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An analysis of COFOG expenditures in former Yugoslavian countries
Article | Year: 2023 | Pages: 233 - 254 | Volume: 47 | Issue: 2 Received: June 1, 2022 | Accepted: January 16, 2023 | Published online: June 12, 2023
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FULL ARTICLE
FIGURES & DATA
REFERENCES
CROSSMARK POLICY
METRICS
LICENCING
PDF
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Total expenditures
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General
public services
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Defence
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Public order
and safety
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Economic
affairs
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Environmental
protection
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Intercept
|
4.35
(1.55)
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0.77
(1.8)*
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0.22
(2.47)**
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0.1
(1.18)
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2.96 (3.93)***
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0.05
(1.55)
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Et-1
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-0.11
(1.67)
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-0.11 (1.8)*
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-0.21 (2.92)***
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-0.06 (1.6)
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-0.54 (4.25)***
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-0.16 (2.21)**
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Housing and
community amenities
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Health
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Recreation,
culture and religion
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Education
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Social
protection
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Intercept
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0.04
(0.61)
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0.95 (2.28)**
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0.08 (2.11)**
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0.17
(0.92)
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0.84
(1.47)
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Et-1
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-0.04
(0.75)
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-0.17 (2.35)**
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-0.1 (2.98)***
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-0.06
(1.36)
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-0.07 (1.74)*
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Obs.: 53; Method: OLS. Note: ***, **, * indicate statistical significance at 1%, 5% and 10%, respectively. T-statistics computed using OLS residuals is reported in parenthesis.
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Total
Expenditures
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General
public services
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Defence
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Public
order and safety
|
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Method
|
OLS
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GMM
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OLS
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GMM
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OLS
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GMM
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OLS
|
GMM
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Output gap
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-0.55 (-3.01)***
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-0.67 (-4.11)***
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-0.12
(-1.56)
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-0.14 (-2.28)**
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0.02 (1.4)
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0.03
(1.49)
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-0.02
(-1.24)
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-0.03
(-2.41)**
|
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Lagged
endogenous
|
0.37 (3.11)***
|
0.33 (7.33)***
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0.5
(4.73)***
|
0.66 (3.71)***
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0.77
(10.21)***
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0.74 (7.84)***
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0.63 (6.55)***
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0.61
(3.14)***
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R2
|
0.85
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0.87
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0.82
|
|
0.93
|
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Individual
fixed effects
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Yes
(0.0009)
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Yes
(0.008)
|
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Yes
(0.0717)
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Yes
(0.0297)
|
|
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Period fixed
effects
|
No
|
|
No
|
|
Yes
(0.0772)
|
|
No
|
|
|
Wald
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0.0118
|
|
|
|
|
|
|
|
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Pesaran CD
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0.1350
|
|
|
|
|
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|
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B-G test
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0.8532
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|
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|
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Hansen test
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0.3052
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0.6803
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0.6356
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0.7494
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A-B AR(2)
|
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0.3101
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0.6226
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0.1620
|
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0.1576
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Observations
|
64
|
58
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64
|
58
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64
|
58
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64
|
58
|
|
|
|
|
|
|
|
|
|
|
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Economic
affairs
|
Environmental
protection
|
Housing
and community amenities
|
Health
|
|
Method
|
OLS
|
GMM
|
OLS
|
GMM
|
OLS
|
GMM
|
OLS
|
GMM
|
|
|
Output gap
|
-0.07
(-0.48)
|
0.06
(0.51)
|
0.002
(0.22)
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0.001
(0.15)
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-0.01
(-0.45)
|
0.01
(0.27)
|
-0.07
(-2.57)**
|
-0.1
(-5.61)***
|
|
|
Lagged
endogenous
|
0.2
(1.59)
|
0.1
(0.68)
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0.24
(2.16)**
|
0.48 (3.09)***
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0.35
(3.13)***
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0.3
(1.79)*
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0.42
(3.56)***
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0.12
(0.82)
|
|
|
R2
|
0.45
|
|
0.88
|
|
0.94
|
|
0.79
|
|
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Individual
fixed effects
|
Yes
(0.0128)
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Yes
(0.0000)
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Yes
(0.0000)
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Yes
(0.0029)
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Period fixed
effects
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No
|
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No
|
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No
|
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No
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|
|
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Hansen test
|
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0.8943
|
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0.0810
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0.1551
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0.2843
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A-B AR(2)
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0.2414
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0.2150
|
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0.8262
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0.1292
|
|
