Thesis (MComm (Economics)--University of Stellenbosch, 2006. / The goal of this thesis is twofold: it aims, firstly, at a description of cycles in South African financial variables and, secondly, at the evaluation of the relationship between cycles in financial variables and the South African business cycle. The study is based on the original business cycle framework of Arthur Burns and Wesley Mitchell, but incorporates recent contributions by Australian economists Don Harding and Adrian Pagan, as well as the work of the Economic Cycle Research Institute in New York. Part I of the thesis is concerned with the characteristics of cycles in financial variables within the South African context. The first chapter presents a taxonomy of the concepts of classical, deviation and growth rate cycles in order to establish a simple reference framework for cycle concepts. At this point the concept of a ‘turning point cycle’ is introduced, with particular focus on the non-parametric method of turning point identification, following Harding and Pagan’s recent translation of the original work of Burns and Mitchell into a modern version with a sound statistical basis. With the turning points identified the dissertation proceeds to an exposition of descriptive measures of expansion and contraction phases. The second chapter entails an empirical report on descriptive results for amplitude and duration characteristics of cycle phases in the different financial variables, with separate reports for classical cycles and growth rate cycles. Chapter two concludes with a series of tables in which the behaviour of cycle phases are compared for different financial variables. Part II considers financial variables as potential leading indicators of the business cycle in South Africa. Chapter 3 introduces the concept ‘leading indicator’ to this end and distinguishes the original concept from modern, econometric versions. The chapter then introduces a framework for evaluating potential leading indicators, which emphasises two requirements: firstly, broad co-movement between cycles in the proposed leading indicator and the business cycle and, secondly, stability in the number of months between turning points in cycles of the proposed indicator and business cycle turning points. The capacity of potential indicators to meet these criteria is measured via the concordance statistic and the ‘lead profile’ respectively. Chapter four provides the statistical basis for the concordance statistic, after which the empirical results (presented separately for classical and growth rate cycles) are presented. The fifth chapter presents the statistical test for the stability of the interval by which cyclical turning points in the potential indicator lead turning points in the business cycle. Empirical results are presented in both tabular form (the ‘lead profile’) and graphical form (the ‘lead profile chart’). As far as can be determined, this analysis represents the first application of the ‘lead profile’ evaluation to financial variables. Chapter six concludes by presenting a summary of the results and a brief comparison with findings from an econometric study of leading indicators for South Africa.

This thesis consists of three essays concerned with endogenous fiscal policy and its interaction with political economy constraints. The first essay presented in Chapter 2 examines the cyclical behavior of endogenous government consumption over the business cycle absent a commitment mechanism in a neoclassical economy with Total Factor Productivity (TFP) shocks and investment shocks. Tax rates that finance public consumption are chosen in a time consistent way in a dynamic game between the government and a representative agent that values public goods in his utility. It is found that government consumption set without commitment behaves procyclical in response to the mentioned shocks. The government-consumption-output ratio is mildly procyclical or countercyclical depending on the selected calibration. Particularly, the elasticity of substitution between private and public goods plays an important role. The second essay showed in Chapter 3 extends the model studied in Chapter 2 adding agent heterogeneity in wealth and labor productivity. The aim of this study is to identify how policy outcomes are affected by inequality of households, particularly the median voter's choice of tax rates that finance public goods. For a standard RBC calibration to the U.S. economy the result is a strong procyclical comovement of public consumption with output, and a relatively weak procyclical comovement of the output share of public consumption with output, that becomes stronger with rising inequality. The politico-economic channel induces causality from output to lagged tax rates, therefore after a Hicks neutral productivity shock the median voter tries to delay the increase in the tax rate, such that the increment will take place just after the accumulation of more capital. In the case of equal agents the response is to decrease the tax rate in the first year after the shock. Additionally, the model predicts that the size of government consumption decreases with inequality. The last essay in Chapter 4 presents a stylized model of external sovereign debt that incorporates corruption in the form of rent-seeking groups by which the choice to cooperate or non-cooperate in providing public goods, in extracting rents and in issuing debt, is endogenized. More than one rent-seeking group originates a "tragedy of the commons" over fiscal resources that make the borrower economy to show collective fiscal impatience. External creditors envision that impatience and require higher interest rates for buying bonds, exacerbating the problem of high debt. The high level of interest rates decreases the wealth of the country and endangers its ability to repay the debt. We show that bailout plans, defined as temporary loans with lower than market level interest rates, are not effective in such economies.

