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Accounting for Sample Overlap in Economics Meta-Analyses: The Generalized-Weights Method in Practice

H 0104 (Elinor Ostrom Hall)

Meta-analyses in economics frequently exhibit considerable overlap among primary samples. If not addressed, sample overlap leads to efficiency losses and inflated rates of false positives at the meta-analytical level. Bom and Rachinger (2020) propose a generalized-weights approach to handle sample overlap. This approach effectively approximates the correlation structure between primary estimates using information on sample […]

The Price Elasticity of Heating and Cooling Energy Demand: A Meta-Analysis

H 0104 (Elinor Ostrom Hall)

We follow a registered pre-analysis plan (\href{https://osf.io/zdche}{https://osf.io/zdche}) to create a large meta-dataset from the international literature on price elasticities of energy demand for heating and cooling of households and businesses. The dataset comprises 442 primary studies with more than 4971 price elasticity estimates, their standard errors as well as relevant study and observation characteristics. We […]

State vs market: Do sources of energy price changes matter for demand elasticities?

H 0104 (Elinor Ostrom Hall)

CO2 pricing via taxes or emission trading schemes (ETS) should create incentives for companies and individuals to reduce their carbon footprint. We exploit a large meta-dataset of price elasticities for heating and cooling energy sources. We compare elasticities from both state-led and market-led changes, controlling for study-design characteristics. Our working hypothesis is that taxes and […]