Measuring Synchronization and Convergence of Business Cycles for the Euro area,UK and US*

This paper investigates business cycle relations among different economies in the Euro area. Cyclical dynamics are explicitly modelled as part of a time series model. We introduce mechanisms that allow for increasing or diminishing phase shifts and for time‐varying association patterns in different cycles. Standard Kalman filter techniques are used to estimate the parameters simultaneously by maximum likelihood. The empirical illustrations are based on gross domestic product (GDP) series of seven European countries that are compared with the GDP series of the Euro area and that of the US. The original integrated time series are band‐pass filtered. We find that there is an increasing resemblance between the business cycle fluctuations of the European countries analysed and those of the Euro area, although with varying patterns.     

Globalization vs. Europeanization: A Business Cycles Race*

This paper examines the relative cyclical affiliation in six industrialized economies. While the broad conclusions are consistent with the existing literature, the proposed empirical framework is not based on correlations and permits the analysis of relative groupwise synchronization under very few assumptions. The results allow us to conclude that an English‐speaking club (Canada, UK, USA) is emerging in the last decades, whereas explicit and formal commitments seem to have had a relatively weaker power in determining Euro‐zone (France, Germany, Italy) business cycle comovements. Altogether, the business cycle race is a cause for concern as regards the entry of the UK into the Euro‐zone.     

Identification of Slowdowns and Accelerations for the Euro Area Economy*

Business cycle analyses have proved to be helpful to practitioners in assessing current economic conditions and anticipating upcoming fluctuations. In this article, we focus on the acceleration cycle in the euro area, namely the peaks and troughs of the growth rate which delimit the slowdown and acceleration phases of the economy. Our aim is twofold: first, we put forward a reference turning point chronology of this cycle on a monthly basis, based on gross domestic product and industrial production indices. We consider both euro area aggregate level and country‐specific cycles for the six main countries of the zone. Second, we come up with a new turning point indicator, based on business surveys carefully watched by central banks and short‐term analysts, to follow in real‐time the fluctuations of the acceleration cycle.     

Are Short‐lived Jobs Stepping Stones to Long‐Lasting Jobs?*

This article assesses whether short‐lived jobs (lasting one quarter or less and involuntarily ending in unemployment) are stepping stones to long‐lasting jobs (enduring 1 year or more) for Belgian long‐term unemployed school‐leavers. We proceed in two steps. First, we estimate labour market trajectories in a multi‐spell duration model that incorporates lagged duration and lagged occurrence dependence. Second, in a simulation we find that (fe)male school‐leavers accepting a short‐lived job are, within 2 years, 13.4 (9.5) percentage points more likely to find a long‐lasting job than in the counterfactual in which they reject short‐lived jobs.     

The Relative Importance of Symmetric and Asymmetric Shocks: The Case of United Kingdom and Euro Area*

We show how a simple model with sign restrictions can be used to identify symmetric and asymmetric supply, demand and monetary policy shocks in an estimated two‐country structural VAR for the UK and Euro area. The results can be used to deal with several issues that are relevant in the optimal currency area literature. We find an important role for symmetric shocks in explaining the variability of the business cycle in both economies. However, the relative importance of asymmetric shocks, being around 20% in the long run, cannot be ignored. Moreover, when we estimate the model for the UK and US, the degree of business cycle synchronization seems to be higher. Finally, we confirm existing evidence of the exchange rate being an independent source of shocks in the economy.     

Estimating DSGE models using seasonally adjusted and unadjusted data

This paper evaluates the common practice of estimating dynamic stochastic general equilibrium (DSGE) models using seasonally adjusted data. The simulation experiment shows that the practice leads to sizable distortions in estimated parameters. This is because the effects of seasonality, which are magnified by the model’s capital accumulation and labor market frictions, are not restricted to the so-called seasonal frequencies but instead are propagated across the entire frequency domain.     

The Impact of the Big 8 Mergers on Market Power: Evidence from the Hong Kong Market

This study examines the impact of the Big 8 mergers on market power in an audit market where the merging firms have little presence. Audit fee changes for each merger participating firm are identified and fee changes for several post‐merger years are examined. The pre‐merger differential market power between the merging and non‐merging long‐established Big 8 firms (Price Waterhouse and KPMG Peat Marwick) in Hong Kong provides a unique opportunity to examine whether the mergers could help the merging firms to increase their market power. The results are consistent with the hypotheses that the audit fees of the merging firms were significantly lower than that of the non‐merging, long‐established Big 8 firms before the mergers, but the audit fees of the merged firms increased significantly to a level comparable with that of the latter group after the mergers. In addition, the market share of the merged firms increased significantly after the mergers. However, no association is found between market concentration and market power. Overall, the results show that the Big 8 mergers have helped the merged firms increase their market power and market share in the Hong Kong audit market where they had little presence.     

