Code for: "Relinquishing Riches: Auctions vs Informal Negotiations in Texas Oil and Gas Leasing"
Principal Investigator(s): View help for Principal Investigator(s) Thomas R. Covert, University of Chicago. Booth School of Business; Richard L Sweeney, Boston College
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
code | 01/11/2023 05:47:PM | ||
output | 01/11/2023 05:46:PM | ||
writeups | 01/11/2023 05:49:PM | ||
|
text/plain | 342 bytes | 01/11/2023 12:46:PM |
|
text/x-web-markdown | 28.9 KB | 01/11/2023 12:46:PM |
|
application/pdf | 262.7 KB | 01/11/2023 12:50:PM |
|
text/plain | 17.4 KB | 01/11/2023 12:46:PM |
Project Citation:
Covert, Thomas R. , and Sweeney, Richard L. Code for: “Relinquishing Riches: Auctions vs Informal Negotiations in Texas Oil and Gas Leasing.” Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-02-17. https://doi.org/10.3886/E181143V1
Project Description
Summary:
View help for Summary
This paper compares outcomes from informally negotiated oil and gas leases to those awarded via centralized auction. We focus on Texas, where legislative decisions in the early twentieth century assigned thousands of proximate parcels to different mineral allocation mechanisms. We show that during the fracking boom, which began unexpectedly decades later, auctioned leases generated at least 55 percent larger up- front payments and 40 percent more output than negotiated leases did. These results suggest large potential gains from employing centralized, formal mechanisms in markets that traditionally allocate in an unstructured fashion, including the broader $3 trillion market for privately owned minerals.
These materials provide the code to estimate the results in the paper. The data for this project is published separately, as a Harvard Dataverse replication dataset: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/9WJ3JK. The makefile contained within these materials will automatically download the replication data, if the replicator has not already acquired them.
These materials provide the code to estimate the results in the paper. The data for this project is published separately, as a Harvard Dataverse replication dataset: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/9WJ3JK. The makefile contained within these materials will automatically download the replication data, if the replicator has not already acquired them.
Scope of Project
Subject Terms:
View help for Subject Terms
Auctions;
decentralized markets;
oil and gas exploration
JEL Classification:
View help for JEL Classification
D44 Auctions
L13 Oligopoly and Other Imperfect Markets
Q35 Hydrocarbon Resources
D44 Auctions
L13 Oligopoly and Other Imperfect Markets
Q35 Hydrocarbon Resources
Geographic Coverage:
View help for Geographic Coverage
Texas
Time Period(s):
View help for Time Period(s)
1/1/2004 – 12/31/2016
Collection Date(s):
View help for Collection Date(s)
2/1/2017 – 9/2/2021
Universe:
View help for Universe
Mineral leases in land originally belonging to the Texas Permanent School Fund.
Data Type(s):
View help for Data Type(s)
administrative records data;
geographic information system (GIS) data;
program source code
Related Publications
Published Versions
Report a Problem
Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.
This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.