On the efficiency of the Argentinean electricity wholesale market

This paper discusses two key aspects regarding the efficiency of the Argentinean Electricity Market. Using hourly data on prices, marginal costs, and operational status of generators, it will be argued that, unlike the former British and Californian electricity spot markets, this market is not subject to the conventional forms of exercise of market power by generators. We then use Chao's (1983) model of optimal configuation of electricity supply to evaluate the social desirability of the change in the supply pattern of the Argentinean electricity industry, which took place throughout the last ten years.

On equilibrium prices in continuous time

We combine general equilibrium theory and théorie générale of stochastic processes to derive structural results about equilibrium state prices.

Produtividade agregada brasileira (1970-2000): declínio robusto e fraca recuperação

This study explores the productivity performance of the Brazilian economy between 1970 and 1998. We assess how much of the TFP downfall can be explained by some departures from the standard procedure. We incorporate to the standard measure utilization of capacity, changes in the workweek of capital, services of capital from electricity consumption, relative prices distortions, human capital, and investment in specific technology. We conclude that the downfall in productivity is quite robust to those specifications. The only case that presents a marked difference from the standard TFP measure occurs when relative prices of capital are corrected. The implications of this finding are a topic for future research.

Relations between regulation, competition policy and consumer protection in telecommunications, electricity and water supply

The purpose of this article is to discuss the relations between regulation, competition policy and consumer protection these relations in three key sectors of Brazil’s infrastructure: telecommunications, electricity and water supply. A study of the literature points to two general principles. First, the need for consumer protection depends on the “degree of sovereignty” enjoyed by consumers, defined in terms of the cost of consumer organization, consumers’ ability to evaluate services, and the level of competition in each sector. Second, the less sovereignty consumers enjoy the more consumer protection institutions are involved with regulation agencies. The evidence for the Brazilian case apparently corroborates these points. In addition, it is important to stress that consumer complaints in regulated sectors seem to have increased more intensely than in others. The article is divided into three sections. Section 1 presents theoretical elements and aspects of the relations between regulation, competition policy and consumer protection evidenced by international experience. Section 2 analyzes the Brazilian experience and in particular the available statistics on consumer complaints about telecommunications, electricity and water supply, submitted to Fundação Procon-SP during the nineties. The last section points to possible configurations of the institutional relations between competition policy, regulation and consumer protection, showing how the existing configuration of these areas in the three infrastructure sectors discussed confirms that the theoretical framework proposed has reasonable predictive power.

Evolução do conforto doméstico no estado de S. Paulo, 1980-2002: análise quantitativa

É nítida e rápida a popularização da maioria dos bens duráveis de consumo no Estado de São Paulo, nos últimos vinte anos. Colaboram para isso a universalização da oferta domiciliar de eletricidade, água encanada, esgotos, e a tendência ao barateamento dos bens. Entre outros efeitos, tal popularização deteriora a eficácia das escalas de classificação sócio- econômica baseadas na posse de itens de conforto doméstico, suscitando freqüentes revisões e discórdias no interior da comunidade de marketing. Este estudo sistematiza estatísticas sobre situação domiciliar e posse de itens de conforto doméstico no Estado de S. Paulo, e mostra como isso afeta o consumo material e cultural. Finalmente, aponta que é chegada a hora de se usar mais e melhor variáveis como educação, profissão, qualidade do domicílio, tal como se faz em países desenvolvidos, para o entendimento mais pleno das mudanças que implantam no Brasil a moderna sociedade de consumo.

Essays on international prices and the subjacent market structure

Esta tese utiliza a informação contida em preços internacionais para identificar parâmetros de modelos de comércio sob competição imperfeita, desta forma permitindo inferência sobre o comportamento das exportações, sobre os ganhos de troca da abertura comercial e sobre a variedade de bens produzidos domesticamente. Em primeiro lugar, investigamos o repasse cambial, no longo prazo, para os preços praticados por exportadores brasileiros. O foco no longo prazo permite controlar os efeitos da rigidez de preço no curto prazo, de maneira que o repasse incompleto evidencie competição imperfeita com preços flexíveis. Em segundo lugar, calculamos os ganhos de troca de novas variedades de bens importados baseando-nos em estimativas para as elasticidades de substituição desagregadas. Finalmente, qualificamos a ênfase da literatura de comércio em ganhos de eficiência no lugar de ganhos de variedade, demonstrando que a variedade de bens produzidos domesticamente se amplia após aberturas comerciais desde que as firmas tenham uma margem de decisão em bens intermediários ou na qualificação da mão de obra.

