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History matters: development and institutional persistence of the Habsburg Military Frontier in Croatia*
Marina Tkalec*
Marina Tkalec
Affiliation: The Institute of Economics, Zagreb, Department of Macroeconomics and International Economics, Zagreb, Croatia
0000-0001-7974-9345
Correspondence
mtkalec@eizg.hr
Article | Year: 2020 | Pages: 117 - 145 | Volume: 44 | Issue: 1 Received: June 1, 2019 | Accepted: October 14, 2019 | Published online: March 3, 2020
|
FULL ARTICLE
FIGURES & DATA
REFERENCES
CROSSMARK POLICY
METRICS
LICENCING
PDF
Source: The World of the Habsburgs (1800).
Notes: Military Frontier in modern-day Croatia before its dissolution in 1881. We are grateful to Tomislav Kaniški from Leksikografski zavod Miroslav Krleža who provided us with Military Frontier 1868–1881 shapefiles from Regan and Kaniški (2003). LiTS wave 2006 is presented by the red color, the 2010 wave with yellow, and the 2016 wave with the blue color.
|
Both sides
|
Military Frontier
|
Non-Military Frontier
|
|
|
|
Mean
|
SD
|
Min
|
Max
|
Mean
|
SD
|
Mean
|
SD
|
|
|
|
(1)
|
(2)
|
(3)
|
(4)
|
(5)
|
(6)
|
(7)
|
(8)
|
|
|
Part of Military Frontier
|
0.139
|
0.346
|
0
|
1
|
1.000
|
0.000
|
0.000
|
0.000
|
|
|
Individual-level variables
|
|
|
|
|
|
|
|
Age of respondent
|
50.299
|
17.613
|
18
|
95
|
52.420
|
17.534
|
49.957
|
17.605
|
|
|
Male respondent
|
0.587
|
0.492
|
0
|
1
|
0.619
|
0.486
|
0.582
|
0.493
|
|
|
Worked for income during last 12 months
|
0.479
|
0.500
|
0
|
1
|
0.360
|
0.481
|
0.498
|
0.500
|
|
|
Education (omitted category: no degree)
|
|
|
Compulsory schooling education
|
0.147
|
0.355
|
0
|
1
|
0.195
|
0.396
|
0.140
|
0.347
|
|
|
Secondary education
|
0.456
|
0.498
|
0
|
1
|
0.410
|
0.492
|
0.464
|
0.499
|
|
|
Professional, vocational school or training
|
0.170
|
0.375
|
0
|
1
|
0.159
|
0.366
|
0.171
|
0.377
|
|
|
Higher professional degree
(university, college)
|
0.136
|
0.343
|
0
|
1
|
0.083
|
0.276
|
0.145
|
0.352
|
|
|
Post-graduate degree
|
0.026
|
0.159
|
0
|
1
|
0.021
|
0.143
|
0.027
|
0.161
|
|
|
Religion (omitted category: atheist)
|
|
|
|
Buddhist
|
0.001
|
0.024
|
0
|
1
|
0.000
|
0.000
|
0.001
|
0.026
|
|
|
Jewish
|
0.001
|
0.024
|
0
|
1
|
0.000
|
0.000
|
0.001
|
0.026
|
|
|
Christian
|
0.900
|
0.300
|
0
|
1
|
0.928
|
0.260
|
0.895
|
0.306
|
|
|
Muslim
|
0.012
|
0.109
|
0
|
1
|
0.031
|
0.174
|
0.009
|
0.095
|
|
|
Other
|
0.007
|
0.085
|
0
|
1
|
0.004
|
0.064
|
0.008
|
0.087
|
|
|
Household-level variables
|
|
|
|
Household has a car
|
0.713
|
0.452
|
0
|
1
|
0.609
|
0.489
|
0.730
|
0.444
|
|
|
Household has a bank account
|
0.713
|
0.452
|
0
|
1
|
0.654
|
0.476
|
0.723
|
0.448
|
|
|
Household has a credit/debit card
|
0.750
|
0.433
|
0
|
1
|
0.587
|
0.493
|
0.782
|
0.413
|
|
|
Household has a mobile phone
|
0.856
|
0.351
|
0
|
1
|
0.739
|
0.440
|
0.875
|
0.330
|
|
|
Household has a computer
|
0.584
|
0.493
|
0
|
1
|
0.437
|
0.497
|
0.608
|
0.488
|
|
|
Household has access to internet at home
|
0.558
|
0.497
|
0
|
1
|
0.420
|
0.494
|
0.581
|
0.494
|
|
|
Household size (equivalent scale)
|
1.755
|
0.624
|
1.000
|
4.500
|
1.774
|
0.656
|
1.752
|
0.619
|
|
|
Household number of children under 14
|
1.353
|
0.757
|
1
|
7
|
1.416
|
0.809
|
1.343
|
0.748
|
|
|
Source: Life in Transition Survey (LiTS) 2006, 2010 and 2016; see main text for details.
