UMD Theses and Dissertations
Permanent URI for this collectionhttp://hdl.handle.net/1903/3
New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.
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Item ESSAYS ON QUALITY CERTIFICATION IN FOOD AND AGRICULTURAL MARKETS(2017) Adalja, Aaron Ashok; Houde, Sebastien; Agricultural and Resource Economics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This dissertation features three essays exploring the market impacts of two types of quality certification---a voluntary non-GMO label and a mandatory food safety standard. In the first essay, I use a hedonic framework to examine whether firms use a voluntary quality certification for non-GMO products to extract rent from customers. Using U.S. retail scanner data coupled with data from a voluntary non-GMO label, I find no evidence of price premiums or quantity changes for newly certified non-GMO products. Instead, the label may induce firms to develop new non-GMO products targeted to high-valuation consumers. The second essay examines how voluntary non-GMO food labeling impacts demand in the ready-to-eat [RTE] cereal industry. I estimate a discrete-choice, random coefficients logit demand model using monthly data for 50 cereal brands across 100 DMAs. Consumer tastes for the label are widely distributed, and this heterogeneity plays a substantial role in individual choices; but, on average, the non-GMO label has a positive impact on demand. I estimate welfare effects by simulating two labeling scenarios: one in which all brands use the non-GMO label, and one in which no brands use the label. The simulation results suggest that non-GMO labeling in the RTE cereal industry may improve consumer welfare on average. In the final essay, we use data from an original national survey of produce growers to examine whether complying with the Food Safety Modernization Act's Produce Rule will be prohibitively costly for some growers. We examine how food safety measure expenditures required by the Rule vary with farm size and practices using a double hurdle model to control for selectivity in using food safety practices and reporting expenditures. Expenditures per acre decrease with farm size, and growers using sustainable farming practices spend more than conventional growers on many food safety practices. We use our estimates to quantify how the cost burden of compliance varies with farm size. We also explore the policy implications of exemptions to the Rule by simulating how changes to exemption thresholds might affect the cost burden of each food safety practice on farms at the threshold.Item ASSESSING QUALITY IN HIGH-UNCERTAINTY MARKETS: ONLINE REVIEWS OF CREDENCE SERVICES(2016) Lantzy, Shannon; Stewart, Katherine; Viswanathan, Siva; Business and Management: Decision & Information Technologies; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)In economics of information theory, credence products are those whose quality is difficult or impossible for consumers to assess, even after they have consumed the product (Darby & Karni, 1973). This dissertation is focused on the content, consumer perception, and power of online reviews for credence services. Economics of information theory has long assumed, without empirical confirmation, that consumers will discount the credibility of claims about credence quality attributes. The same theories predict that because credence services are by definition obscure to the consumer, reviews of credence services are incapable of signaling quality. Our research aims to question these assumptions. In the first essay we examine how the content and structure of online reviews of credence services systematically differ from the content and structure of reviews of experience services and how consumers judge these differences. We have found that online reviews of credence services have either less important or less credible content than reviews of experience services and that consumers do discount the credibility of credence claims. However, while consumers rationally discount the credibility of simple credence claims in a review, more complex argument structure and the inclusion of evidence attenuate this effect. In the second essay we ask, “Can online reviews predict the worst doctors?” We examine the power of online reviews to detect low quality, as measured by state medical board sanctions. We find that online reviews are somewhat predictive of a doctor’s suitability to practice medicine; however, not all the data are useful. Numerical or star ratings provide the strongest quality signal; user-submitted text provides some signal but is subsumed almost completely by ratings. Of the ratings variables in our dataset, we find that punctuality, rather than knowledge, is the strongest predictor of medical board sanctions. These results challenge the definition of credence products, which is a long-standing construct in economics of information theory. Our results also have implications for online review users, review platforms, and for the use of predictive modeling in the context of information systems research.