**Table 7: Correlations between socio-emotional skills and earnings - Heterogeneity along Employment type**

|**_Panel A: Aggregate Skills_**||NonAgr SE|Earni|ngs|Wage||||||
|---|---|---|---|---|---|---|---|---|---|---|
||All|Intra<br>|Inter|All|Intra<br>|Inter|||||
||(1)|(2)|(3)|(4)|(5)|(6)|||||
|Woman|-0.488***|-0.492***|-0.515***|-0.736***|-0.738***|-0.776***|||||
|SE skills|(0.083)<br>0.088***|(0.082)<br>0.084***|(0.080)<br>0.041|(0.156)<br>0.135*|(0.156)<br>0.124*|(0.122)<br>0.047|||||
||(0.030)|(0.029)|(0.034)|(0.077)|(0.067)|(0.080)|||||
|Woman*SE skills|0.007<br>|0.002<br>|0.027<br>|-0.072<br>|-0.100<br>|0.058<br>|||||
|Education attainment|(0.041)<br>0.039***|(0.042)<br>0.039***|(0.043)<br>0.046***|(0.083)<br>0.024|(0.074)<br>0.024|(0.086)<br>0.009|||||
||(0008)|(0008)|(0008)|(0019)|(0018)|(0017)|||||
|Woman*Education attainment|.<br>-0.007|.<br>-0.007|.<br>-0.012|.<br>0.038**|.<br>0.038**|.<br>0.036***|||||
||(0.009)|(0.009)|(0.009)|(0.015)|(0.015)|(0.014)|||||
|Observations|10,953|10,950|8,311|14,233|14,232|11,856|||||
|R-squared<br>|0.436<br>|0.436<br>|0.501<br>|0.629<br>|0.628<br>|0.674<br>|||||
|P-val SE skills+Woman*SE skills=0<br>P-val Woman + Woman*SE skills=0|0.001<br>0.000|0.005<br>0.000|0.010<br>0.000|0.136<br>0.000|0.551<br>0.000|0.005<br>0.000|||||
|<br>Mean monthly earnings for Men|269.9|269.9|304.9|143.7|143.7|172.7|||||
|Mean monthlyearnings for Women|177.7|176.6|196.3|76.85|76.85|80.64|||||
|**PANEL B: NON-AGRICULTURAL SELF-E**|**MPLOYMENT**||||||||||
||||||Problem<br>|Earnings|||||
||Positive Self|Emotional||Personal|<br>l|lf l|h||Interpersonal|k|
||Concept|Regulation|Perseverance|Initiative|Soving &<br>DecMaking|Se Contro|Empaty|Expressiveness|Relatedness|Teamwor|
||(1)|(2)|(3)|(4)|(5)|(6)|(7)|(8)|(9)|(10)|
|Woman|-0.528***|-0.534***|-0.471***|-0.286***|-0.559***|-0.376***|-0.094|-0.497***|-0.485***|-0.510***|
||(0.081)<br>|(0.156)<br>|(0.085)<br>|(0.097)<br>|(0.079)<br>|(0.082)<br>|(0.188)<br>|(0.161)<br>|(0.098)<br>|(0.095)<br>|
|SE skills|0.114***|-0.015|0.014|0.016|0.075***|0.053*|-0.030|0.046|-0.002|0.018|
|*|(0.030)<br>**|(0.040)<br>|(0.032)<br>**|(0.050)<br>**|(0.028)<br>|(0.028)<br>|(0.049)<br>|(0.041)<br>|(0.033)<br>|(0.056)<br>|
|WomanSE skills<br>Education attainment|-0.088<br>(0.043)<br>0042***|0.004<br>(0.058)<br>0047***|0.098<br>(0.042)<br>0046***|0.133<br>(0.067)<br>0042***|-0.009<br>(0.041)<br>0037***|-0.052<br>(0.043)<br>0051***|0.079<br>(0.067)<br>0071***|-0.002<br>(0.056)<br>0048***|0.010<br>(0.047)<br>0052***|0.101<br>(0.072)<br>0045***|
||.<br>(0.007)|.<br>(0.011)|.<br>(0.009)|.<br>(0.012)|.<br>(0.007)|.<br>(0.011)|.<br>(0.015)|.<br>(0.012)|.<br>(0.008)|.<br>(0.014)|
|Woman*Education attainment|-0.011|0.000|-0.013|-0.034***|0.006|-0.026**|-0.043**|-0.015|-0.004|-0.030**|
||(0.010)|(0.015)|(0.009)|(0.013)|(0.009)|(0.011)|(0.019)|(0.015)|(0.010)|(0.013)|
|Observations|8,692|4,611|10,559|6,050|7,939|6,492|3,153|5,033|5,781|4,033|
|R-squared|0.527|0.474|0.432|0.225|0.554|0.33|0.408|0.438|0.593|0.298|
|P-val SE skills+Woman*SE skills=0|0.405|0.783|0.000|0.001|0.026|0.989|0.290|0.249|0.796|0.008|
|P-val Woman + Woman*SE skills=0<br>|0.000<br>|0.001<br>|0.000<br>|0.205<br>|0.000<br>|0.000<br>|0.938<br>|0.003<br>|0.000<br>|0.000<br>|
|Mean monthly earnings for Men|301.2|521.3|256.5|100.9|343.7|85.11|671.4|484.2|381|64.86|
