O impacto dos gastos com publicidade nas vendas das firmas: avaliação empírica.

Este trabalho tem por objetivo estimar um modelo empírico para relacionar os gastos em publicidade com a receita das firmas, de forma a servir como ferramenta de tomada de decisão, para isso vamos fazer um estudo de caso da indústria de telecomunicações. A Indústria de comunicação (publicidade) no Brasil, segundo dados do IBGE de 2008, é responsável por 4% do PIB, gerando receitas da ordem 115 bilhões de reais. Com 113 mil empresas que geram 711 mil empregos, ocupam 866 mil pessoas e pagam 11,8 bilhões em salários e encargos. No entanto, a maioria dos gestores de marketing declara não ter instrumentos para medir o impacto de suas ações no resultado das empresas. O modelo empírico será estimado tendo como base dados mensais dos serviços de ligações de longa distância nacional da Embratel para o período de janeiro de 2009 até dezembro de 2011. As informações quase sempre não disponíveis, só puderam ser usadas devido ao compromisso de confidencialidade. A partir de técnicas de cointegração, foi calculada a elasticidade de longo prazo da receita em relação aos gastos com publicidade e ao preço, assim com as respectivas velocidades de ajustamento aos desvios de curto prazo. Os resultados sugerem que a receita responde positivamente às variações dos gastos em publicidade, embora o percentual seja relativamente baixo, através do teorema de Dorfman-Steiner conseguimos indicar que o ponto ótimo da relação entre gastos com publicidade e a receita seria de aproximadamente 20%, respeitadas as limitações do modelo.

Cinema attendance during crises is there a relationship between cinema attendance and the state of the economy in France in the period 1992-2012?

O presente estudo teve como objetivo testar se a situação econômica teve um impacto sobre os hábitos de consumo de cinema na França, no período contemporâneo (1992-2012). O estudo aborda a relação entre indicadores econômicos e consumo de cinema em um nível agregado e, em seguida, analisa se os vários tipos de filmes, tipos de cinemas e categorias de cinéfilos foram mais ou menos foram afetados pelo estado da economia. No nível agregado, estudos semelhantes já foram realizados em outros países. Este estudo confirma os resultados para a França: como em outros países desenvolvidos, a situação da economia tem pouca influência no consumo de cinema e o setor é resiliente. Este trabalho também traz novas análises detalhadas sobre o comportamento de vários sub-tipos de filmes, segmentos de locais e categorias de consumidores. Ele demonstra que para a maior parte dessas sub-categorias, drivers do mercado são oferta e preço, e que a situação da economia tem pouca influência. Quanto ao tipo de cinema, o estudo argumenta que, comparativamente, cinemas grandes conseguem crescer durante o período de crise.

Três ensaios sobre política monetária e crédito

In the first essay, "Determinants of Credit Expansion in Brazil", analyzes the determinants of credit using an extensive bank level panel dataset. Brazilian economy has experienced a major boost in leverage in the first decade of 2000 as a result of a set factors ranging from macroeconomic stability to the abundant liquidity in international financial markets before 2008 and a set of deliberate decisions taken by President Lula's to expand credit, boost consumption and gain political support from the lower social strata. As relevant conclusions to our investigation we verify that: credit expansion relied on the reduction of the monetary policy rate, international financial markets are an important source of funds, payroll-guaranteed credit and investment grade status affected positively credit supply. We were not able to confirm the importance of financial inclusion efforts. The importance of financial sector sanity indicators of credit conditions cannot be underestimated. These results raise questions over the sustainability of this expansion process and financial stability in the future. The second essay, “Public Credit, Monetary Policy and Financial Stability”, discusses the role of public credit. The supply of public credit in Brazil has successfully served to relaunch the economy after the Lehman-Brothers demise. It was later transformed into a driver for economic growth as well as a regulation device to force private banks to reduce interest rates. We argue that the use of public funds to finance economic growth has three important drawbacks: it generates inflation, induces higher loan rates and may induce financial instability. An additional effect is the prevention of market credit solutions. This study contributes to the understanding of the costs and benefits of credit as a fiscal policy tool. The third essay, “Bayesian Forecasting of Interest Rates: Do Priors Matter?”, discusses the choice of priors when forecasting short-term interest rates. Central Banks that commit to an Inflation Target monetary regime are bound to respond to inflation expectation spikes and product hiatus widening in a clear and transparent way by abiding to a Taylor rule. There are various reports of central banks being more responsive to inflationary than to deflationary shocks rendering the monetary policy response to be indeed non-linear. Besides that there is no guarantee that coefficients remain stable during time. Central Banks may switch to a dual target regime to consider deviations from inflation and the output gap. The estimation of a Taylor rule may therefore have to consider a non-linear model with time varying parameters. This paper uses Bayesian forecasting methods to predict short-term interest rates. We take two different approaches: from a theoretic perspective we focus on an augmented version of the Taylor rule and include the Real Exchange Rate, the Credit-to-GDP and the Net Public Debt-to-GDP ratios. We also take an ”atheoretic” approach based on the Expectations Theory of the Term Structure to model short-term interest. The selection of priors is particularly relevant for predictive accuracy yet, ideally, forecasting models should require as little a priori expert insight as possible. We present recent developments in prior selection, in particular we propose the use of hierarchical hyper-g priors for better forecasting in a framework that can be easily extended to other key macroeconomic indicators.

