Determinants of co-movement and of lead and lag behavior of business cycles in the Eurozone

In this paper we study business cycle correlations in the Eurozone and its determinants. Additionally, we also analyze the determinants of the lead and lag behavior of business cycles in the Eurozone. We explore the relevance, in the Eurozone context, using GDP and employment as the business cycle measures, of the determinants of business cycle synchronization identified in the literature, namely bilateral trade intensity, dissimilarity of labor market rigidity, dissimilarity in industrial structures, financial openness, and foreign direct investment relations. We estimate a simultaneous 4-equations model by Ordinary Least Squares (OLS) and three-stage least square to investigate empirically the above-mentioned determinants of business cycle correlation. Bilateral trade relations present a positive influence on business cycle correlations, while the dissimilarity of labor market rigidity presents a negative influence. The rest of the above-mentioned variables are non-significant. These results are robust to the use of the Hodrick–Prescott-filter and first differences as the de-trending methods, as well as the use of GDP as the business cycle measure, excluding the financial crisis years (2008 and 2009). Results for employment as the business cycle measure are in contrast with the previous ones, and found industrial dissimilarity to be the relevant variable to determine business cycles synchronization. In what concerns the determinants of the lead and lag behavior, results show that the member states of the Eurozone that usually lead the cycle are the ones that are wealthier, with strict employment legislation, more specialized in construction and finance sectors, and more prone to international capital movements. Differences in the determinants between contemporaneous business cycles and lead and lag behavior of business cycles are especially important for policy-makers in the Eurozone to know about, in particular if asymmetric shocks between countries are set in place.     

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.     

Endogenous business cycles and Harrodian instability in an agent-based model

The article presents an original stock-flow consistent macroeconomic agent-based model with the aim to reexamine Harrod’s instability principle as an explanatory element of macroeconomic dynamics. The main findings are that bottom-up economic models can be subject to Harrodian instability and can produce endogenous cycles without introducing innovation waves, monetary wage spirals, or financial instability. Upward instability is stopped by the ceiling of full employment, and downward instability can be tamed by introducing an autonomous expenditure that feeds aggregate demand.     

Growth and welfare effects of business cycles in economies with idiosyncratic human capital risk

This paper uses a tractable macroeconomic model with idiosyncratic human capital risk and incomplete markets to analyze the growth and welfare effects of business cycles. The analysis is based on the assumption that the elimination of business cycles eliminates the variation in idiosyncratic risk. The paper shows that a reduction in the variation in idiosyncratic risk decreases the ratio of physical to human capital and increases the total investment return and welfare. If the degree of risk aversion is less than or equal to one, then economic growth is enhanced. This paper also provides a quantitative assessment of the macroeconomic effects of business cycles based on a calibrated version of the model. Even for relatively small degrees of risk aversion (around one) the model implies that the elimination of business cycles has substantial effects on investment in physical and human capital, economic growth, and welfare.     

Capacity constraints, asymmetries, and the business cycle

We study how an occasionally binding capacity constraint affects the properties of business cycles. A real business cycle model is constructed where production takes place at individual plants and the number of plants operated varies over the cycle. The capacity constraint binds in states where all plants are operated. We derive the aggregate production function for this economy, which turns out to differ from the standard Cobb–Douglas function while retaining its desirable properties. The business cycle features of this one-sector growth model are similar to those of a standard real business cycle model in most respects. Our model does, however, display some properties of actual economies that standard models do not. In particular, business cycles in our model are asymmetric—troughs are deeper on average than peaks are tall. Also, labor's share of income is counter-cyclical, as it is in US data.     

Too much of a good thing: Endogenous business cycles generated by bounded technological progress

Following Jones and Williams [Jones, C.I., Williams, J., 2000. Too much of a good thing? The economics of investment in R&D. Journal of Economic Growth vol. 5 (no. 1), 65–85], we assume that R&D is simultaneously subject to positive and to negative external effects (e.g., the non-rival nature of technology conflicts with congestion externalities). This observation allows to conceive an economy where two R&D sectors evolve without departing significantly from each other in terms of their productive results (society tends to penalize imbalances in technical progress, making negative external effects to appear associated to a sector when this outstands relatively to the other sector; the second sector, in turn, will be subject to positive externalities that reflect a catching up effect). The proposed framework, when associated to a growth setup, is able to replicate the existence of endogenous fluctuations and, therefore, it intends to be a contribution to the literature on endogenous business cycles.     

New directions in business cycle research and financial analysis

This paper serves as a partial introduction to and survey of the literature on Markov-switching models. We review the history of this class of models, describe their mathematical structure, and exposit the basic ideas behind estimation and inference. The paper also describes how the approach can be extended in a variety of directions, such as non-Gaussian distributions, time-varying transition probabilities, vector processes, state-space and GARCH models, and surveys recent methodological advances. The contributions of the other papers in this volume are reviewed. A final section offers conclusions and implications for policy. First Version Received: August 2001/Final Version Received: October 2001     

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.     

