Common socio-economic cycle periods

We present a meta-analysis of cycle periods in historical socio-economic data found in the K-wave literature. The literature on stochastic and deterministic cycles in variables such as the consumer price index, employment, interest rates, commodity prices, GDP, war and hegemony is huge and scattered. However our meta-analysis reveals various commonalities. Our key finding is that there is a common set of cycle periods that is common across most socio-economic variables.     

Cycles in basic innovations

Basic innovations are believed to be one of the drivers of economic growth. In this paper we examine if cycle periods found for economic data correspond with cycles in basic innovations. For an annual time series of count data on innovations covering 1764-1976, we fit a harmonic Poisson regression model. We find the presence of multiple cycles with periods 5, 13, 24, 34 and 61, and these show a remarkable resemblance with commonly found economic cycles.     

Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence

This paper deals with transition mechanisms through which financial market conditions affect real economic growth in the Euro area. The informational content of financial variables for predicting real economic growth is assessed, allowing for asymmetric responses to shocks. A nonlinear framework is developed based on a smooth transition model for which the effects of shocks can vary across business cycles when financial indicators modify both the endogenous and state variables. Global financial variables are shown to significantly affect real growth in the Euro area, particularly during periods of recession. Changes in stock market index and yield slope have asymmetric effects on real growth. In recessionary periods, the slope of the US yield curve does not have a significant impact on growth in the Euro area.     

Measuring major and minor cycles in univariate economic time series

The coexistence of cycles with different periods complicates the assessment of the current macroeconomic conditions. In order to overcome this problem, a modeling of multiple autoregressive processes in a univariate time series is presented. In the proposed model, individual autoregressive processes are assumed to be mutually uncorrelated, and the number of individual autoregressive processes is determined using information criteria. Simulation results show that the proposed procedure is sufficiently applicable for measuring major and minor cycles. Empirical applications suggest the usefulness and limitations of the proposed method.     

Imperfectly competitive cycles with Keynesian and Walrasian features

We consider a multi-sector overlapping generations model with oligopolistic firms in the output markets and wage-setting trade unions in the labour markets. A coordination problem between firms creates multiple temporary equilibria which are either Walrasian or of the Keynesian unemployment type. There exist many deterministic and stochastic equilibrium cycles fluctuating between Keynesian recession and Walrasian boom periods with arbitrarily long phases in each regime. The cycles are in accordance with certain empirical regularities. Money is neutral and superneutral, but appropriate countercyclical fiscal policies stabilize the cycles in a textbook Keynesian way.     

Global financial cycle and Brazil’s financial integration

ABSTRACT

Recent studies have discussed the influence of the global financial cycle on capital flows to emerging and developing countries. This paper evaluates the relationship between the greater degree of financial integration, and macroeconomic performance over the last two decades in Brazil. The literature has highlighted the Brazilian experience as being paradigmatic among emerging countries regarding the relationship between financial integration and regulation of capital flows to deal with boom and bust cycles. Methodologically, we employ a vector autoregressive model with error correction that allows us to evaluate the cointegration between the variables. Our main hypothesis is that a greater degree of financial integration is associated with negative developments in variables such as gross domestic product, country risk, interest rates, and exchange rate volatility. In addition, this study presents a further contribution by observing the existence of the interaction between the consequences of financial integration and the global financial cycle. More specifically, we found that: (i) an increase in the degree of financial integration generates deeper effects in downward periods of the global financial cycle; and (ii) a decline in that cycle generates greater impacts when a higher degree of financial integration is present.     

Two-period cycles in a three-period overlapping generations model

We study the properties of two-period monetary cycles in simple pure exchange overlapping generations economies in which the households live for three periods. We demonstrate that these economies can support cycles under a much broader—and, arguably, more plausible—range of assumptions than the analogous two-period economies. We show that economies that fail the well-known Grandmont (Econometrica 53 (1985) 995) condition can have cycles, and that economies that satisfy the condition can fail to have cycles. In addition, we show that economies can have monetary cycles when they do not have conventional monetary steady states, and when aggregate demand for assets is not decreasing in the real return rate at a gross real rate of unity.     

Multiple steady states,indeterminacy, and cycles in a basic model of endogenous growth

The goal of this paper is to demonstrate that a basic model of endogenous growth with learning by doing may produce a rich array of outcomes. Starting point of our analysis is the Romer (1986a) approach. In contrast to Romer, however, we assume that one unit of investment shows different effects concerning the building up of physical and human capital, so that these variables cannot be merged into one single variable. With this assumption, it can be shown that multiple steady states, indeterminacy of equilibria, and persistent cycles may result in our model.     

