Measuring Transaction Costs in Public Sector Contracting Through Machine Learning and Contract Text.
Transaction cost (TC) theoretical constructs are central to research throughout the social sciences, yet key concepts, such as measurability and asset specificity, often defy systematic empirical measurement. In government contracting research, empirical measurements of key TC theoretical constructs...
| Publicado en: | Public Administration Review Vol. 86; no. 1; pp. 199 - 217 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Wiley-Blackwell
Jan/Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=190956083&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 190956083 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00333352 PBA jtl: Public Administration Review issn: 00333352 maglogo: Y pubinfo: dt: Jan/Feb2026 vid: 86 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 190956083 10.1111/puar.13947 ppf: 199 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 510KB tig: atl: Measuring Transaction Costs in Public Sector Contracting Through Machine Learning and Contract Text. aug: au: Potoski, Matthew Lund‐Sørensen, Bjarke Petersen, Ole Helby affil: Bren School of Environmental Science and Management, University of California, Santa Barbara California,, USA Department of Social Sciences and Business, Roskilde University, Roskilde, Denmark su: European Union Public administration Transaction costs Machine learning Public contracts Legal documents Statistics Government purchasing Acquisition of data sug: subj: Public administration European Union Other General Government Support Transaction costs Machine learning Public contracts Legal documents Statistics Government purchasing Acquisition of data keyword: contract management machine learning transaction costs contract management machine learning transaction costs ab: Transaction cost (TC) theoretical constructs are central to research throughout the social sciences, yet key concepts, such as measurability and asset specificity, often defy systematic empirical measurement. In government contracting research, empirical measurements of key TC theoretical constructs are limited to the International City/County Management Association's surveys of US municipal and county governments. We present a preregistered method using machine learning algorithms to generate product‐level TC measures from contract text data and a government contract manager survey. We verify the algorithms' out‐of‐sample performance and use them to generate TC measures for additional products from corresponding contract text data. The result is a publicly available database of new TC measures for 176 diverse products and services covered in the European Union's Common Procurement Directives. These new measures facilitate the application of the TC framework across public management, including research on government contracting, collaboration, networks, and governance. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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