<p> </p> <p>This dissertation consists of three essays that examine the response of small businesses to disruptions in their environment. The first two essays focused on small non-farm businesses in the United States and how they deal with natural disasters. The last essay examined smallholder farm households in Malawi, and how their household labor allocation decisions are affected by land allocation to estates in their communities. The individual essays are summarized as follows:</p> <p>Essay 1: <em>A Conditional Process Approach to Understanding the Role of Adjustment Strategies and Disaster Experience in Racial Disparities in Small Business Performance. </em>Considering that most minority owned businesses have limited access to formal systems, this essay explored how race could indirectly affect business performance (measured as percentage revenue growth) through the adoption of three informal strategies: customer base expansion, supplier base expansion and family adjustment strategies. It also explored whether these indirect effects are moderated by experience with natural disaster. The results showed that being a racial minority was positively associated with revenue growth such that on average, minority business owners experienced 29% higher revenue growth than white-owned businesses (p<0.05) on business performance. It also showed a modest indirect effect of race on revenue growth through each mediating strategy (p<0.5). However, the results did not support a moderating role for disaster experience. </p> <p>Essay 2: <em>Willingness to Pay for Comprehensive Cyclone Insurance Coverage by Small Business Owners: Evidence from the Coastal States of the United States</em>. Small businesses in the coastal United States are usually uninsured or underinsured for cyclone events. The underinsuring of these businesses could be a result of limited insurance coverage as well as individual characteristics of small business owners. Using a discrete choice experiment, this essay used a hypothetical comprehensive cyclone insurance to understand what insurance attributes are important to small business owners. It also examined the role of previous disaster experience, charity hazard as well as temporal orientation on the willingness to pay for the disaster insurance. This study used a discrete choice experiment to elicit insurance preferences from small coastal businesses which employed less than 100 employees. A mixed logit model was used to analyze the data. The results showed that business owners exhibited positive marginal utilities from policies that covered flood, windstorm, and business interruption regardless of the combination. Notably, the mixed logit model showed that on average, business owners were willing to pay up to 450%, 472%, and 482% more than their total monthly business insurance premium payment for insurance that covers flood and business interruption, windstorm and business interruption, and flood, windstorm and business interruption respectively. Ordinary Least Squares (OLS) regression showed that respondents who had previously experienced cyclones were more willing to pay for the presented insurance policies than those who have not. Future orientation was also found to be positively associated with the marginal willingness to pay for the insurance policies.</p> <p>Essay 3: <em>Estates and Small-Holder Agricultural Labor Dynamics in Sub-Saharan Africa:</em> <em>A Case Study of Malawi. </em>Estates are larger than the average farm holdings, which mostly grow one crop, require large capital investment, are centrally managed and rely a lot on hired labor. With such large investments in agricultural land, the labor decisions of smallholder households in Africa will likely be altered. This essay therefore examined the role of estate farms on smallholders’ allocation of labor between on-farm, and off-farm demand and supply of casual labor using the <em>ganyu</em> system of Malawi as a case-study. Using the Malawi Integrated Household Panel survey covering the years 2010, 2013, 2016, and 2019, we estimated the effect of estates on the participation of smallholders on these labor decisions as well as the number of days spent in each activity. We also investigated the effect of these estates on community agricultural labor (<em>ganyu) </em>wage rates and the share of income accruable to ganyu and crop production. Linear probability (LPM), as well as tobit-correlated random effects (CRE) regressions were used to test these effects. Both models showed that the share of estates had a negative correlation with <em>ganyu </em>demand. The Tobit CRE regression showed that on average a 1% increase in the percentage share of agricultural land occupied by estates was associated with a modest 0.04% (p<0.01) decrease in the number of days <em>ganyu </em>labor was demanded, and a 0.02% increase in the number of days household members spent on their own farms. Further results showed that households in communities with higher shares of estates participated in less non-crop farming activities especially wage employment. We also found that the negative relationship between estates and <em>ganyu </em>demand was accentuated among households with higher levels of assets, and farm income. Finally, we found a modest negative relationship between share of estates and community <em>ganyu </em>wage rates </p>

