methods to empirical analysis of economic issues is impressive. It uncovers the missing link between textbooks on economic theory and econometrics and highlights the powerful connection between economic theory and empirical analysis perfectly through examples on rigorous experimental design. The use of data sets for estimation derived with the Monte Carlo method helps facilitate the understanding of the role of hypothesis testing applied to economic models. Topics covered in the book are: consumer behavior, producer behavior, market equilibrium, macroeconomic models, qualitative-response models, panel data analysis and time-series analysis. Key econometric models are introduced, specified, estimated and evaluated. The treatment on methods of estimation in econometrics and the discipline of hypothesis testing makes it a must-have for graduate students of economics and econometrics and aids their understanding on how to estimate economic models and evaluate the results in terms of policy implications.
✦ Table of Contents
Title......Page 4
Copyright......Page 5
Contents......Page 8
Figures......Page 10
Tables......Page 12
Preface......Page 16
1 Introduction......Page 20
2 Consumer behavior......Page 29
3 Producer behavior......Page 70
4 Market equilibrium models......Page 98
5 Macroeconomic models......Page 130
6 Microeconomic analysis using micro-data: Qualitative-response models......Page 161
7 Microeconomic analysis using panel data......Page 186
8 Macroeconomic time-series analysis......Page 200
9 Summary and conclusion......Page 216
Index......Page 217
✦ Subjects
Финансово-экономические дисциплины;Математические методы и моделирование в экономике;
📜 SIMILAR VOLUMES
<p>This book, developed from a set of lecture notes by Professor Kamen, and since expanded and refined by both authors, is an introductory yet comprehensive study of its field. It contains examples that use MATLAB<SUP>®</SUP> and many of the problems discussed require the use of MATLAB<SUP>®</SUP>.
<p><P>Methods of nonparametric estimation are located at the core of modern statistical science. The aim of this book is to give a short but mathematically self-contained introduction to the theory of nonparametric estimation. The emphasis is on the construction of optimal estimators; therefore the
<p><P>We live in the information age. Statistical surveys are used every day to determine or evaluate public policy and to make important business decisions. Correct methods for computing the precision of the survey data and for making inferences to the target population are absolutely essential to
We live in the information age. Statistical surveys are used every day to determine or evaluate public policy and to make important business decisions. Correct methods for computing the precision of the survey data and for making inferences to the target population are absolutely essential to sound