Effects of Money in House Elections (AJPS)

2SLS with LISREL

Raw Data
Gauss Code to Read and Analyze Raw Data
Covariance Matrix

! Green and Krasno (1988) AJPS: CAMPAIGN $ IN 1978 HOUSE ELECTIONS
! Model replicates top and bottom panels of Table 6.
! The first analysis reproduces the OLS estimates for the top
! panel (all cases, linear independent variables, no interactions.
! The second analysis generates 2sls estimates for this model.
! Analysis three runs OLS on the log of challenger spending,
! including interactions between challenger spending, challenger
! quality, and challenger party strength.
! Analysis four applies 2sls to the nonlinear/interaction model.
! Note problem with reported 2sls standard errors, which are
! slightly smaller than standard errors estimated here. Green
! generated the estimates using LS in two sequential regressions
! and used the Hout (_Soc. Methods and Research_) method for
! correcting standard errors, but only for the endogenous regressor
! “ie”. Consequently, the SE’s for incumbent expenditures are
! right, but the rest are a bit off. Luckily, nothing of substance
! was affected by these misestimates.
!
!Green, Donald Philip and Jonathan S. Krasno. 1988.
!Salvation for the Spendthrift Incumbent: Reestimating the
!Effects of Campaign Spending in House Elections.
!American Journal of Political Science. 32: 884-907.
!
!Green, Donald Philip and Jonathan S. Krasno. 1990.
!Rebuttal to Jacobson’s “New Evidence for Old
!Arguments.” American Journal of Political Science. 34: 363-372.
!
!—————————————————————–
! Analysis 1
!—————————————————————–
DA NI=10 NO=236
la
cv cps ce ie p cpq xcps xcpq logce iet1
CM sy FI=h:\classes\fall96\pls504\AJPS78.COV rewind
se
1 4 2 3 5 6 /
MO NY=1 NX=5 be=fu,fr ps=sy,fr
pa ga
*
1 1 1 1 1
pa be
*
0
OU ndec=3
!—————————————————————–
! Analysis 2
!—————————————————————–
DA NI=10 NO=236
la
cv cps ce ie p cpq xcps xcpq logce iet1
CM sy FI=h:\classes\fall96\pls504\AJPS78.COV rewind
se
1 4 2 3 5 6 10/
MO NY=2 NX=5 be=fu,fr ps=sy,fr
pa ga
*
1 1 1 1 0
1 1 1 1 1
pa be
*
0 1
0 0
OU ndec=3
!—————————————————————–
! Analysis 3
!—————————————————————–
DA NI=10 NO=236
la
cv cps ce ie p cpq xcps xcpq logce iet1
CM sy FI=h:\classes\fall96\pls504\AJPS78.COV rewind
se
1 4 2 9 5 6 7 8 /
MO NY=1 NX=7
pa ga
*
1 1 1 1 1 1 1
OU ndec=3
!—————————————————————–
! Analysis 4
!—————————————————————–
DA NI=10 NO=236
la
cv cps ce ie p cpq xcps xcpq logce iet1
CM sy FI=h:\classes\fall96\pls504\AJPS78.COV rewind
se
1 4 2 9 5 6 7 8 10/
MO NY=2 NX=7 be=fu,fr ps=sy,fr
pa ga
*
1 1 1 1 1 1 0
1 1 1 1 1 1 1
pa be
*
0 1
0 0
OU ndec=3