Clustered into control: Heterogeneous causal impacts of water infrastructure failure

B Cunningham, J LaRiviere, CJ Wichman - Economic Inquiry, 2021 - Wiley Online Library
We estimate economic impacts from decaying water infrastructure in the United States.
Using water main breaks in Washington, DC, and a yearlong panel of hourly traffic speeds …

[PDF][PDF] Similarity measures for nominal data in hierarchical clustering

Z Šulc - 2016 - researchgate.net
This dissertation thesis deals with similarity measures for nominal data in hierarchical
clustering, which can cope with variables with more than two categories, and which aspire to …

Clustered into control: Causal impacts of water infrastructure failure

JS LaRiviere, C Wichman… - Resources for the Future …, 2016 - papers.ssrn.com
The causal economic impacts of water infrastructure disruptions in OECD countries are
largely unknown. Using details of water main break events in Washington, DC, and hourly …

Evaluation of selected approaches to clustering categorical variables

Z Šulc - Statistics in Transition new series, 2014 - ceeol.com
This paper focuses on recently proposed similarity measures and their performance in
categorical variable clustering. It compares clustering results using three recently developed …

An evaluation of the Integration capability of the digital transformation opportunity recognition (DTOR) framework/submitted by Matthias Klampfer, BSc

M Klampfer - 2022 - epub.jku.at
The integration of new digital technologies is one of the major challenges facing companies.
Prominent examples show the importance of seizing opportunities to secure a position in the …

[引用][C] Using k-means clustering to estimate heterogeneous treatment effects: An application to water infrastructure failure

J LaRiviere, CJ Wichman, B Cunningham - 2017