Food quality attributes arising from farming methods are important to many Canadians. The credence nature of these quality attributes necessitates some form of quality assurance for accurate signalling to consumers. This thesis examines the appropriate role for private, third party, and government actors in credible quality assurance systems for production-derived attributes. Concurrently, it explores the nature of trust that Canadians put in various organizations for quality assurance. In a nationwide survey, Canadian consumers obtained significant benefits from government verification of pesticide free and environmentally sustainable grains contained in pre-packaged sliced bread. The data was collected using a discrete choice experiment. Farmers, third party, and government organizations were similarly trusted for accurate information about farming methods. The dimensions of this trust varied across organizations. Government standards relating to environmental sustainability were perceived as most effective. Results obtained using a latent class multinomial logit model showed that respondents who most valued production-derived food quality also received the greatest benefit from government verification and significant negative utility from supermarket or third party verification. In relative terms, the difference in utility between third party and government verification represents 141% of the value of the environmentally sustainable attribute and 87% of the pesticide free attribute. The results suggest that significant consumer benefit can be achieved if government were to take a leading role in quality assurance for production-derived quality.

Food quality attributes arising from farming methods are important to many Canadians. The credence nature of these quality attributes necessitates some form of quality assurance for accurate signalling to consumers. This thesis examines the appropriate role for private, third party, and government actors in credible quality assurance systems for production-derived attributes. Concurrently, it explores the nature of trust that Canadians put in various organizations for quality assurance. In a nationwide survey, Canadian consumers obtained significant benefits from government verification of pesticide free and environmentally sustainable grains contained in pre-packaged sliced bread. The data was collected using a discrete choice experiment. Farmers, third party, and government organizations were similarly trusted for accurate information about farming methods. The dimensions of this trust varied across organizations. Government standards relating to environmental sustainability were perceived as most effective. Results obtained using a latent class multinomial logit model showed that respondents who most valued production-derived food quality also received the greatest benefit from government verification and significant negative utility from supermarket or third party verification. In relative terms, the difference in utility between third party and government verification represents 141% of the value of the environmentally sustainable attribute and 87% of the pesticide free attribute. The results suggest that significant consumer benefit can be achieved if government were to take a leading role in quality assurance for production-derived quality.

Managers have responsibility for implementing a firm??s executional strategy. An executional strategy is the selection of resources and capabilities and the arrangement of them into a supply chain that puts a firm??s espoused positioning into action (Porter, 1985). Executional strategies are selected to maximize economic rents. Firm resources (Barney, 1991) and the arrangement of supply chains (Chandler, 1962; 1990) are important to rent generation. In turn, the potential arrangement of activities into a supply chain is determined by a firm??s depth of architectural knowledge; this is knowledge of how supply chain elements can be linked (Henderson and Clark, 1990). The study provides a simultaneous test of the impact of resources and supply chain arrangements on the selection of executional strategies. The theoretical model is tested through a discrete choice experiment (Louviere et al., 2000). Findings suggest that resources and cost advantages dominate management decision-making with competition also an influence. Importantly, findings for a sub-sample of subjects whose firms are most impacted by Information technology (IT), confirms that architectural knowledge does play a role in the selection of executional strategies. These ??engaged?? subjects were significantly more experienced with the subject matter and more confident about their responses. These engaged subjects utilized architectural knowledge to select strategies that leveraged their resources more widely and to minimize the influence of transaction costs on their strategic choices.

