Table 1 Public and private SSN models. (A). Results of the public SSN logistic model. (B). Results of private SSN PSM logistic model.

From: The role of public versus private social safety nets in mitigating the impact of shocks in rural Pakistan

Covariates

Coefficient

(A)

House ownership (Yes = 1, Otherwise = 0)

0.415 (0.23)

Electricity connection (Yes = 1, Otherwise = 0)

0.135 (0.26)

Attempted to obtain loan (Yes = 1, Otherwise = 0)

0.377* (0.16)

Age of household head

0.133** (0.04)

Gender of household head (Male = 1, Female = 0)

0.061 (0.54)

(Age of household head)^2

−0.001** (0.0003)

Household size

0.080** (0.03)

Punjab (Yes = 1, Otherwise = 0)

−0.568* (0.27)

Sindh (Yes = 1, Otherwise = 0)

2.162** (0.30)

Khyber Pakhtunkhwa (as reference category of province)

Education of household head (years)

0.012 (0.02)

Pucca house (Yes = 1, Otherwise = 0)

−0.223 (0.16)

No. of large animals

−0.223* (0.09)

No. of small animals

0.308** (0.09)

Migration

−0.780** (0.26)

Constant

−5.738** (1.11)

(B)

(Age of Household head)^2

−0.00002 (0.0005)

Electricity connection (Yes = 1, No = 0)

−0.0704 (0.33)

Attempted to obtain loan (Yes = 1, Otherwise = 0)

0.9809** (0.26)

Household head education (years)

0.0651* (0.03)

Age of household head (years)

0.0068 (0.051)

Household size

0.0370 (0.047)

Punjab

−0.3257 (0.440)

Sindh

2.5276** (0.479)

Khyber Pakhtunkhwa (as reference category of province)

Pucca house (Yes = 1, Otherwise = 0)

−0.3018 (0.2923)

No. of large animals

−0.3418* (0.1711)

No. of small animals

0.2446 (0.1518)

Constant

−3.949013** (1.1270)

  1. *Significant at 0.05 level of significance.
  2. **Significant at 0.01 level of significance.