The distributional effects of local labor demand and industrial mix: estimates using individual panel data

Article Abstract:

A study was conducted to examine the distributional effects of local labor demand and industrial mix. Results supported the commonly held assumption that increases in local labor demand have significant progressive effects on the income distribution and significantly alleviate poverty. The positive consequences of local labor demand are specifically beneficial to younger, less educated males. Moreover, the benefits of labor demand are the same for blacks and whites, and men and women. Findings also revealed that changes in the local industrial mix toward manufacturing or other high-wage industries do not lead to progressive effects and do not lessen poverty. The implications of these outcomes and recommendations for further research were discussed.

Supply and demand, Poverty, Labor market, Income distribution, Industrial concentration

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Neighborhood revitalization's effects on tenants and the benefit-cost analysis of government neighborhood programs

Article Abstract:

The potential effects of neighborhood improvements on low-income tenants are examined, using a theoretical model in which tenants have strong psychological ties to their neighborhoods. These tenants are shown to suffer considerable losses as a result of rent increases resulting from neighborhood improvement. This occurs regardless of whether the tenants are forced to move as a result of higher rental payments or not. Property value measures of the benefits of government neighborhood programs are biased by the tenant effects. Data from the Experimental Housing Allowance Program are used to test the model, resulting in marginal but significant tenant effects being discovered.

Social aspects, Models, Economic aspects, Housing research, Urban economics, Rental housing, Urban policy, Housing rehabilitation

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Maximum score estimates of the determinants of residential mobility: implications for the value of residential attachment and neighborhood amenities

Article Abstract:

The decision-making process employed by low-income renters regarding residential mobility was examined using a semiparametric empirical technique called 'maximum core estimation.' The maximum core estimates derived showed the existence of residential attachment, meaning that most low-income residents tend to place a high value on staying on in their residence. This estimation technique was found to be more effective in analyzing discrete decision models than the traditional probit or logit estimation methods. It also represented an alternative approach to quantifying the willingness of residents to pay for neighborhood amenities.

Measurement, Attachment behavior, Attachment (Psychology), Residential mobility

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