RESET $ ? ******************************************************************** ? ? Sept 28, 2005 ? ? REStud ? Au and Henderson, "Are Chinese Cities Too Small?" ? LIMDEP program for regressions in Table 2 ? ? Prefecture level cities 1997 on 1990 instruments ? ? 1. Table 2, 1st Col. - IV Estimation, structural model ? 2. Table 2, 2nd Col. - Ordinary NLLS, structural model ? ? ******************************************************************** READ; File = restud.xls ; Format = XLS ; Names ; Nvar = 27 ; Nobs = 205 $ CREATE; rysna = 1/(1+ryms) ; area9015 = area90^(1.5) ; ms90ar90 = ryms90*area90 $ TYPE; -------------------------------------------------------------------- $ TYPE; 1. Table 2, 1st Col. - IV Estimation, structural model TYPE; -------------------------------------------------------------------- $ NLSQ; Lhs = lnyna ; Fcn = constant + a0*lnk + a1*log(lna-a2*(lna^1.5)) + a3*rysna*log(lna-a2*(lna^1.5)) + _pshs90*pshs90 + _rfdlnaN*rfdlnaN + _lmp6976*lmp6_976 + _tint6M6*tcint6M6 ; Labels = constant, a0, a1, a2, a3, _pshs90, _rfdlnaN, _lmp6976, _tint6M6 ; Start = .2, .40, 1.1, -.15, -.05, .007, 1.0, .5, 4 ; Inst = ONE,area90,book90,doctor90,tel90,lnroad90,drw,drc,agn90, lnrkl90,nofdi90,lnisiv90,ms90ar90,rfdlN90,lmp6_906,tnt6M906, pshs90,area9015 ; Res = residual $ TYPE; First stage regressions $ REGRESS; Lhs = lnk ; Rhs = ONE,area90,book90,doctor90,tel90,lnroad90,drw,drc,agn90, lnrkl90,nofdi90,lnisiv90,ms90ar90,rfdlN90,lmp6_906,tnt6M906, pshs90,area9015 $ REGRESS; Lhs = lna ; Rhs = ONE,area90,book90,doctor90,tel90,lnroad90,drw,drc,agn90, lnrkl90,nofdi90,lnisiv90,ms90ar90,rfdlN90,lmp6_906,tnt6M906, pshs90,area9015 $ REGRESS; Lhs = rysna ; Rhs = ONE,area90,book90,doctor90,tel90,lnroad90,drw,drc,agn90, lnrkl90,nofdi90,lnisiv90,ms90ar90,rfdlN90,lmp6_906,tnt6M906, pshs90,area9015 $ TYPE; Note: *** pshs90 is a regressor as well as an instrument *** $ TYPE; $ REGRESS; Lhs = rfdlnaN ; Rhs = ONE,area90,book90,doctor90,tel90,lnroad90,drw,drc,agn90, lnrkl90,nofdi90,lnisiv90,ms90ar90,rfdlN90,lmp6_906,tnt6M906, pshs90,area9015 $ REGRESS; Lhs = lmp6_976 ; Rhs = ONE,area90,book90,doctor90,tel90,lnroad90,drw,drc,agn90, lnrkl90,nofdi90,lnisiv90,ms90ar90,rfdlN90,lmp6_906,tnt6M906, pshs90,area9015 $ REGRESS; Lhs = tcint6M6 ; Rhs = ONE,area90,book90,doctor90,tel90,lnroad90,drw,drc,agn90, lnrkl90,nofdi90,lnisiv90,ms90ar90,rfdlN90,lmp6_906,tnt6M906, pshs90,area9015 $ TYPE; -------------------------------------------------------------------- $ TYPE; Residual regression on instruments $ REGRESS; Lhs = residual ; Rhs = ONE,area90,book90,doctor90,tel90,lnroad90,drw,drc,agn90, lnrkl90,nofdi90,lnisiv90,ms90ar90,rfdlN90,lmp6_906,tnt6M906, pshs90,area9015 $ TYPE; -------------------------------------------------------------------- $ TYPE; 2. Table 2, 2nd Col. - Ordinary NLLS, structural model TYPE; -------------------------------------------------------------------- $ NLSQ; Lhs = lnyna ; Fcn = constant + a0*lnk + a1*log(lna-a2*(lna^1.5)) + a3*rysna*log(lna-a2*(lna^1.5)) + _pshs90*pshs90 + _rfdlnaN*rfdlnaN + _lmp6976*lmp6_976 + _tint6M6*tcint6M6 ; Labels = constant, a0, a1, a2, a3, _pshs90, _rfdlnaN, _lmp6976, _tint6M6 ; Start = .2, .40, 1.1, -.15, -.05, .007, 1.0, .5, 4 $