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Observations
|
64
|
58
|
64
|
46
|
64
|
58
|
64
|
58
|
|
|
|
|
|
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|
|
|
|
|
|
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Recreation,
culture and religion
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Education
|
Social
protection
|
|
|
Method
|
OLS
|
GMM
|
OLS
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GMM
|
OLS
|
GMM
|
|
|
Output gap
|
-0.004
(-0.33)
|
-0.01
(-2.7)**
|
-0.03
(-1.68)*
|
-0.03
(-2.23)**
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-0.21
(-3.65)***
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-0.27
(-1.96)*
|
|
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Lagged
endogenous
|
0.59 (5.08)***
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0.34 (4.04)***
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0.72 (9.04)***
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0.74
(14.52)***
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0.5
(4.45)***
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0.23
(0.86)
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R2
|
0.92
|
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0.94
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0.93
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Individual
fixed effects
|
Yes
(0.0513)
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Yes
(0.0484)
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Yes
(0.0051)
|
|
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Period fixed
effects
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No
|
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No
|
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No
|
|
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Hansen test
|
|
0.0921
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0.0662
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0.4226
|
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A-B AR(2)
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0.3618
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0.5178
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0.1556
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Observations
|
64
|
46
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64
|
58
|
64
|
46
|
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Note: Redundancy F-test p-values for individual fixed effects and period fixed effects is reported in respective parenthesis. ***, **, * indicate statistical significance at 1%, 5%
and 10%, respectively. T-statistics computed using OLS residuals is reported in parenthesis. Instruments in GMM are constructed for the lagged dependent variable from the
second and third lagged values in the form of differences in all estimates, except for Health, Environmental protection and Recreation, culture and religion where we use the
third and fourth lagged values. Additionally, third and fourth lagged values in the form of levels are applied as instruments for Recreation, culture and religion, Environmental
protection and Social Protection. Lastly, period fixed effects are applied in the case of Housing and community amenities, Environmental protection and Social Protection.
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Dependent
variable
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Independent
variable of interest
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Controls
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Source
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education
(ratio of education expenditures to total public expenditures)
health (same) and composition (ratio of education and health expenditures to
total public expenditures).
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decentralization
(share of local to total exp)
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Population
population density
age structure
gross domestic product (GDP) per capita
openness to international trade
OECD membership dummy
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del Granado,
Martinez-Vazquez and McNab. (2018)
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expenditure
share in total expenditures
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corruption
convictions
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log of state
population
the log of real state gross domestic product (GDP) per capita
the percentage of state population aged 25+ with at least a high school
diploma
the percentage of state population between ages 0-17
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Cordis (2014)
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expenditures
share of total expenditures
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corruption
perception index
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interest rate
on government bonds
the population density
the age-dependency ratio
the log of real GDP per capita
and the unemployment rate
regional dummies for the South, the Midwest, and the West
|
Hessami
(2014)
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total
expenditure / COFOG category
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real GDP in
national currency
election years
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lagged
dependent
population
openness
the age structure (share of young and elderly in total population)
unemployment rate growth rate of total expenditures
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Enkelmann and
Leibrecht (2013)
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Expenditure
(share of GDP)
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ln(population)
ln(GDP per capita)
openness
OECD membership
index of ethnic fractionalization
fraction of population over 65
|
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Ferreiro,
Garcia-Del-Valle and Gomez (2009)
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government
transfers to households
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party linkage
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lagged
dependent
age
unemployment
total expenditures
federalism dummy
district magnitude
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Lago-Peñas and
Lago-Peñas (2009)
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education
expenditures
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corruption
index
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Mauro (1998)
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Source: Authors’ literature review.
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Variable
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Definition
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Description
|
Source
|
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PGGA
|
Public goods and general administration
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Aggregation of General public services,
Defence, Public order and safety, and Environmental protection, measured in
GDP %
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National Financial Institutions, Eurostat
|
|
SE
|
Social expenditure
|
Aggregation of Housing and community
amenities, Health, Recreation, culture and religion and Social protection,
measured in GDP %
|
National Financial Institutions, Eurostat
|
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PE
|
Productive expenditure
|
Aggregation of Economic affairs and
Education, measured in GDP %
|
National Financial Institutions, Eurostat
|
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ELECTIONS
|
Parliamentary elections
|
Dummy variable taking value of 1 for
parliamentary election year, and 0 for other
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National Election Commissions
|
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PARTY_NAT
|
Party nationalization index
|
The party nationalization index calculated
as per Bochsler (2010), where politically decentralized countries are
described with a lower index value
|
National Election Commissions
|
|
CORRUPT
|
Corruption perception index
|
The corruption perception index, where
less corrupt countries are described by a higher index value
|
Transparency International
|
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GDPEUR
|
Gross Domestic Product
|
Gross Domestic Product in millions of
euros, at current market prices
|
Eurostat
|
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OPEN
|
Trade openness
|
Trade openness index, where higher values
are described for more open economies
|
Eurostat
|
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UNEM
|
Unemployment rate
|
Percentage of population aged over 15
years that is unemployed
|
International Labour Organization
|
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TOTEXP
|
Total expenditures
|
Total expenditures, measured in GDP %
|
National Financial Institutions, Eurostat
|
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Variable
|
Mean
|
Median
|
Std. dev.