Forecasting electricity demand using generalized long memory

This paper studies the electricity hourly load demand in the area covered by a utility situated in the southeast of Brazil. We propose a stochastic model which employs generalized long memory (by means of Gegenbauer processes) to model the seasonal behavior of the load. The model is proposed for sectional data, that is, each hour’s load is studied separately as a single series. This approach avoids modeling the intricate intra-day pattern (load profile) displayed by the load, which varies throughout days of the week and seasons. The forecasting performance of the model is compared with a SARIMA benchmark using the years of 1999 and 2000 as the out-of-sample. The model clearly outperforms the benchmark. We conclude for general long memory in the series.

Forecasting electricity load demand: analysis of the 2001 rationing period in Brazil

This paper studies the electricity load demand behavior during the 2001 rationing period, which was implemented because of the Brazilian energetic crisis. The hourly data refers to a utility situated in the southeast of the country. We use the model proposed by Soares and Souza (2003), making use of generalized long memory to model the seasonal behavior of the load. The rationing period is shown to have imposed a structural break in the series, decreasing the load at about 20%. Even so, the forecast accuracy is decreased only marginally, and the forecasts rapidly readapt to the new situation. The forecast errors from this model also permit verifying the public response to pieces of information released regarding the crisis.

Reinsurance in Brazil: what happened to prices?

Neste estudo investigamos a mudança no Brasil de um mercado fechado monopolista de resseguros para um mercado aberto. O foco tem sido sobre os prêmios, como a queda nos preços foi um dos benefícios mais antecipados da nova estrutura do mercado. Para comparar os preços de resseguro entre mercados o Índice Combinado foi usado. Ao comparar o Brasil ao Resto do Mundo, Índices Combinados significativamente menores foram observados para 2001 - 2007. No período 2008 - 2010, após a abertura, parece ter sido uma convergência dos Índices Combinados com os níveis no mundo. Confirma que os preços de resseguro eram altos no passado, e que ocorreu uma queda nos preços desde a abertura. No entanto estas conclusões devem ser tratados com alguma precaução uma vez que apenas 2,5 anos de experiência está disponível desde a abertura do mercado e outros fatores podem ter influenciado a evolução dos preços observados.

Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons

The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual horizons. The data to be used consists of metal-commodity prices in a monthly frequency from 1957 to 2012 from the International Financial Statistics of the IMF on individual metal series. We will also employ the (relatively large) list of co-variates used in Welch and Goyal (2008) and in Hong and Yogo (2009) , which are available for download. Regarding short- and long-run comovement, we will apply the techniques and the tests proposed in the common-feature literature to build parsimonious VARs, which possibly entail quasi-structural relationships between different commodity prices and/or between a given commodity price and its potential demand determinants. These parsimonious VARs will be later used as forecasting models to be combined to yield metal-commodity prices optimal forecasts. Regarding out-of-sample forecasts, we will use a variety of models (linear and non-linear, single equation and multivariate) and a variety of co-variates to forecast the returns and prices of metal commodities. With the forecasts of a large number of models (N large) and a large number of time periods (T large), we will apply the techniques put forth by the common-feature literature on forecast combinations. The main contribution of this paper is to understand the short-run dynamics of metal prices. We show theoretically that there must be a positive correlation between metal-price variation and industrial-production variation if metal supply is held fixed in the short run when demand is optimally chosen taking into account optimal production for the industrial sector. This is simply a consequence of the derived-demand model for cost-minimizing firms. Our empirical evidence fully supports this theoretical result, with overwhelming evidence that cycles in metal prices are synchronized with those in industrial production. This evidence is stronger regarding the global economy but holds as well for the U.S. economy to a lesser degree. Regarding forecasting, we show that models incorporating (short-run) commoncycle restrictions perform better than unrestricted models, with an important role for industrial production as a predictor for metal-price variation. Still, in most cases, forecast combination techniques outperform individual models.

Non-durable consumption and real-estate prices in Brazil: panel-data analysis at the state level

Housing is an important component of wealth for a typical household in many countries. The objective of this paper is to investigate the effect of real-estate price variation on welfare, trying to close a gap between the welfare literature in Brazil and that in the U.S., the U.K., and other developed countries. Our first motivation relates to the fact that real estate is probably more important here than elsewhere as a proportion of wealth, which potentially makes the impact of a price change bigger here. Our second motivation relates to the fact that real-estate prices boomed in Brazil in the last five years. Prime real estate in Rio de Janeiro and São Paulo have tripled in value in that period, and a smaller but generalized increase has been observed throughout the country. Third, we have also seen a recent consumption boom in Brazil in the last five years. Indeed, the recent rise of some of the poor to middle-income status is well documented not only for Brazil but for other emerging countries as well. Regarding consumption and real-estate prices in Brazil, one cannot imply causality from correlation, but one can do causal inference with an appropriate structural model and proper inference, or with a proper inference in a reduced-form setup. Our last motivation is related to the complete absence of studies of this kind in Brazil, which makes ours a pioneering study. We assemble a panel-data set for the determinants of non-durable consumption growth by Brazilian states, merging the techniques and ideas in Campbell and Cocco (2007) and in Case, Quigley and Shiller (2005). With appropriate controls, and panel-data methods, we investigate whether house-price variation has a positive effect on non-durable consumption. The results show a non-negligible significant impact of the change in the price of real estate on welfare consumption), although smaller then what Campbell and Cocco have found. Our findings support the view that the channel through which house prices affect consumption is a financial one.

Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons

The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual frequencies. Data consists of metal-commodity prices at a monthly and quarterly frequencies from 1957 to 2012, extracted from the IFS, and annual data, provided from 1900-2010 by the U.S. Geological Survey (USGS). We also employ the (relatively large) list of co-variates used in Welch and Goyal (2008) and in Hong and Yogo (2009). We investigate short- and long-run comovement by applying the techniques and the tests proposed in the common-feature literature. One of the main contributions of this paper is to understand the short-run dynamics of metal prices. We show theoretically that there must be a positive correlation between metal-price variation and industrial-production variation if metal supply is held fixed in the short run when demand is optimally chosen taking into account optimal production for the industrial sector. This is simply a consequence of the derived-demand model for cost-minimizing firms. Our empirical evidence fully supports this theoretical result, with overwhelming evidence that cycles in metal prices are synchronized with those in industrial production. This evidence is stronger regarding the global economy but holds as well for the U.S. economy to a lesser degree. Regarding out-of-sample forecasts, our main contribution is to show the benefits of forecast-combination techniques, which outperform individual-model forecasts - including the random-walk model. We use a variety of models (linear and non-linear, single equation and multivariate) and a variety of co-variates and functional forms to forecast the returns and prices of metal commodities. Using a large number of models (N large) and a large number of time periods (T large), we apply the techniques put forth by the common-feature literature on forecast combinations. Empirically, we show that models incorporating (short-run) common-cycle restrictions perform better than unrestricted models, with an important role for industrial production as a predictor for metal-price variation.

Ensaios em econometria aplicada

Este tese é composta por quatro ensaios sobre aplicações econométricas em tópicos econômicos relevantes. Os estudos versam sobre consumo de bens não-duráveis e preços de imóveis, capital humano e crescimento econômico, demanda residencial de energia elétrica e, por fim, periodicidade de variáveis fiscais de Estados e Municípios brasileiros. No primeiro artigo, "Non-Durable Consumption and Real-Estate Prices in Brazil: Panel-Data Analysis at the State Level", é investigada a relação entre variação do preço de imóveis e variação no consumo de bens não-duráveis. Os dados coletados permitem a formação de um painel com sete estados brasileiros observados entre 2008- 2012. Os resultados são obtidos a partir da estimação de uma forma reduzida obtida em Campbell e Cocco (2007) que aproxima um modelo estrutural. As estimativas para o caso brasileiro são inferiores as de Campbell e Cocco (2007), que, por sua vez, utilizaram microdados britânicos. O segundo artigo, "Uma medida alternativa de capital humano para o estudo empírico do crescimento", propõe uma forma de mensuração do estoque de capital humano que reflita diretamente preços de mercado, através do valor presente do fluxo de renda real futura. Os impactos dessa medida alternativa são avaliados a partir da estimação da função de produção tradicional dos modelos de crescimento neoclássico. Os dados compõem um painel de 25 países observados entre 1970 e 2010. Um exercício de robustez é realizado para avaliar a estabilidade dos coeficientes estimados diante de variações em variáveis exógenas do modelo. Por sua vez, o terceiro artigo "Household Electricity Demand in Brazil: a microdata approach", parte de dados da Pesquisa de Orçamento Familiar (POF) para mensurar a elasticidade preço da demanda residencial brasileira por energia elétrica. O uso de microdados permite adotar abordagens que levem em consideração a seleção amostral. Seu efeito sobre a demanda de eletricidade é relevante, uma vez que esta demanda é derivada da demanda por estoque de bens duráveis. Nesse contexto, a escolha prévia do estoque de bens duráveis (e consequentemente, a escolha pela intensidade de energia desse estoque) condiciona a demanda por eletricidade dos domicílios. Finalmente, o quarto trabalho, "Interpolação de Variáveis Fiscais Brasileiras usando Representação de Espaço de Estados" procurou sanar o problema de baixa periodicidade da divulgação de séries fiscais de Estados e Municípios brasileiros. Através de técnica de interpolação baseada no Filtro de Kalman, as séries mensais não observadas são projetadas a partir de séries bimestrais parcialmente observadas e covariáveis mensais selecionadas.