Nonlinear dynamism of innovation and business cycles

The aim of this paper is to describe the nonlinear dynamism of innovation and to clarify the role of innovation for economic development in terms of Kondratiev business cycles, especially the causal relation of the bubble economy and depressions with innovations. Any paradigm of technological innovation develops within a definite time span reaching maturity. This nonlinear nature clarifies many characteristic features of innovation. Schumpeters innovation theory on business cycles is examined through this dynamism. Trunk innovation is defined as that which plays a decisive role in building infrastructures and inducing subsequent innovations. Every innovation has its own technological development period just before the innovation diffusion. The emergence of new markets can be estimated by chasing the ongoing technologies.JEL Classification: E32, L16, O11, O14, O30Paper presented at the 9th Conference of the International J.A. Schumpeter Society, Gainesville, Florida, USA.Previous affiliation was Ryutsu Kagaku University, Faculty of Information Science, Kobe, Japan.     

Asymmetric information, financial intermediation, and business cycles

Summary. This incorporates a debt contracting problem with asymmetric information into a standard monetary business cycle model. The model incorporates a limited participation assumption in order to induce a liquidity effect of monetary shocks and propagate monetary disturbances. The model economy shows that a positive money supply shock generates a decrease in nominal interest rates and an increase in output level. Asymmetric information amplifies the response of capital to the money supply shock, but does not propagate them in other ways. When the monetary shock is an innovation in reserve requirements, it induces a persistent response of the economy. Received: March 20, 1998; revised version: 1 April 1998     

Variable rational partisan cycles and electoral uncertainty

Variable rational partisan theory of political business cycles suggests differences in inflation under left-wing and right-wing governments. Fluctuations of economic activity result from uncertainty about the electoral outcome and the exact timing of elections. However, the core hypothesis that post-electoral booms and recessions depend upon the degree of electoral uncertainty has rarely been tested. Using polling data, we provide empirical evidence in favor of the hypothesis of the existence of variable rational partisan cycles.     

Common serial correlation and common business cycles: A cautious note

This paper examines the frequency-domain implications of the serial correlation common feature in order to evaluate its merits as an indicator of common business cycles among economic variables. It is shown that the presence of the serial correlation common feature in the first differences of a set of I(1) time series is not informative for the degree and the lead-lag structure of their comovements at the business cycle frequencies. First version received: October 1997/Final version received: December 1998     

Consumption,wealth and business cycles in Germany

This paper studies the long-run relationship between consumption, asset wealth and income—the consumption–wealth ratio—based on German data from 1980 to 2003. We find that departures from this long-run relationship mainly predict adjustments in income. The German consumption–wealth ratio also contains considerable forecasting power for a range of business cycle indicators, including the unemployment rate. This finding is in contrast to earlier studies for some of the Anglo-Saxon economies that have shown that the consumption–wealth ratio reverts to its long-run mean mainly through subsequent adjustments in asset prices. While the German consumption wealth ratio contains little information about future changes in German asset prices, we report that the U.S. consumption–wealth ratio has considerable forecasting power for the German stock market. One explanation of these findings is that in Germany—due to structural differences in the financial and pension systems—the share of publicly traded equity in aggregate household wealth is much smaller than in the Anglo-Saxon countries. We discuss the implications of our results for the measurement of a potential wealth effect on consumption. The views expressed in this paper are those of the authors and do not reflect the position of the Deutsche Bundesbank. We gratefully acknowledge comments and suggestions from an anonymous referee as well as from Heinz Herrmann, Helmut Lütkepohl, the editor, Baldev Raj, Burkhard Raunig, Monika Schnitzer, Harald Uhlig and Christian Upper. We also benefitted from comments by seminar participants at the ECB, the Deutsche Bundesbank, the CESifo Macro, Money and International Finance Area Conference 2005, the EEA 2005 annual congress and at the 2005 IAEA Meetings. Last but not least, we would like to thank Mark Weth for very useful information concerning the construction of the financial wealth data. Hoffmann’s work on this paper is also part of the project The International Allocation of Risk funded by Deutsche Forschungsgemeinschaft in the framework of SFB 475. Responsibility for any remaining errors and shortcomings is entirely our own.     

Nominal wage contracts, labor adjustment costs and the business cycle

Previous work of monetary dynamic stochastic general equilibrium models with nominal rigidity a la Taylor, particularly the Cho–Cooley model, was abandoned in favor of the New-Keynesian analysis due to the model's failure to deliver business cycle statistics that match the U.S. economy along some key dimensions. In this paper, we take a step in revitalizing the Cho–Cooley avenue of research. We add empirically plausible labor adjustment costs into a model with nominal wage rigidity and find that with labor adjustment costs our model is able to overcome some of the shortcomings otherwise present in the Cho–Cooley framework, specifically high standard deviations of real variables and a countercyclical productivity.     

