Income Distributive Effects in the Brazilian Economy

Studies aiming to evaluate the structural distribution of economic impacts usually treat consumption demand as an exogenous variable. In this case, the Leontief matrix multiplier lacks the multiplier process via the consumption function that one customarily finds in a Keynesian model. To regard the consumption as a fictitious production activity is not the appropriate procedure. Instead, the Keynesian consumption function is introduced at a disaggregated level. For that, a matrix multiplier was formulated in order to combine Leontief's propagation process with the Keynesian propagation process. This matrix includes the effects of endogenous changes in consumption demand. Based on the present production structure in Brazil, the results show how the propagation effect directs the induced income towards capitalists, depriving wage earners. The model also allows for evaluation of diverse effects of the propagation process according to income and consumption coefficients by sector.     

The Microfoundations of the Keynesian Multiplier Process

A theoretical foundation for the Keynesian multiplier process is derived from a simple model in which economic interactions are coordinated by a decentralized and self-organizing network of adaptive business enterprises. Deviation amplification arises from business failures that interrupt the flow of trading, and does not depend directly on lack of price-flexibility. Numerically the model produces almost the same hump-shaped impulse-response pattern as exhibited by GDP data in the United States.     

New Keynesian dynamics in a low interest rate environment

Recent research has found that the dynamic properties of the New Keynesian model are unorthodox when the nominal interest rate is zero. Improvements in technology and reductions in the labor tax rate lower economic activity and the size of the government purchase output multiplier is very large. This paper provides evidence that these results are not empirically relevant. We show that a prototypical New Keynesian model fit to Japanese data exhibits orthodox dynamics during Japan's episode with zero interest rates. We then demonstrate that this specification is more consistent with outcomes in Japan than alternative specifications that have unorthodox properties.     

Some causes of interstate differences in community bank performance

This study assesses the relationship between the performance of community banks and conditions in their marketplaces over the 1994–2008 period. A panel model is used, in which the states serve as the panels, and focuses on banks termed community financial institutions (CFIs). Bank performance is measured by the return on assets (ROA). The ROAs are averaged for all CFIs in each state. Statewide ROAs are related to each state’s economic, demographic, and market structure characteristics. These state-level characteristics explain some of the variations in the performance of each state’s CFIs over time, and results are economically and financially reasonable. Fixed effects play a role, linking each state’s performance to unidentified factors unique to each state. The mild (but statistically significant) explanatory power of the economic/demographic variables suggests that CFI managers can effectively deal with economic/demographic changes in their marketplace, in contrast to the troubles of big banks.     

Public infrastructure investment,output dynamics,and balanced budget fiscal rules

We study the dynamic macroeconomic effects of public infrastructure investment under a balanced budget fiscal rule, using an overlapping generations model of a small open economy. The government finances public investment by employing distortionary labor taxes. The balanced budget rule implies a negative short-run output multiplier that exceeds (in absolute terms) the positive long-run output multiplier. Larger public capital spillovers sharpen the intertemporal output tradeoff. In contrast to conventional results regarding public investment shocks, we obtain dampened cyclical responses for plausible parameter values. The cyclical dynamics arise from the interaction between the labor tax rate, the tax base, and the intergenerational spillover effects. We show that financing scenarios involving public debt creation can substantially reduce the short-run output contraction and the transitional macroeconomic fluctuations induced by public investment.     

The New Keynesian Model and the Euro Area Business Cycle*

This paper describes a New Keynesian model incorporating transactions‐facilitating money and a time‐to‐build constraint into endogenous capital accumulation. The calibrated New Keynesian model performs almost as well as the estimated vector autoregressive model in replicating Euro area cyclical correlations between key variables such as output and inflation, although it fares less well in predicting the procyclical dynamics of nominal interest rates. The presence of a time‐to‐build requirement in the model helps to improve its fit to Euro area data, whereas the role of transactions‐facilitating money is much less important. Impulse–response functions and a decomposition of variance complete the analysis.     

Unemployment,income distribution and debt-financed investment in a growth cycle model

As recent experience suggests, the most significant economic fluctuations are those that combine real and financial factors. This paper works out a simple model that couples a version of Goodwin׳s (1967) growth cycle model of real fluctuations with insights drawn from a model of financial fluctuations based on Minsky׳s financial instability hypothesis (Vercelli, 2000, Sordi and Vercelli, 2006, Sordi and Vercelli, 2012). The model suggested substantially modifies that of Keen (1995), who combined insights from Goodwin and Minsky within a model of fluctuating growth. In the real part of the model we introduce the possibility of disequilibrium in the goods market and formalize a mechanism of output adjustment based on the conventional dynamic multiplier. The model so obtained may exhibit persistent dynamics and provide insights to enable better understanding of the nature of real-world fluctuations.     

