2019
DOI: 10.3386/w25427
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Substance Use Disorder Treatment Centers and Property Values

Abstract: for comments and suggestions. We also thank Cathie Alderks, Jessica Blose, and Felix Rodriguez for excellent data assistance. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Cited by 6 publications
(2 citation statements)
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“…For example, the zip-code is too small as most zip-codes do not have any officebased mental healthcare providers: only 20% have such a provider (authors' analysis of the CBP zip-code level data). More granular data is useful for other questions, for example, estimating the impact of healthcare providers on property values (Horn, Joshi, & Maclean, 2019). Alternatively, the state is arguably too large a market, for example, a resident in Amarillo Texas is unlikely to travel to Houston Texas for office-based mental healthcare.…”
Section: Empirical Modelmentioning
confidence: 99%
“…For example, the zip-code is too small as most zip-codes do not have any officebased mental healthcare providers: only 20% have such a provider (authors' analysis of the CBP zip-code level data). More granular data is useful for other questions, for example, estimating the impact of healthcare providers on property values (Horn, Joshi, & Maclean, 2019). Alternatively, the state is arguably too large a market, for example, a resident in Amarillo Texas is unlikely to travel to Houston Texas for office-based mental healthcare.…”
Section: Empirical Modelmentioning
confidence: 99%
“…Still, she proposed, it makes sense, rather than creating a repeat sample, to try and estimate the effects of various policies for each quarter in one model, in order to see the development of the situation over time, as she had done in the study she presented. This recognition of several policies in one model is also known as a spatial-difference-in-difference method (Horn et al, 2019). It was applied in the paper (Merika et al, 2020) to study the effects of the transition to internal models (Basel II internal ratings-based approach).…”
Section: Methodsmentioning
confidence: 99%