I syftet att undersöka hur en skatte- och bidragsreform kan tänkas påverka utbudet av arbetskraft för ungdomar, modelleras en Discrete Choice nyttofunktion, där valet av antalet arbetstimmar begränsas till fem olika arbetstimmarsklasser. Modellen tar hänsyn till icke-linjära skatter och icke-konvexa budgetkurvor. I nyttomaximeringen tas även hänsyn till valet av socialbidrag. För att se effekten på ungdomarnas arbetstimmar används mikrosimuleringsmodellen FASIT som innehåller databaser över inkomster, skatte- och transfereringssystem. Finans- och Socialdepartementen använder modellen för att se reformers eventuella effekter på specifika grupper i samhället. Skattereformen innebär en höjning av grundavdraget och bidragsreformen en sänkning av socialbidraget. Syftet med reformerna är att öka inkomstdifferensen mellan att inte arbeta och att arbeta och därmed öka incitamenten till att vilja arbeta för ungdomar. För att kunna motivera en sådan reform, ska den inte försämra statens finanser, utan helst vara självfinansierad. Resultaten visar att en skatte- och bidragsreform av detta slag inte ökar ungdomarnas arbetstimmar signifikant. Däremot kommer användandet av socialbidrag minska med över 90 %, även om inte många ungdomar levde på socialbidrag innan reformen. För staten innebär en sådan här reform att både skatteinkomsterna minskar, p.g.a. grundavdragshöjningen och bidragsutgifterna minskar, till följd av mindre socialbidragsutbetalningar. Däremot, kommer inkomsterna att minska mer än utgifterna, så det blir svårt att berättiga reformen. / With the purpose of examining how a tax- and social assistance reform would affect the labor supply for Swedish youth, a Discrete Choice utility function is utilized, where the choice of working hours is restricted to five different sets of working hours. This model takes nonlinear taxes and nonconvex budget constraints into consideration and in the utility maximization the youth has to keep the choice of accepting the social assistance in mind. The effect on youth working hours is simulated in a micro simulation model, FASIT, which contains databases on Swedish incomes, taxes- and subsidies systems and is mostly used by the Swedish Ministry of Finance in order to investigate policy reforms’ affect on different groups in society. The tax reform implies an increase of the basic deduction and the subsidy reform implies a decrease of the amount of social assistance. The purpose of the reforms is to increase the income gap between not working and working and thereby increase the incentives of being willing to work. To be able to justify a reform like this, it must not be too expensive for the government, but preferably it should be self-financed. The results show that the reforms will not increase the working hours of the youth significantly. But at the same time the reform decreases the need of social assistance with over 90 %, although not a large part of the youth supported themselves through social assistance before the reform. For the government the reform will result in a decrease in tax revenues and a decrease in the subsidy cost. The problem is that the revenues will decrease much more than the costs; therefore the reform is difficult to justify.

<p>I syftet att undersöka hur en skatte- och bidragsreform kan tänkas påverka utbudet av arbetskraft för ungdomar, modelleras en Discrete Choice nyttofunktion, där valet av antalet arbetstimmar begränsas till fem olika arbetstimmarsklasser. Modellen tar hänsyn till icke-linjära skatter och icke-konvexa budgetkurvor. I nyttomaximeringen tas även hänsyn till valet av socialbidrag. För att se effekten på ungdomarnas arbetstimmar används mikrosimuleringsmodellen FASIT som innehåller databaser över inkomster, skatte- och transfereringssystem. Finans- och Socialdepartementen använder modellen för att se reformers eventuella effekter på specifika grupper i samhället.</p><p>Skattereformen innebär en höjning av grundavdraget och bidragsreformen en sänkning av socialbidraget. Syftet med reformerna är att öka inkomstdifferensen mellan att inte arbeta och att arbeta och därmed öka incitamenten till att vilja arbeta för ungdomar. För att kunna motivera en sådan reform, ska den inte försämra statens finanser, utan helst vara självfinansierad.</p><p>Resultaten visar att en skatte- och bidragsreform av detta slag inte ökar ungdomarnas arbetstimmar signifikant. Däremot kommer användandet av socialbidrag minska med över 90 %, även om inte många ungdomar levde på socialbidrag innan reformen. För staten innebär en sådan här reform att både skatteinkomsterna minskar, p.g.a. grundavdragshöjningen och bidragsutgifterna minskar, till följd av mindre socialbidragsutbetalningar. Däremot, kommer inkomsterna att minska mer än utgifterna, så det blir svårt att berättiga reformen.</p> / <p>With the purpose of examining how a tax- and social assistance reform would affect the labor supply for Swedish youth, a Discrete Choice utility function is utilized, where the choice of working hours is restricted to five different sets of working hours. This model takes nonlinear taxes and nonconvex budget constraints into consideration and in the utility maximization the youth has to keep the choice of accepting the social assistance in mind. The effect on youth working hours is simulated in a micro simulation model, FASIT, which contains databases on Swedish incomes, taxes- and subsidies systems and is mostly used by the Swedish Ministry of Finance in order to investigate policy reforms’ affect on different groups in society.</p><p>The tax reform implies an increase of the basic deduction and the subsidy reform implies a decrease of the amount of social assistance. The purpose of the reforms is to increase the income gap between not working and working and thereby increase the incentives of being willing to work. To be able to justify a reform like this, it must not be too expensive for the government, but preferably it should be self-financed.</p><p>The results show that the reforms will not increase the working hours of the youth significantly. But at the same time the reform decreases the need of social assistance with over 90 %, although not a large part of the youth supported themselves through social assistance before the reform. For the government the reform will result in a decrease in tax revenues and a decrease in the subsidy cost. The problem is that the revenues will decrease much more than the costs; therefore the reform is difficult to justify.</p>

