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Description
The Patient Protection and Affordable Care Act of 2010 was created as an overhaul of the US Healthcare system with a goal of getting all American citizens and legal residents healthcare that was both affordable and of good quality. Now almost a year removed from it going into effect, this study looks to determine how the ACA has worked in getting individuals who were previously uninsured and required charitable-based healthcare into health insurance programs within a small population in Arizona. This study evaluates the type of insurance program, the quality and ease of access of the care, and the general affordability of the healthcare. This study found that 75% of individuals surveyed had gained health insurance in the last year, with 95% expecting to be insured for 2015. The large majority rated the quality of their care and the accessibility of it as good, with corresponding increased use of primary care providers as a health resource. The affordability of the care was still a major issue for those who were found to be uninsured and for those who were insured. Despite affordability issues, self-reported measures of general health and access to care were reported by the majority of respondents to have improved over the last 12 months.
ContributorsHonan, Timothy Francis (Author) / Ketcham, Jonathan (Thesis director) / Jehn, Megan (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2015-05
Description
In two independent and thematically connected chapters, I investigate consumers' willingness to pay a price premium in response to product development that entails prosocial attributes (PATs), those that allude to the reduction of negative externalities to benefit society, and to an innovative participatory pricing design called 'Pay-What-You-Want' (PWYW) pricing, a mechanism that relinquishes the determination of payments in exchange for private goods to the consumers themselves partly relying on their prosocial preferences to drive positive payments. First, I propose a novel statistical approach built on the choice based contingent valuation technique to estimate incremental willingness to pay (IWTP) for PATs that accounts for consumer heterogeneity, dependence in the decision making processes, and incentive compatibility. I validate the approach by estimating IWTP for a variety of PATs and contrast the theoretical and managerial benefits of using the proposed approach over extant techniques used in the literature for this purpose. Second, I propose a general and flexible statistical modeling framework for estimating PWYW payments that exceed zero. It relies on the joint estimation of three types of consumer decision processes namely, the consumer propensity to default to an explicit price recommendation, the propensity to pay a least legitimate price, and the payment of a freely-chosen non-zero payment. Of particular interest is the model's ability to account for a wide variety of design constraints such as the setting of price bounds, explicit price recommendations, and the provision of a menu of discrete prices to choose from. I validate the approach by estimating PWYW payments for a variety of products such as music licenses, snacks, and sports tickets. I specifically examine and report the differential impact of three managerially controllable variables namely, 'payment anonymity', 'information on payment recipients' and 'information of product value/quality'.
ContributorsChristopher, Ranjit M (Author) / Wiles, Michael (Thesis advisor) / Ketcham, Jonathan (Committee member) / Park, Sungho (Committee member) / Arizona State University (Publisher)
Created2016
Description
Total digital media advertising spending of $72.5 billion surpassed total television Ad spending of $71.3 billion for the first time ever in 2016. Approximately $39 billion, or 54% of the digital media advertising spend, involved pre-programmed software that purchased Ads on behalf of a buyer in Real-Time Bidding (RTB) settings. A major concern for Ad buyers is sub-optimal spending in RTB settings owing to biases in the attribution of customer conversions to Ad impressions. The purpose of this research is twofold. First, identify and propose a novel experimental design and analysis plan for to handling a previously unidentified and unaddressed source of endogeneity: count/quality simultaneity bias (CQB). Second, conduct a field study using data for Ad response rates, cost, and observed consumer behavior to solve for the profit maximizing daily Ad frequency per customer. One large online retailer provided data for Ad impressions, bid costs, response rates, revenue per visit, and operating costs for 153,561 unique users over 23 days. Unique visitors were randomly assigned to one of seven treatment groups with one, two, three, four, five, and six impressions per day limits as well as a final condition with no daily impression cap. Ordinary least square models (OLS) were fit to the data and a non-linear relationship between Ad impressions and site visits demonstrating declining marginal effect of Ad impression on site visits after an optimal point. The results of the field study confirmed the existence of negative CQB and demonstrated how my novel experimental design and analysis can reduce the negative bias in the estimate of impression quantity on customer response. Second, managers interested in improving the efficiency of advertising spend should restrict display advertising to only the highest quality inventory through specific site targeting and by leveraging direct buys and private marketplace deals. This strategy ensures that subsequent impressions are not of lower quality by restricting the pool of possible impressions from a homogenous set of high quality inventory.
ContributorsFay, Bradley (Author) / Mokwa, Michael P. (Thesis advisor) / Park, Sungho (Thesis advisor) / Han, Sang-Pil (Committee member) / Christopher, Ranjit M (Committee member) / Arizona State University (Publisher)
Created2017