**Table 4.  Estimates of the Impact of Business-as-Usual Survey Approach on Labor Outcomes of Men and Women Aged 18-64**

|||**Within c**<br>**agricultu**|**rop**<br>**re:**|**Livestock**|**Non-f**<br>**enterprise**|**arm**<br>**(NFE):**|**Wage**|**_Ganyu_**|
|---|---|---|---|---|---|---|---|---|
||**Any crop**|<br>**At least 1**|<br>**All crops**||||||
||<br>**work**<br>**(all HH)**<br>**(1)**|**crop mainly**<br>**for sale**<br>**(2a)**|<br>**for HH**<br>**own use**<br>**(2b)**|**(3)**|**Ownership/**<br>**management**<br>**(4a)**|**Helping/**<br>**supporting**<br>**(4b)**|**(5)**|**(6)**|
|**Women**|||||||||
|Participation (7d)|-0.010|0.018|-0.023|-0.032 ***|-0.039 ***|-0.010 ***|-0.004|-0.007|
||[-0.51]|[0.75]|[-0.85]|[-3.05]|[-4.15]|[-2.25]|[-0.63]|[-0.69]|
|R-squared|0.27|0.16|0.19|0.10|0.07|0.03|0.17|0.12|
|Participation (12m)|-0.019|-|-|-0.034 **|-0.058 ***|-0.021 ***|-0.004|0.006|
||[-1.52]|||[-2.42]|[-5.70]|[-3.17]|[-0.63]|[0.48]|
|R-squared|0.38|-|-|0.16|0.10|0.05|0.20|0.23|
|_Observations_|_11,681_|_3,881_|_3,881_|_11,681_|_11,681_|_11,681_|_11,681_|_11,681_|
|Weekly hours (cond.)|0.069|-|-|-0.121 **|0.071|-0.109|0.094|0.147 **|
||[1.40]|||[-2.28]|[1.26]|[-0.84]|[1.12]|[2.57]|
|R-squared|<br>0.29|-|-|<br>0.32|<br>0.31|<br>0.40|<br>0.44|<br>0.21|
|_Observations_|_3,934_|-|-|_1,962_|_1,035_|_389_|_675_|_1,905_|
|Annual hours (cond.)|-|-|-|-|-|-|0.265**|0.162 ***|
||||||||[2.10]|[2.87]|
|R-squared|-|-|-|-|-|-|0.33|0.19|
|Annual earnings (cond.)|-|-|-|-|-|-|0.148|0.104|
||||||||[0.91]|[1.55]|
|R-squared|-|-|-|-|-|-|0.53|0.19|
|<br>_Observations_|-|-|-|-|-|-|_795_|_4,287_|
|**Men**|||||||||
|Participation (7d)|-0.019|-0.016|0.074 **|-0.026 **|-0.029 ***|-0.012 **|-0.021 *|0.024 *|
||[-1.06]|[-0.48]|[2.39]|[-2.01]|[-3.07]|[-2.06]|[-1.95]|[1.85]|
|R-squared|<br>0.23|<br>0.17|<br>0.21|<br>0.11|<br>0.07|<br>0.03|<br>0.23|<br>0.11|
|Participation (12m)|-0.005|-|-|-0.055 ***|-0.057 ***|-0.044 ***|-0.034 ***|<br>-0.014|
||[-0.37]|||[-3.63]|[-4.78]|[-5.00]|[-2.88]|[-0.92]|
|R-squared|0.39|-|-|0.17|0.09|0.05|0.24|0.22|
|_Observations_|_10,129_|_3,054_|_3,054_|_10,129_|_10,129_|_10,129_|_10,129_|_10,129_|
|Weekly hours (cond.)|-0.128 **|-|-|-0.191 ***|-0.054|-0.011|-0.069 *|-0.051|
||[-2.58]|||[-2.89]|[-0.93]|[-0.07]|[-1.75]|[-0.95]|
|_R-squared_|0.28|-|-|0.31|0.31|0.50|0.29|0.20|
|_Observations_|_3,092_|-|-|_1,783_|_1,180_|_329_|_1,616_|_2,344_|
|Annual hours (cond.)|-|-|-|-|-|-|0.006|0.197***|
||||||||[0.11]|[3.74]|
|R-squared|-|-|-|-|-|<br>-|0.26|0.16|
|Annual earnings (cond.)|-|-|-|-|-|-|0.07|0.163***|
||||||||[0.89]|[2.72]|
|R-squared|-|-|-|-|-|<br>-|0.45|0.20|
|_Observations_|-|-|-|-|-|-|_1,885_|_4,684_|
|**Notes:**|||||||||

The results are from linear probability models for binary outcomes, and from linear regressions for hours and earnings. Coefficients represent the impact of the businessas-usual survey approach, originating from regressions that also include the aforementioned control variables, and district, month and enumerator fixed effects. The regressions are weighted by the response weight, and t-statistics accounting for clustering at the enumeration-area level are presented in brackets. Significant differences are indicated with * (p<0.1), ** (p<0.05) and *** (p<0.01).

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