对我国潜在产出、结构预算与财政态势的关联性研究

本文基于新凯恩斯型动态模型的状态空间模型对潜在产出进行估计，并利用估计结果计算出政府财政预算中的结构性成分和周期性成分。通过对周期性预算余额和结构性预算余额的分析发现，我国财政自动稳定器功能较弱，财政收入和支出的周期性波动相对较小；周期性预算余额的变化与经济周期波动相吻合；我国1998年以来的财政态势具有明显的反周期特点，其对于拉动经济增长、减少经济波动起到了重要作用。     

GDP Estimates: Rationality Tests and Turning Point Performance

The reliability of BEA’s estimates, as measured by the magnitude and pattern of revisions, is highly important to economic policy-making and business decisions. We find evidence that the revisions are partially predicable using contemporaneously available information for the current quarterly estimates of GDP. Information about national income is found to significantly supplement the information found in the final current quarterly estimates of GDP in explaining the revisions to the latest-available estimates of GDP. However, there is little evidence of the predictability of revisions in GDI or national income. Finally, both the advance and final current quarterly estimates are found to do a reliable job of measuring GDP and GDI around cyclical peaks, but a less reliable job around cyclical troughs, the declines preceding the troughs are overstated and the upturns after the troughs are understated. An earlier and somewhat expanded version of this paper, “Revisions, Rationality, and Turning Points in GDP,” was presented at the session “Tracking the Turning Points in the Economy,” AEA meetings January 3–5 2003, Washington DC. It is available in the “working papers” section of BEA’s web site, www.bea.gov     

Impact of investor’s varying risk aversion on the dynamics of asset price fluctuations

While investors’ responses to price changes and their price forecast have been identified as one of the major factors contributing to large price fluctuations in financial markets, our study shows that investors’ heterogeneous and dynamic risk aversion (DRA) preferences may play a more critical role in understanding the dynamics of asset price fluctuations. We allow an agent specific and time-dependent risk aversion index in a popular power utility function with constant relative risk aversion to construct our DRA model in which we made two key contributions. We developed an approximated closed-form price setting equation, providing a necessary framework for exploring the impact of various agents’ behaviors on the price dynamics. The dynamics of each agent’s risk aversion index is modeled by a bounded random walk with a constant variance, and such dynamics is incorporated in the price formula to form our DRA model. We show numerically that our model reproduces most of the “stylized” facts observed in the real data, suggesting that dynamic risk aversion is an important mechanism for understanding the dynamics of the financial market and the resultant financial time series.     

Entrepreneurship,income distribution and economic growth

Traditionally different factors and variables have been considered in the economic growth models. Following Solow’s model, economists considered physical capital and technology during 1950s–1980s. With the introduction of endogenous growth models, new forms of capital were introduced in the production function; human capital, public capital and more recently social capital. However, the consideration of qualitative variables is necessary to improve the economic growth analysis. The improvement of statistical information has favored their introduction in the economic growth models. Recently, “entrepreneurship” concept has been considered in this type of analysis. Entrepreneurship considers the capacity and ability to create new business and production activity. It is an activity not an occupation. Some authors like Schumpeter have included it in their models and they have analysed its effects on economic growth. But it is also necessary to include the role of social climate, that in a schumpterian way it could be represented by income distribution. The main objective of the paper is to analyze the relationship between entrepreneurship, income distribution and economic growth following the ideas developed by Schumpeter and we will contrast them from a empirical analysis using the GEM (Global Entrepreneurship Monitor) data.     

The uncertainty multiplier and business cycles

I study a business cycle model where agents learn about the fundamentals by accumulating capital. During recessions, agents invest less, and this generates noisier estimates of macroeconomic conditions and an increase in uncertainty. The endogenous increase in aggregate uncertainty further reduces economic activity and thus gives rise to a multiplier effect that amplifies aggregate fluctuations. To discipline learning dynamics, I parametrize the model so that it matches not only standard business cycle moments but also survey data on macroeconomic forecasts. I find that the uncertainty multiplier amplifies output standard deviation by 16%.     

A note on acceptance sampling for variables

For 60 years acceptance sampling by variables has been recommended as an economic alternative to attribute sampling. Entry in the industrial practice happened after these plans were adopted in 1957 as Military Standard 414 by the US Army. Nowadays a slightly modified version of Mil-Std-414 is known as ANSI/ASQC Z1.9 or as International Standard ISO 3951. In this paper it is shown that the derivation of sampling plans by variables is based on assumptions which don’t hold, that acceptance sampling by variables is inappropriate, and that it doesn’t constitute an alternative to attribute sampling.     

