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Record W4405763469 · doi:10.1007/s10640-024-00935-1

Transaction Costs, Participation, and the Cost-Effectiveness of Reverse Auctions: Evidence from a Laboratory Experiment

2024· article· en· W4405763469 on OpenAlex
Tongzhe Li, Leah H. Palm‐Forster, Siddika Bhuiyanmishu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironmental and Resource Economics · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicAuction Theory and Applications
Canadian institutionsUniversity of Guelph
FundersUniversity of Delaware
KeywordsTransaction costCommon value auctionReverse auctionMicroeconomicsEconomicsEnvironmental economicsCost effectivenessWillingness to payBusinessIndustrial organizationOperations management

Abstract

fetched live from OpenAlex

Abstract Reverse auctions are often recognized as a tool that can cost-effectively allocate agri-environmental program funds to support environmentally-beneficial land management practices. However, transaction costs can limit participation in auctions which limits their cost-effectiveness. We use a laboratory experiment to examine how various levels of transaction costs influence participation and bidding behavior in discriminatory-price reverse auctions in low and high budget scenarios. Our experimental results show that transaction costs limit auction participation, increase bid amounts, and reduce cost-effectiveness. The negative effect of transaction costs on participation is particularly large when the budget level is low. Using the results of our experiment, we design a simulation to investigate whether reducing transaction costs via subsidies could increase program cost-effectiveness under various conditions. We find that transaction cost subsidies increase auction cost-effectiveness; however, our study raises new questions about how these subsidies are designed and the implications for the overall costs and benefits of efforts to reduce transaction costs in reverse auctions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.047
GPT teacher head0.321
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it