Economic Modeling and Inference / / Nicholas M. Kiefer, Bent Jesper Christensen.
Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, pa...
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Superior document: | Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
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Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2021] ©2009 |
Year of Publication: | 2021 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (488 p.) :; 19 line illus. 21 tables. |
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Table of Contents:
- Frontmatter
- Contents
- Preface
- Chapter One Introduction
- Chapter Two Components of a Dynamic Programming Model
- Chapter Three Discrete States and Controls
- Chapter Four Likelihood Functions for Discrete State/Control Models
- Chapter Five Random Utility Models
- Chapter Six Continuous States, Discrete Controls
- Chapter Seven Econometric Framework for the Search Model
- Chapter Eight Exact Distribution Theory for the Job Search Model
- Chapter Nine Measurement Error in the Prototypal Job Search Model
- Chapter Ten Asset Markets
- Chapter Eleven Financial Options
- Chapter Twelve Retirement
- Chapter Thirteen Continuous States and Controls
- Chapter Fourteen Continuous-Time Models
- Chapter Fifteen Microeconomic Applications
- Chapter Sixteen Macroeconomic Applications
- Chapter Seventeen Finance Application: Futures Hedging
- Chapter Eighteen Intertemporal Asset Pricing
- Chapter Nineteen Dynamic Equilibrium: The Search Model
- Chapter Twenty Dynamic Equilibrium: Search Equilibrium Extensions
- Appendix Brief Review of Statistical Theory
- References
- Index