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By Gaurav Datt

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Additional resources for Income Gains for the Poor from Public Works Employment: Evidence for Two Indian Villages (Lsms Working Paper)

Sample text

For clarity in Figure 2 we have truncated the distributions at the top, though this does not alter any of the conclusions that follow. 21 This follows from the first-order dominance tests for poverty comparisons; see Atkinson (1987). 22 Note that uniformity across households does not require information on household size. 23 We are probably also under-estimating the impact of the EGS on poverty since we do not consider induced income effects such as through asset creation and the effect on agricultural wages.

For Shirapur, the estimates of time displaced by EGS employment in all activities except unemployment were identical in the two cases; for Kanzara too, the estimates of displaced time were quite similar in the two cases. Page 14 6 Discussion of the Results Table 5 gives the estimated parameters of the models determining employment on the public works projects. The salient features of these results are noted below. i) Male participation in the projects (in Shirapur, where the gender break-down is feasible) fluctuates far more over time than does that of females, as is evident from the year dummy variables in Table 5.

The xit vector of explanatory variables in the time allocation model includes the variables listed in Table 4. Apart from the year dummies, five sets of variables are included, viz. variables relating to (i) household size and composition, (ii) value and composition of household assets, (iii) caste and educational status, (iv) incidence of some form of work disability, and (v) total available time (days per year) for adult males and females. The last set of variables allow for the overall time constraint (section 2), and are constructed as the total reporting days (the number of days for which the respondent provided time allocation information) minus days of sickness or non-residence in the village.

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