Composée de deux parties et de quatre chapitres dans chaque partie, la première partie de la thèse examine la théorie du profit par la consommation nette (théorie-Cn) de George Reisman. La théorie-Cn fournit une grande partie du cadre analytique de Reisman, ainsi que des conclusions normatives sur la justice et la stabilité d'une économie capitaliste de marché libre. Nous examinons la prétention de cette synthèse à réconcilier l'approche classique et la dynamique de phénomènes généraux comme le profit et les salaires, la consommation et l'épargne, l'argent et le crédit. La formulation de cette théorie limite son attention aux coûts des entreprises (monétaire) et les conçoit comme dérivé des dépenses antérieures des entreprises pour des facteurs (main-d'oeuvre et capital), qui à leur tour sont financées par l'épargne. Contrairement à la théorie keynésienne, ici la consommation supplémentaire n'est ni suffisante ni nécessaire pour créer une demande supplémentaire de facteurs : elle y est antinomique. Des économies supplémentaires et des dépenses de production sont nécessaires, mais non suffisantes, pour qu'il y ait augmentation équivalente de la demande de facteurs de production. Et puisque les ventes englobent à la fois la demande de produits de consommation et la demande de facteurs de production des entreprises, les coûts ont tendance à être en retard sur les ventes. La différence qui en résulte entre les ventes et les coûts est égale au montant (global) et nous mène au taux de profit (moyen) gagné par les entreprises. / Consisting of two parts and four chapters in each part, the dissertation, in the first part, sets forth and reviews the logical substance of George Reisman's netconsumption theory of profit (nc-theory). The nc-theory provides much of both Reisman's overall analytical framework as well as normative conclusions about the justice and stability of a free-market, capitalist economy. We examine the synthesis' claim to have reconciled the classical approach with the Austrian/neoclassical emphasis of the primacy of behavioral foundations of all economic phenomena. The theory's formula restricts its attention to business (money) costs and conceives of them as derivative of prior business expenditure for factors (labor and capital goods), which in turn is financed out of saving. In contrast to Keynesian economic where spending of any kind is sufficient to finance the demand for input factors, in the nc-theory additional consumption is neither sufficient nor necessary to create additional factor demand; indeed, it is positively antithetical to it. Additional saving and productive expenditure are a necessary, though not sufficient, condition for an equivalent increase in demand for input factors. And since sales encompass both the demand for consumers' goods as well as business' demand for factors while costs are a function of productive expenditure by business only, costs tend to lag behind sales. The resultant difference between sales and costs equals (aggregate) amount and provides the means to arrive at (average) rate of profit earned by business in total.

M.Com. (Financial Economics) / The use of the yield curve spread in forecasting future recessions has become popular as it is a simple tool to use, due to the positive relationship between the yield curve spread and economic activity. The inversion or flattening of the yield curve spread usually signals a future recession. This has been the subject of several studies both internationally and in South Africa. This research provides an analysis of the yield curve spread’s ability to accurately forecast future recessions in South Africa through the use of three probit models. Furthermore, the yield curve spread’s ability to estimate is compared to that of share prices, using the JSE All Share Index. This research extends on studies by Khomo and Aziakpono (2006) and Clay and Keeton (2011), who used the static and dynamic probit models to forecast recessions in South Africa. In addition to these models, this research also makes use of the business cycle conditionally independent probit model for estimation. The findings suggest that share prices improve the yield curve spread’s ability to forecast recessions when estimating using the static probit model; however when comparing the results between the financial variables, the yield curve spread continues to produce the best forecast of recessions in South Africa. These results support those of Khomo and Aziakpono (2006) and Clay and Keeton (2011). Of the three probit models, the dynamic probit model estimate using the yield curve spread produced the most accurate forecast of recessions one quarter ahead. Therefore, the yield curve spread continues to provide the most accurate forecast of recessions in South Africa.