|Mean monthlyearnings for Women<br>|202|310|171.1|72.84|208.8|57.49|452.1|297.9|267.9|41.15|
|**PANEL C: WAGE EMPLOYMENT**|||||||||||
||||||<br>|Earnings|||||
||Positive Self<br>|Emotional<br>|Perseverance|Personal<br>|Problem<br>Solving &|Self Control|Empathy|Expressiveness|Interpersonal<br>|Teamwork|
||Concept|Regulation||Initiative|DecMaking||||Relatedness||
||(1)|(2)|(3)|(4)|(5)|(6)|(7)|(8)|(9)|(10)|
|Woman|-0.653***|-0.932***|-0.759***|-0.863***|-0.845***|-0.927***|-0.984***|-0.887***|-0.479***|-0.798***|
||(0.168)<br>|(0.238)<br>|(0.109)<br>|(0.131)<br>|(0.177)<br>|(0.157)<br>|(0.337)<br>|(0.231)<br>|(0.134)<br>**|(0.113)<br>**|
|SE skills|0.008<br>(0.067)|0.047<br>(0.102)|0.163<br>(0.117)|-0.078<br>(0.081)|0.096<br>(0.071)|0.139<br>(0.146)|0.141<br>(0.129)|0.155<br>(0.106)|-0.124<br>(0.062)|-0.118<br>(0.051)|
|Woman*SE skills|0023|-0087|-0105|0145|-0053|-0208|0038|-0070|0167**|0195***|
||.<br>(0.096)|.<br>(0.110)|.<br>(0.116)|.<br>(0.102)|.<br>(0.081)|.<br>(0.155)|.<br>(0.147)|.<br>(0.112)|.<br>(0.069)|.<br>(0.069)|
|Education attainment|0.044**|-0.009|0.010|-0.010|0.016|-0.018|-0.002|-0.004|0.016|0.009|
||(0.022)|(0.023)|(0.014)|(0.020)|(0.022)|(0.026)|(0.028)|(0.023)|(0.019)|(0.016)|
|Woman*Education attainment|0.037**<br>(0.018)|0.054**<br>(0.022)|0.033***<br>(0.012)|0.026<br>(0.017)|0.053***<br>(0.019)|0.030<br>(0.025)|0.054*<br>(0.033)|0.044**<br>(0.021)|0.015<br>(0.015)|0.004<br>(0.013)|
|Observations|11,089|5,406|14,135|8,117|9,871|6,917|2,701|6,934|9,221|7,242|
|R-squared<br>|0.581|0.71|0.663|0.509|0.674|0.494|0.554|0.658|0.759|0.487|
|P-val SE skills+Woman*SE skills=0|0.626|0.368|0.047|0.220|0.312|0.271|0.051|0.080|0.242|0.097|
|P-val Woman + Woman*SE skills=0<br>|0.000<br>|0.000<br>|0.000<br>|0.000<br>|0.000<br>|0.000<br>|0.020<br>|0.001<br>|0.030<br>|0.000<br>|
|Mean monthly earnings for Men|179.6|269.3|143.9|72.91|171.5|35.34|448.2|261|180.4|83.95|
|Mean monthlyearnings for Women|93.64|151.2|76.56|24.27|75.03|8.467|325|150.7|78.22|25.06|

Note: OLS regression specifications include study fixed effects. All studies have equal weights. Woman is a dummy variable equal to 1 if the respondent is a woman, 0 otherwise. Earnings is the inverse hyperbolic sine (IHS) transformation of the respondent's monthly earnings in US dollars. Note that only business profit rather than total earnings is reported for Nigeria. Education, age bins and marital status are added as controls. Education stands for the highest educational attainment (completed) where 0=No education, 1=completed grade 1, 2=completed grade 2, ... 12=completed highschool, 13=completed certificate or diploma and 14=completed university degree or above. Note that Nigeria and Facebook projects have only categorical variable for education and "completed primary is coded as 9" and "completed secondary" is coded as 12. Married is a dummy variable equal to 1 if the respondent is married/cohabitating, 0 otherwise. Age bin represents dummy variables equal to 1 if the respondent's age belongs to the age cohort which ranges from 15 to 65 with a 5 year gap, 0 otherwise. SE skills stands for Socio-emotional skills. PSDM stands for Problem Solving and Decision Making. ***, **, and * indicate significance at the 1, 5, and 10 percent critical level.

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