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Temporal and Spatial Aggregation Effects on Environmental Economic Studies


Abstract We examine the bias resulting from temporal and spatial aggregation of weather variables in environmental economics. In order to include temporally and/or spatially continuous environmental variables (such as temperature and precipitation), many studies discritize them. The finer the scale of discrization chosen, the more difficult it can be to obtain a complete and reliable data set. Studies performed at very fine scales often find tighter and more dramatic relationships between variables such as temperature and income per capita. We examine this question by repeating the same empirical study at various temporal and spatial scales and comparing the resulting parameter estimates.
Created Date 2016-05
Contributor Ober-Reynolds, Daniel Steven (Author) / Hanemann, Michael W. (Thesis Director) / Kuminoff, Nicolai V. (Committee Member) / School of Historical, Philosophical and Religious Studies / Economics Program in CLAS / School of Mathematical and Statistical Sciences / Barrett, The Honors College
Subject Economics / Econometrics / Environment
Series Academic Year 2015-2016
Type Text
Extent 21 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Collaborating Institutions Barrett, the Honors College
Additional Formats MODS / OAI Dublin Core / RIS


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