Corruption–perception equation

Corruption–perception equation. Equation–by–equation estimates

Institution
---
Parameter

Central
Goverment

Local
Goverment

Juridical
Institutions

Inspections

Police

Army

Educational
Establishm.

Medical
Establishm.

State TV

Privatization
Authorities

Banks

Constant

2.15^a

1.65^a

2.31^a

2.59^a

2.09^a

1.10^a

1.62^a

1.97^a

1.60^a

1.33^a

1.21^a

[.000]

[.002]

[.000]

[.003]

Frequency of

0.04

-0.04

0.13

0.03

0.16^b

0.09

-0.07

-0.09

0.17

-0.37^a

-0.25^c

Visits=1

[.856]

[.570]

[.211]

[.694]

[.036]

[.565]

[.328]

[.207]

[.573]

[.000]

[.060]

Frequency of

0.10

-0.01

-0.13

-0.08

-0.26

Visits=2

[.355]

[.915]

[.106]

[.753]

[.160]

Frequency of

0.12

-0.28

Visits=3

[.206]

[.221]

Press =1

-0.41^c

-0.80^a

-0.70^a

-0.12

-0.37

-0.64^a

-0.07

-0.51^b

-0.44^c

-0.54^b

[.093]

[.000]

[.007]

[.660]

[.137]

[.006]

[.732]

[.035]

[.046]

[.073]

[.031]

Press =2

-0.56^b

-0.78^a

-0.69^b

-0.01

-0.40

-0.75^a

-0.09

-0.62^b

-0.18

-0.51^c

-0.75^b

[.049]

[.004]

[.020]

[.976]

[.172]

[.007]

[.733]

[.027]

[.552]

[.085]

[.013]

Press =3

-0.44^c

-0.65^b

-0.82^a

-0.04

-0.40

-0.94^a

0.17

-0.17

-0.34

-0.47^c

-0.64^b

[.098]

[.011]

[.004]

[.901]

[.151]

[.000]

[.461]

[.535]

[.249]

[.091]

[.024]

Press =4

-0.57^b

-0.94^a

-0.78^a

-0.17

-0.29

-0.82^a

-0.20

-0.46^c

-0.66^b

-0.47^c

-0.58^b

[.027]

[.000]

[.004]

[.538]

[.282]

[.001]

[.370]

[.070]

[.018]

[.081]

[.035]

Press =5

-0.55^c

-0.75^a

-0.69^b

-0.18

-0.43

-0.85^a

-0.26

-0.50^c

-0.48

-0.59^b

-0.54^c

[.051]

[.006]

[.019]

[.545]

[.140]

[.003]

[.287]

[.071]

[.118]

[.039]

[.075]

TV=1

-0.49^b

-0.23

-0.24

-0.59^b

-0.20

0.12

-0.10

-0.17

-0.12

-0.37

-0.33

[.023]

[.228]

[.287]

[.012]

[.385]

[.561]

[.598]

[.447]

[.629]

[.100]

[.161]

TV=2

0.29

0.33

0.13

-0.30

-0.07

0.36

0.19

0.06

-0.17

-0.03

0.17

[.287]

[.158]

[.637]

[.277]

[.803]

[.158]

[.402]

[.811]

[.568]

[.912]

[.552]

TV=3

-0.58^b

-0.21

-0.14

-0.68^a

0.06

0.33

-0.15

-0.16

-0.29

-0.31

-0.32

[.016]

[.336]

[.593]

[.009]

[.820]

[.170]

[.472]

[.512]

[.306]

[.222]

[.226]

TV=4

-0.39^c

-0.11

-0.09

-0.50^b

-0.03

0.20

0.06

-0.27

0.01

-0.32

-0.20

[.094]

[.613]

[.701]

[.045]

[.901]

[.367]

[.784]

[.231]

[.971]

[.181]

[.415]

TV=5

-0.30

-0.23

-0.15

-0.41

0.01

0.32

0.08

-0.22

-0.10

-0.29

-0.22

[.247]

[.328]

[.568]

[.135]

[.957]

[.226]

[.720]

[.386]

[.739]

[.265]

[.427]

Radio=1

0.32

0.26

-0.34

-0.39

-0.16

-0.15

-0.10

0.28

-0.20

0.23

-0.13

[.252]

[.375]

[.300]

[.254]

[.620]

[.587]

[.691]

[.306]

[.501]

[.448]

[.680]

Radio=2

0.13

0.12

-0.28

-0.36

-0.10

-0.15

0.16

0.40

-0.84^b

0.35

-0.14

[.697]

[.729]

[.445]

[.343]

[.784]

[.635]

[.580]

[.218]

[.017]

[.327]

[.689]

Radio=3

0.45

0.10

-0.31

-0.21

-0.28

-0.05

0.04

0.47

-0.33

0.18

-0.07

[.143]

[.755]

[.384]

[.570]

[.407]

[.863]

[.881]

[.134]

[.335]

[.588]

[.828]

Radio=4

0.36

0.21

-0.48

-0.36

-0.26

-0.15

-0.02

0.12

-0.06

0.32

-0.12

[.226]

[.504]

[.166]

[.313]

[.436]

[.604]

[.928]

[.679]

[.855]

[.330]

[.714]

Radio=5

0.01

0.32

-0.33

-0.47

-0.12

-0.30

-0.21

0.37

-0.26

0.21

-0.01

[.985]

[.368]

[.384]

