scholarly journals Can More Housing Supply Solve the Affordability Crisis? Evidence from a Neighborhood Choice Model

2018 ◽  
Vol 2018 (035) ◽  
Author(s):  
Elliot Anenberg ◽  
◽  
Edward Kung ◽  
Keyword(s):  
Choice Model ◽  
Housing Supply ◽  
Neighborhood Choice

Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality

2020 ◽  
Vol 102 (4) ◽  
pp. 633-647 ◽  
Author(s):  
Dionissi Aliprantis ◽  
Francisca G.-C. Richter
Keyword(s):  
Neighborhood Effects ◽  
Choice Model ◽  
Neighborhood Quality ◽  
Market Outcomes ◽  
Moving To Opportunity ◽  
Unobserved Component ◽  
Specific Effects ◽  
New Strategy ◽  
Local Average Treatment Effects ◽  
Neighborhood Choice

This paper estimates neighborhood effects on adult labor market outcomes using the Moving to Opportunity (MTO) housing mobility experiment. We propose and implement a new strategy for identifying transition-specific effects that exploits identification of the unobserved component of a neighborhood choice model. Estimated local average treatment effects (LATEs) are large, result from moves between the first and second deciles of the national distribution of neighborhood quality, and pertain to a subpopulation of nine percent of program participants.

An Empirical Test of a Joint Model of Residential Mobility and Housing Choice

1985 ◽  
Vol 17 (7) ◽  
pp. 915-930 ◽  
Author(s):  
WAV Clark ◽  
J L Onaka
Keyword(s):  
Residential Mobility ◽  
Choice Model ◽  
Empirical Test ◽  
Rand Corporation ◽  
Housing Allowance ◽  
Final Model ◽  
Mnl Model ◽  
Neighborhood Choice ◽  
Choice Probabilities ◽  
Modelling Approach

A nested multinomial logit (MNL) model is used to estimate the joint choice of moving and housing selection. The coefficients are derived from a sequential application of the standard MNL model using maximum likelihood. The choice of the dwelling type is followed by choice of neighborhood and finally by the choice of moving or staying. The models are estimated for three household categories and nine neighborhoods with data from the Rand Corporation Housing Allowance Supply Experiment. The dwelling-type choice model fits reasonably well and shows the expected significant impact of space on dwelling choice. The neighborhood choice model has smaller coefficients and is less successful. The alternative specific constants play a much larger role in determining the choice probabilities for neighborhoods. The final model of mobility choice exhibits a good fit for all the household categories. The results provide overall support for the sequential modelling approach outlined in this paper.

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