Table 11

The election cycle and government spending: GMM model

(1)(2)(3)
L.Expenditure0.757***0.758***0.787***
(0.0831)(0.0799)(0.0804)
Pre-election1.672**  
(0.521)  
Election 1.105*** 
 (0.326) 
Post-election  −1.331***
  (0.373)
Population growth (t – 1)0.477**0.598***0.572**
(0.192)(0.232)(0.240)
Median age (t – 1)0.173**0.185**0.167**
(0.0735)(0.0731)(0.0675)
Unemployment rate (t – 1)0.101**0.109**0.0967**
(0.0457)(0.0477)(0.0482)
Inflation (t – 1)−0.144***−0.163***−0.175***
(0.0341)(0.0461)(0.0533)
Government debt (t – 1)0.00228−0.00131−0.000708
(0.00601)(0.00591)(0.00581)
GDP growth (t – 1)0.153**0.136**0.144**
(0.0649)(0.0681)(0.0675)
Tax revenue (t – 1)0.518***0.542***0.522***
(0.142)(0.153)(0.129)
Constant3.659***3.873***3.029**
(1.337)(1.510)(1.441)
Observations1,4191,4191,419
Time effectsYesYesYes
Number of countries919191
Number of instruments676767
AR(2)0.1740.1860.193
Hansen J0.4740.4830.425

Note(s): Robust standard errors are in parentheses. The dependent variable is the ratio of total government expenditure to GDP (Expenditure). Time effects in our GMM setting is time trend, which is captured by a trend variable that begins in 1991 and increases by one in each of subsequent years for each country. We also use time trend instead of time-fixed effects to lower the number of instruments in our GMM estimations. ***, ** and * denote significance at the 1%, 5% and 10% level, respectively

Source(s): Authors' own work

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