Poverty and its determinants in Sri Ganganagar district of Rajasthan state, India

The study used primary data from 100 households following multistage random sampling process. Minimum consumption expenditure per person was used as standard of measurement to categorize households into poor and non-poor. To address principal determinants of household poverty in the study area, the study used, logit model. In the district the poverty headcount is 15%, the poverty gap index was 0.025 and the squared poverty gap index was 0.0048. Logit analysis results show, as family sizeincreases by one adult equivalent, citrus paribus, the probability that a household falls into poverty increases by 3 percent. As irrigated landholding increases by one hectare, the probability of the household falling into poverty decreases by 11.4 percent and as farm sizeincreases by one hectare, the probability that a household falls into poverty decrease by 4.1 percent. Similarly, as livestock ownership increases by one TLU, the probability that a household falls into poverty decrease by 5.4 percent. If income increases by one lakh, probability of household falling into poverty will decrease by 0.02 percent. As decision maker education measured by years of schooling increases by one unit, the probability that a household falls into poverty decrease by 3.5 percent and similarly, as decision maker wife educationincreases by one unit the probability that a household falls into poverty also decrease by 3 percent.