|
Maximum
|
Minimum
|
Observations
|
|
PGGA
|
10.71
|
9.94
|
2.97
|
19.35
|
6.8
|
70
|
|
PE
|
10.2
|
10.06
|
2.67
|
21.7
|
5.3
|
70
|
|
SE
|
22.94
|
23.38
|
3.14
|
29.1
|
17.8
|
70
|
|
ELECTIONS
|
0.27
|
0
|
0.45
|
1
|
0
|
70
|
|
PARTY_NAT
|
0.8
|
0.8
|
0.11
|
0.92
|
0.54
|
70
|
|
CORRUPT
|
4.55
|
4.2
|
0.94
|
6.7
|
3.2
|
70
|
|
GDPEUR
|
26,949.2
|
34,376.4
|
16,582.47
|
54,237.9
|
3,125.1
|
70
|
|
OPEN
|
1.07
|
1.03
|
0.23
|
1.61
|
0.66
|
70
|
|
UNEM
|
16.59
|
16.16
|
7.8
|
32.18
|
4.37
|
70
|
|
TOTEXP
|
43.85
|
44.91
|
5.28
|
60.3
|
33.1
|
70
|
|
SE
|
PE
|
|
C
|
12.8484 (2.1)** [1.67]
|
-32.065 (-3.2)*** [-2.62]**
|
|
ELECTIONS
|
0.498 (2.25)** [2.09]**
|
-0.3541
(-0.98)
[-0.83]
|
|
PARTY_NAT
|
16.8527 (3.49)*** [3.21]***
|
-4.8893 (-0.62) [-0.56]
|
|
CORRUPT
|
-0.3769 (-1.2)
[-1.13]
|
0.2448 -0.48 [0.46]
|
|
GDPEUR
|
-0.0001
(-1.66) [-1.88]*
|
0.0001 -0.92 [1.28]
|
|
OPEN
|
-0.8379 (-0.39) [-0.38]
|
0.1487 -0.04 [0.05]
|
|
UNEM
|
-0.1432 (-3.05)*** [-3.17]***
|
0.2187 (2.84)*** [2.46]**
|
|
TOTEXP
|
0.0992 (2.09)** [1.94]*
|
0.8844 (11.39)*** [10.77]***
|
|
Observations
|
70
|
70
|
|
Individual fixed effects
|
>0.0001
|
>0.0001
|
|
Period fixed effects
|
>0.0001
|
0.003
|
|
B-G test
|
0.66
|
0.16
|
|
R-squared
|
0.97
|
0.91
|
Note: Robust t-statistics computed using panel corrected standard errors (PCSE) are reported in brackets, whereas t-statistics computed using OLS residuals are reported in parenthesis. ***, **, * indicate the statistical significance at 1%, 5% and 10%, respectively. Redundancy F-tests for individual fixed effects and period fixed effects are reported in respective rows. B–G test denotes the Breusch-Godfrey test of AR(1) autocorrelation. Estimates are performed using EViews 9.5.
Afonso, A. and Jalles, J. T., 2014. Fiscal composition and long-term growth. Applied Economics, 46(3), pp. 349-358 [ CrossRef]
Alesina, A., Campante, F. R. and Tabellini, G., 2008. Why is fiscal policy often procyclical? Journal of the European Economic Association, 6(5), pp. 1006-1036 [ CrossRef]
Allison, P. D., Williams, R. and Moral-Benito, E., 2017. Maximum likelihood for cross-lagged panel models with fixed effects. Socius, 3 [ CrossRef]
Arčabić, V. and Banić, F., 2021. Characteristics of fiscal policy in Croatia: does it depend on the phase of the business cycle? Public Sector Economics, 45(4), pp. 433-457 [ CrossRef]
Balassone, F. and Kumar, M., 2007. Promoting fiscal discipline. Washington: International Monetary Fund.