Detecting hot and cold cycles using a Markov regime switching model—Evidence from the Chinese A-share IPO market

This paper focuses on detecting hot and cold IPO cycles in the Chinese A-share market using a Markov regime switching model. We introduce a set of observations to measure IPO activities, which include numbers of IPOs issued, levels of underpricing, market conditions and duration time from prospectus and listing, and thus establish a model to estimate these activities' average performance in hot and cold periods respectively. It is found that a hot period is related with an abundant supply of IPOs, high levels of underpricing, positive market conditions and short waiting time to listing after prospectus issue. Further, this paper depicts the turning points of hot and cold periods across the period from 1994 to 2005 for each observation. The cycles detected by the number of IPOs per month are the benchmark and then these cycles' robustness is tested by the other observations.     

On the equivalence between the overlapping-generations model and cyclical general-equilibrium models

We show that equilibrium cycles in an overlapping-generations model are equivalent to asymmetric equilibria in a general-equilibrium model. We use this equivalence to find equilibrium cycles in the overlapping-generations model with two and three generations, respectively. For the example with two generations we show that for certain parameter values cycles of all periods occur.     

The Productivity Slowdown Puzzle. Technological and Non-technological Shocks in the Labor Market

Abstract

In this paper we examine the relationships between business cycles in the G7 countries. We focus on whether recessionary periods in one country are independent of the timing of recessions in other countries in the G7, using three different methods for dating recessions. We find that the evidence is mixed on whether phases of the business cycle in North America and in European countries are independent, or whether there is a common phase structure in the business cycle across all the G7 economies. NBER dates suggest that business cycles are synchronised, while other methods for generating business cycle chronologies are more consistent with regional, rather than international cycles. We also find mixed evidence on whether the UK is synchronised with European countries, while Japan quite clearly has the cycle that is most independent of other G7 countries.     

Determinants of international transmission of business cycles to Turkish economy

This study aims to investigate the channels through which international business cycles are transmitted to Turkish economy. Our analysis follows two steps: i) business cycle transmission is measured using Longest Common Subsequence (LCS) method, a pattern recognition algorithm that accounts for the nonlinear and time-varying nature of business cycles and ii) the potential mechanisms of propagation of international business cycles are examined by specifying a panel regression model in which the LCS measure of synchronization is used as the dependent variable. Applying several panel estimation methods to the bilateral data from 22 countries over the 1998–2009 periods, we find that both trade and financial similarities are significant in the transmission of business cycles to Turkish economy. Especially, the results highlight the role of trade integration indicating that Turkish business cycles are closely linked with the business cycles of the members of European Custom Union.     

A fractionally cointegrated VAR analysis of economic voting and political support

We use a fractionally cointegrated vector autoregressive model to examine the relationship between Canadian political support and macroeconomic conditions. This model is well suited for the analysis because it allows multiple fractional time series and admits simple asymptotic inference for the model parameters and tests of the hypotheses of interest. In the long‐run equilibrium, we find that support for the Progressive Conservative Party was higher during periods of high interest rates and low unemployment, while support for the Liberal Party was higher during periods of low interest rates and high unemployment. We also test and reject the notion that party support is driven only by relative (to the United States) economic performance. Indeed, our findings suggest that US macroeconomic variables do not enter the long‐run equilibrium of Canadian economic voting (political opinion poll support) at all.     

The financial cycles in four East Asian economies

This paper characterizes proxy measures of financial cycles using available data on four East Asian economies, viz., Hong Kong, Malaysia, the Philippines and Thailand. Spectral analysis is adopted to characterize the financial cycles and these cycles are compared with the business cycles of the four East Asian economies. The empirical findings indicated that with the exception of the equity price growth in Hong Kong, the period of the proxy measures for financial cycles is slightly longer than the period of the business cycle. More to the point, there is no evidence to show that the period of the proxy measures for financial cycles in these economies are operating at low frequencies similar to the period of the cycles of between 8 to 32 years observed for advanced economies such as the US, UK and Germany. Taking one step further, the paper finds that the financial cycles of these four economies are better captured by a band-pass filter estimated using the periods obtained in the paper as opposed to using long period cycles of between 8 to 32 years. These findings imply that one needs to be careful in making an a priori assumption on the frequency range the financial cycle is believed to operate.     

