The main purpose of this study is to examine the causal relations between energy use, CO2 emissions and economic growth for Sweden. Vector Error Correction model with annual data from 1970 to 2016 has been used in order to determine potential causality between the variables. The empirical findings indicate that in the long-run, causality relationship between energy consumption, CO2 emissions and economic growth cannot be rejected and it is bidirectional. This means that energy is a determining factor for economic growth in Sweden and that applying policies in order to reduce the CO2 emissions has slowed down economic growth in Sweden. This finding is consistent with the Feedback Hypothesis. But in the short-run no causality was found between energy and economic growth. According to Granger causality test results, bidirectional causality between CO2 emissions and energy consumption cannot be rejected in the short-run. Variables’ trends show that in the period under study, energy consumption and economic growth have moved in the same direction; meaning that higher energy consumption has led to higher economic growth. At the same time, lower CO2 emissions have been accompanied by higher economic growth. There is also short-run causality running from capital to economic growth according to VECM results. It can be suggested to the policy makers that in order to maintain economic growth and reduce environmental degradation, energy consumption should be shifted gradually from nonrenewable sources to renewable ones so to avoid decrease in economic growth and ensure lower levels of CO2 emissions in the long-run.

O café foi de extrema importância para o desenvolvimento e a dinamização da economia brasileira desde meados do século XIX, quando já ocupava a posição de principal produto da pauta exportadora brasileira, aí se mantendo por quase um século. Nos dias atuais, apesar de ter passado por diversos momentos de instabilidade, o Brasil ainda é maior produtor e exportador mundial de café. Atualmente, com a desregulação pelo Estado, há uma mais organização estratégica e maior cooperação entre os agentes. Como o café é um produto típico de exportação, seu preço nas diferentes regiões do país está ligado aos preços internacionais. Teoricamente, os mercados estando interligados, devem ser observadas tendências temporais muito próximas entre as séries no longo prazo. Posto isso, o objetivo do presente trabalho é avaliar a integração e a transmissão de preços do café arábica negociado na bolsa ICE Futures US, em Nova York, para as regiões produtoras de café arábica dentro dos estados de São Paulo (Mogiana e Paulista), Paraná (Noroeste) e Minas Gerais (Cerrado e Sul). Para analisar a relação de assimetria entre os preços de café das bolsas e do mercado físico utiliza-se o modelo descrito por Cânedo-Pinheiro (2012) para o mercado de óleo diesel no Brasil e por Cunha e Wander (2014) para o mercado de feijão no Estado de São Paulo. Como resultados, observou-se a presença de integração entre as séries de preços nas regiões estudadas com os preços da bolsa ICE Futures US, tanto no curto como no longo prazo. Todas as séries apresentaram elasticidade de transmissão de preços maior do que a unidade. A assimetria de transmissão de preços foi verificada em todas as regiões estudadas, ou seja, reduções de preço no mercado internacional são repassadas com maior intensidade para o produtor do que aumentos, exceto no caso do Sul de Minas Gerais, onde os ajustes foram simétricos. Apesar da existência de assimetria no curto prazo, o estudo verificou que no longo prazo, para todas as regiões, a assimetria tende a se inverter e mesmo desaparecer, dependendo do período. No curto prazo, os ajustes de queda são repassados mais rapidamente que os aumentos, enquanto que no longo prazo a velocidade de ajustamento para os aumentos de preços é maior do que para reduções, com exceção da região Mogiana. / Coffee was one of the most important products for the development and dynamism of the Brazilian economy since the mid-nineteenth century, when it held the first position of Brazilian exports, and kept as first for nearly a century. Nowadays, despite of having gone through several moments of instability, Brazil is still the largest coffee producer and exporter in the world. Currently, with the deregulation of the state, there is a more strategic organization and greater cooperation among agents. Because coffee is a typical export product, it´s price in different regions of the country is linked to international prices. Therefore, the price series have the same long term tendency, for being linked. The objective of this study is to evaluate the integration and price transmission of arabica coffee, traded on ICE Futures US in New York, to the producing regions of arabica coffee in the states of São Paulo (Mogiana and Paulista), Paraná (Northeast) and Minas Gerais (Cerrado and South). In order to analyze the asymmetric price transmission between international coffee prices and Brazilian markets, the rule model for the diesel fuel market in Brazil, was the one described by Canedo-Pinheiro (2012), and for the dry bean market in the state of Sao Paulo, the model used by Cunha and Wander (2014). The findings confirm the presence of integration between the price series in the regions studied and the prices of ICE Futures US in both short and long term. All series had elasticity transmission rates greater than unity. The asymmetry in price transmission was present in all regions studied, ie price reductions in the international market are passed on with greater intensity for the producer than the increases, except in South of Minas Gerais, where adjustments were symmetrical. Even though there is short-term asymmetry, the study found that in the long run, asymmetry tends to reverse and even disappear, depending on the period, for all producer regions. Although the drop settings are passed on faster than the increases in the short term, in the long-term the speed adjustment for price increases is greater than for reductions, except Mogiana region.

