Brazil and Turkey, a comparative analysis of both countries' economic development and institutional design from the Great Depression to the early 21st century

Apos uma década de rápido crescimento econômico na primeira década do século 21, Brasil e Turquia foram considerados duas das economias emergentes mais dinâmicas e promissoras. No entanto, vários sinais de dificuldades econômicas e tensões políticas reapareceram recentemente e simultaneamente nos dois países. Acreditamos que esses sinais e a sua simultaneidade podem ser entendidos melhor com um olhar retrospectivo sobre a história econômica dos dois países, que revela ser surpreendentemente paralela. Numa primeira parte, empreendemos uma comparação abrangente da história econômica brasileira e turca para mostrar as numerosas similaridades entre os desafios de política econômica que os dois países enfrentaram, assim como entre as respostas que eles lhes deram desde a virada da Grande Depressão até a primeira década do século 21. Essas escolhas de política econômica comuns dão forma a uma trajetória de desenvolvimento notavelmente análoga, caracterizada primeiro pela adoção do modelo de industrialização por substituição das importações (ISI) no contexto da recessão mundial dos anos 1930; depois pela intensificação e crise final desse modelo nos anos 1980; e finalmente por duas décadas de estabilização e transição para um modelo econômico mais liberal. Numa segunda parte, o desenvolvimento das instituições econômicas e políticas, assim como da economia política subjacente nos dois países, são analisados comparativamente a fim de prover alguns elementos de explicação do paralelo observado na primeira parte. Sustentamos que o marco institucional estabelecido nos dois países durante esse período também têm varias características fundamentais em comum e contribui a explicar as escolhas de política econômica e as performances econômicas comparáveis, detalhadas na primeira parte. Este estudo aborda elementos do contexto histórico úteis para compreender a situação econômica e política atual nos dois países. Potencialmente também constitui uma tentativa de considerar as economias emergentes numa perspectiva histórica e comparativa mais ampla para entender melhor as suas fraquezas institucionais e adotar um olhar mais equilibrado sobre seu potencial econômico.

Forecasting accuracy and estimation uncertainty using VAR models with short- and long-term economic restrictions: a Monte-Carlo study

Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic relationships. The Örst reduces parameter space by imposing long-term restrictions on the behavior of economic variables as discussed by the literature on cointegration, and the second reduces parameter space by imposing short-term restrictions as discussed by the literature on serial-correlation common features (SCCF). Our simulations cover three important issues on model building, estimation, and forecasting. First, we examine the performance of standard and modiÖed information criteria in choosing lag length for cointegrated VARs with SCCF restrictions. Second, we provide a comparison of forecasting accuracy of Ötted VARs when only cointegration restrictions are imposed and when cointegration and SCCF restrictions are jointly imposed. Third, we propose a new estimation algorithm where short- and long-term restrictions interact to estimate the cointegrating and the cofeature spaces respectively. We have three basic results. First, ignoring SCCF restrictions has a high cost in terms of model selection, because standard information criteria chooses too frequently inconsistent models, with too small a lag length. Criteria selecting lag and rank simultaneously have a superior performance in this case. Second, this translates into a superior forecasting performance of the restricted VECM over the VECM, with important improvements in forecasting accuracy ñreaching more than 100% in extreme cases. Third, the new algorithm proposed here fares very well in terms of parameter estimation, even when we consider the estimation of long-term parameters, opening up the discussion of joint estimation of short- and long-term parameters in VAR models.

Business competition dynamics: agent-based modeling simulations of firms in search of economic performance

A intenção deste trabalho é explorar dinâmicas de competição por meio de “simulação baseada em agentes”. Apoiando-se em um crescente número de estudos no campo da estratégia e teoria das organizações que utilizam métodos de simulação, desenvolveu-se um modelo computacional para simular situações de competição entre empresas e observar a eficiência relativa dos métodos de busca de melhoria de desempenho teorizados. O estudo também explora possíveis explicações para a persistência de desempenho superior ou inferior das empresas, associados às condições de vantagem ou desvantagem competitiva

Immigration as a strategic vector for the socio-economic and institutional development of Brazil

Brazil has demonstrated resilience in relation to the recent economic crises and has an auspicious development potential projected for the coming decades, which, linked to the globalization process, provides important opportunities for our people. Gradually we have established ourselves as one of the leading nations in the world and we have become a reference in questions linked to economic equilibrium, development, energy, agriculture and the environment. This international recognition favors the exchange of experiences with other cultures, governments and organizations, bringing with it the possibility of stimulating a dynamic process of development and innovation.