Cette thèse présente trois essais en macroéconométrie appliquée. Leur dénominateur commun est l’emploi conjoint de méthodes non-linéaires et bayesiennes afin de rendre compte de cycles économiques. Le choix de ces méthodes s’appuie sur deux constats fondamentaux. Premièrement, la plupart des séries temporelles macroéconomiques et financières présentent de soudains changements dans leur comportement résultant d’évènements tels que les crises financières, les changements brutaux de politiques fiscales et monétaires, l’alternance de phases d’expansion et de récession, etc. La prise en compte de ces changements discontinus et occasionnels nécessite une modélisation non-linéaire, c’est-à-dire la conception de modèles dont les paramètres évoluent au cours du temps. Deuxièmement, l’analyse économétrique moderne des modèles à vecteur autorégressif (VAR) et des modèles dynamiques et stochastiques d’équilibre général (DSGE) soulève de nombreux problèmes auxquels peut répondre un cadre bayesien. Tout d’abord, les modèles DSGE correspondent à une représentation partielle et simplifiée de la réalité, cette dernière étant généralement trop compliquée pour être formalisée ou trop coûteuse en termes de ressources computationnelles ou intellectuelles. Cette mauvaise spécification, inhérente aux modèles DSGE, s’ajoute en général à une pénurie de données informatives nécessaires à l’obtention de réponses précises. Dans un cadre bayesien, le praticien introduit une information supplémentaire, une distribution a priori, qui rend l’inférence des paramètres du modèle plus accessible aux macroéconomistes. S’agissant des modèles DSGE, la distribution a priori, construite à partir d’informations microéconomiques telles que les élasticités agrégées ou les taux de croissance moyens des variables macroéconomiques à long terme, permet de déplacer la fonction de vraisemblance du modèle dans les régions économiquement interprétables de l’espace de paramètres. Ceci, en vue de parvenir à une interprétation raisonnable des paramètres structurels du modèle, rendant ainsi l’inférence beaucoup plus précise. [...] / This dissertation presents three essays in applied macroeconometrics. Their common denominator is the use of Bayesian and non-linear methods to study of business cycle fluctuations. The first chapter of this dissertation revisits the issue of whether business cycles with financial crises are different, in the euro area since 1999. To do so, I fit a vector autoregression in which equation coefficients and structural disturbance variances are allowed to change over time according to Markov-switching processes. I show that financial crises have been characterized by changes not only in the variances of structural shocks, but also in the predictable and systematic part of the financial sector. By predictable and systematic part of the financial sector, I mean equation coefficients that describe the financial behavior of the system. I then examine the role of financial sector in financial crises and standard business-cycle fluctuations. The evidence indicates that the relative importance of financial shocks (“non-systematic part”) is significantly higher in periods of financial distress than in non-distress periods, but the transmission of these shocks to the economy appears linear over time. Counterfactual analyses suggest that the systematic part of financial sector accounted for up to 2 and 4 percentage points of output growth drops during the downturn in 2001-2003 and the two recessions, respectively. The second chapter examines the quantitative sources of changes in the macroeconomic volatility of the euro area since 1985. To do so, I estimate a variety of large-scale Dynamic Stochastic General Equilibrium (DSGE) models in which structural disturbance variances are allowed to change according to a Markov-switching process. The empirical results show that the best-fit model is one in which all shock variances are allowed to switch between a low- and a high-volatility regime, where regime changes in the volatilities of structural shocks are synchronized. The highvolatility regime was in place during the pre-euro period, while the low-volatility regime has been prevailed since the euro introduction. Although the size of different types of shock differs between the two shock regimes, their relative importance remains unchanged. Neutral technology shocks and shocks to the marginal efficiency of investment are the dominant sources of business cycle fluctuations. Moreover, the decline in the variance of investment shocks coincide remarkably well with the development of the European financial market that has increased access to credit by firms and households, suggesting that investment shocks reflect shocks originating in the financial system. [...]