|
Trust in
|
Bribes to
|
|
courts
|
police
|
courts
|
traffic police
|
|
(1)
|
(2)
|
(3)
|
(4)
|
Part of Military
|
0.392**
|
0.273**
|
0.835***
|
0.469*
|
Frontier
|
(0.189)
|
(0.137)
|
(0.259)
|
(0.258)
|
Age of respondent
|
-0.001
|
0.010***
|
-0.008**
|
-0.018***
|
|
(0.002)
|
(0.002)
|
(0.003)
|
(0.003)
|
Male respondent
|
-0.120*
|
0.075
|
0.090
|
0.131
|
|
(0.064)
|
(0.061)
|
(0.099)
|
(0.094)
|
Used service in
|
|
|
0.547***
|
0.644***
|
last 12 months
|
|
|
(0.165)
|
(0.123)
|
Controls for religious affiliation (6 categories)
|
Yes
|
Yes
|
Yes
|
Yes
|
Controls for LiTS wave
|
Yes
|
Yes
|
Yes
|
Yes
|
No. of observations
|
3,361
|
3,411
|
3,272
|
3,302
|
No. of locations
|
164
|
164
|
164
|
164
|
Pseudo-R2
|
0.016
|
0.019
|
0.029
|
0.046
|
|
|
|
|
|
Notes: Coefficients and standard errors from ordered logit estimation. Dependent variable in columns (1) and (2) is answer to the question “To what extent do you trust the following institutions?” Column (1): The courts. Column (2): The police. Answer categories are: 1 = Complete distrust; 2 = Some distrust; 3 = Neither trust nor distrust; 4 = Some trust; 5 = Complete trust. Category 6 = Difficult to say/Don’t know/Not applicable/Not stated are set to missing in regressions. Dependent variable in columns (3) and (4) is answer to the question “In your opinion, how often is it necessary for people like you to have to make unofficial payments/gifts in these situations?” Column (3): Interact with the courts. Column (4): Interact with the traffic police. Answer categories are: 1 = Never; 2 = Seldom; 3 = Sometimes; 4 = Usually; 5 = Always. Category 6 = Difficult to say/Don’t know/Refusal set to missing in regressions. Standard errors clustered at the level of PSU or place of residence are in parentheses: *significance at 10, **5, ***1 percent. Source: Life in Transition Survey (LiTS) 2006, 2010 and 2016; see main text for details.
