Estimates of the economic impact generated by tourism events can vary greatly depending on the methodologies used to conduct an analysis. This professional report will attempt to establish a standardized methodology for estimating the economic impact created by demand shocks to the economy resulting from event generated tourism visitation and spending with the final deliverable being a state-level input-output model for Texas. A review of state-level input-output models created for Michigan and Georgia in addition to a hypothetical scenario based on the 1996 Atlanta Olympics will illustrate the importance of assumptions in input-output analysis and lead to a discussion regarding some elements of hosting an event and increasing tourism that cannot be captured through this method. The report concludes by briefly examining considerations that should be made before applying the Texas model, the potential for future improvements, and finally the viability of recruiting events as an economic development strategy. / text

“Rural electrification” is a key element in the global energy development agenda. While being a developing country, Sri Lanka is enroot to achieve 100% of electrification at present. After the civil war ended in 2009 which lasted for more than 25 years, there has been much focus to fulfill the energy needs of the country. But the studies carried out to assess the impact of electrification are very much limited. This study focuses on meeting the gap of carrying out a scenario analysis of rural electrification and assessing the socio economic impact of electrification. The major focus has been given to see how energy system of a newly electrified village will vary over time. The research intends to identify how far the strategies used to implement a policy is realistic in the real world. Also the research extends to apply the proposed strategies to the energy model and analyze the behavior of the model. During the study a survey was carried out in a rural village in southern part of Sri Lanka and the data obtained were used to model the energy system of the village using a software called - LEAP (Long Range Energy Alternative Planning System). The energy system is simulated under different scenarios to analyze if certain strategies in the policy have been implemented in the village. Two scenarios were energy efficient lighting and energy efficient cooking stoves. A total energy balance has been carried out for the target sample with an analysis of global warming potential of the activities of the target family. The total energy consumption variation with the electrification and the percentage of energy consumed as electricity over time has been analyzed. Further the socio economic impacts of electrification have been studied. The impact of agricultural usage and economic productivity with electricity has been studied. The qualitative measures like attitude changes, modernization & technology adaptation were addressed to the extent possible.

White-tailed deer (Odocoileus virginianus) are an important ecological, social, and economic resource in Mississippi. Studies have been conducted on expenditures by white-tailed deer hunters, but none have administered a research-based, economic impact assessment for white-tailed deer in Mississippi. The economic impacts and associated values of white-tailed deer in Mississippi through a selfministered mail questionnaire were examined to collect white-tailed deer hunter expenditure data during the 2003/2004 hunting season. Expenditures of white-tailed deer hunters were obtained from a mail survey (N = 1,257, 38.6% response rate) and were used in an input-output model to determine economic impacts for the State. Economic impacts generated from white-tailed deer hunting expenditures totaled $951.1 million for the 2003/2004 white-tailed deer hunting season. The value added component of the economic impact totaled $686.7 million and supported 43,964 full- and part-time jobs.