Shared mobility is considered a more sustainable alternative to private modes. Nonetheless, its sudden and sometimes “out of control” emergence poses issues that need to be addressed. Lack of regulations and public space mismanagement cause sidewalks and city roads to be overcrowded with shared vehicles (especially in the case of micromobility). This causes nuisance and safety concerns and hinders the societal benefits shared mobility may provide. Shared mobility hubs have the potential to address these issues. The research was carried out within the context of the SmartHubs project, an EIT Urban Mobility project initiated in 2021 by a diverse consortium of 7 cities, companies, and universities to develop and validate effective and economically viable mobility hub solutions. This degree project aims to improve the Decision-Support-Tool (DST) developed by SmartHubs to identify locations of shared-mobility hubs having high potential in driving sustainable travel usage. To achieve that, the thesis proposes a methodology for determining smart hub locations and their corresponding utilities based on the combination of GIS cluster analysis of free-floating shared mobility parking patterns and a stated-preference study. The potential hub locations were determined from the cluster analysis of free-floating trip characteristics. Using the stated preference survey data, the thesis develops a model to estimate the probability of parking at the hub as a function of explanatory variables, including walking distance, reward policies and the parking situation. The model testing results showed that the proposed methodology can well predict the hub (usage) demand and improve the current DST originally developed in the SmartHubs project.

My dissertation consists of three essays on labor supply responses, along the extensive margin (participation into the labor force) and along the intensive margin (intensity of work on the job). The first two essays focus on the labor supply responsiveness of single women with children to taxation and welfare programs. The third essay investigates the effects of marriage, the wage rate, and the associated tax rate on men's labor supply. In the first essay, to avoid bias from the fact that labor supply outcomes are being driven by self-selection, I build a dynamic stochastic discrete choice model to investigate the long run effects of the earned income tax credit and welfare policies on single mothers' labor supply. Simulated method of moments is used to estimate parameters of this dynamic model, based on March CPS data files from 1964 to 2013. I compare the performance of the dynamic stochastic discrete choice model, a static model, and a reduced-form model. My analysis concludes that the dynamic stochastic discrete choice model captures the simultaneous impact of the state variables on the predicted employment decision. My study provides evidence of the long-run positive effect of public policy on low income families in a life-cycle setting. This essay also emphasizes the importance of education in increasing single mothers' labor supply. The second essay is designed to identify factors that help single mothers leave TANF within a short span of time. I find strong evidence for the importance of child support assistance to single mothers' success in exiting TANF with a job. I uncover evidence that work-related activities do not induce TANF participants to leave within a short span of time. My analysis also suggests that health issues significantly limit the ability of single mothers to exit TANF. In the third essay, the main research question is how marital status affects the elasticity of the labor supply of males with respect to wages and taxes, in a life-cycle setting. A dynamic panel data model, which extends the literature on dynamic labor supply, indicates that the elasticity of men's labor supply with respect to wages and taxes is affected by marital status. The empirical results using the Panel Study of Income Dynamics (PSID) data show that men who are continuously married to the same wife have a lower average Frisch elasticity than others. / Ph. D.

