Divergences in the Long Run Trends in the Price of Energy and of Energy Services

32 p.

Environmental Concerns in Water Pricing Policy: an Application of Data Envelopment Analysis (DEA)

25 p.

Evaluating the Role of Energy Efficiency Labels: the Case of Dish Washers

27 p.

Market Instruments and CO2 Mitigation: A General Equilibrium Analysis for Spain

25 p.

Economic Assessment of Forest Ecosystem Services Losses: Cost of Policy Inaction

52 p.

Efficient methods for empirical tests of behavioral economics theories in laboratory and field experiments

In the quest for a descriptive theory of decision-making, the rational actor model in economics imposes rather unrealistic expectations and abilities on human decision makers. The further we move from idealized scenarios, such as perfectly competitive markets, and ambitiously extend the reach of the theory to describe everyday decision making situations, the less sense these assumptions make. Behavioural economics has instead proposed models based on assumptions that are more psychologically realistic, with the aim of gaining more precision and descriptive power. Increased psychological realism, however, comes at the cost of a greater number of parameters and model complexity. Now there are a plethora of models, based on different assumptions, applicable in differing contextual settings, and selecting the right model to use tends to be an ad-hoc process. In this thesis, we develop optimal experimental design methods and evaluate different behavioral theories against evidence from lab and field experiments.

We look at evidence from controlled laboratory experiments. Subjects are presented with choices between monetary gambles or lotteries. Different decision-making theories evaluate the choices differently and would make distinct predictions about the subjects' choices. Theories whose predictions are inconsistent with the actual choices can be systematically eliminated. Behavioural theories can have multiple parameters requiring complex experimental designs with a very large number of possible choice tests. This imposes computational and economic constraints on using classical experimental design methods. We develop a methodology of adaptive tests: Bayesian Rapid Optimal Adaptive Designs (BROAD) that sequentially chooses the "most informative" test at each stage, and based on the response updates its posterior beliefs over the theories, which informs the next most informative test to run. BROAD utilizes the Equivalent Class Edge Cutting (EC²) criteria to select tests. We prove that the EC² criteria is adaptively submodular, which allows us to prove theoretical guarantees against the Bayes-optimal testing sequence even in the presence of noisy responses. In simulated ground-truth experiments, we find that the EC² criteria recovers the true hypotheses with significantly fewer tests than more widely used criteria such as Information Gain and Generalized Binary Search. We show, theoretically as well as experimentally, that surprisingly these popular criteria can perform poorly in the presence of noise, or subject errors. Furthermore, we use the adaptive submodular property of EC² to implement an accelerated greedy version of BROAD which leads to orders of magnitude speedup over other methods.

We use BROAD to perform two experiments. First, we compare the main classes of theories for decision-making under risk, namely: expected value, prospect theory, constant relative risk aversion (CRRA) and moments models. Subjects are given an initial endowment, and sequentially presented choices between two lotteries, with the possibility of losses. The lotteries are selected using BROAD, and 57 subjects from Caltech and UCLA are incentivized by randomly realizing one of the lotteries chosen. Aggregate posterior probabilities over the theories show limited evidence in favour of CRRA and moments' models. Classifying the subjects into types showed that most subjects are described by prospect theory, followed by expected value. Adaptive experimental design raises the possibility that subjects could engage in strategic manipulation, i.e. subjects could mask their true preferences and choose differently in order to obtain more favourable tests in later rounds thereby increasing their payoffs. We pay close attention to this problem; strategic manipulation is ruled out since it is infeasible in practice, and also since we do not find any signatures of it in our data.

In the second experiment, we compare the main theories of time preference: exponential discounting, hyperbolic discounting, "present bias" models: quasi-hyperbolic (α, β) discounting and fixed cost discounting, and generalized-hyperbolic discounting. 40 subjects from UCLA were given choices between 2 options: a smaller but more immediate payoff versus a larger but later payoff. We found very limited evidence for present bias models and hyperbolic discounting, and most subjects were classified as generalized hyperbolic discounting types, followed by exponential discounting.

In these models the passage of time is linear. We instead consider a psychological model where the perception of time is subjective. We prove that when the biological (subjective) time is positively dependent, it gives rise to hyperbolic discounting and temporal choice inconsistency.

We also test the predictions of behavioral theories in the "wild". We pay attention to prospect theory, which emerged as the dominant theory in our lab experiments of risky choice. Loss aversion and reference dependence predicts that consumers will behave in a uniquely distinct way than the standard rational model predicts. Specifically, loss aversion predicts that when an item is being offered at a discount, the demand for it will be greater than that explained by its price elasticity. Even more importantly, when the item is no longer discounted, demand for its close substitute would increase excessively. We tested this prediction using a discrete choice model with loss-averse utility function on data from a large eCommerce retailer. Not only did we identify loss aversion, but we also found that the effect decreased with consumers' experience. We outline the policy implications that consumer loss aversion entails, and strategies for competitive pricing.

