Price-Matching Guarantees

Are price-matching guarantees anticompetitive? This paper examines the incentives for price-matching guarantees in markets where information about prices is costly. Under some conditions the conventional explanation of price-matching announcements as facilitating collusion finds support, and is even strengthened. But our model provides an additional explanation for the practice. A price-matching guarantee may be a credible and easily understood means of communicating to uninformed consumers that a firm is low-priced. The credibility of the signal to uninformed consumers is assured by the behaviour of informed consumers. We contrast the testable implications of our model with those of the anticompetitive theories and discuss supportive evidence from an illustrative sample of retailers.

Advertising strategy in the presence of reviews: An empirical analysis

We study the relationship between online reviews and advertising spending in the hotel industry. Combining a dataset of TripAdvisor reviews with other datasets describing these hotels’ advertising expenditures, we show, first, that online ratings have a causal demand-side effect on ad spending. Second, this effect is negative: hotels with higher ratings spend less on advertising than hotels with lower ratings. This suggests that hotels treat TripAdvisor ratings and advertising spending as substitutes, not complements. Third, the relationship is stronger for independent hotels than for chains, and stronger in less differentiated markets than in more differentiated markets. The former suggests that a strong brand name continues to provide some immunity to reviews and the latter that the advertising response is stronger when ratings are more likely to be pivotal. Finally, we show that the relationship between online ratings and advertising has strengthened over time, just as TripAdvisor has become more popular, implying that firms respond to online reviews if and only if consumers respond to them

Advertising strategy in the presence of reviews: An empirical analysis

We study the relationship between online reviews and advertising spending in the hotel industry. Combining a dataset of TripAdvisor reviews with other datasets describing these hotels’ advertising expenditures, we show, first, that online ratings have a causal demand-side effect on ad spending. Second, this effect is negative: hotels with higher ratings spend less on advertising than hotels with lower ratings. This suggests that hotels treat TripAdvisor ratings and advertising spending as substitutes, not complements. Third, the relationship is stronger for independent hotels than for chains, and stronger in less differentiated markets than in more differentiated markets. The former suggests that a strong brand name continues to provide some immunity to reviews and the latter that the advertising response is stronger when ratings are more likely to be pivotal. Finally, we show that the relationship between online ratings and advertising has strengthened over time, just as TripAdvisor has become more popular, implying that firms respond to online reviews if and only if consumers respond to them

Advertising strategy in the presence of reviews: An empirical analysis

We study the relationship between online reviews and advertising spending in the hotel industry. Combining a dataset of TripAdvisor reviews with other datasets describing these hotels’ advertising expenditures, we show, first, that online ratings have a causal demand-side effect on ad spending. Second, this effect is negative: hotels with higher ratings spend less on advertising than hotels with lower ratings. This suggests that hotels treat TripAdvisor ratings and advertising spending as substitutes, not complements. Third, the relationship is stronger for independent hotels than for chains, and stronger in less differentiated markets than in more differentiated markets. The former suggests that a strong brand name continues to provide some immunity to reviews and the latter that the advertising response is stronger when ratings are more likely to be pivotal. Finally, we show that the relationship between online ratings and advertising has strengthened over time, just as TripAdvisor has become more popular, implying that firms respond to online reviews if and only if consumers respond to them

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

Background Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide.Methods A multimethods analysis was performed as part of the GlobalSurg 3 study-a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital.Findings Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3.85 [95% CI 2.58-5.75]; p<0.0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63.0% vs 82.7%; OR 0.35 [0.23-0.53]; p<0.0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer.Interpretation Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised

Can Brand Extension Signal Product Quality? ∗

I thank the Editor, Area Editor, and referees for their comments on a previous version of the paper. The paper also benefited from prior presentation at UC-Irvine, University of Toronto, London Business School, Koç University, and the 2010 QME conference. I am especially grateful to Nanda Kumar, Jeanine Miklós-Thal, and Birgir Wernerfelt for their detailed comments and encouragement. This research was supporte

Market Segmentation, Self-Selection, and Product Line Design

The purpose of this paper is to develop a theory of market segmentation based on consumer self-selection. The extant theory is based on the third-degree price discrimination model of Pigou, central assumptions of which are that the firm can directly address individual segments and isolate them. By using consumer self-selection, I am relaxing these assumptions. In the context of a monopolist designing a product line, I show that this relaxation has significant implications for how the products and prices are chosen and what they look like. In particular, segments may be aggregated even though there are no economies of scale. Furthermore, consumer self-selection enables us to model “cannibalization” and competition among firms.market segmentation, self-selection, aggregation of segments, product line design