MULTIPLER EFFECTS AND STRUCTURAL CHANGE: APPLYING ECONOMIC BASE ANALYSIS TO SMALL ECONOMIES

Multiplier models (economic base, input-output, Keynesian) implicitly assume that pre-impact and post-impact interindustry transaction patterns are, for all practical purposes, identical. However, in very small regional economies this assumption is invariably violated because the economy undergoes a structural transformation during the impact process. That is, the economy often clearly shifts away from one functional type (e.g., service-oriented) toward another functional type (e.g., manufacturing-oriented) during the economic impact. Using marginal economic base analysis this paper outlines a model for predicting small-area impacts that captures not only the traditional multiplier effect but other effects related to (i) employment-based structural shifts and (ii) nonemployment-based contextual shifts. Algebraic and numerical derivations are given for the expected employment shifts in a hypothetical impacted economy. All numerical results follow from an earlier statistical analysis of the Arizona Community Data Set (ACDS).     

Quantitative easing and the loan to collateral value ratio

We study optimal monetary policy in a New Keynesian model at the zero bound interest rate where households use cash alongside house equity borrowing to conduct transactions. The amount of borrowing is limited by a collateral constraint. When either the loan to value ratio declines or house prices fall, we observe a decrease in the money multiplier. We argue that the central bank should respond to the fall in the money multiplier and therefore to the reduction in house prices or the loan to collateral value ratio. We also find that optimal monetary policy generates a large and persistent fall in the money multiplier in response to the drop in the loan to collateral value ratio.     

Deep habits and the cyclical behaviour of equilibrium unemployment and vacancies

We extend the standard textbook search and matching model by introducing deep habits in consumption. This assumption generates amplification in the response of labour market variables to technology shocks by producing endogenous countercyclical mark-ups. The cyclical fluctuations of vacancies and unemployment in our model can replicate those observed in the US data, with labour market tightness being 20 times more volatile than consumption. Vacancies display a hump-shaped response to technology shocks and the numerical simulations generate an artificial Beveridge curve that is in line with the data. Our model preserves the assumption of fully flexible wages for new hires and the calibration is consistent with the estimated elasticity of unemployment to unemployment benefits. Finally, we show that in contrast to models with exogenous mark-up shocks, the deep habits model does not require an implausible variation in the elasticity of demand to match the volatility of labour market variables, and the cyclical properties of the mark-up are in line with empirical evidence.     

Applying a hidden Markov chain model in quality function deployment to analyze dynamic customer requirements

This study applies a hidden Markov chain model in quality function deployment to analyze dynamic customer requirements from probabilities viewpoints. In reality, the needed probabilities can be computed based upon the experts’ opinions for economic conditions as well as the customers’ surveys by asking customers’ preferences under different economic conditions. Each customer requirement can be analyzed as time goes by. In addition, the changes for each technical measure can be closely examined from time to time. More importantly, when new customers’ surveys are conducted and available as well as the new economic conditions analyzed by experts have been updated, both customer requirements and technical measures can be adjusted in a timely basis to reflect and fulfill the dynamic customer requirements. As a result, this proposed approach provides a decision maker to analyze and satisfy both past and present customer needs early on such that a better strategy can be made based upon the most updated customers’ surveys and economic conditions.     

Does Trade Liberalization Cause a Long Run Economic Growth in Turkey

Based on ‘endogenous’ growth theory, the paper examines the effect of trade liberalization on long-run income per capita and economic growth in Turkey. Although the presumption must be that free trade has a beneficial effect on long run growth, counter examples can also be found. This controversy increases the importance of empirical work in this area. Using the most recent data we employ multivariate cointegration analysis to test the long run relationship among the variables in hand. In a multivariate context, the effect of determinants such as increasing returns to scale, investment in human and physical capital are also included in both theoretical and empirical works. Our causality evidence between the long run growth and a number of indicators of trade liberalizations confirms the predictions of the ‘new growth theory’. However, the overall effect of the possible breaks and/or policy change and unsustainability in the 1990s looks contradictory and deserves further investigation.     

Self-organized criticality in a herd behavior model of financial markets

This paper explains the fat-tail distribution of asset transaction volumes and prices by a model of rational herd behavior of traders. Each trader decides whether to buy an asset by observing private information and other traders’ actions. A trader’s buying action reveals his positive private information and affects the other traders’ beliefs in favor of buying, leading to strategic complementarity. A power-law distribution emerges for the number of buying actions in a static Nash equilibrium. This model provides an economic reason as to why the stock market has to exhibit a criticality in the connectivity of the traders’ actions. I am benefited by comments from the seminar participants at University of Tokyo and the Econophysics Colloquium 2006 at International Christian University, the editors of the special issue, and particularly an anonymous referee.     

Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.