Vertical merger: monopolization for downstream quasi‐rents

This paper provides a welfare analysis of vertical merger between an input monopolist and downstream firms that compete perfectly in a homogeneous product market. The distinguishing feature of the present model is that the downstream firms face capacity constraints. As a result of downstream quasi‐rents, vertical merger—the extent of merger is gauged by the capacity share of the acquired downstream firm—may either raise or lower final output. An analytical criterion for distinguishing pro‐ and anti‐competitive mergers is derived, which relies entirely on pre‐merger market quantities and the capacity share of the downstream target. A common result is that vertical merger is output‐increasing even when unaffiliated downstream rivals are completely foreclosed. Copyright © 2008 John Wiley & Sons, Ltd.     

Non‐linear Predictability of UK Stock Market Returns*

Linear predictability of stock market returns has been widely reported. However, recently developed theoretical research has suggested that due to the interaction of noise and arbitrage traders, stock returns are inherently non‐linear, whereby market dynamics differ between small and large returns. This paper examines whether an exponential smooth transition threshold model, which is capable of capturing this non‐linear behaviour, can provide a better characterization of UK stock market returns than either a linear model or an alternate non‐linear model. The results of both in‐sample and out‐of‐sample specification tests support the exponential smooth transition threshold model and hence the belief that investor behaviour does differ between large and small returns.     

On Business Cycle Asymmetries in G7 Countries

We investigate whether business cycle dynamics in seven industrialized countries (the G7) are characterized by asymmetries in conditional mean. We provide evidence on this issue using a variety of time series models. Our approach is fully parametric. Our testing strategy is robust to any conditional heteroskedasticity, outliers, and/or long memory that may be present. Our results indicate fairly strong evidence of nonlinearities in the conditional mean dynamics of the GDP growth rates for Canada, Germany, Italy, Japan, and the US. For France and the UK, the conditional mean dynamics appear to be largely linear. Our study shows that while the existence of conditional heteroskedasticity and long memory does not have much effect on testing for linearity in the conditional mean, accounting for outliers does reduce the evidence against linearity.     

Nonlinearities and Fractional Integration in the US Unemployment Rate*

This paper proposes a model of the US unemployment rate which accounts for both its asymmetry and its long memory. Our approach introduces fractional integration and nonlinearities simultaneously into the same framework, using a Lagrange multiplier procedure with a standard null‐limit distribution. The empirical results suggest that the US unemployment rate can be specified in terms of a fractionally integrated process, which interacts with some nonlinear functions of labour‐demand variables such as real oil prices and real interest rates. We also find evidence of a long‐memory component. Our results are consistent with a hysteresis model with path dependency rather than a non‐accelerating inflation rate of unemployment (NAIRU) model with an underlying unemployment equilibrium rate, thereby giving support to more activist stabilization policies. However, any suitable model should also include business cycle asymmetries, with implications for both forecasting and policy‐making.     

Unemployment Experiences of Young Men: on the Road to Stable Employment?*

This study examines the unemployment experiences of young men in the United Kingdom over the period 1982.IV–1998.I. The empirical results show that repeated unemployment is a dominant feature of the UK labour market and that individual heterogeneity affects mainly the incidence of unemployment and only to a much lesser extent the duration of unemployment. We estimate that about 73% of the young unemployed find stable employment before the age of 35. The remaining 27%, concentrated among the lower‐skilled, keep returning into unemployment, suggesting structural employment instability. These findings imply that a labour market programme targeted at increasing the employability of the young unemployed would yield long‐term benefits by not only getting them out of unemployment but also keeping them out of unemployment.     

News,disaster risk,and time-varying uncertainty

Standard real business cycle models are often unable to replicate three empirical facts: positive output in response to good news, stochastic volatility of macro variables, and asymmetric business cycles. This paper proposes a unified basis for understanding these facts in a tractable dynamic stochastic general equilibrium (DSGE) model, in which the key is the interaction of information flows and disaster risk. Information flows fluctuate between two regimes with different precision levels for signals regarding future economic fundamentals. A shift in forecast precision changes the probability of entering an economic disaster. High disaster risk leads to low expected capital returns and a decline in hours, investment, and output. Changing information structures results in different volatility and skewness over the business cycle. Simple theory makes the two expectation effects through information flows and disaster risk transparent. Quantitatively, the model suggests that the interaction of the two expectation effects plays a significant role in accounting for the higher-order moments of the business cycle.     

