Mostly Harmless Econometrics
Joshua D. Angrist is the Ford Professor of Economics at the Massachusetts Institute of Technology and the winner of the 2021 Nobel Prize in Economics. Professor Jörn-Steffen Pischke teaches economics at the London School of Economics and Political Science.
Linear regression for statistical control, instrumental variables methods for natural experiment analysis, and differences-in-differences methods that exploit policy changes are the core methods in today's econometric toolkit. These techniques, according to the modern experimentalist paradigm, address clear causal questions such as: Do smaller classes increase learning? Should husbands who batter their wives be arrested? How much does education increase pay? Mostly Harmless Econometrics demonstrates how the fundamental tools of applied econometrics allow the data to speak for itself.
Mostly Harmless Econometrics covers important new extensions such as regression-discontinuity designs and quantile regression, as well as how to get standard errors right. Fancier econometric techniques, according to Joshua Angrist and Jörn-Steffen Pischke, are usually unnecessary and even dangerous. The applied econometric methods emphasized in this book are simple to apply and applicable to a wide range of contemporary social science fields.
- An irreverent look at the fundamentals of economics
- a focus on the tools most commonly used by applied researchers
- Regression-discontinuity designs, quantile regression, and standard errors are all covered in detail.
- There are numerous empirical examples.
- A concise and useful resource with numerous applications.
Author: Joshua David Angrist and Jörn-Steffen Pischke
Link to buy: https://www.amazon.com/dp/0691120358
Ratings: 4.7 out of 5 stars (from 478 reviews)
Best Sellers Rank: #90,289 in Books
#9 in Econometrics & Statistics
#16 in Economics (Books)