Globalization and the Industrial Revolution (revised)

This paper argues that trade specialization played an indispensable role in supporting the Industrial Revolution. We calibrate a two-good and two-sector overlapping generations model to Englandís historical development and investigate how much different Englandís development path would have been if it had not globalized in 1840. The open-economy model is able to closely match the data, but the closed-economy model cannot explain the fall in the value of land relative to wages observed in the 19th century. Without globalization, the transition period in the British economy would be considerably longer than that observed in the data and key variables, such as the share of labor force in agriculture, would have converged to Ögures very distant from the actual ones.

Utilizando estimadores entrópicos generalizados na estimação de modelos de apreçamento de ativos

Este trabalho analisa as propriedades de uma nova medida de má especificação de modelos de apreçamento, que está relacionada com o tamanho do ajuste multiplicativo necessário para que o modelo seja corretamente especificado. A partir disso, caracterizamos o parâmetro que minimiza a medida a partir de um programa dual, de solução mais simples. Os estimadores naturais para esse parâmetro pertencem à classe de Generalized Empirical Likelihood. Derivamos as propriedades assintóticas deste estimador sob a hipótese de má especificação. A metodologia é empregada para estudar como se comportam em amostras finitas as estimativas de aversão relativa ao risco em uma economia de desastres quando os estimadores estão associados a nossa medida de má especificação. Nas simulações vemos que em média a aversão ao risco é superestimada, mesmo quando ocorre um número significativo de desastres.

Empresa na favela: políticas públicas e desafios

Desde o seu surgimento, as favelas no Rio de Janeiro foram, ao longo dos anos, foco de diferentes políticas públicas desenvolvidas pelos governantes. Primeiramente a ênfase dessas políticas foi pautada na questão da remoção das favelas, pois eram consideradas verdadeiras aberrações que necessitavam ser erradicadas. Com o passar dos anos nota-se uma grande mudança. O discurso de valorização da urbanização das favelas ganha força e o remocionismo parece ficar um pouco esquecido. Entretanto, a partir do ano de 2009, vemos que a agenda pública passa a dar grande ênfase ao fomento do empreendedorismo nas favelas, já que este é visto como um importante fator de geração de riquezas e combate da pobreza. Para isso, foram criados diferentes projetos por parte do poder público e da iniciativa privada que visam fomentar a iniciativa empreendedora nas favelas. Entretanto, como será exposto através de algumas entrevistas que foram realizadas com empreendedoras da favela do Cantagalo, estes projetos apresentam algumas barreiras e desafios que precisam ser vencidos para que possam servir à finalidade para a qual foram criados e para que sejam mais efetivos.

A monthly indicator of Brazilian GDP. The Brazilian business cycle and growth cycle

This paper constructs an indicator of Brazilian GDP at the monthly ftequency. The peculiar instability and abrupt changes of regimes in the dynamic behavior of the Brazilian business cycle were explicitly modeled within nonlinear ftameworks. In particular, a Markov switching dynarnic factor model was used to combine several macroeconomic variables that display simultaneous comovements with aggregate economic activity. The model generates as output a monthly indicator of the Brazilian GDP and real time probabilities of the current phase of the Brazilian business cycle. The monthly indicator shows a remarkable historical conformity with cyclical movements of GDP. In addition, the estimated filtered probabilities predict ali recessions in sample and out-of-sample. The ability of the indicator in linear forecasting growth rates of GDP is also examined. The estimated indicator displays a better in-sample and out-of-sample predictive performance in forecasting growth rates of real GDP, compared to a linear autoregressive model for GDP. These results suggest that the estimated monthly indicator can be used to forecast GDP and to monitor the state of the Brazilian economy in real time.