Factor Utilization and Adjusted Productivity Estimates for the UK*

This paper derives series for capital utilization, labour effort and total factor productivity (TFP) for the UK from a general equilibrium model with variable utilization and labour adjustment costs. Capital utilization tracks survey‐based measures closely, but persistent movements in total hours worked mean our labour effort series is not as highly correlated with its comparators. Our estimated TFP series is less cyclical than the traditional Solow residual, although a weighted average of capital utilization and labour effort – aggregate factor utilization – and the Solow residual are not closely related.     

A No‐Arbitrage Structural Vector Autoregressive Model of the UK Yield Curve*

This article combines a Structural Vector Autoregression with a no‐arbitrage approach to build a multifactor Affine Term Structure Model (ATSM). The resulting No‐Arbitrage Structural Vector Autoregressive (NASVAR) model implies that expected excess returns are driven by structural macroeconomic shocks. This is in contrast with a standard ATSM, in which agents are concerned with non‐structural risks. As a simple application, we study the effects of supply, demand and monetary policy shocks on the UK yield curve. We show that all structural shocks affect the slope of the yield curve, with demand and supply shocks accounting for a large part of the time variation in bond yields.     

The influence of industry concentration on merger motives—empirical evidence from machinery industry mergers

By linking industrial organization theory and capital market research, we provide empirical evidence that merger motives of firms are influenced by underlying industry concentration. Analyzing wealth effects on target, acquirer and rival firms in the machinery industry, we observe significant different capital market reactions among merger announcements in dependence of underlying industry concentration. suggesting that different takeover motives prevail in fragmented and concentrated industries. In contrast to previous studies, we find besides efficiency motives evidence for monopolistic collusion motives in fragmented industries. Mergers in concentrated industries are primarily motivated to achieve productive efficiency gains. The absence of collusion motives may be an indication for a successful enforcement of antitrust legislation. Our results suggest that the magnitude of the influence of industry concentration in empirical merger motive research may have been previously under-estimated leading to a potential distortion of results.     

What does a Monetary Policy Shock Do? An International Analysis with Multiple Filters*

What does a monetary policy shock do? We answer this question by estimating a new‐Keynesian monetary policy dynamic stochastic general equilibrium model for a number of economies with a variety of empirical proxies of the business cycle. The effects of two different policy shocks, an unexpected interest rate hike conditional on a constant inflation target and an unpredicted drift in the inflation target, are scrutinized. Filter‐specific Bayesian impulse responses are contrasted with those obtained by combining multiple business cycle indicators. Our results document the substantial uncertainty surrounding the estimated effects of these two policy shocks across a number of countries.     

A Panel CUSUM Test of the Null of Cointegration*

This paper proposes a simple residual‐based panel CUSUM test of the null hypothesis of cointegration. The test has a limiting normal distribution that is free of nuisance parameters, it is robust to heteroskedasticity and it allows for mixtures of cointegrated and spurious alternatives. Our Monte Carlo results suggest that the test has small‐size distortions and reasonable power. In our empirical application to international R&D spillovers, we present evidence suggesting that total factor productivity is heterogeneously cointegrated with foreign and domestic R&D capital stocks.     

Modelling security market events in continuous time: Intensity based,multivariate point process models

A continuous time econometric modelling framework for multivariate financial market event (or ‘transactions’) data is developed in which the model is specified via the vector conditional intensity. Generalised Hawkes models are introduced that incorporate inhibitory events and dependence between trading days. Novel omnibus specification tests based on a multivariate random time change theorem are proposed. A bivariate point process model of the timing of trades and mid-quote changes is then presented for a New York Stock Exchange stock and related to the market microstructure literature. The two-way interaction of trades and quote changes in continuous time is found to be important empirically.     

Dating Business Cycles: A Methodological Contribution with an Application to the Euro Area

This paper proposes a dating algorithm based on an appropriately defined Markov chain that enforces alternation of peaks and troughs, and duration constraints concerning the phases and the full cycle. The algorithm, which implements Harding and Pagan's non‐parametric dating methodology, allows an assessment of the uncertainty of the estimated turning points caused by filtering and can be used to construct indices of business cycle diffusion, aiming at assessing how widespread are cyclical movements throughout the economy. Its adaptation to the notion of a deviation cycle and the imposition of depth constraints are also discussed. We illustrate the algorithm with reference to the issue of dating the euro‐area business cycle and analysing its characteristics, both from the classical and the growth cycle perspectives.