**Table 5.1: Hedonic Rent Regression Results for Urban Kenya**<sup>a</sup>

||**MODEL**<br>|**1**<br>||**MODEL 2**<br>|<br>||**MODEL3**<br>||**MO**|**DEL 4**<br>||
|---|---|---|---|---|---|---|---|---|---|---|---|
|**Rent Drivers**<br>Coeff<br>.|Std.<br>Err.|_p_-<br>Value|Coeff.|Std.<br>Err.|_p_-<br>Value|Coeff.|Std.<br>Err.|_p_-<br>Value|Coeff.|Std.<br>Err.|_p_-<br>Value|
|**Unit Size, Quality & Type**||||||||||||
|Rooms<br>0.148|0.048|0.002|0.147|0.048|0.002|0.127|0.044|0.004|0.143|0.048|0.003|
|Building quality<br>0.210|0.045|0.000|0.216|0.046|0.000|0.172|0.055|0.002|0.217|0.048|0.000|
|Perm wall<br>0.243|0.026|0.000|0.255|0.027|0.000|0.282|0.025|0.000|0.326|0.027|0.000|
|Perm floor<br>0.291|0.036|0.000|0.305|0.036|0.000|0.324|0.036|0.000|0.381|0.036|0.000|
|Kitchen<br>0.651|0.098|0.000|0.624|0.102|0.000|0.384|0.160|0.016|0.570|0.116|0.000|
|_Unit Type (Base: Compound house)_||||||||||||
|Single-family<br>0.029|0.030|0.333|0.047|0.031|0.128|0.033|0.027|0.228|0.043|0.030|0.157|
|Apartment<br>0.123|0.147|0.401|0.110|0.147|0.453|-0.012|0.124|0.926|0.063|0.143|0.659|
|Dormitory<br>0.029|0.041|0.475|0.019|0.043|0.654|0.018|0.039|0.643|0.033|0.042|0.432|
|Shared house/room<br>0.062|0.035|0.081|-0.069|0.035|0.050|-0.062|0.034|0.069|-0.086|0.035|0.013|
|Other<br>0.098|0.098|0.317|-0.098|0.095|0.302|-0.033|0.131|0.799|-0.070|0.131|0.590|
|**Infrastructure: Unit & Neighborho**|**od Level**|||||||||||
|Electricity<br>0.332|0.023|0.000|0.297|0.040|0.000|0.310|0.038|0.000|0.109|0.037|0.003|
|Piped water<br>0.142|0.027|0.000|0.134|0.028|0.000|0.194|0.084|0.021|0.110|0.045|0.015|
|Toilet access<br>0.088|0.026|0.001|0.124|0.032|0.000|0.414|0.136|0.002|0.240|0.068|0.000|
|Drain outside<br>0.004|0.028|0.899|0.009|0.032|0.790|0.012|0.025|0.625|0.005|0.032|0.877|
|Roads paved<br>0.025|0.035|0.461|0.031|0.037|0.403|0.037|0.049|0.450|0.017|0.048|0.719|
|Street Lights<br>-<br>0.021|0.025|0.403|-0.043|0.033|0.190|-0.042|0.033|0.209|-0.045|0.032|0.164|
|Public sewer<br>0.067|0.033|0.043|0.019|0.032|0.557|0.062|0.025|0.013|0.026|0.035|0.453|
|Garbage collection<br>0.084|0.023|0.000|0.160|0.038|0.000|0.139|0.036|0.000|0.148|0.035|0.000|
|**Neighborhood Conditions & Locati**<br>-|**on**|||||||||||
|Primary school<br>0.013|0.059|0.824|-0.012|0.057|0.835|-0.007|0.054|0.896|-0.001|0.058|0.992|
|Considers safe<br>0.089|0.024|0.000|0.077|0.023|0.001|0.078|0.022|0.000|0.081|0.022|0.000|
|Public transport<br>0.071|0.028|0.013|0.066|0.028|0.017|0.057|0.029|0.049|0.088|0.029|0.003|
|No flooding<br>0.073|0.025|0.003|0.078|0.023|0.001|0.070|0.022|0.001|0.066|0.023|0.005|
|City location|B|||b|||b|||||
|**Tenure**||||||||||||
|House secure<br>0.019|0.026|0.471|0.023|0.026|0.371|0.028|0.025|0.263|0.029|0.026|0.263|
|Stay in unit<br>-<br>0.001|0.000|0.000|-0.001|0.000|0.000|-0.001|0.000|0.000|-0.001|0.000|0.000|
|Constant<br>5.949|0.082|0.000|5.979|0.079|0.000|6.050|0.073|0.000|6.121|0.081|0.000|
|Number of Obs.|10,390|||10,389|||10,389|||10,389||
|Adj. R<sup>2</sup><br>0.|646(0.40|2)<sup>c</sup>|0.|646(0.431|)<sup>c</sup>|0.|657(0.546|)<sup>c</sup>||0.637 (0|.449)<sup>c</sup>|

_Notes:_<sup>a</sup> Each regression model is a semilog model with log of monthly rent (in Ksh. per month) as the dependent variable. It is estimated using the sampling weights for households. Standard error values of the coefficients are based on Huber and White (or, robust) estimator of variance.<sup>b</sup> The results for the 14 city-specific location dummy variables are not shown here to conserve space. Relative to the “base” city (Embu), 9 of the 14 city locations are statistically significant (at p < 0.1 level) in each of the models.<sup>c</sup> The adjusted R2 value shown in parenthesis is when the model is run with the set of 8 infrastructure service variables as the _only_ explanatory variables.

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