In future work, BROAD can be widely applicable for testing different behavioural models, e.g. in social preference and game theory, and in different contextual settings. Additional measurements beyond choice data, including biological measurements such as skin conductance, can be used to more rapidly eliminate hypothesis and speed up model comparison. Discrete choice models also provide a framework for testing behavioural models with field data, and encourage combined lab-field experiments.

International Climate Finance and its Influence on Fairness and Policy

27 p.

The Private Provision of International Impure Public Goods: the Case of Climate Policy

33 p.

The Role of Regions in Climate Change Policy

28 p.

Trends in Income and Price Elasticities of Transport Demand (1850-2010)

40 p.

A dynamic CGE modelling approach for analyzing trade-offs in climate change policy options: the case of Green Climate Fund

38 p.

Optimal procurement and contracting with research and development

Government procurement of a new good or service is a process that usually includes basic research, development, and production. Empirical evidences indicate that investments in research and development (R and D) before production are significant in many defense procurements. Thus, optimal procurement policy should not be only to select the most efficient producer, but also to induce the contractors to design the best product and to develop the best technology. It is difficult to apply the current economic theory of optimal procurement and contracting, which has emphasized production, but ignored R and D, to many cases of procurement.

In this thesis, I provide basic models of both R and D and production in the procurement process where a number of firms invest in private R and D and compete for a government contract. R and D is modeled as a stochastic cost-reduction process. The government is considered both as a profit-maximizer and a procurement cost minimizer. In comparison to the literature, the following results derived from my models are significant. First, R and D matters in procurement contracting. When offering the optimal contract the government will be better off if it correctly takes into account costly private R and D investment. Second, competition matters. The optimal contract and the total equilibrium R and D expenditures vary with the number of firms. The government usually does not prefer infinite competition among firms. Instead, it prefers free entry of firms. Third, under a R and D technology with the constant marginal returns-to-scale, it is socially optimal to have only one firm to conduct all of the R and D and production. Fourth, in an independent private values environment with risk-neutral firms, an informed government should select one of four standard auction procedures with an appropriate announced reserve price, acting as if it does not have any private information.

The use of freshwater science in policy development

This article explores the diversity of scientific disciplines and paradigms, their relevance for policy development, how policy emerges throughout society,-and the mechanisms by which scientists can promote the value of science in policy formation. The author gives examples from various countries where freshwater science was used to inform policy.

Impactos concorrenciais da entrada dos medicamentos genéricos no mercado farmacêutico brasileiro de 2003 a 2007

Em 1999, o mercado de medicamentos genéricos foi criado no Brasil. Com isso, iniciou-se uma nova fase do mercado farmacêutico brasileiro. Através de dados cedidos pela ANVISA sobre o mercado varejista brasileiro, objetivou-se testar em até que ponto a política de medicamentos genéricos tem logrado êxito. Foram utilizados dados em painel para analisar o impacto da entrada dos medicamentos genéricos sobre a estrutura do mercado, assim como o impacto nos preços e na quantidade vendida entre 2003 e 2007. Os resultados foram favoráveis à diminuição da concentração dos mercados relevantes da amostragem e também ao aumento da quantidade comercializada. Em relação aos preços, o modelo se mostrou pouco significativo, provavelmente pela política de medicamentos genéricos ser um instrumento indireto de controle de preços. De qualquer forma, os resultados encontrados parecem sugerir o bom andamento da política de medicamentos genéricos, o que é um alívio em se tratando de um mercado tão essencial para o bem-estar da população.

O papel dos grupos de interesse no "trade policy making" brasileiro: o caso das negociações Brasil-Argentina para o setor automotivo

Desde a redemocratização do país em 1985 o MRE já vinha se posicionando à favor do diálogo com os mais diversos grupos e entidades sociais. Neste sentido, observou-se ao longo dos últimos anos um aprofundamento da interação com parlamentares, governos estaduais e municipais, empresários, sindicalistas, ONGs e imprensa. A construção de vínculos entre as organizações da sociedade civil críticas das negociações comerciais ao longo da década de 1990 permite falar na criação de um novo campo de ação coletiva transnacional, definido como um espaço de ação política formado por indivíduos e organizações da sociedade civil que participam do processo de elaboração de um conjunto comum de práticas, objetivos e crenças. O que se pode concluir é que diante de um contexto mais competitivo e globalizado, após processo de abertura comercial e intensificação da participação brasileira nas negociações internacionais, a representação dos interesses da classe empresarial teve que se adaptar criando uma nova forma de organização. Desse modo, o presente trabalho visa analisar a crescente interferência de grupos de interesse no processo de tomada de decisão, no que tange aos assuntos de política externa comercial brasileira, tais como as negociações comerciais internacionais por se tratar de um ambiente cujos interesses da classe empresarial mais podem ser afetados. As negociações comerciais internacionais é o ambiente em que a atuação empresarial mais pode ser percebida. As negociações do Mercosul e da ALCA possibilitam observar a participação ativa destes novos atores. Sendo assim, o trabalho apresenta a nova dinâmica de relacionamento entre Estado e grupos da sociedade civil (classe empresarial) para temas ligados a comércio exterior.