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PREFACE: The purpose of this Master’s thesis was to determine which attributes of an early intervention (EI) mental health service would encourage treatment initiation and sustained engagement. This research was motivated by the bourgeoning interest in patient-centered care, particularly the incorporation of patient preferences into service design and implementation. Additionally, the research was inspired by the use of marketing research methodology in healthcare. Two conjoint surveys were formulated with the purpose of asking two questions: what EI service attributes will increase the likelihood of someone (1) initiating contact with an EI service and attending their first appointment, and (2) remaining engaged in treatment. A literature search determined which attributes would be the most relevant and important for conceptualizing an EI service. These attributes were narrowed down with the help of focus groups, key informant interviews, the expertise of the authors, and in the case of the second survey, was also informed by the first survey’s results. Each attribute was assigned four levels and these multi-level attributes were formulated into the two aforementioned surveys that were completed by mental health patients, their families, and mental health professionals. Chapter 1 of this thesis contains a short overview of the research literature investigating the benefits of EI services, some of the reasons why many patients may not receive such services, and some potential strategies to enhance patients’ initial contact and ongoing engagement with such services. In particular, the central tenet of this thesis is that patient engagement with EI services will be enhanced if service design considers and incorporates the preferences of patients and their families with regard to the attributes that characterize the service and its delivery. This hypothesis is explored using discrete choice conjoint experimental (DCE) methods to identify important service attributes regarding patient initiation and engagement. Given that DCEs are the central methodology of this thesis, Chapter 1 also includes an introduction to these methods and their unique benefits. Each of these service attribute questions posed above is addressed in a separate survey and experiment. Therefore, the rationale, methods, results and conclusions of each experiment are described in separate chapters (Chapters 2 & 3). It should be noted that these two chapters are written in the form of stand-alone scientific reports, each of which is about to be submitted for publication to peer-reviewed journals. Finally, the thesis concludes with a General Discussion (Chapter 4), which attempts to frame the two studies, and this line of inquiry more generally, in the broader research literature and highlight their clinical and policy implications. It should also be noted that, given that there exists substantial conceptual overlap between the two experiments and the main issues described in both the General Introduction and General Discussion, the reader may encounter some repetition throughout the thesis. / Mental illness places a large burden on individuals and society-at-large, a problem that becomes much worse the longer it is left untreated. Early intervention (EI) can mitigate this burden; however, those experiencing emerging mental illnesses often do not seek help promptly. Patient-centered care, such as shared-decision making models of mental healthcare, may reduce barriers to treatment. A central tenet of patient-centered care is that patient engagement and service utilization increases when patient preferences are incorporated into clinical services. In the current thesis, discrete choice conjoint experiments (DCE) were used to elicit the preferences of patients and their families, as well as the hypothesized preferences of patients according to mental health professionals, in two surveys. The first survey aimed to identify the attributes of an EI service that would encourage people experiencing psychiatric symptoms to initiate contact with a service and attend their first appointment (Chapter 2). The second survey sought to determine which service attributes would encourage someone to remain engaged with mental health treatment (Chapter 3). Both surveys used Latent Class Analysis to segment the study populations into identifiable subgroups based on shared preferences, and Randomized First Choice simulations to predict which service delivery model each of these identified groups would most likely use. The results of these studies have several implications for current and future mental health services. Effective EI mental health services should include rapid access to services, a range of treatment options, and effective crisis response. Moreover, future DCE studies should focus on replicating these results using more heterogeneous samples and improving DCE methods. / Thesis / Master of Science (MSc)

The purpose of this thesis is to investigate how the differences between the study and policy sites impact the performance of benefit function transfer. For this purpose, simulated data are created where all information necessary to conduct the benefit function transfer is available. We consider the six cases of difference between the study and policy sites- scale parameter, substitution possibilities, observable characteristics, population preferences, measurement error in variables, and a case of preference heterogeneity at the study site and fixed preferences at the policy site. These cases of difference were considered one at time and their impact on quality of transfer is investigated. RUM model based on reveled preference was used for this analysis. Function estimated at the study site is transferred to the policy site and willingness to pay for five different cases of policy changes are calculated at the study site. The willingness to pay so calculated is compared with true willingness to pay to evaluate the performance of benefit function transfer. When the study and policy site are different only in terms of scale parameter, equality of estimated and true expected WTP is not rejected for 89.7% or more when the sample size is 1000. Similarly, equality of estimated preference coefficients and true preference coefficients is not rejected for 88.8% or more. In this study, we find that benefit transfer performs better only in one direction. When the function is estimated at lower scale and transferred to the policy site with higher scale, the transfer error is less in magnitude than those which are estimated at higher scale and transferred to the policy site with lower scale. This study also finds that transfer error is less when the function from the study site having more site substitutes is transferred to the policy site having less site substitutes whenever there is difference in site substitution possibilities. Transfer error is magnified when measurement error is involved in any of the variables. This study do not suggest function transfer whenever the study site's model is missing one of the important variable at the policy site or whenever the data on variables included in study site's model is not available at the policy site for benefit transfer application. This study also suggests the use of large representative sample with sufficient variation to minimize transfer error in benefit transfer. / Master of Science