The changing role of house price dynamics over the business cycle

In this paper, we attempt to analyse the relationship between house price dynamics and the business cycle. Employing a time-varying transition probability Markov switching framework, we provide empirical evidence that house price growth may prove a useful leading indicator for turning point detection. Focusing on three countries, the US, UK and Spain, we furthermore provide evidence that although potentially informative from an overall perspective in business cycle modelling, the significance of signals contained in house prices may not be symmetric across the identified high growth and low growth states. In addition, we suggest a possible range of values for house price deflation which may trigger a recession the following period.     

Why have business cycle fluctuations become less volatile?

This paper shows that a standard Real Business Cycle model driven by productivity shocks can successfully account for the 50% decline in cyclical volatility of output, its components, and labor input that has occurred since 1983. The model is successful because the volatility of productivity shocks has also declined significantly over the same time period. We then investigate whether the decline in the volatility of the Solow Residual is due to changes in the volatility of some other shock operating through a channel that is absent in the standard model. We therefore develop a model with variable capacity and labor utilization. We investigate whether government spending shocks, shocks that affect the household’s first order condition for labor, and shocks that affect the household’s first order condition for saving can plausibly account for the change in TFP volatility and in the volatility of output, its components, and labor. We find that none of these shocks are able to do this. This suggests that successfully accounting for the post-1983 decline in business cycle volatility requires a change in the volatility of a productivity-like shock operating within a standard growth model. We thank Stephen Parente, Ed Prescott, John Taylor, and two anonymous referees for helpful comments and suggestions.     

Income mobility and risk during the business cycle: Comparing adjustments in labour markets in two Latin-American countries

This paper uses panel data from Argentina and Mexico and a new measure of mobility ‐ the Gini index of mobility ‐ to answer three questions. First, is there a trend towards rising labour income mobility over time in these two countries? Second, is there a relationship between income mobility and growth common to both countries, or does that relationship depend on the institutional features of each country’s labour markets? Third, do we observe more labour income mobility within some groups such as the young and the less educated than within other groups? JEL classification: D31, E32, J63.     

Graphical causal models and VARs: an empirical assessment of the real business cycles hypothesis

This paper assesses the empirical plausibility of the real business cycle view that shocks to real variables are the dominant sources of economic fluctuations and that monetary policy shocks play an insignificant role in determining the behavior of real variables. I reconsider the vector autoregressive model of King et al. (Am Econ Rev 81:819–840, 1991), but propose an alternative identification method, based on graphical causal models. This method selects the contemporaneous causal structure using the information incorporated in the partial correlations among the residuals. The residuals orthogonalization which follows and the study of the impulse response functions confirm the results of King et al. (Am Econ Rev 81:819–840, 1991): permanent productivity shocks are not the dominant sources of aggregate fluctuations in US economy. I would like to thank Peter Spirtes, Marco Lippi, and Clark Glymour for helpful comments on early versions of the paper. I am also grateful to Valentina Corradi for providing me with an updated version of the King et al. (1991) data set. The usual disclaimer applies.     

Classical and modern business cycle measurement: The European case

This paper intends to harmonize two different approaches employed in the analysis of business cycles and, in doing so, it retrieves the stylized facts of the business cycle in Europe. We start with the classical approach proposed in Burns and Mitchell (1946) of dating and analyzing the business cycle. The stylized facts retrieved are commented and compared to those obtained by Harding and Pagan (2002) for the U.S.. Two conclusions can be extracted from the results: a) though the turning points obtained for individual countries seem to cluster and would suggest the idea of a common cycle, there are relevant differences in the stylized facts characterizing the business cycle in the individual European economies under analysis; b) moreover, we find relevant differences in the business cycle stylized facts of the European countries and the U.S., mostly in terms of the duration, the amplitude of the cycle and the shape of the recovery. We then adopt the modern alternative: the Markov-switching vector autoregression (MS-VAR). The models regime probabilities provide an optimal statistical inference of the turning point of the European business cycle. For assessing the capacity of the parametric approach to generate the stylized facts of the classical cycle in Europe, the stylized facts of the original data are compared to those of simulated data. Contrary to the results reported by Harding and Pagan (2002) , we show that the MS-VAR model is a good candidate to be used as an statistical instrument to improve the understanding of the business cycle.JEL Classification: E32, F43, F47, C32We are grateful to Mike Artis, Mike Clements and Adrian Pagan for useful comments and discussions. Financial support from the UK Economic and Social Research Council under grant L116251015 is gratefully acknowledged by the first author. The research of the second author was supported through a European Community Marie Curie Fellowship, contract HPMF-CT-2000-00761. Corresponding author: Juan Toro