Целью работы является исследование повышения эффективности труда сотрудников промышленного предприятия с учетом влияния когнитивных искажений. Для этого был разработан методический подход, в основу которого положен учет когнитивных искажений, включающий в себя классификацию групп рабочих по уровню когнитивных искажений и эффективности труда, а также комплекс мероприятий, направленных на нивелирование влияния когнитивных искажений, что позволит снизить воздействие когнитивных искажений и достигнуть более высоких показателей эффективности труда на промышленном предприятии. / The aim of the work is to study the improvement of the labor efficiency of employees of an industrial enterprise, taking into account the influence of cognitive distortions. For this purpose, a methodical approach was developed, which is based on the account of cognitive distortions, including the classification of groups of workers by the level of cognitive distortions and labor efficiency, as well as a set of measures aimed at leveling the influence of cognitive distortions, which will reduce the impact of cognitive distortions and achieve higher labor efficiency indicators at an industrial enterprise.

This dissertation employ applied microeconomics techniques with a specific emphasis on behavioral dynamics within the realms of energy and environmental economics. In Chapter one, we investigates the impact of outdoor temperature on productivity in the service sector, using data from the India Human Development Survey. Our findings suggest a precisely estimated zero effect on interview duration, ruling out significant productivity impacts. In Chapter two, we employs a conditional demand analysis on a Canadian electricity consumer data set, highlighting the effectiveness of local heat pumps and thermostat setbacks for electricity savings. Results also reveal trends favoring newer homes in electricity consumption decline. In Chapter three, I study the causal relationship of spatial peer effects from Canada's largest home energy efficiency retrofit program on energy consumption. My results show that close neighbors to energy efficiency retrofitted homes experience a significant reduction in monthly natural gas and electricity consumption. Moreover, visible retrofits, such as windows and doors, significantly impact peer energy savings compared to less visible retrofits.

The industrial revolution was the start of increasing technological advancements that are continuing to grow today. Technology improves accuracy, efficiency and is more productive in comparison to human labor as it does not require breaks and cannot violate any labor laws. With many innovations available today, firms have more options to choose from and can select the relatively cheaper solution. The push for a fifteen-dollar minimum wage affects the firm's options, and the use of technology might increasingly become the more viable choice. This study took data from the years 1993 to 2016 and created two regressions using the unemployment rate and job automation rate as the dependent variables. The independent variables looked at were the year, the population growth rate, the minimum wage, inflation, the gross domestic product growth rate, and the consumer price index. After normality checks and transformations were done two regressions were run, and the models were studied to determine the effects. Both regressions were found to be valid with f-statistics lower than one percent. All the statistically significant variables were retained in the model, and the insignificant variables were omitted to reproduce the regression and check for accuracy. The models with the lower Akaike's information criterion and Bayesian information criterion values were kept and used as the final models. Overall the regressions found that the year and consumer price index had the most substantial effects on the unemployment rate, and the consumer price index had the strongest effect on the automation rate. Limitations on the study include the data available, a possible lag in the effect of the minimum wage, and the possible inaccuracy in using industrial robot installation as a measure for job automation.

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Dashiell Hammett's The Maltese Falcon and Red Harvest are examples of iconic hard-boiled detective literature that reflect on the anxieties and tensions of the 1930s-1940s. With the Great Depression looming over these decades, the genre uses the hard-boiled detective as a way to communicate with and understand this time period. In our analysis of game theory, we look at how Dashiell Hammett's characters make decisions based on the actions of other players in the game, illustrating the influences of bargaining power and manipulation. With characters that oftentimes find themselves in situations where they must collude to reach maximum utility, the novels explore the various ways in which one player takes advantage of another, almost always leading towards the detective's best payoff. Game theory provides us with a unique method to looking at literature, hard-boiled fiction particularly, as a reflection of the historical period of its conception and prime.