Effects of trade policy on technology adoption and investment

This paper studies the consequences of trade policy for the adoption of new technologies. It develops a dynamic international trade model with two sectors. Workers in manufacturing decide if new technologies are used, capital owners then choose investment. We analyze three different arrangements: free trade, tariffs, and quotas. In the model economy, free trade as well as tariffs guarantee that the most productive technology available will be used. In contrasL under a quota the most productive technology available will not be used at all times. Further, in the latter case investment and the capital stock are smaller than in the former one. Finally, there exists parameter values for which the computed difference in GDP is a factor of thirty.

Formation and destruction of coalition groups under economic growth

This paper introduces a model economy in which formation of coalition groups under technological progress is generated endogenously. The coalition formation depends crucially on the rate of arrival of new technologies. In the model, an agent working in the saroe technology for more than one period acquires skills, part of which is specific to this technology. These skills increase the agent productivity. In this case, if he has worked more than one period with the same technology he has incentives to construct a coalition to block the adoption of new technologies. Therefore, in every sector the workers have incentives to construct a coalition and to block the adoption of new technologies. They will block every time that a technology stay in use for more than one period.

Income composition, endogenous fertility and schooling investments in children

This paper studies how the eomposition of ineome between mothers and fathers affeets fertility and sehooling investments in ehildren, using data from the 1976 and 1996 PNAD, a Brazilian household survey. Ineome composition affeets the time eost of fertility because mothers and fathers alloeate different amounts of time to child-rearing. These effects are in turn transmitted to investments in ehildren through a tradeoffbetween quantity and quality of ehildren. The main contribution of this paper is twofold. First, it derives new implications about the relationship between household ineome composition and schooling investments in ehildren. Seeond, this paper devises and implements an empirieal approaeh to assess these implieations, using two eross-seetions of fertility and schooling data from Brazil. The main empirical findings of the paper ean be summarized as follows. First, the empirical analysis shows that a larger negative effect of the mother's labor in come on fertility in 1996 is associated with a larger positive effect on the adult child's schooling, refleeting the interaction between quantity and quality of children. Second, the larger negative effect of the mother's labor income on fertility in 1996 is associated with a reduction in the effect of other determinants of number of children. This suggests that an increase in the relative importanee of time costs of fertility may be an important determinant of variations in fertility over time in Brazil and other developing countries .

Technology adoption and effects of transfers across locations

This paper develops a two-period model with heterogeneous agents to analyze the e¤ects of transfers across locations on convergence, growth and welfare. The model has two important features. First, locations are asymmetric as it is assumed that there are more specialized occupations in the more developed one. Second, the returns on the investment to acquire new technology depend positively on the level of each region’s knowledge and on the level of the world knowledge assumed to be available to all. In one hand, the poor region has a disadvantage as it has a lower stock of knowledge. On the other hand, it has the advantage of not having yet exploited a greater stock of useable knowledge available in the world. Hence, there are two possible cases. When the returns are greater in the poor region, we obtain the following results: (i) the rich location grows slower; (ii) the transfers to the poor location enhances the country’s growth rate; and (iii) there is a positive amount of transfers to the poor region that is welfare improving. When the returns are greater in the rich region, the …rst two results are reversed and transfers to the rich region are welfare improving. In both cases, the optimal amount of transfer increases with the level of income disparity across regions and is not dependent on the level of the country’s economic development (measured by its income per capita). Barriers to the adoption of new technology available in the world can constrain the convergence process as it harms in greater length the poor region. The results do not change whether migration is allowed or not.

Generalists versus specialists in organizations

In this paper, we discuss the trade-o¤ between specialization and coordination in an organizational design problem. Most papers on the assignment of heterogeneous managers to di¤erent hierarchic levels emphasize the role of talent: better managers should be on top of hierarchies. However, this requires talent to be measured on an one-dimensional scale. In this paper, we explore the implications of allowing talent to have two dimensions: breadth and depth. Specialists have deep knowledge of few areas while generalists have narrow knowledge of many areas. When perfect communication is impossible, hierarchies arise in which generalists are at the top and specialists are at the bottom. We propose a model of imperfect communication and discuss its implications for organizational design, the optimal degree of centralization and the depth of hierarchies. We show that our model also implies plausible organizational structures, like balanced hierarchies and pyramidal structures.

Technical change and factor shares

The implications of technical change that directly alters factor shares are examined. Such change can lower the income of some factors of production even when it raises total output, thus offering a possible explanation for episodes of social conflict such as the Luddite uprisings in 19th century England and the recent divergence in the U. S. between wages for skilled and unskilled labor. An explanation also why underdeveloped countries do not adopt the latest technology but continue to use outmoded production methods. Total factor productivity is shown to be a misleading measure of technical progress. Share-altering technical change brings into question the plausibility of a wide class of endogenous growth models.