|
Trust in
|
Bribes to
|
|
courts
|
police
|
courts
|
traffic police
|
|
(1)
|
(2)
|
(3)
|
(4)
|
Part of Military Frontier
|
0.383**
(0.188)
|
0.285**
(0.139)
|
0.813***
(0.261)
|
0.448*
(0.260)
|
Age of respondent
|
-0.001
(0.002)
|
0.010***
(0.002)
|
-0.007**
(0.003)
|
-0.018***
(0.003)
|
Male respondent
|
-0.119*
(0.066)
|
0.068
(0.063)
|
0.084
(0.010)
|
0.118
(0.094)
|
Used service in last 12 months
|
|
|
0.599***
(0.167)
|
0.652***
(0.124)
|
Controls for religious affiliation (6 categories)
|
Yes
|
Yes
|
Yes
|
Yes
|
Controls for LiTS wave
|
Yes
|
Yes
|
Yes
|
Yes
|
No. of observations
|
3,272
|
3,319
|
3,183
|
3,213
|
No. of locations
|
159
|
159
|
159
|
159
|
Pseudo-R2
|
0.016
|
0.018
|
0.029
|
0.047
|
|
|
|
|
|
Notes: Coefficients and standard errors from ordered logit estimation. Border sample: respondents living within 200 km from the former Military Frontier border. Dependent variable in columns (1) and (2) is answer to the question “To what extent do you trust the following institutions?” Column (1): The courts. Column (2): The police. Answer categories are: 1 = Complete distrust; 2 = Some distrust; 3 = Neither trust nor distrust; 4 = Some trust; 5 = Complete trust. Category 6 = Difficult to say/Don’t know/Not applicable/Not stated are set to missing in regressions. Dependent variable in columns (3) and (4) is answer to the question “In your opinion, how often is it necessary for people like you to have to make unofficial payments/gifts in these situations?” Column (3): Interact with the courts. Column (4): Interact with the traffic police. Answer categories are: 1 = Never; 2 = Seldom; 3 = Sometimes; 4 = Usually; 5 = Always. Category 6 = Difficult to say/Don’t know/Refusal set to missing in regressions. Standard errors clustered at the level of PSU or place of residence are in parentheses: *significance at 10, **5, ***1 percent. Source: Life in Transition Survey (LiTS) 2006, 2010 and 2016; see main text for details.
|
Trust in
|
Bribes to
|
|
courts
|
police
|
courts
|
traffic police
|
|
(1)
|
(2)
|
(3)
|
(4)
|
Polynomials
in latitude and longitude
|
|
|
|
Linear polynomial
(reference specification)
|
0.329*
(0.192)
|
0.267*
(0.147)
|
0.869***
(0.270)
|
0.450*
(0.253)
|
Quadratic polynomial
in latitude and longitude
|
0.225
(0.232)
|
-0.076
(0.191)
|
0.902**
(0.445)
|
0.402
(0.341)
|
Cubic polynomial
in latitude and longitude
|
0.214
(0.243)
|
-0.077
(0.199)
|
0.825*
(0.485)
|
0.287
(0.332)
|
Quartic polynomial
in latitude and longitude
|
0.275
(0.311)
|
-0.210
(0.249)
|
0.697
(0.715)
|
0.356
(0.469)
|
Polynomials in
distance to border
|
|
|
|
Linear polynomial
in distance to border
|
0.352
(0.244)
|
0.055
(0.184)
|
0.781**
(0.371)
|
0.460*
(0.301)
|
Quadratic polynomial
in distance to border
|
-0.006
(0.052)
|
-0.196**
(0.083)
|
0.773**
(0.372)
|
0.458***
(0.146)
|
Interacted linear
polynomial
in distance to border
|
0.241
(0.285)
|
-0.021
(0.206)
|
0.929**
(0.395)
|
0.711**
(0.295)
|
No. of observations
|
3,272
|
3,319
|
3,183
|
3,213
|
Notes: All reported estimates are coefficients of the variable “Part of Military Frontier” in a model specification that includes all control variables shown in Table 3. Coefficients and standard errors from ordered logit estimation. Border sample: respondents living within 200 km from the former Military Frontier border, based on GIS-computed distance from border. Standard errors clustered at the level of PSU or place of residence are in parentheses: *significance at 10, **5, ***1 percent. Source: Life in Transition Survey (LiTS) 2006, 2010 and 2016; see main text for details.