Bochsler, D., 2010. Measuring party nationalisation: A new Gini-based indicator that corrects for the number of units. Electoral studies, 29(1), pp. 155-168 [ CrossRef]
Cordis, A. S., 2014. Corruption and the composition of public spending in the United States. Public Finance Review, 42(6), pp. 745-773 [ CrossRef]
Crnogorac, M. and Lago-Peñas, S., 2019a. Fiscal policy in former Yugoslavian countries (2001-2014): stylised facts and budget elasticities. Economic Research, 32(1), pp. 947-967 [ CrossRef]
Crnogorac, M. and Lago-Peñas, S., 2019b. Tax evasion in the countries of Former Yugoslavia. Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu, 37(2), pp. 823-851 [ CrossRef]
Crnogorac, M. and Lago-Peñas, S., 2020. Determinants of tax morale in former Yugoslavian countries. Eastern European Economics, 58(2), pp. 174-196 [ CrossRef]
Dabla-Norris, E. [et al.], 2010. Budget institutions and fiscal performance in low-income countries. IMF working papers, No. 240 [ CrossRef]
del Granado, F. J. A., Martinez-Vazquez, J. and McNab, R. M., 2018. Decentralized governance, expenditure composition, and preferences for public goods. Public Finance Review, 46(3), pp. 359-388 [ CrossRef]
Égert, B., 2014. Fiscal policy reaction to the cycle in the OECD: pro-or counter-cyclical? Mondes en developpement, (3), pp. 35-52 [ CrossRef]
Enkelmann, S. and Leibrecht, M., 2013. Political expenditure cycles and election outcomes: Evidence from disaggregation of public expenditures by economic functions. Economics Letters, 121(1), pp. 128-132 [ CrossRef]
Ferreiro, J., Garcia-Del-Valle, M. T. and Gomez, C., 2009. Is the composition of public expenditures converging in EMU countries? Journal of Post Keynesian Economics, 31(3), pp. 459-484 [ CrossRef]
Gavin, M. and Perotti, R., 1997. Fiscal policy in latin america. NBER macroeconomics annual, 12, pp. 11-61 [ CrossRef]
Hessami, Z., 2014. Political corruption, public procurement, and budget composition: Theory and evidence from OECD countries. European journal of political economy, 34, pp. 372-389 [ CrossRef]
Hodrick, R. J. and Prescott, E. C., 1997. Postwar U.S. business cycles: An empirical investigation. Journal of Money, Credit, and Banking, 29(1), pp. 1-16 [ CrossRef]
Ilzetzki, E. and Végh, C. A., 2008. Procyclical fiscal policy in developing countries: Truth or fiction? NBER Working paper, No. 14191 [ CrossRef]
Inchauste, M. G. [et al.], 2004. The cyclical and long-term behavior of government expenditures in developing countries. IMF Working paper, No. 202 [ CrossRef]
Jaimovich, D. and Panizza, U., 2007. Procyclicality or Reverse Causality? IDB Working Paper, No. 501 [ CrossRef]
Kaminsky, G. L., Reinhart, C. M. and Végh, C. A., 2004. When it rains, it pours: procyclical capital flows and macroeconomic policies. NBER macroeconomics annual, 19, pp. 11-53 [ CrossRef]
Lago-Peñas, I. and Lago-Peñas, S., 2009. Does the nationalization of party systems affect the composition of public spending? Economics of Governance, 10(1), pp. 85-98 [ CrossRef]
Mauro, P., 1998. Corruption and the composition of government expenditure. Journal of Public Economics, 69(2), pp. 263-279 [ CrossRef]
Moral-Benito, E., Allison, P. and Williams, R., 2019. Dynamic panel data modelling using maximum likelihood: an alternative to Arellano-Bond. Applied Economics, 51(20), pp. 2221-2232 [ CrossRef]
Mourre, G., Astarita, C. and Princen, S., 2014. Adjusting the budget balance for the business cycle: the EU methodology. Economic Papers, No. 536.
Nickell, S. J., 1981. Biases in dynamic models with fixed effects. Econometrica, 49(6), pp. 1417-1426 [ CrossRef]
Ravn, M. O. and Uhlig, H., 2002. On adjusting the hodrick-prescott filter for the frequency of a observations. The Review of Economics and Statistics, 84(2), pp. 371-375 [ CrossRef]
Sala-i-Martin, X. X., 1996. The classical approach to convergence analysis. The economic journal, 106(437), pp. 1019-1036 [ CrossRef]
United Nations, 2000. Classifications of expenditure according to purpose : classification of the functions of government (COFOG), classification of individual consumption according to purpose (COICOP), classification of the purposes of non-profit institutions serving households (COPNI), classification of the outlays of producers according to purpose (COPP). Statistical Papers, No. 84.
Viren, M., 2014. How different are the fiscal policy effects? Revue de l'OFCE, (1), pp. 135-157 [ CrossRef]
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June, 2023 II/2023
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