 |
Vertical Integration in Municipal Service Provision:
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| | Unformatted Document Text:
Table 3
Ferris and Graddy
Stein
Brown and Potoski
β
se
Influence
1
β
se
Influence
1
β
se
Influence
1
For-profit
-0.111
0.098
--
-0.016
0.058
--
-0.409
0.041
-0.161
Joint Contracting
0.768
0.099
0.250
0.687
0.060
0.243
0.140
0.040
0.052
Public Works
-0.336
0.103
-0.068
--
--
--
--
--
--
HHS
-0.328
0.129
-0.067
--
--
--
--
--
--
Collective
--
--
--
-0.161
0.067
-0.044
--
--
--
Private
--
--
--
-0.118
0.076
-0.033
--
--
--
Asset Specificity
--
--
--
--
--
--
-0.167
0.032
-0.065
Meterability
--
--
--
--
--
--
0.033
0.041
--
Council-Manager
0.109
0.111
--
-0.035
0.071
--
-0.127
0.045
-0.049
Number of Services
-0.013
0.005
-0.028
-0.014
0.003
-0.036
0.002
0.002
--
Total Private Firms
0.000
0.000
-0.041
0.000
0.000
-0.019
0.000
0.000
-0.014
Population Change
0.000
0.000
--
0.000
0.000
--
0.000
0.000
--
Median Houshold Income
0.000
0.000
--
0.000
0.000
-0.032
0.000
0.000
-0.041
Proportion White
0.073
0.225
--
0.226
0.157
0.014
0.465
0.102
0.036
Constant
-0.619
0.246
--
-0.360
0.160
--
0.225
0.159
--
χ
2
= 103.16, p = 0.000
χ
2
= 200.99, p = 0.000
χ
2
= 218.33, p = 0.000
n = 1116
n = 2337
n = 5071
1
“Influence” is defined as the change in predicted probability when, holding all other variables at their means and setting dichotomous variables to
zero, the variable of interest is moved from its mean to one standard deviation above its mean or from zero to one for dummy variables.
|
| | Authors: Feiock, Richard., Lamothe, Scott. and Lamothe, Meeyoung. |
|
| |
|
|
Table 3
Ferris and Graddy
Stein
Brown and Potoski
β
se
Influence
1
β
se
Influence
1
β
se
Influence
1
For-profit
-0.111
0.098
--
-0.016
0.058
--
-0.409
0.041
-0.161
Joint Contracting
0.768
0.099
0.250
0.687
0.060
0.243
0.140
0.040
0.052
Public Works
-0.336
0.103
-0.068
--
--
--
--
--
--
HHS
-0.328
0.129
-0.067
--
--
--
--
--
--
Collective
--
--
--
-0.161
0.067
-0.044
--
--
--
Private
--
--
--
-0.118
0.076
-0.033
--
--
--
Asset Specificity
--
--
--
--
--
--
-0.167
0.032
-0.065
Meterability
--
--
--
--
--
--
0.033
0.041
--
Council-Manager
0.109
0.111
--
-0.035
0.071
--
-0.127
0.045
-0.049
Number of Services
-0.013
0.005
-0.028
-0.014
0.003
-0.036
0.002
0.002
--
Total Private Firms
0.000
0.000
-0.041
0.000
0.000
-0.019
0.000
0.000
-0.014
Population Change
0.000
0.000
--
0.000
0.000
--
0.000
0.000
--
Median Houshold Income
0.000
0.000
--
0.000
0.000
-0.032
0.000
0.000
-0.041
Proportion White
0.073
0.225
--
0.226
0.157
0.014
0.465
0.102
0.036
Constant
-0.619
0.246
--
-0.360
0.160
--
0.225
0.159
--
χ
2
= 103.16, p = 0.000
χ
2
= 200.99, p = 0.000
χ
2
= 218.33, p = 0.000
n = 1116
n = 2337
n = 5071
1
“Influence” is defined as the change in predicted probability when, holding all other variables at their means and setting dichotomous variables to
zero, the variable of interest is moved from its mean to one standard deviation above its mean or from zero to one for dummy variables.
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