Did the amount of media attention to the H1N1 flu or the information that the Centers for Disease Control (CDC) disseminates about the H1N1 flu, influence individuals' decisions to avoid public locations during the 2009-2010 H1N1 Influenza pandemic? I investigate…
Did the amount of media attention to the H1N1 flu or the information that the Centers for Disease Control (CDC) disseminates about the H1N1 flu, influence individuals' decisions to avoid public locations during the 2009-2010 H1N1 Influenza pandemic? I investigate this question using weekly-confirmed H1N1 cases from the CDC, the American Time Use Survey (ATUS), and the Google Trends weekly search volume index for certain key terms. I found that individuals did exhibit some avoidance behaviour during the flu pandemic in response to the CDC data, but not the measures of media attention. However, the magnitudes of these adjustments are small in comparison to other measures of avoidance behaviour, such as reduced time in public during extreme weather events.
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This dissertation consists of three chapters. Chapter one examines whether spending different amount of time outdoors on weekends and weekdays change the estimates of the impact of ground level ozone on the incidents of respiratory disease and asthma in California.…
This dissertation consists of three chapters. Chapter one examines whether spending different amount of time outdoors on weekends and weekdays change the estimates of the impact of ground level ozone on the incidents of respiratory disease and asthma in California. This chapter contributes to the literature that focuses on the short term effect of air pollution on public health. Using the American Time Use Survey data, I find that on average people spend 50 minutes outdoors on weekends more than weekdays. Incorporating this difference in estimating the health impact of ozone changes the results significantly, especially for adults 20-64. The specification also allows me to find a precise estimate for each day of the week.
In chapter two I estimate the effect of exposure to ozone on skills of children aged 3 to 15 years. I use the Letter-Word (LW) test scores from the Panel Study of Income Dynamics (PSID) as a measure of children's skills. Due to omitted variable bias, OLS estimate of ozone effect on children's skill is positive and imprecisely estimated. To mitigate the omitted variable bias I use the instrumental variables approach. This method accounts for endogeneity of pollution. The effect of ozone on children's skills becomes negative but only marginally significant.
In chapter three, I estimate a production function of skill formation for children 3 to 15 years old and simultaneously account for their childhood exposure to ozone. I find that a one standard deviation increase in ozone leads to a 0.07 standard deviation reduction in the LW test scores on average. The LW test score of 3 year olds drops by 0.10 standard deviation in response to one standard deviation increase in pollution levels, while for the 14 year olds this effect is only half as much, 0.04 standard deviation. I also find that households exhibit compensatory behavior and mitigate the negative effect of pollution by investing more on their children. I quantitatively demonstrate that certain policies, such as a reduction in pollution levels or income transfers to families, can remediate the negative impact of childhood exposure to pollution on adult outcomes.
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This dissertation consists of three essays on public good provision.
The first chapter develops a model of charity’s choice of fundraising method under two dimensions of asymmetric information, quality and purpose. The main implication is a separating equilibrium where higher-quality charities…
This dissertation consists of three essays on public good provision.
The first chapter develops a model of charity’s choice of fundraising method under two dimensions of asymmetric information, quality and purpose. The main implication is a separating equilibrium where higher-quality charities choose to distinguish themselves by using a traditional fundraising method, while lower-quality ones exploit a low-stakes, take-it- or leave-it, ``checkout’’ method. An empirical application reinforced that charities of lower quality are more likely to adopt the checkout method. Despite this, consumers still choose to give in the equilibrium, due to the small requested amount of checkout donations, which disincentivizes serious thinking. Although exploited by lower-quality charities, the checkout method, along with purpose uncertainty, has the potential to alleviate the free-riding problem associated with public good provision and is, therefore, welfare improving.
The second chapter studies why corporations donate to charities and
how their donations affect social welfare. I propose that firms make donations out of an image reason. In a model where two firms compete with each other, charitable donation could attract consumers and also signal firm overall social responsibility. I show that there exists an equilibrium where the high responsibility firm overdonates,
resulting in a donation level closer to the socially optimal
one. This leads to higher consumer welfare due to higher private good
consumption as well as higher public good consumption when overdonation is prominent. Overall social welfare is enhanced. Empirical results support social image as an incentive for firms to donate.
