2012
DOI: 10.2139/ssrn.2015474
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Estimating Neighborhood Choice Models: Lessons from a Housing Assistance Experiment

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Cited by 28 publications
(41 citation statements)
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“…Therefore, such policy changes cannot be evaluated without taking into account general equilibrium effects. Tackling this issues using structural sorting models in the same way as Galiani et al (2015) and Geyer (2017) in the case of the U.S. housing voucher program seems like a fruitful avenue for future research.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, such policy changes cannot be evaluated without taking into account general equilibrium effects. Tackling this issues using structural sorting models in the same way as Galiani et al (2015) and Geyer (2017) in the case of the U.S. housing voucher program seems like a fruitful avenue for future research.…”
Section: Discussionmentioning
confidence: 99%
“…Carlson et al (2012) review the earlier evidence on the effects of tenant-based programs on households' relocation decisions. Galiani et al (2015) and Geyer (2017) use structural sorting models to simulate how the parameters of housing voucher programs affect households' neighborhood and housing consumption choices. Using U.S. data, both papers find that the details of the voucher program affect voucher recipients' choice regarding the trade-off between housing consumption and neighborhood quality.…”
Section: Related Literaturementioning
confidence: 99%
“…Recent work has also begun to tackle the difficult, but extremely important, task of assessing external validity. A recent study, by Sebastian Galiani, Alvin Murphy, and Juan Pantano (2012), uses a sorting model to make out-of-sample predictions about participation in a housing assistance program targeting low-income households. Remarkably, their predictions align very closely with actual participation observed in a randomized controlled trial of the "Moving to Opportunity" experiments conducted by the U.S. Department of Housing and Urban Development.…”
Section: Introductionmentioning
confidence: 99%
“…One possibility is to use the models to predict observable outcomes that are not used as fitting criteria during the estimation. Galiani, Murphy, and Pantano (2012) provide the first application of this approach.…”
mentioning
confidence: 99%
“…While there are well-developed theoretical and empirical literatures related to Wilson (1987), researchers have typically been forced to abstract entirely from important features of Wilson's hypothesis in order to take their models to data. 5 In the literature studying the Moving to Opportunity (MTO) housing mobility experiment, for example, analyses are either entirely focused on sorting (Galiani et al (2012)), or else must adopt stylized, static models of sorting in order to identify neighborhood effects on outcomes (Kling et al (2007), Aliprantis and Richter (2014), Aliprantis (2014a), Pinto (2014)). 6 Badel (2010) is the most similar paper in the literature to ours, which to our knowledge is the first to use a Bewley-Aiyagari model to study neighborhood externalities.…”
Section: Introductionmentioning
confidence: 99%