Estimating the Economic Impacts of Climate Change Using Weather Observations

Charles Kolstad and Frances C. Moore

No 25537, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper reviews methods that have been used to statistically measure the effect of climate on economic value, using historic data on weather, climate, economic activity and other variables. This has been an active area of research for several decades, with many recent developments and discussion of the best way of measuring climate damages. The paper begins with a conceptual framework covering issues relevant to estimating the costs of climate change impacts. It then considers several approaches to econometrically estimate impacts that have been proposed in the literature: cross-sections, linear and non-linear panel methods, long-differences, and partitioning variation. For each method we describe the kind of impacts (short-run vs long-run) estimated, the type of weather or climate variation used, and the pros and cons of the approach.

JEL-codes: H41 Q51 Q54 (search for similar items in EconPapers)
Date: 2019-02
New Economics Papers: this item is included in nep-agr, nep-ecm, nep-env and nep-res
Note: EEE
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Published as Charles D Kolstad & Frances C Moore, 2020. "Estimating the Economic Impacts of Climate Change Using Weather Observations," Review of Environmental Economics and Policy, vol 14(1), pages 1-24.

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