Essays on economic growth

A fundamental question in development economics is why some economies are rich and others poor. To illustrate the income per capita gap across economies consider that the average gross domestic product (GDP) per capita of the richest 10 percent of economies in the year 2010 was a factor of 40-fold that of the poorest 10 percent of economies. In other words, the average person in a rich economy produces in just over 9 days what the average person in a poor economy produces in an entire year. What are the factors that can explain this difference in standard of living across the world today? With this in view, this dissertation is a conjunction of three essays on the economic growth field which we seek a possible responses to this question. The first essay investigates the existence of resource misallocation in the Brazilian manufacturing sector and measures possible distortions in it. Using a similar method of measurement to the one developed by Hsieh and Klenow (2009) and firm-level data for 1996-2011 we find evidence of misallocation in the manufacturing sector during the observed period. Moreover, our results show that misallocation has been growing since 2005, and it presents a non-smooth dynamic. Significantly, we find that the Brazilian manufacturing sector operates at about 50% of its efficient product. With this, if capital and labor were optimally reallocated between firms and sectors we would obtain an aggregate output growth of approximately 110-180% depending on the mode in which the capital share is measured. We also find that the economic crisis did not have a substantial effect on the total productivity factor or on the sector's misallocation. However, small firms in particular seem to be strongly affected in a global crisis. Furthermore, the effects described would be attenuated if we consider linkages and complementarity effects among sectors. Despite Brazil's well-known high tax burden, there is not evidence that this is the main source of resource misallocation. Moreover, there is a distinct pattern of structural change between the manufacturing sectors in industrialized countries and those in developing countries. Therefore, the second essay demonstrate that this pattern differs because there are some factors that distort the relative prices and also affect the output productivity. For this, we present a multi-sector model of economic growth, where distortions affect the relative prices and the allocation of inputs. This phenomenon imply that change of the production structure or perpetuation of the harmful structures to the growth rate of aggregate output. We also demonstrate that in an environment with majority decision, this distortion can be enhanced and depends on the initial distribution of firms. Furthermore, distortions in relative prices would lead to increases in the degree of misallocation of resources, and that imply that there are distinct patterns of structural changes between economies. Finally, the calibrated results of the framework developed here converge with the structural change observed in the firm-level data of the Brazilian manufacturing sector. Thereafter, using a cross-industry cross-country approach, the third essay investigates the existence of an optimal level of competition to enhance economic growth. With that in mind, we try to show that this optimal level is different from industrialized and under development economies due to the technology frontier distance, the terms of trade, and each economy's idiosyncratic characteristics. Therefore, the difference in competition industry-country level is a channel to explain the output for worker gap between countries. The theoretical and empirical results imply the existence of an inverted-U relationship between competition and growth: starting for an initially low level of competition, higher competition stimulates innovation and output growth; starting from a high initial level of competition, higher competition has a negative effect on innovation and output growth. Given on average industries in industrialized economies present higher competition level. With that if we control for the terms of trade and the industry-country fixed effect, if the industries of the developing economy operated under the same competition levels as of the industrialized ones, there is a potential increase of output of 0.2-1.0% per year. This effect on the output growth rate depends on the competition measurement used.

5th BRICS Trade and Economic Research Network (TERN) meeting: the impact of mega agreements on BRICS

The BRICS TERN – BRICS Trade and Economics Research Network is a group of independent research institutes established four years ago by five think tanks from Brazil, Russia, India, China and South Africa. The main objective of the network is to study different aspects of trade and economic relations amongst these five countries. The purpose of the V BRICS TERN Meeting was to analyze and debate the effects of the negotiations of the Mega Agreements, mainly those initiated by the US and the EU, already in negotiation, to each of the BRICS Trade Policies. Both Mega Agreements were examined – the Trans Pacific Partnership (TPP) and the Transatlantic Trade and Investment Partnership (TTIP). The studies included the main impacts on trade flows and on the international trade rules system, respecting the perspective of each of the countries concerned. This workshop was an initiative of the Center for Global Trade and Investments (CGTI), a think-tank on International Trade held by FGV Sao Paulo School of Economics. Its main objective is the research on trade regulation, preferential trade agreements, trade and currency, trade and global value chains, through legal analysis and economic modelling. One of its main researches, now, is on the potential economic and legal impacts of the Mega Agreements on Brazil and WTO rules. This meeting was organized in March14, 2014, in Rio de Janeiro, in a perfect timing for introducing such issues in the international agenda, in advance of the 6th BRICS Summit scheduled to be held in Brazil in July 2014.

Assessing global economic activity linkages: an empirical exercise based on global autoregressive regression

Economic performance increasingly relies on global economic environment due to the growing importance of trade and nancial links among countries. Literature on growth spillovers shows various gains obtained by this interaction. This work aims at analyzing the possible e ects of a potential economic growth downturn in China, Germany and United States on the growth of other economies. We use global autoregressive regression approach to assess interdependence among countries. Two types of phenomena are simulated. The rst one is a one time shock that hit these economies. Our simulations use a large shock of -2.5 standard deviations, a gure very similar to what we saw back in the 2008 crises. The second experiment simulate the e ect of a hypothetical downturn of the aforementioned economies. Our results suggest that the United States play the role of a global economy a ecting countries across the globe whereas Germany and China play a regional role.