View allAll Photos Tagged econometrics
Cervezartistas Brew House
Aaron Gutierrez
Georgina Muñoz
Roberto Gutiérrez
Gabriel Alejos
Aldo Cano
Mariana Gutiérrez
Héctor Martinez
James J. Heckman, the Henry Schultz Distinguished Service Professor in Economics at the University of Chicago, winds up to discuss the ambition of
Maximilian Kasy's paper "Who Wins, Who Loses? Tools for Distributional Policy Evaluation."
More info: bfi.uchicago.edu/events/interactions-bringing-together-ec...
Energy Policy Panel - Paul Forster - 2015 Australian Conference of Economics, Queensland University of Technology-Gardens Point Campus, Brisbane, July 09, 2015. Picture-Patrick Hamilton / Economic Society of Australia QLD 2015
The use of RCTs has a long history in economics, but has recently greatly expanded, particularly in economic development. Like other econometric methods, RCTs are often informative, but like other econometric methods, they have problems and pitfalls that are not always fully understood. Common misunderstandings include balance, standard errors and inference, and blinding. We argue that the concepts of internal and external validity as commonly used are unhelpful. We focus on how to use the results of RCTs, arguing that simple replication is rarely useful, but rather that the results of RCTs need to be combined with other knowledge and evidence, and used as part of a serious economic analysis. Examples are provided along the way.
This workshop was held with the aim of strengthening interaction between econometricians and economists engaged in applied research from all parts of economics, including labor economics, industrial organization and public economics. More info: bfi.uchicago.edu/events/interactions-bringing-together-ec...
Paul Klemperer - Eddeworth Professor of Economics, Oxford - 2015 Australian Conference of Economics, Queensland University of Technology-Gardens Point Campus, Brisbane, July 09, 2015. Picture-Patrick Hamilton / Economic Society of Australia QLD 2015
Amorphica Design Research Office
Table of Contents
List of Figures
List of Tables
Useful Commands for Stata
Useful Commands for R
Preface for Students: How This Book Can Help You Learn Econometrics
Preface for Instructors: How to Help Your Students Learn Econometrics
Acknowledgments
1 The Quest for Causality
The Core Model
Two Challenges: Randomness and Endogeneity
CASE STUDY: Flu Shots
CASE STUDY: Country Music and Suicides
Randomized Experiments as the Gold Standard
2 Stats in the Wild: Good Data Practices
2.1 Know Our Data
2.2 Replication
CASE STUDY: Violent Crime in the United States
2.3 Statistical Software
I The OLS FRAMEWORK
3 Bivariate OLS: The Foundation of Econometric Analysis
3.1 Bivariate Regression Model
3.2 Random Variation in Coefficient Estimates
3.3 Exogeneity and Unbiasedness
3.4 Precision of Estimates
3.5 Probability Limits and Consistency
3.6 Solvable Problems: Heteroscedasticity and Correlated Errors
3.7 Goodness of Fit
CASE STUDY: Height and Wages
3.8 Outliers
4 Hypothesis Testing and Interval Estimation: Answering Research Questions
4.1 Hypothesis Testing
4.2 t Tests
4.3 p Values
4.4 Power
4.5 Straight Talk about Hypothesis Testing
4.6 Confidence Intervals
5 Multivariate OLS: Where the Action Is
5.1 Using Multivariate OLS to Fight Endogeneity
5.2 Omitted Variable Bias
CASE STUDY: Does Education Support Economic Growth?
5.3 Measurement Error
5.4 Precision and Goodness of Fit
CASE STUDY: Institutions and Human Rights
5.5
idstudy.net/product/solution-manuals-for-real-econometric...