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Papers Containing Keywords(s): 'housing'

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American Community Survey - 35

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neighborhood - 49

residential - 48

residence - 41

resident - 38

metropolitan - 30

rent - 27

population - 24

home - 23

renter - 23

poverty - 23

socioeconomic - 19

segregation - 19

homeowner - 18

house - 17

urban - 16

disadvantaged - 16

recession - 14

ethnicity - 14

migration - 14

racial - 13

reside - 13

migrant - 13

city - 12

suburb - 12

census data - 12

minority - 11

income neighborhoods - 11

moving - 11

rural - 10

apartment - 10

employ - 10

segregated - 10

neighbor - 10

estimating - 10

migrating - 10

family - 9

ethnic - 9

housing survey - 9

amenity - 9

state - 8

disparity - 8

relocation - 8

race - 8

residential segregation - 8

community - 8

relocating - 8

survey - 8

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intergenerational - 7

suburban - 7

welfare - 7

unemployed - 7

discrimination - 7

econometric - 7

labor - 7

black - 7

immigrant - 7

employed - 7

workforce - 7

economist - 7

expenditure - 6

hispanic - 6

white - 6

economically - 6

mortgage - 5

area - 5

suburbanization - 5

prevalence - 5

endogeneity - 5

heterogeneity - 5

regress - 5

respondent - 5

unobserved - 5

census use - 5

data - 5

tax - 5

crime - 5

locality - 5

job - 5

pollution - 5

environmental - 5

urbanization - 4

urbanized - 4

sociology - 4

subsidized - 4

estimation - 4

spillover - 4

subsidy - 4

geographically - 4

data census - 4

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taxation - 4

citizen - 4

market - 4

department - 4

worker - 4

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census research - 4

emission - 4

epa - 4

demand - 4

residing - 4

wealth - 3

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parental - 3

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loan - 3

household income - 3

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affluent - 3

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agency - 3

utility - 3

employee - 3

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regression - 3

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regional - 3

poor - 3

matching - 3

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shift - 3

economic census - 3

commute - 3

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Viewing papers 81 through 84 of 84


  • Working Paper

    Interactions, Neighborhood Selection, and Housing Demand

    August 2002

    Working Paper Number:

    CES-02-19

    This paper contributes to the growing literature that identifies and measures the impact of social context on individual economic behavior. We develop a model of housing demand with neighborhood e'ects and neighborhood choice. Modelling neighborhood choice is of fundamental importance in estimating and understanding endogenous and exogenous neighborhood effects. That is, to obtain unbiased estimates of neighborhood effects, it is necessary to control for non-random sorting into neighborhoods. Estimation of the model exploits a unique data set of household data that has been augmented with contextual information at two di'erent levels ('scales') of aggregation. One is at the neighborhood cluster level, of about ten neighbors, with the data coming from a special sample of the American Housing Survey. A second level is the census tract to which these dwelling units belong. Tract-level data are available in the Summary Tape Files of the decennial Census data. We merge these two data sets by gaining access to confidential data of the U.S. Bureau of the Census. We overcome some limitations of these data by implementing some significant methodological advances in estimating discrete choice models. Our results for the neighborhood choice model indicate that individuals prefer to live near others like themselves. This can perpetuate income inequality since those with the best opportunities at economic success will cluster together. The results for the housing demand equation are similar to those in our earlier work [Ioannides and Zabel (2000] where we find evidence of significant endogenous and contextual neighborhood effects.
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  • Working Paper

    Leaving Home: Modeling the Effect of Civic and Economic Structure on Individual Migration Patterns

    June 2002

    Working Paper Number:

    CES-02-16

    This research analyzes the effect of community structure upon individuals' probabilities of moving between 1985 and 1990. Using the full Census sample long form microdata for 1990, we re-allocate adult persons in 1990 to their 1985 county of residence. Then, using origin county macro-structural variables (derived from the Economic Census microdata) and individual characteristics (from Decennial Census microdata), we develop a two level hierarchical linear model. In level 1, we construct a logistic equation modeling individual probabilities of moving. In level 2, we model the contextual effects of origin community structure on these models. These contextual effects fall into two categories: 1) economic conditions that comprise the usual aggregate 'push' factors and 2) civic community factors that act to retain people in their community. Results specify the relationship between community context and individual migration patterns, and demonstrate effects of local economic structure and local civic structure on these individual probabilities. Most notably, we find that civic attributes of communities are associated with a propensity to stay in place, net of community economic factors and individual characteristics.
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  • Working Paper

    LOCALIZED EFFECTS OF CALIFORNIA'S MILITARY BASE REALIGNMENTS: EVIDENCE FROM MULTI-SECTOR LONGITUDINAL MICRODATA

    December 1998

    Authors: C.J. Krizan

    Working Paper Number:

    CES-98-19

    Cuts in U.S. Department of Defense budgets have led to changes in the personnel levels at military bases throughout the United States. Because these bases are often significant sources of civilian and military employment and also provide customers for local businesses, closing them distresses local citizens, business leaders and politicians. In, Defense Secretary William Cohen launched a new drive to close dozens more military bases. Given the timeliness and magnitude of these actions, and in light of the predictions of hardship surrounding them, it is important to realistically assess the impact of substantial personnel changes at military bases on employment at neighboring businesses. This study utilizes a new and uniquely well-suited confidential dataset to analyze this issue at the level closures' impact are thought to occur: individual establishments and their employees. Using an establishment-level panel dataset that covers all private establishments in California with positive employment from 1989 to 1996, I examine how the employment dynamics of establishments across the full spectrum of industries are affected by personnel changes at nearby military bases and find that despite establishments' growth rates declining, more establishments going out of business and fewer new ones starting, when bases close workers' employment prospects actually improve.
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  • Working Paper

    The Census of Construction Industries Database

    August 1998

    Authors: Mark A Calabria

    Working Paper Number:

    CES-98-10

    The Census of Construction Industries (CCI) is conducted every five years as part of the quinquennial Economic Census. The Census of Construction Industries covers all establishments with payroll that are engaged primarily in contract construction or construction on their own account for sale as defined in the Standard Industrial Classification Manual. As previously administered, the CCI is a partial census including all multi-establishments and all establishments with payroll above $480,000, one out of every five establishments with payroll between $480,000 and $120,000 and one out of eight remaining establishments. The resulting database contains for each year approximately 200,000 establishments in the building construction, heavy construction and special trade construction industrial classifications. This paper compares the content, survey procedures, and sample response of the 1982, 1987 and 1992 Censuses of Construction.
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