Desde o trabalho de Lucas (1987), diversos autores se dedicaram a medir o custo de bem-estar dos ciclos econômicos. Embora a literatura desse tema para os Estados Unidos seja extensa, há poucos estudos para países em desenvolvimento. O objetivo do presente trabalho é estimar este custo para uma amostra de países latino-americanos e compará-lo ao custo obtido dos dados da economia dos Estados Unidos. É utilizada a metodologia proposta por Reis (2009), que assume que o consumo segue um processo ARIMA(p,1,q), que tem as ordens selecionadas com base no critério de informação bayesiano. Os resultados obtidos indicam que, sob todos os processos assumidos para as série de consumo, os países latino-americanos possuem custo consideravelmente maior do que o dos Estados Unidos. Entretanto, quando se assume a estrutura ARIMA, a diferença entre os custos dos países latino-americanos e dos Estados Unidos é a menor. / Since the work of Lucas (1987), several authors have dedicated to measure the welfare costs of business cycle. Although the literature on this subject is extensive for the United States, few studies were made considering developing countries data. The objective of this study is to estimate this cost for a sample of Latin American countries and compare it to the cost obtained from the US economy data. The methodology proposed by Reis (2009) is used. It assumes that consumption follows an ARIMA (p,1,q) model, and the p and q orders are selected based on the Bayesian information criterion. The results indicate that, in all processes assumed for the consumption series, Latin American countries have considerably higher welfare costs than the US. However, when the ARIMA structure is assumed, the difference between the costs of Latin American countries and the United States is the smallest.

The present work uses statistical mechanics tools to investigate the dynamics of markets, prices, trades and wealth distribution. We studied the evolution of market dynamics in different stages of historical development by analyzing commodity prices from two distinct periods : ancient Babylon, and medieval and early modern England. We find that the first-digit distributrions of both Babylon and England commodity prices follow Benford's Law, indicating that the data represent empirical observations typically arising from a free market. Further, we find that the normalized prices of both Babylon and England agricultural commodities are characterized by stretched exponential distributions, and exhibit persistent correlations of a power law type over long periods of up to several centuries, in contrast to contemporary markets. Our findings suggest that similar market interactions may underlie the dynamics of ancient agricultural commodity prices, and that these interactions may remain stable across centuries. To further investigate the dynamics of markets, we present the analogy between transfers of money between individuals and the transfer of energy through particle collisions by means of the kinetic theory of gases. We introduce a theoretical framework of how micro rules of trading lead to the emergence of income and wealth distribution. Particularly, we study the effects of different types of distribution of savings/investments among individuals in a society and different welfare/subsidies redistribution policies. Results show that while considering savings propensities, the models approach empirical distributions of wealth quite well. The effect of redistribution better captures specific features of the distributions which earlier models failed to do. Moreover, the models still preserve the exponential decay observed in empirical income distributions reported by tax data and surveys. / by Natalia E. Romero. / Vita. / Thesis (Ph.D.)--Florida Atlantic University, 2012. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2012. Mode of access: World Wide Web.