The third chapter examines people's marginal willingness to pay for a change in local public good provision. We use a fixed effects hedonic model with MSA level data to study the effect of crime on local housing price. We explore the 1990s crime drop and use abortion data in 1970s and 1980s as an instrumental variable based on \citet*{donohue2001impact}. One result we find is that a decrease in murder of 100 cases per 10,000 people increases housing price by 70\%. We further translate this result into a value of a statistical case of homicide, which is around 0.4 million in 1999 dollars.
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Theory suggests that human behavior has implications for disease spread. We examine the hypothesis that individuals engage in voluntary defensive behavior during an epidemic. We estimate the number of passengers missing previously purchased flights as a function of concern for…
Theory suggests that human behavior has implications for disease spread. We examine the hypothesis that individuals engage in voluntary defensive behavior during an epidemic. We estimate the number of passengers missing previously purchased flights as a function of concern for swine flu or A/H1N1 influenza using 1.7 million detailed flight records, Google Trends, and the World Health Organization's FluNet data. We estimate that concern over “swine flu,” as measured by Google Trends, accounted for 0.34% of missed flights during the epidemic. The Google Trends data correlates strongly with media attention, but poorly (at times negatively) with reported cases in FluNet. Passengers show no response to reported cases. Passengers skipping their purchased trips forwent at least $50 M in travel related benefits. Responding to actual cases would have cut this estimate in half. Thus, people appear to respond to an epidemic by voluntarily engaging in self-protection behavior, but this behavior may not be responsive to objective measures of risk. Clearer risk communication could substantially reduce epidemic costs. People undertaking costly risk reduction behavior, for example, forgoing nonrefundable flights, suggests they may also make less costly behavior adjustments to avoid infection. Accounting for defensive behaviors may be important for forecasting epidemics, but linking behavior with epidemics likely requires consideration of risk communication.
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This article develops welfare-consistent measures of the employment effects of environmental regulation. Our analysis is based on a microeconomic model of how households with heterogeneous preferences and skills decide where to live and work. We use the model to examine…
This article develops welfare-consistent measures of the employment effects of environmental regulation. Our analysis is based on a microeconomic model of how households with heterogeneous preferences and skills decide where to live and work. We use the model to examine how job loss and unemployment would affect workers in Northern California. Our stylized simulations produce earnings losses that are consistent with empirical evidence. They also produce two new insights. First, we find that earnings losses are sensitive to business cycle conditions. Second, we find that earnings losses may substantially understate welfare losses once we account for the fact that workers may have to commute further or live in a less desirable community after losing a job.
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Mathematical epidemiology, one of the oldest and richest areas in mathematical biology, has significantly enhanced our understanding of how pathogens emerge, evolve, and spread. Classical epidemiological models, the standard for predicting and managing the spread of infectious disease, assume that…
Mathematical epidemiology, one of the oldest and richest areas in mathematical biology, has significantly enhanced our understanding of how pathogens emerge, evolve, and spread. Classical epidemiological models, the standard for predicting and managing the spread of infectious disease, assume that contacts between susceptible and infectious individuals depend on their relative frequency in the population. The behavioral factors that underpin contact rates are not generally addressed. There is, however, an emerging a class of models that addresses the feedbacks between infectious disease dynamics and the behavioral decisions driving host contact. Referred to as “economic epidemiology” or “epidemiological economics,” the approach explores the determinants of decisions about the number and type of contacts made by individuals, using insights and methods from economics. We show how the approach has the potential both to improve predictions of the course of infectious disease, and to support development of novel approaches to infectious disease management.
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This article develops a welfare theoretic framework for interpreting evidence on the impacts of public programs on housing markets. We extend Rosen's hedonic model to explain how housing prices capitalize exogenous shocks to public goods and externalities. The model predicts…
This article develops a welfare theoretic framework for interpreting evidence on the impacts of public programs on housing markets. We extend Rosen's hedonic model to explain how housing prices capitalize exogenous shocks to public goods and externalities. The model predicts that trading between heterogeneous buyers and sellers will drive a wedge between these “capitalization effects” and welfare changes. We test this hypothesis in the context of changes in measures of school quality in five metropolitan areas. Results from boundary discontinuity designs suggest that capitalization effects understate parents’ willingness to pay for public school improvements by as much as 75%.
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