Table 6.
Determinants of the difference in percent of X houses converted to P between CMC and non-CMC areas of a block*
Variable | Coefficient | Std. Err. | z | p value | [95% Confidence Interval] | |||
---|---|---|---|---|---|---|---|---|
(Constant) |
12.14412 |
4.70592 |
2.58 |
0.010 |
2.920682 |
21.36755 |
||
Number of children < 5 years |
−.0006623 |
.0003569 |
−1.86 |
0.063 |
−.0013618 |
.0000372 |
||
District | ||||||||
1 |
Baghpat (Index) |
− |
− |
− |
− |
− |
− |
|
2 |
Bareilly |
−2.262005 |
1.151339 |
−1.96 |
0.049 |
−4.518589 |
−.0054215 |
|
3 |
Mau |
6.324774 |
1.667669 |
3.79 |
0.000 |
3.056204 |
9.593345 |
|
4 |
Meerut |
−10.04491 |
.8974011 |
−11.19 |
0.000 |
−11.80379 |
−8.286038 |
|
5 |
Moradabad |
−4.138752 |
1.738614 |
−2.38 |
0.017 |
−7.546373 |
−.7311312 |
|
6 |
Muzafarnagar |
−5.157229 |
1.138899 |
−4.53 |
0.000 |
−7.389431 |
−2.925028 |
|
7 |
Rampur |
−7.979791 |
.4193138 |
−19.03 |
0.000 |
−8.801630 |
−7.157951 |
|
8 |
Saharanpur |
−9.242826 |
1.04674 |
−8.83 |
0.000 |
−11.29440 |
−7.191252 |
|
9 |
Shahjahanpur |
2.645487 |
2.01286 |
1.31 |
0.189 |
−1.299647 |
6.590620 |
|
|
Sitapur |
−1.617467 |
3.03375 |
−0.53 |
0.594 |
−7.563508 |
4.328574 |
|
Number of Mosque Announcements (Quartile, Percentile) | ||||||||
1 |
< 25th |
(Index) |
− |
− |
− |
− |
− |
− |
2 |
25–50th |
3.280323 |
1.684365 |
1.95 |
0.051 |
−.020971 |
6.581618 |
|
3 |
50-75th |
4.814767 |
1.924814 |
2.50 |
0.012 |
1.042201 |
8.587334 |
|
4 |
> 75th |
4.742434 |
2.12667 |
2.23 |
0.026 |
.5742373 |
8.910632 |
|
Number of Bullawa Tollies (Quartile, Percentile) | ||||||||
1 |
< 25th |
(Index) |
− |
− |
− |
− |
− |
− |
2 |
25–50th |
.1520856 |
.8256602 |
0.18 |
0.854 |
−1.466179 |
1.770350 |
|
3 |
50-75th |
1.929366 |
1.24142 |
1.55 |
0.120 |
−.5037729 |
4.362504 |
|
4 |
> 75th |
3.365150 |
1.794372 |
1.88 |
0.061 |
−.1517546 |
6.882054 |
|
Variance of fixed effects: |
43.142147 |
6.7934335 |
|
|
|
|
||
Variance of random effects | 14.77656 | 5.8608284 |
* Coefficients and standard errors adjusted for differences between Blocks and changes within Block values over time (time-varying covariate values at the Block level) by using a Generalized Linear Latent And Mixed Model (GLLAMM).