Choosing sides in the trilemma: international financial cycles and structural change in developing economies

ABSTRACT

This paper analyzes the impact of international financial cycles on structural change in developing economies. It is argued that the impact of these cycles depends on the specific combination of macroeconomic and industrial policies adopted by the developing economy. The cases of Brazil and Argentina are contrasted with those of Korea and China. In the Asian economies, macroeconomic policy has been a complementary tool along with industrial policy to foster the diversification of production and capabilities. Inversely, in the case of the Latin American countries, long periods of real exchange rate (RER) appreciation, combined with the weaknesses (or absence) of industrial policies, contributed to the loss of capabilities and lagging behind.     

The influence of money and the rate of interest on the rate of inflation in a financially repressed economy: the case of Turkey

In this paper we discuss a recent paper by Stephen E. Haynes in which he relates electoral cycles in political support to electoral cycles in economic variables. Haynes finds that the cycle in support for Republican presidents is explained by the cycle in economic variables, whereas the cycle in support for Democratic presidents is not. In our opinion this shortcoming is due to his specification of the popularity function. Haynes estimates a popularity function which incorporates the notion that voters reward the incumbent for favourable outcomes (score hypothesis). Our popularity function combines the score hypothesis and the notion that voters cast their ballots for the party that best fits the current economic situation (issue hypothesis). We show that the electoral cycle in popularity of both Republican and Democratic presidents is explained very well by the cycle in economic variables.     

Multivariate Markov Switching Common Factor Models for the UK

We estimate a model that incorporates two key features of business cycles, comovement among economic variables and switching between regimes of boom and slump, to quarterly UK data for the last four decades. A common factor, interpreted as a composite indicator of coincident variables, and estimates of turning points from one regime to the other, are extracted from the data by using the Kalman filter and maximum likelihood estimation. Both comovement and regime switching are found to be important features of the UK business cycle. The composite indicator produces a sensible representation of the cycle and the estimated turning points agree fairly well with independently determined chronologies. These estimates are sharper than those produced by a univariate Markov switching model of GDP alone. A fairly typical stylized fact of business cycles is confirmed by this model – recessions are steeper and shorter than recoveries.     

Economies of scale and scope in petroleum refining

Despite evidence that aggregate consumption of complex carbohydrates has risen over the last decade, food consumption surveys suggest that fewer households are consuming less bread, pasta rice, potatoes and corn. This paper estimates systems of complex carbohydrae demand using cross-sectional data from 1977–78 and 1987–88 in order to explain this paradox. Changes in demand that are not explained by changes in prices or income are explained by variations in taste. Because tastes cannot be directly observed, the paper uses a multiple indicator and multiple cause (MIMIC) model to construct a suitable proxy variable. In the MIMIC approach, the ‘indicators’ are residuals from a household demand function that includes prices and incomes as explanatory variables, while household and demograhic proxies are ‘cause’ variables. The objectives in applying the MIMIC model are to determine the effect of consumer tastes on complex carbohydrate demand and, comparing cross-sectional survey data from two different periods, test the hypothesis that these tastes change over time. The data consist of US complex carbohydrate prices and expenditures, taken from the USDA Household Food Consumption Surveys in 1977–78 and 1987–88. The results show that structural changes in demand, or those that are not explained by changes in price, income, or the cause variables, led to an increase in complex carbohydrate demand of 5% from 1977–78 to 1987–88. However, changes in demand explained by the cause variables cause demand to fall by 9%.     

Multi-dimensional risk and the cost of business cycles

This paper analyzes the welfare costs of business cycles when workers face uninsurable idiosyncratic labor income risk. In accordance with the previous literature, this paper decomposes labor income risk into an aggregate and an idiosyncratic component, but in contrast to the previous literature, this paper allows for multiple sources of idiosyncratic labor income risk. Using the multi-dimensional approach to idiosyncratic risk, this paper provides a general characterization of the welfare cost of business cycles when preferences and the (marginal) process of individual labor income in the economy with business cycles are given. The general analysis shows that the introduction of multiple sources of idiosyncratic risk never decreases the cost of business cycles, and strictly increases it if there are cyclical fluctuations across the different sources of risk. This paper also provides a quantitative analysis based on a version of the model that is calibrated to match US labor market data. The quantitative analysis suggests that realistic variations across two particular dimensions of idiosyncratic labor income risk increase the welfare cost of business cycles by a substantial amount.     

Macro-financial linkages and business cycles: A factor-augmented probit approach

In this paper, we analyze macro-financial linkages in the euro area by implementing an innovative factor-augmented probit model estimated using a large database. In particular, our model specification enables the identification of the leading influence of financial variables on euro area business cycles, in addition to the coincident information conveyed by standard macroeconomic variables. We also point out that dynamic factor models lead to more accurate replication of business cycles than static ones.