000			01972nam a22002057a 4500
005			20240319211449.0
008			240319b |||||||| |||| 00| 0 eng d
020			_a9780691120355
082			_a330.015195 _bANG
100			_aAngrist, Joshua D. _916509
245			_aMostly harmless econometrics: _ban empiricist's companion
260			_bPrinceton University Press _aNew Jersey _c2009
300			_axiii, 373 p.
365			_aUSD _b49.95
520			_aThe core methods in today’s econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak. In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions—regression-discontinuity designs and quantile regression—as well as how to get standard errors right. Joshua Angrist and Jörn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science. An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications (https://press.princeton.edu/books/paperback/9780691120355/mostly-harmless-econometrics)
650			_aEconometrics _915118
650			_aRegression analysis _915047
700			_aPischke, Jorn-Steffen _916510
942			_cBK _2ddc
999			_c6707 _d6707