Amid the fast-growing market of plant-based alternatives to conventional meat, there still lies uncertainty about consumers’ preferences for these new products. Through an online survey using a Becker-DeGroot-Marschak mechanism, I test the effect that environmental information provision has on consumers’ immediate and long-term willingness- to-pay for the Whopper and Impossible Whopper from Burger King. Respondents were randomly assigned to either a control group or a treatment group, and both received information on taste in an attempt to isolate the effect of environmental information. Results show that certain groups respond to the information differently. Specifically, consumers who care about climate change are affected greatly by environmental in- formation suggesting these “climate advocates” are not fully informed despite the efforts of Impossible Foods. Vegetarians and highly educated individuals have relatively stronger preferences for the plant-based burger, in line with previous studies. Results also show a lasting effect of information on WTP, suggesting little need for repeated interventions.

This survey takes information on a participant’s beliefs on privacy security, the general digital knowledge, demographics, and willingness-to-pay points on if they would delete information on their social media, to see how an information treatment affects those payment points. This information treatment is meant to make half of the participants think about the deeper ramifications of the information they reveal. The initial hypothesis is that this information will make people want to pay more to remove their information from the web, but the results find a surprising negative correlation with the treatment.

This study estimates the effect of district wealth on Arizona Empowerment Scholarship Account program participation using data from the Arizona Department of Education. We find that students from poor districts are not more likely to participate as school performance decreases.Conversely, those from wealthy districts do increase participation as school performance decreases. We briefly try to explain the observed heterogeneity through survey results and commenting on the program design.

With the ongoing student debt crisis and the continuing increase in the cost of attending a college or university, there has been an increasing conversation regarding the price of room and board. Prior studies have shown the presence of a relationship between the distance to a location of interest, but few have been done with college campuses in mind. To answer this question, we used the Hedonic Pricing Model in order to isolate the effect that the distance to campus has on the rental price of apartments. Our results showed a clear positive nonlinear relationship between distance to campus and the price of apartment rentals in the area surrounding Arizona State University.

There is a growing interest among policymakers and economists in quantifying the relationship between climate and economic output. Previous studies have demon- strated a clear relationship between temperature on economic growth but they generally do not report significant impacts of rainfall in regions outside of developing countries. Using gridded panel data, this paper estimates the effects of the number of days during the growing season with no rainfall on per capita gross domestic product (GDP) growth in the areas of the United States over the Ogallala and Mississippi Aquifers. Measuring precipitation in terms of growing season dry days instead of aggregate rainfall levels reveals a strong negative relationship between rainfall deficits and economic growth.

This study adds to the literature about residential choice and sustainable transportation. Through the interviews and the personal stories gathered, there was diversity shown in the residential location choice process. We also noticed that “commute” means different things to different households, and that many people did not consider their commute to work to be a primary factor determining their final home location. Moreover, many people were willing to increase their commute time, or trade access to desirable amenities for a longer commute. Commuting time to work was one example of the tradeoffs that homeowners make when choosing a home, but there were also others such as architectural type and access to neighborhood amenities. Lastly, time constraints proved to be a very significant factor in the home buying process. Several of our households had such strict time constraints that limited their search to a point of excluding whole areas. Overall, our study sheds light on transportation’s role in residential choice and underscores the complexity of the location choice process.

This dissertation focuses on consequences of public policy on consumption responses.

Chapter 1 evaluates the effect of Thailand's car tax rebate scheme in 2012 on household consumption by examining aggregate and administrative data. Car sales doubled during the policy and dramatically declined afterwards while domestic household spending was sluggish following the policy, suggesting a substantial dampening effect of the policy on future household consumption.



Chapter 2 develops a formal model to evaluate Thai household consumption responses. A life-cycle model of consumption and saving is developed with features including uninsured income risks, liquidity constraints, durable goods with embedded adjustment costs and non-homothetic preference in durable goods. Adjustment costs and liquidity constraints are important frictions in the evaluation of the shorter-term responses to changes in relative prices, while non-homotheticity captures the income effect given that cars are luxury goods in the Thai economy context. Key parameters and the partial equilibrium responses, which are key inputs to inform the aggregate outcome of the policy, are estimated. The results show that the car-tax rebates had a sizable impact on slowing Thai household consumption following the policy due to high level of elasticity of intertemporal substitution among Thai households.

Chapter 3 examines the effect of public smoking bans in the EU countries. Using individual-level data, this chapter investigates whether nationwide smoke-free laws in Europe lead to higher smoking reduction and cessation rates among mature smokers. Exploiting the different timing in imposing smoking ban laws and using a difference-in-differences approach, I find that light smokers and heavy smokers were more likely to quit smoking after comprehensive bans were in place while there was no significant effect on average smokers. The results confirm that smoking bans, particularly when enforced more strictly and comprehensively, lead to higher smoking cessation rates even among mature smokers with well-established addiction.

The Clean Power Plan seeks to reduce CO2 emissions in the energy industry, which is the largest source of CO2 emissions in the United States. In order to comply with the Clean Power Plan, electric utilities in Arizona will need to meet the electricity demand while reducing the use of fossil fuel sources in generation. The study first outlines the organization of the power sector in the United States and the structural and price changes attempted in the industry during the period of restructuring. The recent final rule of the Clean Power Plan is then described in detail with a narrowed focus on Arizona. Data from APS, a representative utility of Arizona, is used for the remainder of the analysis to determine the price increase necessary to cut Arizona's CO2 emissions in order to meet the federal goal. The first regression models the variables which affect total demand and thus generation load, from which we estimate the marginal effect of price on demand. The second regression models CO2 emissions as a function of different levels of generation. This allows the effect of generation on emissions to fluctuate with ranges of load, following the logic of the merit order of plants and changing rates of emissions for different sources. Two methods are used to find the necessary percentage increase in price to meet the CPP goals: one based on the mass-based goal for Arizona and the other based on the percentage reduction for Arizona. Then a price increase is calculated for a projection into the future using known changes in energy supply.

Agent Based modeling has been used in computer science to simulate complex phenomena. The introduction of Agent Based Models into the field of economics (Agent Based Computational Economics ACE) is not new, however work on making model environments simpler to design for individuals without a background in computer science or computer engineering is a constantly evolving topic. The issue is a trade off of how much is handled by the framework and how much control the modeler has, as well as what tools exist to allow the user to develop insights from the behavior of the model. The solutions looked at in this thesis are the construction of a simplified grammar for model construction, the design of an economic based library to assist in ACE modeling, and examples of how to construct interactive models.

In order to better understand how the national legislative body works, this research examines the factors that influence the level of productivity in the U.S. Congress. By mapping these characteristics into the classical framework of an economic production function, this model serves to produce a more transparent image of the aspects of Members of Congress that are desirable to form a productive legislative body.