Table 6.
Model coefficients | Marginal Effects (ME) of covariates for FIES: 1, 2, 3 and 4 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Coeffici-ent | Standard error (Robust) | ME, FIES = 1 (dy/dx) |
Standard error ME, FIES = 1 | ME, FIES = 2 (dy/dx) |
Standard error ME, FIES = 2 | ME, FIES = 3 (dy/dx) |
Standard error ME, FIES = 3 | ME, FIES = 4 (dy/dx) |
Standard error ME, FIES = 4 | |||
HH income loss amid-COVID (%) | 0.017*** | 0.003 | -0.001*** | 0.000 | -0.001*** | 0.000 | -0.001*** | 0.000 | 0.003*** | 0.001 | ||
HH job affected by COVID-19 (yes = 1) | 0.446*** | 0.161 | -0.029*** | 0.010 | -0.024*** | 0.009 | -0.027*** | 0.010 | 0.080*** | 0.028 | ||
Received family/friends support (yes = 1) | -0.063 | 0.198 | 0.004 | 0.014 | 0.003 | 0.011 | 0.004 | 0.012 | -0.011 | 0.036 | ||
Received gov./NGO support (yes = 1) | 0.418 | 0.272 | -0.025* | 0.014 | -0.021 | 0.013 | -0.025 | 0.017 | 0.071* | 0.043 | ||
Land size owned (ha) | -0.019*** | 0.007 | 0.001*** | 0.000 | 0.001*** | 0.000 | 0.001*** | 0.000 | -0.003*** | 0.001 | ||
Livestock size owned (TLU) | -0.033*** | 0.009 | 0.002*** | 0.001 | 0.002*** | 0.001 | 0.002*** | 0.001 | -0.006*** | 0.002 | ||
HH in rural area (yes = 1) | -0.043 | 0.180 | 0.003 | 0.012 | 0.002 | 0.010 | 0.003 | 0.011 | -0.008 | 0.032 | ||
Location Northern states (yes = 1) | -0.705*** | 0.181 | 0.053*** | 0.016 | 0.041*** | 0.011 | 0.042*** | 0.011 | 0.136*** | 0.036 | ||
HH head male (yes = 1) | -0.176 | 0.168 | 0.012 | 0.011 | 0.009 | 0.009 | 0.011 | 0.010 | -0.032 | 0.030 | ||
HH head age (years) | -0.013* | 0.007 | 0.001* | 0.000 | 0.001* | 0.000 | 0.001* | 0.000 | -0.002* | 0.001 | ||
Household size (#) | -0.007 | 0.019 | 0.000 | 0.001 | 0.000 | 0.001 | 0.000 | 0.001 | -0.001 | 0.003 | ||
HH head married (yes = 1) | -0.283 | 0.211 | 0.018 | 0.012 | 0.015 | 0.011 | 0.017 | 0.013 | -0.050 | 0.036 | ||
Education above secondary (yes = 1) | -0.383** | 0.167 | 0.025** | 0.011 | 0.020** | 0.009 | 0.023** | 0.010 | -0.069** | 0.029 | ||
HH livelihood on-farm (yes = 1) | 0.007 | 0.165 | -0.000 | 0.011 | -0.000 | 0.009 | -0.000 | 0.010 | 0.001 | 0.030 | ||
HH member migrated_COVID-19 (yes = 1) | 0.450 | 0.323 | -0.026 | 0.016 | -0.022 | 0.015 | -0.027 | 0.019 | 0.076 | 0.050 | ||
Access to COVID-related info (yes = 1) | 0.412 | 0.283 | -0.032 | 0.024 | -0.024 | 0.017 | -0.024 | 0.016 | 0.079 | 0.057 | ||
/Cut1 | -2.828 | 0.507 | ||||||||||
/Cut2 | -1.963 | 0.507 | ||||||||||
/Cut3 | -1.128 | 0.499 | ||||||||||
Mean dependent var | 3.485 | SD dependent var | 0.936 | |||||||||
Pseudo r-squared | 0.067 | Number of obs | 1031 | |||||||||
Wald Chi2(16) | 84.746 | Prob > chi2 | 0.000 | |||||||||
Akaike crit. (AIC) | 1471.253 | Bayesian crit. (BIC) | 1561.590 |
ME Marginal effects, MEs for factor variables is the discrete change from the base level, HH Household, ha hectare, TLU Tropical Livestock Unit
† Marginal effects (dy/dx) are average marginal effects (AME), i.e., evaluated at the sample values and then averaged
* p<0.01, ** p<0.05, *** p<0.1