Natural disasters have always been and probably always will be a problem for humans and their settlements. With global warming seemingly increasing the frequency and strength of the climate related disasters, and more and more people being settled in urban centers, the ability to model and predict damage is more important than ever.The aim of this thesis has been to model and analyze a broad range of disaster types and the kind of impact that they have. By modeling damage indices for disaster types as different as hurricanes and volcanic eruptions, the thesis helps with understanding both similarities and differences between how disasters work and what impact they have on societies experiencing them. The thesis comprises four different chapters in addition to this introduction, where all of them include modeling of one or more types of natural disasters and their impact on real world scenarios such as local budgets, birth rates and economic growth.Chapter 2 is titled “Natural Disaster Damage Indices Based on Remotely Sensed Data: An Application to Indonesia". The objective was to construct damage indices through remotely sensed and freely available data. In short, the methodology exploits that one can use nightlight data as a proxy for economic activity. Then the nightlights data is matched with remote sensing data typically used for natural hazard modeling. The data is then used to construct damage indices at the district level for Indonesia, for different disaster events such as floods, earthquakes, volcanic eruptions and the 2004 Christmas Tsunami. The chapter is forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017a).Chapter 3 utilizes the indices from Chapter 2 to showcase a potential area of use for them. The title is “The Reallocation of District-Level Spending and Natural Disasters: Evidence from Indonesia" and the focus is on Indonesian district-level budgets. The aim was to use the modeled intensity from Chapter 2 to a real world scenario that could affect policy makers. The results show that there is evidence that some disaster types cause districts to move costs away from more general line items to areas such as health and infrastructure, which are likely to experience added pressure due to disasters. Furthermore, volcanic eruptions and the tsunami led to less investment into more durable assets both for the year of the disaster and the following year. This chapter is also forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017b).The fourth chapter, titled “Urban Global Impact of Earthquakes from 2004 through 2013", is a short chapter focusing on earthquake damage and economic growth. This chapter is an expansion of the index used in the previous two chapters, where we use global data instead of focusing on a single country. Using a comprehensive remotely sensed dataset of contour mapsof global earthquakes from 2004 through 2013 and utilizing global nightlights as an economic proxy we model economic impact in the year of the quakes and the year after. Overall, it is shown that earthquakes negatively impact local urban light emissions by 0.7 percent.Chapter 5 is named “A Whirlwind Romance: The Effect of Hurricanes on Fertility in Early 20th Century Jamaica" and deviates from the prior chapters in that it is a historical chapter that looks at birth rates in the early 1900s. The goal was to use the complete and long-term birth database for Jamaica and match this with hurricane data to check fertility rates. We create a hurricane destruction index derived from a wind speed model that we combine with data on more than 1 million births across different parishes in Jamaica. Analyzing the birth rate following damaging hurricanes, we find that there is a strong and significant negative effect of hurricane destruction on the number of births. / Natural disasters have always been and probably always will be a problem for humans and their settlements. With global warming seemingly increasing the frequency and strength of the climate related disasters, and more and more people being settled in urban centers, the ability to model and predict damage is more important than ever.The aim of this thesis has been to model and analyze a broad range of disaster types and the kind of impact that they have. By modeling damage indices for disaster types as different as hurricanes and volcanic eruptions, the thesis helps with understanding both similarities and differences between how disasters work and what impact they have on societies experiencing them. The thesis comprises four different chapters in addition to this introduction, where all of them include modeling of one or more types of natural disasters and their impact on real world scenarios such as local budgets, birth rates and economic growth.Chapter 2 is titled “Natural Disaster Damage Indices Based on Remotely Sensed Data: An Application to Indonesia". The objective was to construct damage indices through remotely sensed and freely available data. In short, the methodology exploits that one can use nightlight data as a proxy for economic activity. Then the nightlights data is matched with remote sensing data typically used for natural hazard modeling. The data is then used to construct damage indices at the district level for Indonesia, for different disaster events such as floods, earthquakes, volcanic eruptions and the 2004 Christmas Tsunami. The chapter is forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017a).Chapter 3 utilizes the indices from Chapter 2 to showcase a potential area of use for them. The title is “The Reallocation of District-Level Spending and Natural Disasters: Evidence from Indonesia" and the focus is on Indonesian district-level budgets. The aim was to use the modeled intensity from Chapter 2 to a real world scenario that could affect policy makers. The results show that there is evidence that some disaster types cause districts to move costs away from more general line items to areas such as health and infrastructure, which are likely to experience added pressure due to disasters. Furthermore, volcanic eruptions and the tsunami led to less investment into more durable assets both for the year of the disaster and the following year. This chapter is also forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017b).The fourth chapter, titled “Urban Global Impact of Earthquakes from 2004 through 2013", is a short chapter focusing on earthquake damage and economic growth. This chapter is an expansion of the index used in the previous two chapters, where we use global data instead of focusing on a single country. Using a comprehensive remotely sensed dataset of contour mapsof global earthquakes from 2004 through 2013 and utilizing global nightlights as an economic proxy we model economic impact in the year of the quakes and the year after. Overall, it is shown that earthquakes negatively impact local urban light emissions by 0.7 percent.Chapter 5 is named “A Whirlwind Romance: The Effect of Hurricanes on Fertility in Early 20th Century Jamaica" and deviates from the prior chapters in that it is a historical chapter that looks at birth rates in the early 1900s. The goal was to use the complete and long-term birth database for Jamaica and match this with hurricane data to check fertility rates. We create a hurricane destruction index derived from a wind speed model that we combine with data on more than 1 million births across different parishes in Jamaica. Analyzing the birth rate following damaging hurricanes, we find that there is a strong and significant negative effect of hurricane destruction on the number of births.