While previous studies have investigated country-of-origin effect from various angles, it remained unexplored the extent to which Country of Origin Labeling (COOL) affects U.S. beef imports from specific countries. Using choice-experiment data, willingness to pay (WTP) for Australian, Canadian beef in addition to other enhancement attributes were estimated with a Mixed Logit Model and a Latent Class Model. The results revealed unobserved taste heterogeneity and important differences in the WTP between the imported and domestic steak. The Latent Class Model estimated the range of discount needed for consumers to switch from U.S. to Canadian steak was a range from $1.09 to $35.12 per pound. Results from the Mixed Logit Model reiterated strong domestic preference. Significant positive WTP for BSE-tested, traceable, and tenderness-assured beef were also observed. In addition, perceived risk theory was utilized to explain the difference in WTP for domestic and imported beef. The psychometric method proposed in Pennings et al. (2002) were adopted, which disentangled perceived risk into risk perception and risk attitude. Using a mixed logit model with error component specification, the result revealed a strong link between risk perception and risk attitude towards consumer choice of country-of-origin labeled beef. Specifically, we found that perceived risk factors have a stronger impact on imported beef than domestic beef, which could partially explain consumers’ aversion towards imported beef. Lastly, the perceived risk framework was expanded to explain variation in the WTP for traceable and BSE-tested beef. The results indicated significant and non-linear impact from risk attitude and risk perception to WTP for the attributes. In addition, BSE-concern, and perceived level of control agribusiness has on food safety significantly influenced WTP for traceable and BSE-tested beef.

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Ce manuscrit comporte trois essais qui partagent l’objectif commun d’évaluer l’impact de la confiance en soi sur les décisions des agents économiques à l’aide de la méthode expérimentale. Ce travail se concentre sur trois thèmes relatifs à l’économie comportementale du travail : le travail au noir, la recherche d’emploi et le travail en équipe. Le premier chapitre analyse les biais d’optimisme dans le contexte du travail irrégulier. Ce travail fournit une mesure des biais d’optimisme à travers un processus de décision. Les résultats montrent que les modalités d’annonce du contrôle altèrent la perception du risque : la désignation du nombre d’agents aléatoirement contrôlés tend à encourager l’optimisme des fraudeurs. Le second chapitre étudie comment l’incertitude quant à l’habileté et l’estime que les demandeurs d’emploi ont d’eux-mêmes affectent leurs décisions de recherche. Les résultats montrent qu’en moyenne les agents peu habiles ne modifient pas leur salaire de réserve, alors que les sujets très habiles tendent à diminuer leurs exigences salariales et donc à stopper plus rapidement leur recherche. Cependant, les décisions des agents peu habiles ne sont pas homogènes : les agents peu compétents ont des exigences salariales d’autant plus élevées qu’ils ont une haute estime d’eux-mêmes. Le troisième chapitre vise à évaluer dans quelle mesure l’image que les travailleurs ont d’eux-mêmes conditionne leur choix d’effort lorsqu’ils travaillent en groupe. Les résultats montrent que les agents qui sur évaluent (sous-évaluent) leur habileté exercent plus (moins) d’effort que les sujets qui ont une perception correcte de leurs compétences. Les résultats révèlent également que les individus bénéficient de la sur-confiance de leur partenaire, mais pas de leur propre biais, alors que la sous-confiance détériore le bien-être de tous les membres de l’équipe. / This dissertation contains three essays that estimate the effects of self-confidence on economic agents’ decisions. An experimental approach is used for those contributions. This work is interested in three topics concerning behavioral labor economics: moonlighting, job search and teamwork. The first chapter investigates the existence of optimism biases in the context of irregular work. This essay proposes a measure of optimism biases through a decision process. The results show that the way the monitoring policy is announced deeply affects the perception of the risk at stake: the designation of the number of randomly controlled agents tends to foster the cheats’ optimism. The second chapter studies how the uncertainty on ability and self-esteem of job-seekers affect their search behaviors. The results show that on average the low ability agents’ decisions are not affected by the uncertainty about their ability, whereas the high ability agents tend to decrease their reservation wage and thus to stop their search faster. However, the low ability agents’ decisions are not homogeneous: the higher the worker’s self-esteem is, the higher his reservation wage is. The third chapter aims at estimating how workers’ self-image biases affect effort choices and team production. The results show that the workers who overestimate (underestimate) their ability provide higher (lower) effort levels than the unbiased. The results also reveal that the agents benefit from their partner’s confidence, but not from their own bias. Conversely, the presence of underconfident agents in the team damages the welfare of both teammates.