|
Trust in
|
Bribes to
|
No. of
|
|
|
courts
|
police
|
courts
|
traffic police
|
observations
|
clusters
|
|
|
(1)
|
(2)
|
(3)
|
(4)
|
(5)
|
(6)
|
|
Border
specification (as in Table 3) (distance from border in km)
|
|
<200
|
0.383**
(0.188)
|
0.285**
(0.139)
|
0.813***
(0.261)
|
0.448*
(0.260)
|
3,272
|
159
|
|
<150
|
0.403**
(0.188)
|
0.289**
(0.139)
|
0.830***
(0.263)
|
0.469*
(0.261)
|
3,232
|
157
|
|
|
<100
|
0.367*
(0.188)
|
0.268*
(0.141)
|
0.825***
(0.264)
|
0.449*
(0.265)
|
3,054
|
148
|
|
|
<50
|
0.401**
(0.195)
|
0.213
(0.150)
|
0.850***
(0.279)
|
0.451*
(0.268)
|
2,178
|
105
|
|
|
<25
|
0.131
(0.243)
|
0.117
(0.183)
|
0.735*
(0.394)
|
0.527
(0.329)
|
967
|
51
|
|
|
RDD specification with
linear polynomial in latitude and longitude (as in Table 4) (distance from
border in km)
|
|
|
|
<200
|
0.329*
(0.192)
|
0.267*
(0.146)
|
0.869***
(0.270)
|
0.450*
(0.253)
|
3,272
|
159
|
|
|
<150
|
0.356*
(0.192)
|
0.282*
(0.147)
|
0.895***
(0.271)
|
0.484*
(0.253)
|
3,232
|
157
|
|
|
<100
|
0.300
(0.192)
|
0.257*
(0.150)
|
0.853***
(0.276)
|
0.447*
(0.258)
|
3,054
|
148
|
|
|
<50
|
0.227
(0.196)
|
0.264
(0.175)
|
0.813***
(0.309)
|
0.482*
(0.261)
|
2,178
|
105
|
|
|
<25
|
0.004
(0.232)
|
0.015
(0.185)
|
0.839*
(0.456)
|
0.605
(0.371)
|
967
|
51
|
|
|
Notes: All reported estimates are coefficients of the variable “Part of Military Frontier” in a model specification that includes all control variables shown in Table 3. The number of observations and clusters reported in columns (5) and (6) refer to the average number of observations/ clusters in all four model specifications. Standard errors clustered at the level of PSU or place of residence are in parentheses: *significance at 10, **5, ***1 percent. Source: Life in Transition Survey (LiTS) 2006, 2010 and 2016; see main text for details.
|
Trust in
|
Bribes to
|
|
courts
|
police
|
courts
|
traffic police
|
|
(1)
|
(2)
|
(3)
|
(4)
|
Border specification
|
|
|
|
|
Part of Military Frontier
|
0.324*
|
0.229*
|
0.825***
|
0.476*
|
(0.185)
|
(0.137)
|
(0.265)
|
(0.260)
|
Age of respondent
|
-0.004
|
0.006**
|
-0.004
|
-0.014***
|
(0.002)
|
(0.003)
|
(0.004)
|
(0.125)
|
Male respondent
|
-0.094
|
0.045
|
0.024
|
0.046
|
(0.064)
|
(0.065)
|
(0.104)
|
(0.094)
|
Used service in last 12 months
|
|
|
0.589***
|
0.587***
|
|
|
(0.171)
|
(0.125)
|
Worked for income during last 12 months
|
-0.048
|
-0.179**
|
0.198*
|
0.216*
|
(0.077)
|
(0.085)
|
(0.101)
|
(0.095)
|
Urban area
|
0.089
|
-0.043
|
0.110
|
-0.004
|
(0.121)
|
(0.112)
|
(0.225)
|
(0.194)
|
Household size(equivalent scale)
|
0.036
|
0.173**
|
0.195*
|
0.094
|
(0.079)
|
(0.077)
|
(0.114)
|
(0.101)
|
Household number of children under 14
|
0.116**
|
0.059
|
-0.097
|
-0.038
|
(0.055)
|
(0.052)
|
(0.074)
|
(0.073)
|
Controls for religious affiliation (6 categories)
|
Yes
|
Yes
|
Yes
|
Yes
|
Controls for LiTS wave
|
Yes
|
Yes
|
Yes
|
Yes
|
Controls for household property (4 variables)
|
Yes
|
Yes
|
Yes
|
Yes
|
Controls for education level (6 categories)
|
Yes
|
Yes
|
Yes
|
Yes
|
No. of observations
|
3,272
|
3,319
|
3,183
|
3,213
|
No. of locations
|
159
|
159
|
159
|
159
|
Pseudo-R2
|
0.020
|
0.022
|
0.033
|
0.051
|
RDD specification with linear polynomial in latitude and longitude
|
Part of Military
|
0.280
|
0.220
|
0.880***
|
0.474*
|
Frontier
|
(0.188)
|
