To make high-quality research more accessible and easier to explore.

Fields:
5 results

The Welfare Effects of Bundling in Multichannel Television Markets

American Economic Review 2012 102(2), 643-685 open access
We measure how the bundling of television channels affects short-run welfare. We estimate an industry model of viewership, demand, pricing, bundling, and input-market bargaining using data on ratings, purchases, prices, bundles, and input costs. We conduct simulations of à la carte policies that require distributors to offer individual channels for sale to consumers. We estimate that negotiated input costs rise by 103.0 percent under à la carte. These higher input costs offset consumer benefits from purchasing individual channels. Mean consumer and total surplus change by an estimated —5.4 to 0.2 percent and —1.7 to 6.0 percent, respectively.

The Welfare Effects of Vertical Integration in Multichannel Television Markets

Econometrica 2018 86(3), 891-954
We investigate the welfare effects of vertical integration of regional sports networks (RSNs) with programming distributors in U.S. multichannel television markets. Vertical integration can enhance efficiency by reducing double marginalization and increasing carriage of channels, but can also harm welfare due to foreclosure and incentives to raise rivals' costs. We estimate a structural model of viewership, subscription, distributor pricing, and affiliate fee bargaining using a rich data set on the U.S. cable and satellite television industry (2000?2010). We use these estimates to analyze the impact of simulated vertical mergers and divestitures of RSNs on competition and welfare, and examine the efficacy of regulatory policies introduced by the U.S. Federal Communications Commission to address competition concerns in this industry.

Uncertainty and Learning in Pharmaceutical Demand

Econometrica 2005 73(4), 1137-1173 open access
Exploiting a rich panel data set on anti-ulcer drug prescriptions, we measure the effects of uncertainty and learning in the demand for pharmaceutical drugs. We estimate a dynamic matching model of demand under uncertainty in which patients learn from prescription experience about the effectiveness of alternative drugs. Unlike previous models, we allow drugs to have distinct symptomatic and curative effects, and endogenize treatment length by allowing drug choices to affect patients' underlying probability of recovery. We find that drugs' rankings along these dimensions differ, with high symptomatic effects for drugs with the highest market shares and high curative effects for drugs with the greatest medical efficacy. Our results also indicate that while there is substantial heterogeneity in drug efficacy across patients, learning enables patients and their doctors to dramatically reduce the costs of uncertainty in pharmaceutical markets.

Quality Overprovision in Cable Television Markets

American Economic Review 2019 109(3), 956-995 open access
We measure the welfare distortions from endogenous quality choice in imperfectly competitive markets. For US cable television markets between 1997–2006, prices are 33 percent to 74 percent higher and qualities 23 percent to 55 percent higher than socially optimal. Such quality overprovision contradicts classic results in the literature and our analysis shows that it results from the presence of competition from high-end satellite TV providers: without the competitive pressure from satellite companies, cable TV monopolists would instead engage in quality degradation. For welfare, quality overprovision implies cable customers would prefer smaller, lower-quality cable bundles at a lower price, amounting to a twofold increase in consumer surplus for the average consumer.

Asymmetric Information and Imperfect Competition in Lending Markets

American Economic Review 2018 108(7), 1659-1701 open access
We study the effects of asymmetric information and imperfect competition in the market for small business lines of credit. We estimate a structural model of credit demand, loan use, pricing, and firm default using matched firm-bank data from Italy. We find evidence of adverse selection in the form of a positive correlation between the unobserved determinants of demand for credit and default. Our counterfactual experiments show that while increases in adverse selection increase prices and defaults on average, reducing credit supply, banks’ market power can mitigate these negative effects.