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Bayesian Estimation of the Hierarchical SLX Model with an Application to Housing Markets

Hall, Joshua C.; Lacombe, Donald J.; Neto, Amir; Young, James. (2022). Bayesian Estimation of the Hierarchical SLX Model with an Application to Housing Markets. Journal Of Economics & Finance, 46(2), 360 – 373.

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Abstract

Hierarchical or multilevel models have long been used in hedonic models to delineate housing submarket boundaries in order to improve model accuracy. School districts are one important delineator of housing submarkets in an MSA. Spatial hedonic models have been extensively employed to deal with unobserved spatial heterogeneity and spatial spillovers. In this paper, we develop the spatially lagged X (or SLX) hierarchical model to integrate these two approaches to better understanding local housing markets. We apply the SLX hierarchical model to housing and school district test score data from Cincinnati Ohio. Our results highlight the importance of accounting for spatial spillovers and the fact that houses are embedded in school districts which vary in quality. [ABSTRACT FROM AUTHOR]; Copyright of Journal of Economics & Finance is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Keywords

Housing Market; Multilevel Models; Test Scoring; Cincinnati (ohio); Ohio; Bayesian Methods; Slx Model; Spatial Econometrics; Spatial Hierarchical Models

Associations Between Psychopathic Traits and Readiness for Change: An Exploratory Analysis

Salcido, Christine Galvan; Ray, James V.; Caudy, Michael; Viglione, Jill; Walter, Rebecca J. (2019). Associations Between Psychopathic Traits and Readiness for Change: An Exploratory Analysis. Personality And Individual Differences, 141, 86 – 91.

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Abstract

Readiness to change (RTC) indicates an individual's recognition of a problem as well as confidence in their ability to change (Gaume, Bertholet, & Daeppen, 2016), and is hypothesized to play an important role in therapeutic processes aimed at changing offending behaviors (Polaschek & Ross, 2010). However, prior research has generally failed to consider RTC among severe offender subgroups (Hodge & Renwick, 2002; Howells & Day, 2007) such as those with psychopathic personality features whom have often been characterized as resistant to treatment (Harris & Rice, 2006; Salekin, 2002). In the current sample of formerly incarcerated persons (N = 70), we explore the relationship between psychopathic personality traits, as measured by the Triarchic Psychopathy Measure (TriPM; Patrick, 2010), and the unique components of RTC, as measured by an originally constructed assessment called the Change Readiness Scale (CRS). Each item of the CRS has been empirically supported and combined to form five subscales of change readiness (recognition, action, social bonds, human agency, and self efficacy). Results show unique associations between the subscales of the TriPM and aspects of the RTC construct, yielding it necessary to further explore these relationships to better understand how these factors may contribute to treatment and justice system outcomes.

Keywords

High-risk; Therapeutic Alliance; Personality; Validation; Construct; Behavior; Psychopathy; Readiness To Change; Triarchic Psychopathy Measure; Reentry; Offender

How Do Single-Family Homeowners Value Residential and Commercial Density? It Depends

Acolin, Arthur; Colburn, Gregg; Walter, Rebecca J. (2022). How Do Single-Family Homeowners Value Residential and Commercial Density? It Depends. Land Use Policy, 113.

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Abstract

This paper develops estimates of the relationship between local density and single-family home values using 2017 transactions for five U.S. metropolitan regions: Chicago, Los Angeles, Minneapolis, Philadelphia, Seattle. Proposals to build new commercial and residential development projects that would increase local density commonly face opposition from local homeowners. Academic literature links the response from homeowners to concerns that higher density is associated with lower property values but there is limited empirical evidence establishing this relationship at the local level. We find a positive and significant relationship between density and house value in the core area of the five metropolitan regions we analyze. Within 7.5 miles of the center of these metropolitan regions, a 10% increase in surrounding built area density is associated with a 1.1–1.9% increase in house prices per square foot. For outlying areas, the estimates are smaller and even negative in several cases. We instrument density based on topographic and soil characteristics and find similar results. These findings point to the need for a more nuanced discussion of the relationship between local density and housing values.

Keywords

Population Density; Soil Density; Single Family Housing; Home Ownership; Housing Development; Housing Discrimination; Home Prices; Los Angeles (calif.); Density; Single-family House Value; Urban Form; Residential Development; Real Estate; Property Values; Residential Density; Development Programs; Housing; Estimates; Metropolitan Areas; Development Projects; Empirical Analysis; Families & Family Life; Soil Characteristics

College of Built Environments’ unique Inspire Fund aims to foster research momentum in underfunded pursuits college-wide. And it’s working.

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