sercdp0172

AHLFELDT / FEDDERSEN –FROM PERIPHERY TO CORE 9Tab. A4.Treatment effects on GDP by treated county(1) (2) (3) (4) (5) (6)Log GDPBonn Koblenz WiesbadenControl group Non-treat. Synthetic Non-treat. Synthetic Non-treat. SyntheticTREAT x (YEAR>2002)[θ]0.041 ***(0.006)0.039(0.030)-0.051 ***(0.006)0.017(0.073)-0.043 ***(0.006)-0.003(0.068)TREAT x (YEAR>2002)x (YEAR-2003) [θ P ]-0.013 **(0.004)-0.022 *(0.010)0.032 ***(0.008)Cumulated effect 0.002 -0.049 0.097after 3 years (0.041) (0.092) (0.091)Cumulated effect -0.035 -0.110 0.207after 6 years (0.052) (0.116) (0.115)County Effects YES YES YES YES YES YESYear Effects YES YES YES YES YES YESConstr. years x T NO YES NO YES NO YEST x (YEAR-2003) NO YES NO YES NO YESr2 0.997 1.000 0.997 1.000 0.997 1.000N 1998 36 1998 36 1998 36Notes: Standard errors in parentheses are robust in (2), (4) and (6) and clustered on counties in (1), (3),and (5). T is a 0,1 indicator variable indexing the placebo treated counties. Cumulated effects co m-puted as exp (θ̂ + θ̂ P × (t − 2003)) − 1. Cumulated standard errors computed as exp(var(θ̂) +(t − 2003) 2 × var(θ̂ P ) + 2 × (t − 2003) × cov(θ̂, θ̂ P )) − 1. Constr, years x T indicates treatment T x2002year n interaction terms ∑n=1998 θ n [T i × (t = n)] . * p < 0.1, ** p < 0.05, *** p < 0.01.Tab. A5.Treatment effect on other economic outcomes(1) (2) (3) (4) (5) (6)LogGDP/workerLog WorkplaceemploymentLog ResidenceemploymentLog populationLog No ofincommutersLog No ofoutcommutersControl groupSynthetic countiesT x (YEAR>2002)[θ]0.126(0.068)-0.083(0.070)-0.008(0.030)0.011(0.014)-0.037(0.142)0.068(0.049)T x (YEAR>2002) x(YEAR-2003) [θ P ]0.012(0.022)-0.009(0.008)-0.001(0.005)0.000(0.003)-0.005(0.018)-0.005(0.007)Cumulated effect 0.176 -0.103 -0.011 0.012 -0.050 0.056after 3 years (0.139) (0.096) (0.045) (0.022) (0.213) (0.065)Cumulated effect 0.218 -0.126 -0.014 0.013 -0.064 0.041after 6 years (0.215) (0.120) (0.060) (0.031) (0.279) (0.082)County Effects YES YES YES YES YES YESYear Effects YES YES YES YES YES YESConstr. years x T YES YES YES YES YES YEST x (YEAR-2003) YES YES YES YES YES YESr2 0.921 0.999 1.000 1.000 0.997 0.998N 102 102 102 120 96 96Notes: Standard errors in parentheses are clustered on counties. T is a 0,1 indicator variable indexing thetreated counties. Cumulated effects computed as exp (θ̂ + θ̂ P × (t − 2003)) − 1. Cumulated standarderrors computed as exp(var(θ̂) + (t − 2003) 2 × var(θ̂ P ) + 2 × (t − 2003) × cov(θ̂, θ̂ P )) − 1. Constr,2002years x T indicates treatment T x year n interaction terms ∑n=1998 θ n [T i × (t = n)] . * p < 0.1, ** p