# **Table OA7. Agricultural Outcomes using Propensity Score Matching**

||Grows<br>maize|Area planted<br>(acres)|Basal fertilizer<br>per acre (Kg)|Total fertilizer per<br>acre (Kg)|Crop failure|Log total yield|
|---|---|---|---|---|---|---|
||(1)|(2)|(3)|(4)|(5)|(6)|
|_Panel A: Full Baseline Sample_|||||||
|Beneficiary|-0.035|-3.435|30.655*|15.463|-0.092**|1.001**|
||_0.244_|_0.211_|_0.060_|_0.238_|_0.037_|_0.031_|
|Lottery|-0.006|-2.477|26.611|9.183|-0.119**|1.151**|
||_0.862_|_0.373_|_0.167_|_0.553_|_0.018_|_0.013_|
|Lottery x Beneficiary|0.047|1.776|-48.595**|-17.156|0.117**|-0.896*|
||_0.260_|_0.566_|_0.038_|_0.274_|_0.026_|_0.084_|
|R-squared|0.005||||0.020||
|Mean of dep. var. for NB in NL vil.|0.959|5.89|3.08|14.70|0.186|3.97|
|P-val of B = NB in L villages|_0.638_|_0.292_|_0.290_|_0.849_|_0.385_|_0.649_|
|Model|OLS|Tobit|Tobit|Tobit|OLS|Tobit|
|Percentage of censured observations||0.04|0.88|0.64||0.15|
|Number of plots||531|531|531|531|531|
|Number of households|427|427|427|427|427|427|
|_Panel B: Matched Baseline Sample_|||||||
|Beneficiary|-0.026|-6.142|32.151|7.575|-0.032|0.761|
||_0.440_|_0.240_|_0.203_|_0.670_|_0.596_|_0.102_|
|Lottery|-0.010|-5.368|31.212|3.100|-0.069|0.936**|
||_0.791_|_0.300_|_0.294_|_0.876_|_0.222_|_0.035_|
|Lottery x Beneficiary|0.037|4.347|-41.644|-7.094|0.066|-0.801|
||_0.449_|_0.414_|_0.182_|_0.717_|_0.342_|_0.135_|
|R-squared|0.002||||0.006||
|Mean of dep. var. for NB in NL vil.|0.958|8.92|2.71|18.33|0.136|4.13|
|P-val of B = NB in L villages|_0.749_|_0.304_|_0.620_|_0.961_|_0.311_|_0.883_|
|Model|OLS|Tobit|Tobit|Tobit|OLS|Tobit|
|Percentage of censured observations||0.041|0.884|0.618||0.138|
|Number of plots||414|414|414|414|414|
|Number of households|330|330|330|330|330|330|

Note: This table reports the estimation of the following specifications: _y ijk = α ijk + β 1 Beneficiary ij + β 2 Lottery j + β 3 Lottery j *Beneficiary ij + ε ijk_ , where _i_ indexes the individual (household), _j_ indexes the village and _k_ indexes plots. _Beneficiary ij_ is a dummy that takes value of 1 if the individual _i_ in village _j_ is a beneficiary of the NAIVS voucher program in 2010/11. _Lottery j_ is a dummy that takes value of 1 if beneficiaries in village _j_ were chosen using a lottery. The models presented here are not adjusted for any baseline covariates. Dependent variables are constructed based on questions asked on follow-up household survey. Data are restricted to baseline respondents in both panels. Panel A reports results using full baseline sample of households. In Panel B the sample is restricted to households in non-lottery who are similar in observable characteristics based on a nearest neighbor propensity score matching algorithm. The sample in Panel B also include households in lottery village who share the propensity score distribution support of households in no lottery villages. The dependent variable in Column 1 is a dummy that indicates whether or not the HH grew maize in 2010/11. Column 2 reports area planted. Columns 3 and 4 report use of basal fertilizer (DAP) and total fertilizer (basal + top-dressing or urea) per acre in kilograms, respectively. Dependent variable in Column 5 is a dummy indicating crop failure. Column 6 reports log yield (Kg/Area) including plots with crop failure. The outlier plots with yields over 4000 kg per area planted or harvested are dropped out of the regressions. P-values are computed using the t-asymptotic wild cluster bootstrap procedure described in Cameron et al. (2008) and reported below the coefficients. Clustering was done at the village level. ***,**,* denote statistical significance at the 1, 5 and 10 percent level, respectively. See Appendix Table 1 for definition of variables.