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Maximilian Auffhammer

Researcher at University of California, Berkeley

Publications -  100
Citations -  5866

Maximilian Auffhammer is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Climate change & Greenhouse gas. The author has an hindex of 33, co-authored 95 publications receiving 4801 citations. Previous affiliations of Maximilian Auffhammer include Energy Biosciences Institute & University of California.

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Detection and attribution of climate change impacts - is a universal discipline possible?

TL;DR: In this paper, the authors outline the major challenges involved in and provide workable definitions of detection and attribution in the context of impacts, reaching beyond the current focus of the literature on hydrology and ecological effects.

Agriculture and the Social Cost of Carbon

TL;DR: This paper showed that the observed and anticipated impacts from human-caused climate change are bigger than previously thought, and showed that it is getting warmer in the United States and that the upward trend is clear.
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Human Development Index: Are Developing Countries Misclassified? (former title: "Consequences of Data Error in Aggregate Indicators: Evidence from the Human Development Index)

TL;DR: In this paper, the consequences of data error in data series used to construct aggregate indicators are examined and three separate sources of data errors are identified for the Human Development Index (HDI) using the most popular indicator of country level economic development.

Localizing Environmental Regulation: The Case of Boutique Fuels

TL;DR: In this article , the authors evaluated the pollutant concentration, emissions, and price impacts of RFG, RVP, California RFG and other boutique fuel rules and found that RFG continues to deliver large improvements in air quality, while the benefits from RVP and boutique fuels are either small or statistically insignificant.
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Elasticities, heterogeneity, and optimal cost recovery: Evidence from 300M+ natural gas bills

TL;DR: Rubin et al. as discussed by the authors provided the first ever causally identified, microdata-based estimates of residential natural gas demand elasticities using a decade-long panel of more than 275 million bills in California.