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A Geographic Analysis of Making Connections Movers: Preliminary Results. Ned English, Colm O’Muircheartaigh, Cathy Haggerty, and Erika Garcia Presented at the Urban Institute 09/07/06. Introduction. Making Connections collects longitudinal data Households move often

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a geographic analysis of making connections movers preliminary results

A Geographic Analysis of Making Connections Movers:Preliminary Results

Ned English, Colm O’Muircheartaigh, Cathy Haggerty,

and Erika Garcia

Presented at the Urban Institute 09/07/06

introduction
Introduction
  • Making Connections collects longitudinal data
  • Households move often
    • 33% renters moved in previous year (2003 CPS)
  • What are the implications for Making Connections and subsequent policy decisions?
    • Who, how many move?
    • Where, how far do they go?
    • Do Making Connections residents move to similar areas?
  • What do movers tell us?
analytical approach
Analytical Approach
  • Compare original location to destination
    • Examine distance
    • Analyze neighborhood characteristics of each
  • Use quex data to examine categories of movers:
    • Race/Ethnicity
    • Housing tenure (renter or not)
    • Nativity (born in US or not)
  • Derive information beyond questionnaire
  • Implications for survey operations and future research interests
methodology
Methodology
  • Making Connections maintains addresses for both waves
    • From list in wave 1
    • Located in wave 2
  • Employ GIS software to:
    • Geocode locations based on address
    • Calculate distance between both points
    • Append census boundaries to each location
  • Merge census data and run comparisons using statistical software
next steps
Next Steps

Additional Directions:

  • Remaining sites
    • Neighborhood level
  • Block Group-level data
  • Data beyond Census 2000
    • Crime data
    • Schools characteristics and test scores
  • Integration with neighborhood sketches
    • Did people leave their drawn neighborhoods?
    • How do drawn neighborhoods compare to tract-level measures?
  • Analysis of other questionnaire data e.g. hardship, economic sections
  • Literature review of theory
  • Thinking ahead to wave 3