Submitted by Mariana Dornelles Vargas (marianadv) on 2015-03-31T19:04:12Z No. of bitstreams: 1 indicadores_antecedentes.pdf: 1667232 bytes, checksum: e9ef01f6125796d79eae31ad1c8a72ca (MD5) / Made available in DSpace on 2015-03-31T19:04:12Z (GMT). No. of bitstreams: 1 indicadores_antecedentes.pdf: 1667232 bytes, checksum: e9ef01f6125796d79eae31ad1c8a72ca (MD5) Previous issue date: 2010-09-16 / Nenhuma / Este estudo tem por objetivo construir um sistema de indicadores antecedentes compostos com freqüência mensal para a atividade econômica do estado do Rio Grande do Sul. Utilizou-se o conceito do ciclo de crescimento, baseado metodologia proposta pela OECD. A variável proxy para o nível de atividade utilizada foi a produção industrial do estado. Para a extração dos componentes cíclicos foram utilizados tanto o filtro de Hodrick-Prescott (HP) quanto filtro de Christiano-Fitzgerald (CF). Partindo de um universo de 456 séries, dez foram selecionadas para comporem os indicadores através de testes de correlação cruzada, causalidade de Granger e do algoritmo de Bry-Boschan (1971). Foram construídos indicadores de curto-prazo, indicadores de longo-prazo e um modelo misto. Os indicadores de longo-prazo se mostraram demasiadamente instáveis, tal característica indesejável foi transmitida para os indicadores mistos. Já os indicares de curto-prazo apresentaram desempenho satisfatório. / This study aims to build a monthly system of composite leading indicators for the economic activity in the state of Rio Grande do Sul. We used the concept of the growth cycle, based on the methodology proposed by the OECD. The proxy variable for the level of activity used was the industrial production of the state. For extracting cyclical components were used both the Hodrick-Prescott (HP) filter and Christiano-Fitzgerald (CF). Starting from a universe of 456 series, by testing cross-correlation, Granger causality and the using the Bry Boschan(1971) algorithm, ten series were selected to compose the indicators. We constructed short and long-term indicators and a mixed model. The long-term indicators showed to be too unstable, this undesirable trait was transmitted to the mixed indicators. The short-term indicators showed satisfactory performance.

Among the parametric nonlinear time series model families, the smooth transition regression (STR) model has recently received attention in the literature. The considerations in this dissertation focus on the univariate special case of this model, the smooth transition autoregression (STAR) model, although large parts of the discussion can be easily generalised to the more general STR case. Many nonlinear univariate time series models can be described as consisting of a number of regimes, each one corresponding to a linear autoregressive parametrisation, between which the process switches. In the STAR models, as opposed to certain other popular models involving multiple regimes, the transition between the extreme regimes is smooth and assumed to be characterised by a bounded continuous function of a transition variable. The transition variable, in turn, may be a lagged value of the variable in the model, or another stochastic or deterministic observable variable. A number of other commonly discussed nonlinear autoregressive models can be viewed as special or limiting cases of the STAR model. The applications presented in the first two chapters of this dissertation, Chapter I: Another look at Swedish Business Cycles, 1861-1988 Chapter II: Modelling asymmetries and moving equilibria in unemployment rates, make use of STAR models. In these two studies, STAR models are used to provide insight into dynamic properties of the time series which cannot be be properly characterised by linear time series models, and which thereby may be obscured by estimating only a linear model in cases where linearity would be rejected if tested. The applications being of interest in their own right, an important common objective of these two chapters is also to develop, suggest, and give examples of various methods that may be of use in discussing the dynamic properties of estimated STAR models in general.Chapter III, Testing linearity against smooth transition autoregression using a parametric bootstrap, reports the result of a small simulation study considering a new test of linearity against STAR based on bootstrap methodology. / <p>Diss. Stockholm : Handelshögskolan, 1999</p>

This thesis analyzes the interactions between domestic credit expansion, capital inflows and current account imbalances in a framework of empirical models carried out for Brazil and Turkey. In this context, three vector autoregressive (VAR) models are specified covering the time period between January 2002 and March 2012 for Brazil and 2003 January and 2012 March for Turkey. Real effective exchange rate (REER) and relative yield spreads formed with country specific Embi + indexes are also included in the estimations of the models. The analyses of the models show that capital inflows in these countries trigger the domestic credit expansion which create an upward pressure on import demands and affect current account balances negatively. The results support the implementation of domestic credit tightening policies to reduce the current account imbalances in these countries.