Conselho Nacional de Desenvolvimento CientÃfico e TecnolÃgico / O presente trabalho estima a elasticidade produto-gasto pÃblico para economia brasileira, no perÃodo de 1950 a 2003, utilizando um modelo vetorial de correÃÃo de erro (VECM) para controlar possÃveis mudanÃas estruturais nas sÃries. Quando existem mudanÃas estruturais, os vÃrios testes estatÃsticos de Dickey-Fuller sÃo viesados em direÃÃo da nÃo rejeiÃÃo de uma raiz unitÃria. Este viÃs significa que o teste de Dickey-Fuller à viesado em direÃÃo da hipÃtese nula de uma raiz unitÃria, mesmo se a sÃrie à estacionÃria dentro de cada subperÃodo. Sem controlar para mudanÃas estruturais, os testes de cointegraÃÃo podem apresentar resultados enganosos, e as estimativas obtidas podem ser viesadas. / Aiming to estimate the elasticity product-public expenditure to the Brazilian economy, during the period 1950-2003, it was used a vector error correction model (VECM) to control for possible structural changes in the series. When structural changes were observed, many of the Dickey-Fuller statistic tests are biased towards the non-rejection of the existence of a unit root. This bias means that the Dickey-Fuller test is biased towards the null hypothesis of unit root, even if the series is stationary within each sub period. Without controlling for structural changes, the cointegration tests may present deceiving results and the estimates obtained may be biased.

The aim of this diploma thesis is to analyze the development of the total volume of debt in the Czech Republic and the analysis separately for the household sector and non-financial corporations. From economic theoretical assumptions it can be concluded that there is a correlation between the amount of loans and GDP development or between credit and economic cycle. The thesis is divided into three parts. The first part made up of chapters 1 to 4, describes the theory used further in the text. The second part, Chapter 5, describes the specific time series used in the thesis, i.e. The time series of the volume of debt for the Czech Republic, GDP and interest rates. Interest rates and the volume of debt are further broken down by maturity and also by two selected sectors. The last part, Chapter 6, focusing on co-integration analysis, ADL and error correction models, attempts to capture short-term and long-term relationships between the time series.

The degree work is focused on analysis of inflation with help of suitable econometric models. Inflation with it's forms and possibilities of measuring is described at the beginning of the paper. There is mentioned an importance of monitoring and analysing inflation in view of Czech national bank. Consequently there are described characteristics of time series, which are important from viewpoint of construction of econometric models. Next part of this paper is focused on characterization of econometrics models. At first there is vector autoregression model, in this connection there is discussed the essence of Granger causality and impulse reaction. There are also noticed both error correction model and vector error correction model. The empirical part of degree work involves the use of these models on selected macroeconomic time series of the Czech republic. The objective is to analyze the relationship between inflation and other individual macroeconomic quantities. There is established the optimal vector autoregressive model and the results of Granger causality and impulse reaction are interpretated. Both error correction model and vector error correction model examining cointegration are also applied.