This dissertation consists of three essays in labor economics. The first essay models how migrants crossing the border between the United States and Mexico respond to increases in border enforcement. We model a potential migrants' joint decision of whether to cross the border and, if so, where to cross the border using a random utility function. Our model allows us to calculate the migrants' substitution patterns: does more enforcement primarily on one part of the border primarily deter migrants from crossing the border altogether, or simply divert them to other parts of the border? We find that a substantial proportion of migrants are indeed diverted. These findings should serve as a caveat to policy makers who seek to address immigration reform issues primarily through tightening the border.The second chapter models the internal migration decisions of U.S. households during the period 935 to 1940. We measure the impact of spending on New Deal programs on migration patterns. Using a model of random utility similar to that in prior chapter, we find that more public works and relief spending in a region made it more attractive to potential migrants, while additional spending on the Agricultural Adjustment Administration (AAA) made the locale less attractive. The structural nature of our model allows us to compute counterfactual estimates to assess the overall impact of these programs. We find that regional disparities in spending on public works and relief programs we responsible for nearly 20% of long distance moves made between regions during this period.In the third chapter, we decompose the gap between mean sentences for males and females in the U.S. criminal justice system into the portion that can be explained by differences in the average severity of the crime committed by males and females and the portion explained by differences in how males and females who commit the same crime are treated. We find that differences in characteristics of the defendant can explain only half of the gap between mean male and females sentences, suggesting that women receive more lenient treatment in the U.S. criminal justice system.

The body of literature investigating spectator attendance in sports has developed using various forms of regression with secondary data, leading to a series of fairly consistent findings. The aggregate secondary data that has been used in these studies, which has been effective in developing this body of knowledge, is inherently limited in its ability to explain the most basic element of the attendance issue: how individual consumers choose whether or not to attend a game. The objective of this research is to provide these consumer-level insights, specifically for games in the Canadian Football League, by utilizing a discrete choice methodology. This study generates primary data from actual consumers, while incorporating many of the standard demand determinants. The results of this study show that while the quality of both participating teams are significant predictors of demand, their relative quality is not; contradicting the uncertainty of outcomes hypothesis.

Managers have responsibility for implementing a firm??s executional strategy. An executional strategy is the selection of resources and capabilities and the arrangement of them into a supply chain that puts a firm??s espoused positioning into action (Porter, 1985). Executional strategies are selected to maximize economic rents. Firm resources (Barney, 1991) and the arrangement of supply chains (Chandler, 1962; 1990) are important to rent generation. In turn, the potential arrangement of activities into a supply chain is determined by a firm??s depth of architectural knowledge; this is knowledge of how supply chain elements can be linked (Henderson and Clark, 1990). The study provides a simultaneous test of the impact of resources and supply chain arrangements on the selection of executional strategies. The theoretical model is tested through a discrete choice experiment (Louviere et al., 2000). Findings suggest that resources and cost advantages dominate management decision-making with competition also an influence. Importantly, findings for a sub-sample of subjects whose firms are most impacted by Information technology (IT), confirms that architectural knowledge does play a role in the selection of executional strategies. These ??engaged?? subjects were significantly more experienced with the subject matter and more confident about their responses. These engaged subjects utilized architectural knowledge to select strategies that leveraged their resources more widely and to minimize the influence of transaction costs on their strategic choices.

