Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Probabilistic migration models assume that informal sector employment serves a transitory role for migrants seeking formal sector jobs, but direct evidence on job search from informal sector employment is scarce. Based on survey data on 1600 migrants in Delhi, this paper is the first attempt to identify within a multivariate context, using logit analysis, the factors that are empirically important in explaining on-the-job search after entering urban employment. The results show that the likelihood of on-the-job search is higher if: migrants enter the informal wage sector and low-paying jobs, income at entry falls short of expectations, migrants are educated, do not own land at place of origin, and come from rural areas. Notably, non-wage workers are no more likely than formal sector entrants to engage in on-the-job search, and scheduled caste migrants have a greater propensity to search if in the formal sector but not in the informal sector. Copyright 1994 by Blackwell Publishing Ltd