This paper examines the (in contemporary literature inconclusive) usefulness ofcointegration between stock prices as basis for a trading strategy. The primary contributionto previously used frameworks of the paper is the implementation and use of error correctionmodels for selection of stocks to trade on. Evaluation is done through simulated resultsrunning the algorithm on the sectors of the Standard and Poor’s 500 index in the years 2005through 2014. Results indicate that trading strategies of this nature may be very successfuleven in recent years given that the universe of tradeable stocks within a sector is sufficientlylarge. The application of error correction models improve average returns, though in a waynot originally anticipated.

FDI investment is a vital factor for the developing countries economic growth. Apart from working as a catalyst of increasing total output level, FDI is a source of clean energy, technology transfer and energy efficiency. There have been very limited studies on the impact of FDI on renewable energy consumption in the context of Bangladesh. In fact, to my best knowledge there hasn’t been any studies on Bangladesh regarding this relationship with recent data available. Therefore, the aim of this paper is to reveal the relationship between FDI and renewable energy consumption in Bangladesh with annual Data spanning from 1980 to 2016. Johansen’s cointegration test showed that variables are cointegrated in the long run. Through Vector Error Correction Model (VECM), the paper shows there is short run and long run causality between FDI and Renewable Energy Consumption and the causality is negative. Granger causality test reveals that the direction of causality is running from FDI to Renewable Energy Consumption. Policies regarding attracting more sectoral FDI should be considered to improve investment scenario in Renewable energy sector.

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Yes / This paper develops a model of optimal choice over an array of different assets, including domestic and foreign bonds, domestic and foreign equities and domestic and foreign real money balances in order to examine the determination of the real exchange rate in the long-run. The model is tested empirically using data from the UK and the USA. The results show that all the coefficients of the model are right signed and significant and consequently financial assets may play a significant role in the determination of the real exchange rate.

Made available in DSpace on 2016-03-15T19:25:37Z (GMT). No. of bitstreams: 1 Eli Hadad Junior.pdf: 290403 bytes, checksum: 413b010b2b66c535b71df800b9626c61 (MD5) Previous issue date: 2011-08-10 / The dissertation analyzes data of the Brazilian household consumption and income between the years 1947 and 2009. The study aims to evaluate to what extent the aggregate consumption of Brazilian household may approximate be a random walk. The dissertation uses Johansen's cointegration techniques (1988, 1991) and super exogeneity tests as proposed by Engle and Hendry et al. (1983). The dissertation attempts to evaluate whether interventions that affect consumption will impact the dynamics of aggregate income. These interventions can occur through credit policies and tax changes, among other macroeconomic shocks. Finally, a decomposition is made following the methodology proposed by Gonzalo-Granger (1995) and evaluating the importance of shocks in permanent and temporary changes in consumption. / A dissertação analisa os dados de consumo e renda das famílias brasileiras entre os anos de 1947 e 2009. O trabalho visa avaliar em que medida o consumo agregado das famílias brasileiras pode ser bem aproximando a partir de um passeio aleatório puro. O trabalho utiliza técnicas de cointegração de Johansen (1988, 1991) e testes de super exogeneidade na forma proposta por Hendry, Engle et al. (1983). A dissertação procura avaliar se intervenções que afetam o consumo das famílias geram impacto na dinâmica da renda agregada das mesmas. Tais intervenções podem ser por políticas de crédito, alterações tributárias, choque macroeconômicos entre outras. Por fim uma decomposição entre fatores permanentes e transitórios será feita pela metodologia proposta por Gonzalo-Granger (1995) com o objetivo de avaliar-se a importância dos choques permanentes e transitórios para as variações do consumo.