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Estimating Small-Area Income Deprivation: An Iterative Proportional Fitting Approach · Study

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ChapterEstimating Small-Area Income Deprivation: An Iterative Proportional Fitting Approach

Ben Anderson2012

OA

Chaptergreen2012

Estimating Small-Area Income Deprivation: An Iterative Proportional Fitting Approach

26 citations·0/0 files stored·Springer eBooks

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demographic modeling and climate adaptation Urban, Neighborhood, and Segregation Studies Income, Poverty, and Inequality

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References

2006Measuring Multiple Deprivation at the Small-Area Level 2000Breadline Europe: The Measurement of Poverty 2005SimBritain: a spatial microsimulation approach to population dynamics 2004Social capital, geography and health: a small-area analysis for England 1988Synthesis—A Synthetic Spatial Information System for Urban and Regional Analysis: Methods and Examples 2011Small Area Estimation Using a Reweighting Algorithm 2009Improving the Synthetic Data Generation Process in Spatial Microsimulation Models 1989The Generation of Individual and Household Incomes at the Small Area Level using Synthesis

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2015Evaluating the Performance of Iterative Proportional Fitting for Spatial Microsimulation: New Tests for an Established Techniquearticle · 8 shared references 2013A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levelsarticle · 7 shared references 2013‘Truncate, replicate, sample’: A method for creating integer weights for spatial microsimulationarticle · 6 shared references 2013Spatial Microsimulation Modelling: a Review of Applications and Methodological Choicesarticle · 6 shared references 2010Internal and External Validation of Spatial Microsimulation Models: Small Area Estimates of Adult Obesityarticle · 6 shared references 2012A review of current methods to generate synthetic spatial microdata using reweighting and future directionsarticle · 5 shared references

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Year2012

Typechapter

Published2012-01-01

VenueSpringer eBooks

Languageen

Citations26

Files0 public / 0

Shelfdemographic modeling and climate adaptation

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doi10.1007/978-94-007-4623-7_4

openalex_workW1549498586

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