A comprehensive literature review was undertaken in order to define and assess the sustainability and resiliency characteristics associated with grass-based and confinement dairy farming. Primarily as a result of reduced input costs, grass-based dairy farming often enhances profitability over confinement systems, especially on small farms. Further, conversion of tilled soil to permanent pasture has been shown to significantly reduce harmful sediment and nutrient transport into waterways. Perennial forage also acts as a carbon sink, curtailing or even negating a grass-based farm's carbon footprint. Finally, social benefits derived from enhanced nutrition and higher quality of life are also associated with grass-based dairy farming. Given that policy goals of the State of Vermont include both bolstering farm viability and reducing farm-related runoff, two questions are then raised. What is the most effective way to incentivize the adoption of rotational grazing in Vermont? And what types of farms are best suited to its use? A series of interviews with dairy experts and farmers was conducted as a preliminary investigation into these questions. This qualitative evidence suggested that farmers generally adopted grass-based dairying after observing a peer's success with the method, suggesting that a key leverage point may be peer-based learning. A behavioral economics game was developed to evaluate the role of peer networks in facilitating decision-making under conditions of uncertainty. A computerized game platform simulated networks of small dairy farm enterprises, with participants acting as farm managers. Treatments varied the size of peer networks, as well as the inclusion of a perfectly-performing automated 'seed player.' Participants could base their decisions upon the successes of their peers. They received a cash incentive based on their farms' performance. Results indicated that players with higher numbers of peers made better economic decisions on average. The inclusion of a 'seed player' within a network, which modeled the ideal behavior, also facilitated better decision-making. Both of these correlations were statistically significant. Furthermore, the shape of the 'diffusion curve' of new adoptees confirmed literature on the dynamics of innovation diffusion. Public policy implications from this work include an increased focus on facilitating peer-to-peer learning among farmers where Best Management Practice adoption is a policy goal. To further evaluate the potential for peer learning to facilitate positive change, the Dairy Farm Transitions Agent Based Model (DFTABM) was developed. The model was calibrated using existing datasets along with the qualitative and quantitative results described above. It forecasts effects on farm profitability, attrition, and soil loss arising from varying assumptions about peer network connectivity, peer emulation, macroeconomic trends, and agri-environmental policy. Nine experimental treatments were assessed. Overall, it was found that high rates of emulation coupled with high rates of connectivity'especially targeted connectivity among smaller farms'yielded the best balance of farm viability and reduction in soil loss. The establishment of a performance-based tax credit had no clear correlation with the resulting soil loss figures predicted by the model. Policy implications from this study include the finding that direct payment schemes for reduction in environmental harm may not always have their intended effects, whereas policies that enhance peer-to-peer learning opportunities, especially among the proprietors of smaller farms, may present an effective and relatively affordable means by which to bolster farm profitability while also reducing environmental degradation.

Esta tese realiza um estudo a respeito da confiança do investidor estrangeiro no Brasil, identificando teórica e empiricamente os aspectos jurídicos elementares à sua formação. A pesquisa tem como intuito analisar o papel do Direito tanto na geração quanto na proteção à confiança nutrida pelos investidores no País. Faz-se assim um percurso teórico que discute os pressupostos relacionados à racionalidade do homem econômico, sendo apresentadas algumas linhas críticas do paradigma de escolha racional. Dentre tais linhas, a Economia Comportamental é escolhida como opção metodológica do trabalho por fornecer uma visão alternativa para o estudo de tomada de decisão. Assim, com base no programa pesquisa Heuristics and Biases (H&B), fundado por Daniel Kahneman e Amos Tversky, avalia-se o processo de formação da confiança no Brasil. A revisão de literatura interdisciplinar busca fornecer alicerce teórico para o estudo empreendido, ao explorar a dificuldade e a abstração do conceito. A tese, no campo jurídico, (i) contrapõe as noções de confiança e boa-fé, (ii) discute como se dá a tutela da confiança pelo Direito brasileiro e (iii) destaca aspectos da regulação dos investimentos estrangeiros capazes de tutelar ou promover a confiança. A pesquisa empírica realizada ao final do trabalho aplica o H&B à análise do Direito, destacando as variáveis jurídicas consideradas essenciais à confiança do investidor no Brasil e analisando dissonâncias cognitivas a este respeito entre residentes e não residentes. / This thesis investigates foreign investors trust in Brazil, aiming at identifying theoretically and empirically its elementary aspects. It also intends to analyze the role played by Law at the creation and preservation of investors trust. From a theoretical standpoint, it discusses the rationality assumptions attributed to the economic man and reports alternative approaches for decision making other than rational choice. The work applies Behavioral Economics methodology, more specifically the Heuristics and Biases program, founded by Daniel Kahneman and Amos Tversky. The thesis also reviews interdisciplinary literature on trust, exploring the elusiveness of its concept. In addition, from a legal research perspective, it (i) compares the notions of trust and good-faith; (ii) discusses the legal grounds for trust protection under local law and (iii) points out regulatory mechanisms deemed capable of protecting or promoting trust. The empirical research presented at the end of the thesis illustrates how H&B may be applied to the analysis of Law, by assessing its role at promoting investors trust as well as assessing cognitive dissonances found among resident and non residents.