Sensitivity of Water Price Elasticity Estimates to Different Data Aggregation Levels
Yarela Flores Arévalo,
Roberto D. Ponce Oliva (),
Francisco J. Fernández and
Felipe Vásquez-Lavin
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Yarela Flores Arévalo: Universidad de la Serena Chile
Roberto D. Ponce Oliva: Universidad del Desarrollo
Francisco J. Fernández: Center of Applied Ecology and Sustainability (CAPES)
Felipe Vásquez-Lavin: Universidad del Desarrollo
Authors registered in the RePEc Author Service: Felipe Antonio Vásquez Lavín
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 6, No 20, 2039-2052
Abstract:
Abstract The empirical literature on residential water demand employs various data aggregation methods, which depend on whether the aggregation is over consumption, sociodemographic variables, or both. In this study, we distinguish three dataset types—aggregated data, disaggregated data, and semi-aggregated data—to compare the consequences of using a large sample of semi-aggregated data vis-à-vis a small sample of fully disaggregated data on the water price elasticity estimates. We also analyze whether different aggregation levels in the sociodemographic variables affect the water price elasticity estimates when the number of observations is fixed. We employ a discrete-continuous choice model that considers that consumers face an increasing block price structure. Our results demonstrate that the water price elasticities depend upon the level of aggregation of the data used and the sample size. We also find that the water price elasticities are statistically different when comparing a large semi-aggregated sample with a small disaggregated sample.
Keywords: Data aggregation; Water price elasticity; Discrete‐continuous choice model; Increasing block price structure (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:35:y:2021:i:6:d:10.1007_s11269-021-02833-3
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DOI: 10.1007/s11269-021-02833-3
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