The Effects of the 1930s HOLC “Redlining” Maps

This study uses a boundary design and propensity score methods to study the effects of the 1930s-era Home Owners Loan Corporation (HOLC) “redlining” maps on the long-run trajectories of urban neighborhoods. The maps led to reduced home ownership rates, house values, and rents and increased racial segregation in later decades. A comparison on either side of a city-level population cutoff that determined whether maps were drawn finds broadly similar conclusions. These results suggest the HOLC maps had meaningful and lasting effects on the development of urban neighborhoods through reduced credit access and subsequent disinvestment. (JEL G21, J15, N32, N42, N92, R23, R31)

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Erratum to “Propensity score methods for road safety evaluation: Practical suggestions from a simulation study” [Accid. Anal. Prev. 158 (2021) 106200]

Accident Analysis & Prevention ◽

10.1016/j.aap.2021.106257 ◽

2021 ◽

Vol 159 ◽

pp. 106257

Author(s):

Yingheng Zhang ◽

Haojie Li ◽

N.N. Sze ◽

Gang Ren

Keyword(s):

Propensity Score ◽

Simulation Study ◽

Road Safety ◽

Safety Evaluation ◽

Propensity Score Methods

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Do the heterogeneous determinants of life satisfaction affect differently across borrowers of diverse credit sources? A propensity score approach

International Journal of Social Economics ◽

10.1108/ijse-03-2017-0081 ◽

2018 ◽

Vol 45 (8) ◽

pp. 1142-1158 ◽

Cited By ~ 2

Author(s):

Tiken Das ◽

Manesh Choubey

Keyword(s):

Life Satisfaction ◽

Propensity Score ◽

Probit Model ◽

Ordered Probit ◽

Primary Data ◽

Ordered Probit Model ◽

Future Research ◽

Content Type ◽

Credit Access ◽

Physical Assets

Purpose The purpose of this paper is to evaluate the non-monetary effect of credit access by providing an econometric framework which controls the problem of selection bias. Design/methodology/approach The study is conducted in Assam, India and uses a quasi-experiment design to gather primary data. The ordered probit model is used to evaluate the non-monetary impact of credit access. The paper uses a propensity score approach to check the robustness of the ordered probit model. Findings The study confirms the positive association of credit access to life satisfaction of borrowers. It is found that, in general, rural borrower’s life satisfaction is influenced by the ability and capacity to work, the value of physical assets of the borrowers as well as some other lenders’ and borrowers’ specific factors. But, the direction of causality of the factors influencing borrowers’ life satisfaction is remarkably different across credit sources. Research limitations/implications The study argues to provide productive investment opportunities to semiformal and informal borrowers while improving their life satisfaction score. Although the results are adjusted for selection and survivorship biases, it is impossible with the available data to assess which non-income factors explain the findings, and therefore this limitation is left to future research. Originality/value The study contributes to the literature of rural credit by assessing the probable differences among formal, semiformal and informal credit sources with respect to non-monetary impacts.

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