[.222]

[.752]

[.378]

[.491]

[.267]

[.477]

[.554]

[.974]

Friends

0.01

0.00

-0.06

0.05

0.01

0.03

-0.08

0.00

-0.06

[.903]

[.938]

[.973]

[.341]

[.420]

[.465]

[.854]

[.613]

[.300]

[.982]

[.355]

Strangers

-0.02

0.00

0.15^c

0.05

0.24^a

0.03

0.11

0.22^a

0.02

-0.11

0.06

[.766]

[.955]

[.056]

[.548]

[.005]

[.710]

[.129]

[.006]

[.862]

[.169]

[.466]

Experience

0.14^c

0.15^b

0.28^a

0.18^b

0.27^a

0.26^a

0.25^a

0.19^b

0.32^a

0.18^b

[.051]

[.031]

[.000]

[.010]

[.000]

[.022]

[.000]

[.020]

Town size 2

0.20^c

0.32^a

0.35^a

0.15

0.26^b

0.33^a

0.30^a

0.24^b

0.53^a

0.21^c

0.20^c

[.054]

[.005]

[.001]

[.154]

[.017]

[.003]

[.002]

[.021]

[.000]

[.071]

[.086]

Town size 3

0.49^a

0.63^a

0.49^a

0.51^a

0.33^a

0.36^a

0.39^a

0.33^a

0.64^a

0.47^a

0.34^a

[.000]

[.001]

[.000]

[.001]

Town size 4

-0.01

0.38^a

-0.05

-0.02

-0.13

0.02

-0.01

-0.15^c

0.17

-0.09

-0.18^c

[.951]

[.000]

[.614]

[.840]

[.141]

[.831]

[.884]

[.082]

[.110]

[.384]

[.084]

Town size 5

0.35^a

0.58^a

0.47^a

0.52^a

0.49^a

0.27^a

0.26^a

0.04

0.88^a

0.27^a

0.24^b

[.000]

[.002]

[.001]

[.658]

[.000]

[.003]

[.010]

Peasant

-0.07

0.14

-0.19

0.31

0.23

0.13

-0.42^c

-0.43^c

-0.19

0.11

-0.14

[.788]

[.591]

[.471]

[.221]

[.361]

[.634]

[.065]

[.078]

[.511]

[.689]

[.622]

Worker

-0.04

0.34

-0.02

0.32

0.47^b

0.12

0.11

0.05

-0.29

0.25

0.11

[.835]

[.114]

[.926]

[.124]

[.019]

[.579]

[.573]

[.803]

[.219]

[.253]

[.654]

Clerk

-0.25

0.24

-0.11

0.02

0.15

-0.06

0.08

-0.02

-0.35

0.12

-0.04

[.248]

[.275]

[.607]

[.908]

[.455]

[.795]

[.676]

[.940]

[.150]

[.582]

[.858]

Specialist

-0.31

0.21

-0.28

0.21

0.18

0.13

-0.20

-0.12

-0.43^c

0.31

-0.01

[.164]

[.346]

[.209]

[.322]

[.376]

[.563]

[.292]

[.575]

[.078]

[.177]

[.962]

Businesman

-0.07

0.32

0.02

0.36

0.21

-0.01

-0.08

-0.35

-0.31

0.06

-0.07

[.799]

[.225]

[.932]

[.146]

[.403]

[.967]

[.709]

[.157]

[.272]

[.831]

[.801]

Retired

-0.30

0.31

-0.26

0.15

0.30

0.09

-0.06

-0.16

-0.31

0.10

-0.25

[.191]

[.178]

[.256]

[.488]

[.163]

[.703]

[.756]

[.465]

[.219]

[.674]

[.321]

Student

-0.27

0.07

-0.27

0.12

0.27

-0.11

0.08

-0.31

-0.18

0.04

-0.04

[.256]

[.777]

[.242]

[.581]

[.219]

[.632]

[.693]

[.177]

[.484]

[.885]

[.875]

Homemaker

-0.28

0.22

-0.09

0.02

0.29

0.21

0.12

0.07

-0.25

0.26

0.03

[.225]

[.332]

[.700]

[.927]

[.186]

[.373]

[.551]

[.759]

[.345]

[.267]

[.895]

Unemployed

-0.05

0.38^c

-0.01

0.32

0.41^b

0.10

-0.06

-0.16

-0.26

0.28

0.07

[.815]

[.081]

[.963]

[.130]

[.046]

[.659]

[.757]

[.457]

[.280]

[.219]

[.786]

Age

0.01^a

0.00

0.01^a

0.00

0.01^b

0.00

0.01^b

0.01^a

0.02^a

[.000]

[.148]

[.001]

[.480]

[.042]

[.828]

[.542]

[.032]

[.001]

[.000]

Gender

0.14^c

0.11

0.04

0.01

0.02

0.01

-0.07

0.02

-0.10

-0.04

[.052]

[.131]

[.531]

[.941]

[.738]

[.908]

[.878]

[.277]

[.751]

[.147]

[.557]

Correction

0.40

0.48

-0.17

-0.20

0.30

-0.81^c

-0.19

-0.27

0.61

-0.03

-0.34

variable

[.288]

[.193]

[.613]

[.467]

[.364]

[.069]

[.569]

[.513]

[.157]

[.928]

[.291]

P-values are in parenthesis. ^a – significant on 1% level, ^b– significant on 5% level, ^c – significant on 10% level