2019
DOI: 10.1257/aer.20171438
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(Mis)Allocation, Market Power, and Global Oil Extraction

Abstract: We propose an approach to measuring the misallocation of production in a market that compares actual industry cost curves to undistorted (counterfactual ) supply curves. As compared to traditional, TFPR-based, misallocation measures, this approach leverages cost data, such that results are readily mapped to welfare metrics. As an application, we analyze global crude oil extraction and quantify the extent of misallocation therein, together with the proportion attributable to market power. From 1970 to 2014, we … Show more

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Cited by 77 publications
(25 citation statements)
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“…See alsoAsker et al (2019), who use micro-data from the oil industry to show much higher amounts of economic waste than the classic Harberger analysis suggested.4 Our results allow for a form of entry relying on individual demand curves with choke-prices. In this…”
mentioning
confidence: 77%
“…See alsoAsker et al (2019), who use micro-data from the oil industry to show much higher amounts of economic waste than the classic Harberger analysis suggested.4 Our results allow for a form of entry relying on individual demand curves with choke-prices. In this…”
mentioning
confidence: 77%
“…Furthermore, they show that 22 percent of this efficiency loss (i.e., 163 billion US$) can be attributed to OPEC's market power. 3 It is interesting to note that while both Asker et al (2019) and our paper point to the importance of the inefficiencies due to OPEC's market power, we get to this conclusion from quite different approaches, an indication of the robustness of our results.…”
Section: Introductionmentioning
confidence: 52%
“…The importance of the inefficient order of use of the different oil reserves is corroborated by the recent findings of Asker et al (2019). While we use a stylized model with two different types of reserves, they use a rich micro-dataset on production costs and reserves of 11,455 oil fields (constituting 99.9 percent of global reserves).…”
Section: Introductionmentioning
confidence: 69%
See 1 more Smart Citation
“…Asker et al (2019) also assume constant marginal costs for the oil industry.PUC-Rio -Certificação Digital Nº 1712586/CA…”
mentioning
confidence: 99%