(0.143)
|
(0.274)
|
(0.254)
|
Controls (as above)
|
Yes
|
Yes
|
Yes
|
Yes
|
Notes: Coefficients and standard errors from ordered logit estimation. Sample: respondents living within 200 km from the former Military Frontier border, based on GIS-computed distance from border. Dependent variable in columns (1) and (2) is answer to the question “To what extent do you trust the following institutions?” Column (1): The courts. Column (2): The police. Answer categories are: 1 = Complete distrust; 2 = Some distrust; 3 = Neither trust nor distrust; 4 = Some trust; 5 = Complete trust. Category 6 = Difficult to say/Don’t know/Not applicable/Not stated are set to missing in regressions. Dependent variable in columns (3) and (4) is answer to the question “In your opinion, how often is it necessary for people like you to have to make unofficial payments/gifts in these situations?” Column (3): Interact with the courts. Column (4): Interact with the traffic police. Answer categories are: 1 = Never; 2 = Seldom; 3 = Sometimes; 4 = Usually; 5 = Always. Category 6 = Difficult to say/Don’t know/Refusal set to missing in regressions. Standard errors clustered at the level of PSU or place of residence are in parentheses: *significance at 10, **5, ***1 percent. Source: Life in Transition Survey (LiTS) 2006, 2010 and 2016; see main text for details.
|
Trust in
|
Membership in
|
|
other people
|
trade unions
|
political parties
|
civic organizations
|
|
(1)
|
(2)
|
(3)
|
(4)
|
Border specification
|
|
|
|
|
Part of Military Frontier
|
-0.329*
|
-0.141
|
0.016
|
0.103**
|
(0.185)
|
(0.195)
|
(0.105)
|
(0.149)
|
Controls (as in Table 6)
|
Yes
|
Yes
|
Yes
|
Yes
|
No. of observations
|
3,243
|
3,196
|
3,370
|
3,370
|
No. of locations
|
158
|
159
|
159
|
159
|
Pseudo-R2
|
0.013
|
0.008
|
0.052
|
0.116
|
RDD specification with
linear polynomial in latitude and longitude
|
|
Part of Military Frontier
|
-0.299
|
-0.126
|
0.010
|
0.105**
|
(0.190)
|
(0.198)
|
(0.105)
|
(0.152)
|
Controls (as in Table 6)
|
Yes
|
Yes
|
Yes
|
Yes
|
No. of observations
|
3,243
|
3,196
|
3,370
|
3,370
|
No. of locations
|
158
|
159
|
159
|
159
|
Pseudo-R2
|
0.015
|
0.009
|
0.059
|
0.118
|
Notes: Columns (1) and (2): Coefficients and standard errors from ordered logit estimation. Columns (3) and (4): marginal effects and standard errors from probit estimations. Sample: respondents living within 200 km from the former Military Frontier border, based on GIScomputed distance from border. Dependent variable in columns (1) and (2) is answer to the question “To what extent do you trust the following [...]?” Column (1): Other people. Column (2): Trade unions. Answer categories are: 1 = Complete distrust; 2 = Some distrust; 3 = Neither trust nor distrust; 4 = Some trust; 5 = Complete trust. Category 6 = Difficult to say/Don’t know/Not applicable/Not stated are set to missing in regressions. Dependent variable in columns (3) is answer to the question “Are you a member of a political party?”. Dependent variable in columns (4) is answer to the question “Are you a member of (other) civic/voluntary organizations?”. Standard errors clustered at the level of PSU or place of residence are in parentheses: *significance at 10, **5, ***1 percent. Source: Life in Transition Survey (LiTS) 2006, 2010 and 2016; see main text for details.
