Data and Code for: When Does Regulation Distort Costs? Lessons from Fuel Procurement in US Electricity Generation: Comment.

Principal Investigator(s):  View help for Principal Investigator(s) Jin Soo Han, Korea Air Force Academy; Jean-François Houde, University of Wisconsin-Madison; Arthur A. van Benthem, University of Pennsylvania. The Wharton School; Jose Miguel Abito, University of Pennsylvania. The Wharton School

Version:  View help for Version V1

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  data 10/12/2020 09:25:PM
  dofiles 03/25/2021 06:43:PM
README.pdf application/pdf 247 KB 10/13/2020 02:30:PM

Project Citation: 

Han, Jin Soo, Houde, Jean-François, van Benthem, Arthur A., and Abito, Jose Miguel. Data and Code for: When Does Regulation Distort Costs? Lessons from Fuel Procurement in US Electricity Generation: Comment. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-03-29. https://doi.org/10.3886/E124101V1

Project Description

Summary:  View help for Summary
We revisit one of the results in Cicala (2015) and show that the previously estimated large and significant effects of U.S. electricity restructuring on fuel procurement are not robust to the presence of outliers. Using methodologies from the robust statistics literature, we estimate the effect to be less than half of the previous estimate and not statistically different from zero. The robust methodology also identifies as outliers the plants owned by a single company whose coal contracts were renegotiated before discussions about restructuring even started.
Funding Sources:  View help for Funding Sources University of Pennsylvania. The Wharton School

Scope of Project

Subject Terms:  View help for Subject Terms power plants; electric utilities; electricity; deregulation; negotiation; outliers; influential observations; robust estimation; difference-in-differences; divestiture
JEL Classification:  View help for JEL Classification
      L51 Economics of Regulation
      L94 Electric Utilities
      Q48 Energy: Government Policy
Geographic Coverage:  View help for Geographic Coverage United States of America
Time Period(s):  View help for Time Period(s) 1/1/1990 – 12/31/2009
Collection Date(s):  View help for Collection Date(s) 1/1/1990 – 12/31/2013
Universe:  View help for Universe Coal-fired power plants in the United States of America between 1990 and 2009
Data Type(s):  View help for Data Type(s) administrative records data; event/transaction data; geographic information system (GIS) data
Collection Notes:  View help for Collection Notes Certain parts of data are proprietary and restricted for public access. Confidential data include proprietary information on power plant fuel expenditure, M&As and incentive regulation status. See README file for further details.

Methodology

Response Rate:  View help for Response Rate
Any power plant with the generation capacity above 50MW is required to report its fuel expenditure to the Energy Information Administration.
Sampling:  View help for Sampling Power plants that burn coal as a primary source for generation are used for this study.
Data Source:  View help for Data Source
  • Energy Information Administration, Electric Power Monthly Tables and Survey Forms EIA-423, FERC-423, EIA-759, EIA-767, EIA-860, EIA-861, EIA-876, EIA-906, and EIA-923. 1990-2009.
  • Environmental Protection Agency, Air Markets Program Data and eGRID. 1996-2012.
  • Thomson Reuters, M&A Data. 1990-2009
  • Regulatory Research Associates, Regulatory Focus. 1990-1998.
  • United States Census Bureau, Cartographic Boundary Data (GIS Shapefile). 2016 
  • Cicala, Steve. “Replication Data for: When Does Regulation Distort Costs? Lessons from Fuel Procurement in US Electricity Generation.” ICPSR - Interuniversity Consortium for Political and Social Research, 2015. https://doi.org/10.3886/E112957V1.

Collection Mode(s):  View help for Collection Mode(s) other
Unit(s) of Observation:  View help for Unit(s) of Observation Power plant, monthly level observation
Geographic Unit:  View help for Geographic Unit Individual power plants

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V1 [2021-03-29]

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