000			01096pab a2200169 454500
008			180718b2004 xxu||||| |||| 00| 0 eng d
100			_aEarly, Dirk W.
245			_aThe determinants of homelessness and the targeting of housing assistance
260			_c2004
300			_ap.195-214.
362			_aJan
520			_aThis study combines data from the Survey of Income and Program Participation with the National Survey of Homeless Assistance Providers and Clients to estimate a conditional probability model of homelessness. The results suggest which factors are important predictors of homelessness and argue that gender, age, and race of the household head, are important determinants of whether a household is homeless. Using the results of the model predicting homelessness to simulate the effects of the removal of housing subsidizes from the subsidized population indicates that subsidized housing could be targeted better toward those most at risk of being homeless. - Reproduced.
650			_aHousing
650			_aHomeless
773			_aJournal of Urban Economics
909			_a59551
999			_c59551 _d59551