The thesis explores whether Swedish consumers value outerwear sold with an included repair service with the motive of supporting the transition towards a more sustainable fashion industry. In addition, to foster sustainable consumption and production patterns which align with the United Nations Sustainable Development Goals. This study is further associated with the EU Ecodesign for Sustainable Products Regulation and the upcoming EU regulation concerning the Extended Producer Responsibility. A mixed-method approach is used for the methodological framework. Qualitative semi-structured interviews are used as a pre-study to explore attributes and levels for the main quantitative Discrete Choice Experiment survey study. The Discrete Choice Experiment method integrates with the theoretical framework through the application of the Willingness to Pay estimates. A convenient sampling method, in combination with a snowball sampling method, is applied. The findings from the survey show implications for educated young urban women, a group with significant environmental impacts due to their clothing consumption. The 129 respondents showed a stated Willingness to Pay of an additional 35.6% or 562.30 SEK for outerwear with an included repair service. The calculations are based on the average price 1579.60 SEK the respondents in the survey pay for outerwear. The findings show that longer waiting times decrease the amount of money the respondents want to pay for the service. The stated Willingness to Pay decreases to 31.1% or 491.30 SEK with one week of waiting time. The creation of new jobs and a reduction of environmental impacts in production increase the stated Willingness to Pay. The findings show that outerwear sold with an included repair service could increase the frequency of repairs, extend the user phase of outerwear, and reduce the consumption of new outerwear.

[pt] Os mercados de carbono oferecem uma promissora abordagem para enfrentar as mudanças climáticas. No entanto, seu avanço encontra desafios, especialmente na medição precisa da redução de emissões provenientes de atividades relacionadas à floresta. Este artigo apresenta um modelo dinâmico de escolha discreta adaptado para avaliar tais emissões, utilizando uma nova base de dados de dados em painel sobre o uso da terra em propriedades privadas, contendo suas características e participação em projetos de carbono. Nossa análise revela que aproximadamente 23 por cento dos estoques de carbono dentro de projetos de carbono florestal em propriedades privadas na Amazônia brasileira não têm exposição a riscos de desmatamento e, portanto, não devem ser negociados como créditos de carbono. Através de cenários simulados, demonstramos que maiores preços de carbono ou menores custos de participação nesses projetos poderiam aumentar substancialmente a oferta de emissões de carbono evitadas. Intervenções como redução de custos, subsídios de preço ou melhoras regulatorias poderiam recrudescer a oferta e contribuir para os esforços de mitigação das mudanças climáticas. Por fim, identificamos propriedades adequadas para participação futura em projetos, com o objetivo de mitigar os riscos de investimento e otimizar os retornos esperados. / [en] Carbon markets offer a promising avenue for tackling climate change, yet their advancement encounters challenges, notably in accurately measuring emissions avoidance from forest-related activities. This paper introduces a dynamic discrete choice model tailored for assessing such emissions, using a novel database of panel data on private property land use, characteristics, and carbon project participation. Our analysis reveals that approximately 23 percent of carbon stocks within forestry carbon projects on private properties in the Brazilian Amazon lack exposure to deforestation risks and should therefore not be tradable as carbon credits. Through simulated scenarios, we demonstrate that elevated carbon prices or reduced participation costs in these projects could substantially augment the supply of avoided carbon emissions. Interventions such as cost reductions, price subsidies or regulatory improvements could bolster supply and contribute to climate change mitigation efforts. Lastly, we identify suitable properties for future project participation, aiming to mitigate investment risks and optimize expected returns.

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