Almost everything that we do involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding of how choices are made and also to predict future choice responses. In many fields, the choices made by individuals will determine the effectiveness of policy. Understanding what drives people's choices and how these choices may change is critical for developing successful policy. Discrete choice modeling provides an analytical framework with which to analyze and predict how people's choices are influenced by their personal characteristics and by the different attributes of the alternatives available to them. In an ideal situation we would build discrete choice models using information from choices that people are observed to make, i.e., revealed preference (RP) information. From these data we can quantify the influence of particular variables in the real choice context; for example, how important is price in the decision to travel by train? There are, however, potential problems with these data. There might not be enough variation of the explanatory attributes; for example little price variation across alternatives. Furthermore, several attributes might be highly correlated e.g. price and quality. But the most important of all is the fact that it is not possible to observe choices for alternatives that do not yet exist; for example new programs and technologies. In cases where the data limits the information provided by real choices it may be appropriate to collect stated preference (SP) data, which is information on preferences provided from hypothetical choice situations. This dissertation provides several applications of discrete choice modeling using both raveled preferences and stated preference. Unlike the last two chapters which deal with the revealed preference, the first Chapter, uses stated preference data. This Chapter evaluates the impact of several attributes of monetary incentives on the decision of patients to participate in a new weight loss program. Since this program does not exist yet, revealed preference data were not available and stated preference data were collected. The attributes of interest in this study include magnitude, timing and form of payment. The goal is to see what level and what combination of these attributes provides greater impact on the reach of the program. We also account for preference heterogeneity by using a random parameter framework. Chapter 2 discusses another application of discrete choice models in event history models (also called survival analysis). In these type of models, the main goal is to use the history of happening an event to learn more about the effect of different factors on the probability of occurrence. The event of interest in our case is the birth. We use the birth history of rural women and try to model their decision to give birth over time. The ultimate goal is to evaluate the effect of health clinics and family planning program on this decision. The final Chapter considers the application of discrete choice modeling in an electoral framework. The 2005 presidential election in Iran is used to model the decisions of Iranian voters. Using this revealed preference data we try to learn more about the main factors evolved in both participation and in the candidate selection. / Ph. D.

Water, a fundamental human right, impacts human health through its quantity (i.e., physical amount and ability to access it) and quality. Consumption of poor-quality water can lead to a variety of waterborne illnesses, often manifested as diarrhoea. Millions of individuals worldwide lack access to drinking water that is free from contaminants and is available and accessible when needed. In areas where water is not piped to homes, several physical, demographic, socio-economic and health factors affect access to potable water. These factors may also influence which water point an individual fetches water (i.e. their waterpoint choice) from in the presence of multiple alternative waterpoints. Through this study, effects of various physical, health, demographic and socio-economic factors on waterpoint choice were explored. This study, based on datasets from a rural Maasai community in Kenya, implements a multinomial logit model to explore effects of various physical (travel time and water quality), health (aggregate frequency of self-reported diarrhoea stratified by age groups), demographic (average household age, household population, number of children under 5, number of women between 8-45 years of age and ratio of household population to number of women between 8-45) and socio-economic factors (education and income) on waterpoint choice. Travel time to the most probable waterpoint as predicted by the model was compared with the travel time to a household’s chosen waterpoint. Both travel times were calculated using the least-resistance path function incorporating slope and landcover. Results from model optimization showed that combinations of travel time, average household age, diarrhoea among adult women, income, education and number of women between 8-45 years were significant contributors to the three waterpoint choice models. The expected travel time to the most probable waterpoint predicted by these models and actual travel time to chosen waterpoint fit well, showing that the models explain waterpoint choice well. / Thesis / Master of Public Health (MPH)