000			01319nam a22001577a 4500
999			_c518219 _d518219
008			210830b ||||| |||| 00| 0 eng d
100			_aImbens, Guido W. _928685
245			_aPotential outcome and directed acyclic graph approaches to causality: Relevance for empirical practice in economics
260			_aJournal of Economic Literature
300			_a58(4), Dec, 2020: p.1129-1179
520			_aIn this essay I discuss potential outcome and graphical approaches to causality, and their relevance for empirical work in economics. I review some of the work on directed acyclic graphs, including the recent The Book of Why (Pearl and Mackenzie 2018). I also discuss the potential outcome framework developed by Rubin and coauthors (e.g., Rubin 2006), building on work by Neyman (1990 [1923]). I then discuss the relative merits of these approaches for empirical work in economics, focusing on the questions each framework answers well, and why much of the the work in economics is closer in spirit to the potential outcome perspective. – Reproduced
650			_aMultiple or Simultaneous Equation Models, Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models _928686
773			_aJournal of Economic Literature
906			_aECONOMICS
942			_cAR