Output Decisions and Price Matching: Theory and Experiment
Bibliographic record
Abstract
We study the effects of price matching in a setting in which each firm selects both its price and output, simultaneously. We show that the availability of a price-matching option leads to the Cournot outcome in this setting. Our experimental study confirms this result in the laboratory. Our finding is a stark contrast to the one obtained in the standard price competition that the most likely market price in the presence of a price-matching option is the monopolistic price. In addition, we show that price matching benefits consumers in markets with a large number of firms. If a market has a few firms, then the effects of price matching on consumers depend on the market demand and cost functions. Thus, our study suggests that the effect of price matching depends on the strategic variables of the firms. Data and the online appendix are available at https://doi.org/10.1287/mnsc.2017.2788 . This paper was accepted by Eric Anderson, marketing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".