|
Trust in
|
Bribes to
|
|
courts
|
police
|
courts
|
traffic police
|
|
(1)
|
(2)
|
(3)
|
(4)
|
Part of Military Frontier
|
0.325
|
0.153
|
0.804**
|
0.567
|
(0.230)
|
(0.139)
|
(0.344)
|
(0.348)
|
Age of respondent
|
-0.002
|
0.010***
|
-0.009***
|
-0.019***
|
(0.002)
|
(0.002)
|
(0.003)
|
(0.003)
|
Male respondent
|
-0.127*
|
0.064
|
0.051
|
0.123
|
(0.068)
|
(0.067)
|
(0.106)
|
(0.100)
|
Used service in last 12 months
|
|
|
0.509***
|
0.637***
|
|
|
(0.178)
|
(0.130)
|
Controls for religious affiliation (6 categories)
|
Yes
|
Yes
|
Yes
|
Yes
|
|
|
|
|
Controls for LiTS wave
|
Yes
|
Yes
|
Yes
|
Yes
|
No. of observations
|
3,036
|
3,080
|
2,957
|
2,994
|
No. of locations
|
147
|
147
|
147
|
147
|
Pseudo-R2
|
0.016
|
0.020
|
0.023
|
0.043
|
Notes: Coefficients and standard errors from ordered logit estimation. Sample: areas behind the frontline at arrival of UN forces in 1992 are excluded. Dependent variable in columns (1) and (2) is answer to the question “To what extent do you trust the following institutions?” Column (1): The courts. Column (2): The police. Answer categories are: 1 = Complete distrust; 2 = Some distrust; 3 = Neither trust nor distrust; 4 = Some trust; 5 = Complete trust. Category 6 = Difficult to say/Don’t know/Not applicable/Not stated are set to missing in regressions. Dependent variable in columns (3) and (4) is answer to the question “In your opinion, how often is it necessary for people like you to have to make unofficial payments/gifts in these situations?” Column (3): Interact with the courts. Column (4): Interact with the traffic police. Answer categories are: 1 = Never; 2 = Seldom; 3 = Sometimes; 4 = Usually; 5 = Always. Category 6 = Difficult to say/ Don’t know/Refusal set to missing in regressions. Standard errors clustered at the level of PSU or place of residence are in parentheses: *significance at 10, **5, ***1 percent. Source: Life in Transition Survey (LiTS) 2006, 2010 and 2016 and Šterc and Pokos (1993); see main text for details.
|
Trust in
|
Bribes to
|
|
courts
|
police
|
courts
|
traffic police
|
|
(1)
|
(2)
|
(3)
|
(4)
|
Part of Military Frontier
|
0.288
|
0.141
|
0.821**
|
0.577*
|
(0.231)
|
(0.142)
|
(0.340)
|
(0.343)
|
Age of respondent
|
-0.001
|
0.009***
|
-0.009***
|
-0.018***
|
(0.002)
|
(0.002)
|
(0.003)
|
(0.003)
|
Male respondent
|
-0.129*
|
0.067
|
0.045
|
0.124
|
(0.067)
|
(0.064)
|
(0.103)
|
(0.095)
|
Used service in last 12 months
|
|
|
0.513***
|
0.615***
|
|
|
(0.173)
|
(0.126)
|
Controls for religious affiliation (6 categories)
|
Yes
|
Yes
|
Yes
|
Yes
|
|
|
|
|
Controls for LiTS wave
|
Yes
|
Yes
|
Yes
|
Yes
|
No. of observations
|
3,184
|
3,230
|
3,106
|
3,143
|
No. of locations
|
155
|
155
|
155
|
155
|
Pseudo-R2
|
0.015
|
0.018
|
0.026
|
0.044
|
Notes: Coefficients and standard errors from ordered logit estimation. Sample: areas behind the frontline at arrival of UN forces in 1992 on the territory of former Military Frontier are excluded. Dependent variable in columns (1) and (2) is answer to the question “To what extent do you trust the following institutions?” Column (1): The courts. Column (2): The police. Answer categories are: 1 = Complete distrust; 2 = Some distrust; 3 = Neither trust nor distrust; 4 = Some trust; 5 = Complete trust. Category 6 = Difficult to say/Don’t know/Not applicable/Not stated are set to missing in regressions. Dependent variable in columns (3) and (4) is answer to the question “In your opinion, how often is it necessary for people like you to have to make unofficial payments/ gifts in these situations?” Column (3): Interact with the courts. Column (4): Interact with the traffic police. Answer categories are: 1 = Never; 2 = Seldom; 3 = Sometimes; 4 = Usually; 5 = Always. Category 6 = Difficult to say/Don’t know/Refusal set to missing in regressions. Standard errors clustered at the level of PSU or place of residence are in parentheses: *significance at 10, **5, ***1 percent. Source: Life in Transition Survey (LiTS) 2006, 2010 and 2016 and Šterc and Pokos (1993); see main text for details.
