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Measuring Neighborhood Quality with AHS and CSS Data: A Bayesian Approach

by U. S. Dept of Housing and Urban Developm , Brent D. Mast
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Current price ₹1,337.00
Original price ₹1,446.00
Original price ₹1,446.00
Original price ₹1,446.00
(-8%)
₹1,337.00
Current price ₹1,337.00

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Book cover type: Paperback
  • ISBN13: 9781288914869
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Bibliogov
  • Publisher Imprint: Bibliogov
  • Publication Date:
  • Pages: 24
  • Original Price: USD 14.75
  • Language: English
  • Edition: N/A
  • Item Weight: 64 grams
  • BISAC Subject(s): General

While neighborhood quality is important for public policy, it is also difficult to quantify. This study measures neighborhood quality using data from two sources: the 2002 American Housing Survey (AHS), and HUD's Customer Satisfaction Survey (CSS) of Section 8 Housing Choice Voucher Program (HCVP) households. Survey responses are analyzed regarding neighborhood quality, home quality, and crime perceptions. Tract level Bayesian estimates are computed using AHS metro level data and CSS census tract data.

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