A Spatially-Varying Parameter Model of AFDC Participation: Empirical Analysis Using the Expansion Method

John Paul Jones

doi:10.1111/j.0033-0124.1984.00455.x

A Spatially-Varying Parameter Model of AFDC Participation: Empirical Analysis Using the Expansion Method

John Paul Jones

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

Spatial variation in the importance of determinants of participation in the Aid to Families with Dependent Children program (AFDC) is investigated for the U.S. Casetti’s Expansion Method is applied to the two-dimensional space domain by making the model's parameters a function of state x-y centroids. The spatially-varying parameter model suggests that the black population's association with participation is lowest in the Southeast and Northwest and greatest in the Southwest and Northeast.

Original language	English (US)
Pages (from-to)	455-461
Number of pages	7
Journal	Professional Geographer
Volume	36
Issue number	4
DOIs	https://doi.org/10.1111/j.0033-0124.1984.00455.x
State	Published - Nov 1984
Externally published	Yes

Keywords

AFDC
Expansion Method
Parameter variation
Trend surface
Welfare

ASJC Scopus subject areas

Geography, Planning and Development
Earth-Surface Processes

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10.1111/j.0033-0124.1984.00455.x

Cite this

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abstract = "Spatial variation in the importance of determinants of participation in the Aid to Families with Dependent Children program (AFDC) is investigated for the U.S. Casetti{\textquoteright}s Expansion Method is applied to the two-dimensional space domain by making the model's parameters a function of state x-y centroids. The spatially-varying parameter model suggests that the black population's association with participation is lowest in the Southeast and Northwest and greatest in the Southwest and Northeast.",

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AB - Spatial variation in the importance of determinants of participation in the Aid to Families with Dependent Children program (AFDC) is investigated for the U.S. Casetti’s Expansion Method is applied to the two-dimensional space domain by making the model's parameters a function of state x-y centroids. The spatially-varying parameter model suggests that the black population's association with participation is lowest in the Southeast and Northwest and greatest in the Southwest and Northeast.

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KW - Parameter variation

KW - Trend surface

KW - Welfare

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A Spatially-Varying Parameter Model of AFDC Participation: Empirical Analysis Using the Expansion Method

Abstract

Keywords

ASJC Scopus subject areas

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