Master of Science / Department of Agricultural Economics / Ted C. Schroeder / The livestock industry is susceptible to several diseases, of which Foot and Mouth Disease (FMD) is one. FMD is neither a fatal nor zoonotic animal disease, but most animals less than one year of age are killed in about 80% of cases. FMD also causes reductions in yield and milk production. FMD is recognized as an economic disease because any outbreak will lead to a drastic reduction in the export market. This study is centered on livestock production in mid-western United States. The study incorporated the result from an epidemiology model into an equilibrium displacement model; this is used to determine the economic impact of the FMD outbreak on both consumers and producers. Three vaccination-to-die scenarios were simulated. Each scenario had 200 disease spread simulation runs. The economic impact results were presented with normal distribution curves in order to see how the economic impacts were distributed across the 200 runs in each scenario. Scenario 14 with 50 and 80 herds vaccination capacity at 22 and 40 days respectively, coupled with 50 km vaccination zone has the lowest negative impact on both consumer and producers. The diseases lasted for shorter period of time in scenario 14 than scenarios 2 and 12. Scenario 14 also has least number of animals killed. It can be concluded from the equilibrium displacement outcomes that the best mitigation strategy for the control of FMD is to have a large vaccination zone area, and increment in the vaccination capacity will also curb the disease on time.

Thesis advisor: Christopher F. Baum / This paper seeks to estimate the impacts generated from the Salt Lake City 2002 Winter Olympic Games. Using a data set representing 76 metropolitan statistical areas in the western United States, and later 31 metropolitan statistical areas in Utah and its bordering neighbors, I construct an Arellano-Bond dynamic panel data regression that seeks to model metropolitan employment growth had the Olympics never taken place. With this logic I apply the Arellano- Bond regression to real personal income and real average wages, in a vector autoregression framework, estimating gains to those variables over a reasonable timeframe. The predictions from these variables are then compared to actual figures in which a picture of the economic impact of the 2002 Games is generated. Using out of sample predictions I estimate Salt Lake City's Olympic impact in employment is roughly between 20,487 and 36,150 job-years, between $ 381 and $ 2,470 to real per-capita personal income, and a decrease of $ 273 to $ 2004 in real average wages. / Thesis (BA) — Boston College, 2006. / Submitted to: Boston College. College of Arts and Sciences. / Discipline: Economics Honors Program.

HIV/AIDS is a global pandemic with critical demographic, economic, and social implications. The pandemic is widespread in poor regions of the world, including Southeast Asia where its long-term effects are potentially catastrophic. Despite the major impacts of the epidemic being already felt at the household level in many countries, a lack of recognition of the socioeconomic determinants of HIV infection and the economic and social impacts of HIV/AIDS and their relationship with poverty persists. This is due in part to the lack of systematic studies at the household, community, sectoral, and macro levels. The thesis describes a 'vicious circle' between HIV/AIDS, poverty and high-risk behaviour at the individual level. In the poverty-HIV/AIDS cycle, HIV-infected individuals are especially vulnerable to poverty, the poor are more likely to engage in high-risk behaviour such as commercial sex work, and high-risk behaviour in turn makes people susceptible to HIV infection. The thesis examines whether rural Northeast Thailand exhibits characteristics that support the existence of such a cycle. Four key relationships are considered and tested: (i) the relationship between previous HIV infection and current wealth or poverty; (ii) the relationship betweem wealth or poverty and HIV/AIDS knowledge; (iii) the relationship between previous wealth or poverty and current HIV infection; and (iv) the relationship between previous migration and current HIV infection. All four relationships are shown to hold using survey data from Khon Kaen province in Northeast Thailand. Poverty is shown to increase susceptibility to HIV infection, and HIV/AIDS is shown to reduce wealth and hence increase poverty. Under the circumstances, the hypothesis that rural Northeast Thailand exhibits characteristics that would suggest the existence of a poverty-HIV/AIDS cycle cannot be rejected. This thesis also provides several key contributions to the literature on HIV/AIDS and poverty. First, it provides quantitative and qualitative empirical analysis of the impacts of HIV/AIDS on households in a moderately affected region of Thailand. Second, it provides empirical analysis both on whether wealth and poverty affect the risk of HIV infection, and whether HIV infection affects wealth and poverty. The results from this thesis also provide significant empirical evidence of the importance of rural-urban migration in the spread of HIV in Asia. Finally, the thesis investigates the potential effects on the poverty-HIV/AIDS cycle of an ongoing socio-economic intervention, namely breaking the poverty-HIV/AIDS cycle via intensive rural development.

