<!-- Start of picture text --> Corresponding Correlation with Question asked to village | Regressions with average rank of maize<br>Skill Index corresponding skill index informant yield as dependent variable<br>Cognitive 0.43 Level of education 5.08*** 1.49<br>(1.24) (1.48)<br>Non-cognitive 0.22 Active/ Motivated 3.45* 3.03<br>(1.77) (1.91)<br>Technical 0.15 Agricultural knowledge 5.44*** 4.83***<br>(1.49) (1.50)<br>Controls Vil. FE Vil. FE All<br><!-- End of picture text -->

|Corresponding<br>Skill Index|Correlation with<br>corresponding skill index|Question asked tovillage<br>informant|| Regressions <br>yield a|with average r<br>s dependent va|ank of maize<br>riable|
|---|---|---|---|---|---|
|Cognitive|0.43|Level of education||5.08***|1.49|
|||||(1.24)|(1.48)|
|Non-cognitive|0.22|Active/Motivated||3.45*|3.03|
|||||(1.77)|(1.91)|
|Technical|0.15|Agricultural knowledge||5.44***|4.83***|
|||||(1.49)|(1.50)|
|||Controls|Vil. FE|Vil. FE|All|
|||Observations|887|887|887|
|||R-squared|0.274|0.355|0.421|
|||FTest||0.000|4.63e-07|

Note: Skill proxies obtained through village informant (CHW), scored on scale from 1 (low) to 3 (high). The right side of the table presents the correlation of the three questions asked to the village informant with the improved index of the correponding skill, which the question intended to proxy. In the regressions, the dependent variable is the average rank of maize yields calculated over the 4 seasons (short rain 14 to long rain 16). Controls include education, literacy, gender, age and age squared of the farmer, land and cattle ownership, size and quality of the house, household size, whether the farmer is the household head, household head’s gender, village fixed effects and enumerator-assignment fixed effects. Robust standard errors in parentheses. *** p<0.01, ** p<0.05, * p<0.1 <!-- Start of picture text --> Extraversion Agreeableness onsciennous: Neuroticism Openness Average<br>All 0.42 0.56 0.43 0.27 0.34 0.40<br>Kenya C08 above 0.49 0.44 0.47 0.30 0.28 0.40<br>Sample median<br>oeow 0.60 0.50 0.44 0.35 0.27 0.43<br><!-- End of picture text -->

|||Extraversion|Agreeableness|onsciennous:|Neuroticism|Openness|Average|
|---|---|---|---|---|---|---|---|
||All|0.42|0.56|0.43|0.27|0.34|0.40|
|Kenya<br>Sample|C08 above<br>median|0.49|0.44|0.47|0.30|0.28|0.40|
||<br>oeow|0.60|0.50|0.44|0.35|0.27|0.43|
|monies|Spain<br>Dutch|0.95<br>0.94|0.93<br>0.91|0.95<br>0.94|0.96<br>0.94|0.86<br>0.64|0.93<br>0.87|
||German|0.93|0.60|0.96|0.94|0.39|0.76|

<!-- Start of picture text --> Dutch 0.94 0.91 0.94 0.94 0.64 0.87<br>monies Spain 0.95 0.93 0.95 0.96 0.86 0.93<br>German 0.93 0.60 0.96 0.94 0.39 0.76<br>Note: To have comparable results for different countries, the same substet of questions was kept, using Big5 data. data.<br>from other countries, and the factorial analysis uses varimax rotation. The absolute value of correlations between<br>factor loads is used to calculate congruence.<br><!-- End of picture text --> Note: To have comparable results for different countries, the same substet of questions was kept, using Big5 data. data. from other countries, and the factorial analysis uses varimax rotation. The absolute value of correlations between factor loads is used to calculate congruence.