Book contents
- Frontmatter
- Contents
- Contributors
- Editors’ Note
- 1 Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data
- 2 Is Big Data a Big Deal for Applied Microeconomics?
- 3 Low-Frequency Econometrics
- 4 Shocks, Sign Restrictions, and Identification
- 5 Macroeconometrics – A Discussion
- 6 On the Distribution of the Welfare Losses of Large Recessions
- 7 Computing Equilibria in Dynamic Stochastic Macro-Models with Heterogeneous Agents
- 8 Recent Advances in Empirical Analysis of Financial Markets: Industrial Organization Meets Finance
- 9 Practical and Theoretical Advances in Inference for Partially Identified Models
- 10 Partial Identification in Applied Research: Benefits and Challenges
- Index
Contributors
Published online by Cambridge University Press: 27 October 2017
Book contents
- Frontmatter
- Contents
- Contributors
- Editors’ Note
- 1 Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data
- 2 Is Big Data a Big Deal for Applied Microeconomics?
- 3 Low-Frequency Econometrics
- 4 Shocks, Sign Restrictions, and Identification
- 5 Macroeconometrics – A Discussion
- 6 On the Distribution of the Welfare Losses of Large Recessions
- 7 Computing Equilibria in Dynamic Stochastic Macro-Models with Heterogeneous Agents
- 8 Recent Advances in Empirical Analysis of Financial Markets: Industrial Organization Meets Finance
- 9 Practical and Theoretical Advances in Inference for Partially Identified Models
- 10 Partial Identification in Applied Research: Benefits and Challenges
- Index
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- Advances in Economics and EconometricsEleventh World Congress, pp. viii - xPublisher: Cambridge University PressPrint publication year: 2017