Although recent brownfields redevelopment research using theories of real estate valuation and neighborhood change have indicated negative effects on surrounding residential housing, little evidence exists to show price impacts and sociodemographic change after remediation. This study examines the extent and size of the economic impact of Superfund sites on surrounding single-family residential properties before and after remediation in Miami-Dade County and examines trends for contemporaneous sociodemographic changes. The study combines the economic impact from changes in environmental quality with contemporaneous sociodemographic changes within the purview of environmental and social justice. This study uses spatial hedonic price modeling on a comprehensive dataset of property-level data, with corresponding sales prices of housing transactions while controlling for other structural, neighborhood, and submarkets characteristics for assessing economic impact. Findings revealed that housing sales prices for single-family residential properties significantly increases as distance to the nearest contaminated Superfund increases. Following remediation, this negative impact declined and housing values increased significantly in neighborhoods with remedied Superfund sites albeit more so in low housing submarkets than premium submarkets. Spatial hedonic models outperformed traditional OLS models in presenting unbiased efficient parameter estimates, correcting for spatial dependence. Although no evidence for gentrification was observed, there existed significant differences between certain sociodemographic characteristics of neighborhoods around contaminated Superfund sites and those of properties located elsewhere leading to concerns of environmental and social justice. Findings suggest that low-income minority populations are more likely to be living in neighborhoods around contaminated Superfund sites and experience a greater negative effect on housing sales prices; these sites are also less likely to be remedied as compared to sites located elsewhere. The findings highlight not only the revealed preferences of homeowners with respect to environmental disamenities, but also help inform policymakers and researchers of the impact of brownfields redevelopment on economic and sociodemographic characteristics of a growing urban region with evolving cultural and social diversity. Incorporating influences of housing submarkets, neighborhood amenities, and spatial dependence help provide a holistic and comprehensive model for examining environmental disamenities and provide a better understanding for neighborhood change.

Objectives: 1. To determine the proportion of people reporting time loss from work, school, or normal activities due to oral health issues. 2. To determine how much time is being lost. 3. To establish predictors of this time loss. 4. To determine the productivity losses. Methods: Data from the Canadian Health Measures Survey (2007-2009) were used. Linear and logistic regressions were employed to determine which variables were predictive of hours lost and reporting time loss. Productivity losses were determined using the lost wages approach. Results: Time loss is more likely among privately insured, high income earners. Experiencing oral pain is the best predictor of reporting time loss. Productivity losses are comparable to those of some musculoskeletal conditions. Conclusions: Participants with higher incomes report time loss more frequently while the total amount of time lost is greatest for those with the lowest incomes. Productivity losses are substantial at the societal level.

Objectives: 1. To determine the proportion of people reporting time loss from work, school, or normal activities due to oral health issues. 2. To determine how much time is being lost. 3. To establish predictors of this time loss. 4. To determine the productivity losses. Methods: Data from the Canadian Health Measures Survey (2007-2009) were used. Linear and logistic regressions were employed to determine which variables were predictive of hours lost and reporting time loss. Productivity losses were determined using the lost wages approach. Results: Time loss is more likely among privately insured, high income earners. Experiencing oral pain is the best predictor of reporting time loss. Productivity losses are comparable to those of some musculoskeletal conditions. Conclusions: Participants with higher incomes report time loss more frequently while the total amount of time lost is greatest for those with the lowest incomes. Productivity losses are substantial at the societal level.