---, 1829. Versuch einer Darstellung der oesterreichischen Monarchie in statistischen Tafeln. Oesterreichische Monarchie
Acemoglu, D. [et al.], 2003. Institutional Causes, Macroeconomic Symptoms: Volatility, Crises and Growth. Journal of Monetary Economics, 50(1), pp. 49-123 [ CrossRef]
Acemoglu, D., 1995. Reward Structures and the Allocation of Talent. European Economic Review, 39(1), pp. 17-33 [ CrossRef]
Acemoglu, D., Hassan, T. A. and Robinson, J. A., 2011. Social Structure and Development: A Legacy of the Holocaust in Russia. The Quarterly Journal of Economics, 126(2), pp. 895-946 [ CrossRef]
Acemoglu, D., Johnson, S. and Robinson, J. A., 2001. The Colonial Origins of Comparative Development: An empirical Investigation. American Economic Review, 91(5), pp. 1369-1401 [ CrossRef]
Acemoglu, D., Johnson, S. and Robinson, J. A., 2002. Reversal of Fortune: Geography and Institutions in the Making of the Modern World Income Distribution. The Quarterly journal of economics, 117(4), pp. 1231-1294 [ CrossRef]
Acemoglu, D., Johnson, S. and Robinson, J. A., 2005. The Rise of Europe: Atlantic Trade, Institutional Change, and Economic Growth. American Economic Review, 95(3), pp. 546-579 [ CrossRef]
Aghion, P. [et al.], 2010. Regulation and Distrust. The Quarterly Journal of Economics, 125(3), pp. 1015-1049 [ CrossRef]
Alesina, A. and Fuchs-Schündeln, N., 2007. Good-bye Lenin (or Not?): The Effect of Communism on People’s Preferences. American Economic Review, 97(4), pp. 1507-1528 [ CrossRef]
Algan, Y. and Cahuc, P., 2010. Inherited Trust and Growth. American Economic Review, 100(5), pp. 2060-92 [ CrossRef]
Amstadt, J., 1969. Die kk Militärgrenze, 1522-1881:(mit einer Gesamtbibliographie). (Vol. 1). Gugel
Banerjee, A. and Iyer, L., 2005. History, Institutions, and Economic Performance: The Legacy of Colonial Land Tenure Systems in India. American Economic Review, 95(4), pp. 1190-1213 [ CrossRef]
Becker, S. O. [et al.], 2016. The Empire is Dead, Long Live the Empire! Long-Run Persistence of Trust and Corruption in the Bureaucracy. The Economic Journal, 126(590), pp. 40-74 [ CrossRef]
Boeckh, K., 2013. Perspektiven einer religions-und kirchengeschichte des südöstlichen europas: Netze über raum und zeit. Beyond the Balkans: Towards an Inclusive History of Southeastern Europe, pp. 199-224
Dell, M., 2010. The Persistent Effects of Peru’s Mining Mita. Econometrica, 78(6), pp. 1863-1903 [ CrossRef]
Fuchs-Schündeln, N. and Hassan, T. A., 2016. Natural Experiments in Macroeconomics. In: Handbook of Macroeconomics, Vol. 2, pp. 923-1012 [ CrossRef]
Gelman, A. and Imbens, G., 2018. Why high-order polynomials should not be used in regression discontinuity designs. Journal of Business & Economic Statistics, pp. 1-10 [ CrossRef]
Glaeser, E. L. [et al.], 2004. Do Institutions Cause Growth? Journal of Economic Growth, 9(3), pp. 271-303 [ CrossRef]
Glaeser, E. L. and Shleifer, A., 2002. Legal Origins. The Quarterly Journal of Economics, 117(4), pp. 1193-1229 [ CrossRef]
Greif, A., 1994. Cultural Beliefs and the Organization of Society: A Historical and Theoretical Reflection on Collectivist and Individualist societies. Journal of Political Economy, 102(5), pp. 912-950 [ CrossRef]
