![]() Identification and inference in nonlinear difference in differences models. In the (possibly counterfactual) absence of intervention, the expected outcome is:Į(Y_i(0)) = \alpha +\beta\, T_i + \gamma\, G_i \quad \quad \quad \quad (2) Where \(\tau\) is the DID, to be estimated by least squares regression. Lastwechsel, nderung der mechanischen Spannung, siehe Mechanische Spannung. Lastwechsel, dynamische Beanspruchung von Bauteilen, siehe Betriebsfestigkeit. Lastwechsel bei Vernderung der Wrmeleistung im Kraftwerksbetrieb, siehe Laststeuerung. \(Y_i(1)\) is the possibly counterfactual, response if person \(i\) got the intervention.Į(Y_i) = \alpha +\beta\, T_i + \gamma\, G_i + \tau \,G_i T_i \quad \quad \quad \quad (1) Ein professioneller Radwechsel in einer Meisterwerkstatt von ATU bietet Ihnen größtmögliche Sicherheit. Lastwechsel in der Fahrdynamik, siehe Lastwechselreaktion. In the (possibly counterfactual) presence of intervention, the expected outcome is: E ( Y i ( 1)) E ( Y i ( 0)) + ( 3) Now, ATT is the expected difference in Y i ( 0) Y i ( 1) for those treated by time 1, i.e. ![]() \(Y_i(0)\) is the, possibly counterfactual, response of person \(i\) in the absence of intervention. See Athey and Imbens (2006).ĭefinitions: \(i\) indexes individuals Group \(G_i = 0,1\) time \(T_i =0,1\). Here's the proof that plain DID (no reweighting, no predictive margins) estimates ATT.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |