# **Table A.22. The list of selected variables in Elastic net with penalized unstandardized coefficients for imputation from NPS 2020/21 to TA 1 using 2020/21 Poverty Line**

||**Model**<br>**M1**|**Model**<br>**M2**|**Model**<br>**M3**|**Model**<br>**M4**|**Model**<br>**M5**|**Model**<br>**M6**|**Model**<br>**M7**|**Model**<br>**M8**|**Model**<br>**M9**|
|---|---|---|---|---|---|---|---|---|---|
|Household size|-0.049|-0.045|-0.014|-0.016|-0.043|-0.045|-0.046|-0.041|-0.014|
|Age of HH Head|-0.001|-0.003|-0.001|-0.001|-0.003|-0.003|-0.003|-0.004|-0.002|
|Head has primary education|0.064|-0.017||-0.026|-0.016|-0.023|-0.019|-0.030|-0.004|
|Head has secondary ordinary education|0.352|0.086|0.032||0.096|0.089|0.085|0.064|0.046|
|<br>Head has secondary advanced education and higher|0.808|0.261|0.120|0.042|0.231|0.249|0.261|0.233|0.115|
|<br>Share of hhmembr014|-0.673|-0.383|-0.058|-0.235|-0.369|-0.404|-0.406|-0.377|-0.178|
|__<br>Share of hhmembr1524|-0.315|-0.232||-0.162|-0.228|-0.244|-0.240|-0.224|-0.071|
|__<br>HH Head did any wage work during the last 7 days|0.064|0.042||0.016|0.034|0.044|0.042|0.030|0.002|
|HH Head was self-employed (non-farm) during the last 7 days|0.199|0.117|0.027|0.039|0.108|0.118|0.116|0.104|0.027|
|<br>urban==Urban|-0.332|-0.075|-0.068|0.043|-0.102|-0.072|-0.073|-0.045|-0.071|
|HH Head is Female||0.046|0.022||0.040|0.033|0.044|0.042|0.019|
|Household owns a motor vehicle||0.281|0.191|0.005|0.258|0.271|0.278|0.281|0.178|
|Household owns a bicycle||0.021||0.019|0.013|0.011|0.021|0.027|-0.009|
|Household owns a mobile phone||0.141|0.079|-0.038|0.129|0.124|0.141|0.127|0.065|
|Household owns a video/dvd||0.007||0.012||0.002|0.006|0.002|-0.020|
|Household owns a television||0.196|0.095||0.175|0.188|0.194|0.177|0.084|
|Household owns a computer||0.362|0.239|0.074|0.318|0.349|0.360|0.361|0.213|
|Household owns a refrigerator/freezer||0.138|0.094|0.010|0.126|0.132|0.137|0.130|0.087|
|<br>Household owns a radio||0.080|0.022|0.026|0.062|0.076|0.080|0.076|0.017|
|Household owns a mosquito net||0.028||||0.006|0.027|0.020|-0.021|
|<br>Log of per capita residential area||0.426|0.195||0.427|0.448|0.427|0.418|0.213|
|<br>Concrete/Metal sheets/Tiles||0.063|0.035|-0.048|0.056|0.059|0.061|0.062|0.025|
|Burnt bricks/Concrete||0.027|0.041|-0.041|0.034|0.031|0.027|0.024|0.046|
|Floor is improved||0.101|0.056|-0.023|0.123|0.099|0.100|0.077|0.059|
|Piped water/Truck||0.068|0.043|-0.027|0.089|0.078|0.068|0.033|0.058|
|Flush/VIP||0.124|0.058||0.118|0.116|0.123|0.106|0.051|
|Household owns an air c/fans|||0.059|-0.026|0.055||||0.068|
|Log of real per adult equivalent food consumption, annual, 2010/11 prices|||0.718||||||0.705|
|<br>Log of real per adult equivalent non-food consumption, annual, 2010/11 prices||||0.625||||||
|<br>Share of hhmembr60|||||0.072|||0.077|0.052|
|__<br>Log (real per adult equivalent furnishings & household expenses cons, annual, 2010/11<br>||||||||||
|prices|||||0.025||||0.010|
|<br>Log of real per adult equivalent health expenditure, annual, 2010/11 prices||||||0.018|||0.012|
|Log of real per adult equivalent education expenditure, annual, 2010/11 prices|||||||0.002||0.007|
|Log of real per adult equivalent electricity & kerosene & water cons, annual, 2010/11||||||||||
|prices||||||||0.028||
|<br>_cons|14.697|13.864|4.077|6.301|13.700|13.799|13.878|13.687|4.206|
|**_Goodness of fit statistics_**||||||||||
|<br>Rsquared in training sub-sample|0.38|0.53|0.85|0.80|0.55|0.55|0.53|0.54|0.43|
|_<br>Rsquared in testing sub-sample|0.40|0.54|0.86|0.77|0.56|0.55|0.54|0.55|0.44|
|_<br>Rsquared|0.40|0.54|0.85|0.79|0.56|0.55|0.54|0.55|0.44|
|_<br>MSE in training sub-sample|0.33|0.25|0.08|0.11|0.24|0.24|0.25|0.24|0.31|
|<br>MSE in testing sub-sample|0.33|0.25|0.08|0.12|0.24|0.24|0.25|0.25|0.31|
|MSE|0.33|0.25|0.08|0.11|0.24|0.24|0.25|0.24|0.30|
|N|4644|4644|4644|4644|4644|4644|4644|4644|4644|

Note: Elastic net linear model is used. The model is trained using Tanzania 2020/21 round. The training data is split into two subsets: 50% used for training (training sub-sample) and 50% used for validation (testing sub-sample).

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