Greif, A., 2006. Institutions and the Path to the Modern Economy: Lessons from Medieval Trade. Cambridge University Press
Guiso, L., Sapienza, P. and Zingales, L., 2004. The Role of Social Capital in Financial Development. American Economic Review, 94(3), pp. 526-556 [ CrossRef]
Guiso, L., Sapienza, P. and Zingales, L., 2011. Civic Capital as the Missing Link. In: Handbook of Social Economics, Vol. 1, pp. 417-480. North-Holland [ CrossRef]
Guiso, L., Sapienza, P. and Zingales, L., 2016. Long-term Persistence. Journal of the European Economic Association, 14(6), pp. 1401-1436 [ CrossRef]
Iyer, L., 2010. Direct versus Indirect Colonial Rule in India: Long-Term Consequences. The Review of Economics and Statistics, 92(4), pp. 693-713 [ CrossRef]
Jancec, M., 2014. Esseys On History, Culture and Economic Outcomes. Doctoral dissertation
Lee, D. S. and Lemieux, T., 2010. Regression discontinuity designs in economics. Journal of Economic Literature, 48(2), pp. 281-355 [ CrossRef]
Michalopoulos, S. and Papaioannou, E., 2013. National Institutions and Subnational Development in Africa. The Quarterly Journal of Economics, 129(1), pp. 151-213 [ CrossRef]
Milgrom, P. R., North, D. C. and Weingast, B. R., 1990. The role of institutions in the revival of trade: The law merchant, private judges, and the champagne fairs. Economics & Politics, 2(1), pp. 1-23 [ CrossRef]
North, D. C. and Thomas, R .P., 1973. The Rise of the Western World: A New Economic History. Cambridge: Cambridge University Press
North, D. C., 1981. Structure and Change in Economic History. Norton
North, D. C., 1990. Institutions, Institutional Change and Economic Performance. Cambridge University Press
Nunn, N. and Wantchekon, L., 2011. The Slave Trade and the Origins of Mistrust in Africa. American Economic Review, 101(7), pp. 3221-52 [ CrossRef]
Nunn, N., 2008. The Long-Term Effects of Africa’s Slave Trades. The Quarterly Journal of Economics, 123(1), pp. 139-176 [ CrossRef]
Regan, K. and Kaniški, T., 2003. Historical Atlas of Croatia
Roksandić D., 1988. Vojna Hrvatska: krajiško društvo u Francuskom Carstvu (1809-1813). Zagreb: Školska knjiga
Rothenberg, G. E., 1960. The Origins of the Austrian Military Frontier in Croatia and the Alleged Treaty of 22 December 1522. The Slavonic and East European Review, 38(91), pp. 493-498
Rothenberg, G. E., 1964. The Struggle over the Dissolution of the Croatian Military Border, 1850-1871. Slavic Review, 23(1), pp. 63-78 [ CrossRef]
Sanford, G., 1992. We the People: The Revolution of ‘89 Witnessed in Warsaw, Budapest, Berlin and Prague / Garton Ash, T. (book review). Slavonic and East European Review, 70(4), pp. 792
Tabellini, G., 2010. Culture and institutions: economic development in the regions of Europe. Journal of the European Economic association, 8(4), pp. 677-716 [ CrossRef]
Thistlethwaite, D. L. and Campbell, D. T., 1960. Regression-discontinuity analysis: An alternative to the ex post facto experiment. Journal of Educational psychology, 51(6), pp. 309 [ CrossRef]
Uberti, L. J., 2018. Corruption in transition economies: Socialist, ottoman or structural? Economic Systems, 42(4), pp. 533-555 [ CrossRef]
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March, 2020 I/2020
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