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.

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)

Background: Tooth loss has a negative impact on patients’ general health and wellbeing. Dental prostheses can restore oral function, aesthetics and improve oral health related quality of life. Preferences for dental prostheses cannot be fully captured using existing clinical studies and questionnaires. Discrete choice experiment (DCE) is a novel method in health economics to elicit people’s preference for treatments and it allows the researcher to integrate all aspects relevant to treatment into evaluation and measurement of interrelationship between factors. The aim of this PhD thesis is to use a mixed method of DCE and qualitative interviews to analyse dentists and patient’s preferences for dental prosthesis choices in replacing missing teeth. Methods: Discrete choice experiment questionnaires were developed, describing dental prosthdontic treatments in multi-dimensions, including outcome, process and economic factors. Survey and analysis using the questionnaires were conducted with dentists and patients in Edinburgh. Qualitative interviews with Edinburgh dentists and patients were carried out to derive factors to aid the DCE questionnaire design and provide in-depth understanding of DCE results. Systematic reviews were performed to summarise existing evidence on prosthesis evaluation in traditional quantitative studies and perception of prostheses in qualitative interviews. The current application of DCEs in dentistry was also systematically reviewed. Results: Treatment longevity was identified as the most important factor for dentists and patients’ treatment decisions of anterior missing tooth replacements, followed by appearance and chewing function. Dentists put more value on fixation/comfort and treatment procedure than patients. Patients cared about cost of treatment whereas dentists were relatively insensitive. Gender, age and treatment experience significantly influenced patients’ preference for treatment characteristics. Dental implant supported crown was preferred by dentists, whereas patients gave higher utility to traditional prosthodontic treatments. The monetary benefit of fixed dental prostheses ranged from £1856 -£3848 for patients, far exceeding their willingness-to-pay (WTP), which was £120 - £240. Dentists were willing to pay £600-£3000, more than the perceived benefit £503 to £1649. Qualitative study identified the above factors and provided interpretation of DCE results. Problems in the dental care system related to referral and training for dental implant treatments were raised. Discussion: This thesis is the first DCE application in dentistry evaluating and comparing dentists and patients preferences for missing tooth replacements. Dentists and patients’ preferences were elicited qualitatively and qualitatively integrating multidimensional factors. Patients’ preference for treatments, monetary benefit and WTP were demonstrated to be different from dentists’. Treatment benefits exceeded patients WTP for fixed dental prostheses.

Recent interest in identifying and measuring health outcomes represents an advance in our understanding of how health care for individuals should be evaluated. However, the concept of health outcomes has mainly focussed on improvements in health status. Non-health outcomes of health care may also be important to patients. In this thesis, four tasks were undertaken with the aim of identifying non-health outcomes and establishing the extent of their relevance and importance to patients. First, the illness experience literature was reviewed to identify potential non-health outcomes. Seven categories of non-health outcomes were identified: information, being treated with dignity, being able to trust the health care provider, having distress recognised and supported, participating in decision making, legitimation and reassurance. Second, to gain an in-depth understanding of these concepts, topic-specific literature was reviewed and synthesised. Third, in order to confirm how relevant and important the concepts were to patients, a qualitative study was conducted with each of two different groups of health service users. Broadly, patients considered that all the non-health concepts were relevant, although the extent to which they were important varied. Fourth, to test the relative importance of the seven concepts, a Stated Preference Discrete Choice experiment in the context of general practice was conducted. This study showed that most people thought their GP demonstrated behaviour likely to result in the production of non-health outcomes. The results showed that although all the non-health outcomes were, to some extent, preferred by respondents, trust was most important, followed by legitimation and recognition of and support for emotional distress. Once again, these results point to the importance of context in the evaluation of health care from the patient's perspective. While still being perceived as positive aspects of health care, the provision of information and acting autonomously or participating in decisions about their health care were the non-health outcomes considered least important by patients

Innovation diffusion models have been studied extensively to forecast and explain the adoption process for new products or services. These models are often formulated using one of two approaches: The first, and most common is a macro-level approach that aggregates much of the market behaviour. An advantage of this method is that forecasts and other analyses may be performed with the necessity of estimating few parameters. The second is a micro-level approach that aims to utilize microeconomic information pertaining to the potential market and the innovation. The advantage of this methodology is that analyses allow for a direct understanding of how potential customers view the innovation. Nevertheless, when individuals are making adoption decisions, the reality of the situation is that the process consists of at least two stages: First, a potential adopter must become aware of the innovation; and second the aware individual must decide to adopt. Researchers, have studied multi-stage diffusion processes in the past, however a majority of these works employ a macro-level approach to model market flows. As a result, a direct understanding of how individuals value the innovation is lacking, making it impossible to utilize this information to model realistic word-of-mouth behaviour and other network dynamics. Thus, we propose a two-stage integrated model that utilizes the benefits of both the macro- and micro-level approaches. In the first stage, potential customers become aware of the innovation, which requires no decision making by the individual. As a result, we employ a macro-level diffusion process to describe the first stage. However, in the second stage potential customers decide whether to adopt the innovation or not, and we utilize a micro-level methodology to model this. We further extend the application to include forward looking behaviour, heterogeneous adopters and segmented Bayesian learning, and utilize the adopter's satisfaction levels to describe biasing and word-of-mouth behaviour. We apply the proposed model to Canadian colour-TV data, and cross-validation results suggest that the new model has excellent predictive capabilities. We also apply the two-stage model to early U.S. hybrid-electric vehicle data and results provide insightful managerial observations.