The DOI matches its Crossref record.
Make Versus Buy in Trucking:Asset Ownership, Job Design, and Information
Abstract
Explaining patterns of asset ownership is a central goal of both organizational economics and industrial organization. We develop a model of asset ownership in trucking, which we test by examining how the adoption of different classes of on-board computers (OBCs) between 1987 and 1997 influenced whether shippers use their own trucks for hauls or contract with for-hire carriers. We find that OBCs' incentive-improving features pushed hauls toward private carriage, but their resource-allocation-improving features pushed them toward for-hire carriage. We conclude that ownership patterns in trucking reflect the importance of both incomplete contracts and of job design and measurement issues.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Goldfarb, A., & Tucker, C. (2019) · Journal of Economic Literature · doi:10.1257/jel.20171452 · Cited by 2,744
Berger, A. N., Miller, N. H., Petersen, M. A., Rajan, R. G., & Stein, J. C. (2005) · Journal of Financial Economics · doi:10.1016/j.jfineco.2004.06.003 · Cited by 1,888
Firms, Contracts, and Trade Structure
Antras, P. (2003) · The Quarterly Journal of Economics · doi:10.1162/003355303322552829 · Cited by 1,194
Brynjolfsson, E., Li, D., & Raymond, L. (2023) · National Bureau of Economic Research · doi:10.3386/w31161 · Cited by 995
Brynjolfsson, E., Li, D., & Raymond, L. (2025) · The Quarterly Journal of Economics · doi:10.1093/qje/qjae044 · Cited by 1,083
Cleaning House: The Impact of Information Technology Monitoring on Employee Theft and Productivity
Pierce, L., Snow, D. C., & McAfee, A. (2015) · Management Science · doi:10.1287/mnsc.2014.2103 · Cited by 251
Metadata
- Authors
- Baker, G. P., & Hubbard, T. N.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2003-05-01
- Volume
- 93
- Issue
- 3
- Pages
- 551-572
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W3125327135
- Cited by
- 306
- References
- 0
- FWCI
- 36.34
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
