Asian real interest rates, nonlinear dynamics, and international parity

This study tests for nonlinearities in the real interest differentials of four South East Asian economies with respect to Japan and the United States. The logistic and exponential smooth transition regression models are applied to monthly data over the sample period 1977M1–2000M3. There is evidence of nonlinearities in Asian real interest differentials where nonlinearities are often captured by the logistic smooth transition autoregressive (STAR) model. The extent of nonlinearities varies across the sample with the Singapore–Japan and Thailand–Japan differentials exhibiting the sharpest transition from one regime to another. Large shocks to real interest parity (RIP) are more likely to lead to the reestablishment of parity at a faster rate than small shocks. Modeling the nonlinear stochastic dynamics of RIP can thus be useful for policymaking purposes in recovering information on monetary and financial crises.     

Nonlinearities and the Business Cycle in Spanish Imports: A Smooth Transition Regression Approach

Traditional specifications about imports have their foundations on the symmetry of the cycle. However, the wide debate about the asymmetric character of the cycle has aroused much interest in nonlinear dynamics due to the cyclical state of the economy. Economic theory maintains a linear long-run relationship linking imports, GDP and relative prices. This paper analyzes whether short-run deviations from this equilibrium display any kind of nonlinear behavior related to the state of the cycle. Nonlinearities will be captured by an error correction smooth transition regression (STR). Empirical evidence, focused on Spanish imports of goods, supports that short-run deviations of this variable from its linear equilibrium state display a nonlinear behavior. As it is demonstrated, this evolution is caused by the cyclical state of the economy. A previous version of this article has been presented at the 65th International Atlantic Economic Conference (Warsaw, Poland, April 9–12, 2008). The authors would like to thank the conference participants and an anonymous referee for their comments.     

Business cycle dynamics with duration dependence and leading indicators

Durland and McCurdy [Durland, J.M., McCurdy, T.H., 1994. Duration-dependent transitions in a Markov model of US GNP growth. Journal of Business and Economic Statistics 12, 279–288] investigated the issue of duration dependence in US business cycle phases using a Markov regime-switching approach, introduced by Hamilton [Hamilton, J., 1989. A new approach to the analysis of time series and the business cycle. Econometrica 57, 357–384] and extended to the case of variable transition parameters by Filardo [Filardo, A.J., 1994. Business cycle phases and their transitional dynamics. Journal of Business and Economic Statistics 12, 299–308]. In Durland and McCurdy’s model duration alone was used as an explanatory variable of the transition probabilities. They found that recessions were duration dependent whilst expansions were not. In this paper, we explicitly incorporate the widely-accepted US business cycle phase change dates as determined by the NBER, and use a state-dependent multinomial Logit modelling framework. The model incorporates both duration and movements in two leading indexes – one designed to have a short lead (SLI) and the other designed to have a longer lead (LLI) – as potential explanatory variables. We find that doing so suggests that current duration is not only a significant determinant of transition out of recessions, but that there is some evidence that it is also weakly significant in the case of expansions. Furthermore, we find that SLI has more informational content for the termination of recessions whilst LLI does so for expansions.     

Do realized betas exhibit up/down market tendencies?

In this paper we employ the STAR (smooth transition autoregressive) model to investigate potential nonlinearities, cyclical behaviour and duration dependence in the realized monthly betas of 39 US industry portfolios. Tests reject linearity for all but eight industries. The estimated nonlinear models suggest that industry betas are characterised by asymmetric cycles, with the speed of transition between the bull and bear market regimes being relatively slow for seven industries. We find duration dependence in industry betas since the probability of transition between regimes does depend on how long the market has been in an up or a down state.     

我国经济周期波动的非对称性和持续性研究

本文利用1979年至2004年之间中国GDP季度数据,采用三区制马尔可夫均值和方差转移的二阶自回归(MSMV(3)-AR(2))模型和贝叶斯Gibbs抽样非参数估计方法,对我国经济周期波动的非对称性和持续性进行了实证分析。实证结果表明,MSMV(3)-AR(2)模型对我国经济状况提供了很好的拟合,显著支持增长率序列具有三区制状态:低速增长阶段,适速增长阶段和高速增长阶段。我国经济周期的非对称性主要体现在各个增长阶段的均值、方差、阶段性之间的转移概率的不同。我国经济周期的持续性主要体现在各个增长阶段的自维持概率和阶段性之间的转移概率的不同。此外,我国经济"适速增长阶段"的稳定性最高,"高速增长阶段"的平均持续期最长。     

Common factors in Latin America's business cycles

We develop a common factor approach to reconstruct new business cycle indices for Argentina, Brazil, Chile, and Mexico (“LAC-4”) from a new dataset spanning 135 years. We establish the robustness of our indices through extensive testing and use them to explore business cycle properties in LAC-4 across outward- and inward-looking policy regimes. We find that output persistence in LAC-4 has been consistently high across regimes, whereas volatility has been markedly time-varying but without displaying a clear-cut relationship with openness. We also find a sizeable common regional factor driven by output and interest rates in advanced countries, including during inward-looking regimes.     

Short-run dynamics in bank credit: Assessing nonlinearities in cyclicality

This paper explores whether the procyclicality of private credit changes during the business cycle. To this end, we rely on the estimation of smooth transition regression models for a sample of 17 OECD countries over the 1986–2010 period. Our findings show that credit procyclicality is nonlinear, depending on economic conditions. More specifically, credit is highly procyclical in extreme – booms and busts – regimes in Canada, the UK and the US, while procyclicality is less pronounced in one or both extreme regimes in Australia, Belgium, France, Finland, the Netherlands, Norway, and Spain. Our results also emphasize the importance of financial factors in explaining the short-run behavior of private credit.     

Nonlinear models,composite longer leading indicator and forecasts for UK real GDP

This paper examines the role of the Office for National Statistics Composite Longer Leading Indicator, in nonlinear business cycle models for growth rates of UK real gross domestic product (GDP). These models are of the smooth transition regression class, with the transition between “regimes” expressed as functions of lagged changes in the leading indicator. In general, evidence is found of business cycle regime asymmetries, with increases and decreases in the leading indicator implying distinct responses for the dependent variable. Single transition function appears to capture these asymmetries satisfactorily. Nonlinear models provide more accurate one-step ahead forecasts than corresponding linear leading indicator models.     

The Role of the Business Cycle in Exchange Rate Pass-Through: The Case of Finland

In this paper we investigate whether exchange rate pass-through (ERPT) responds nonlinearly to economic activity along the business cycle. Using quarterly data spanning the period 1975:1 to 2011:1, we explore the existence of nonlinearities in ERPT to CPI inflation for the Finnish economy. Within a logistic smooth transition framework, our investigations reveal a strong regime-dependence of pass-through, depending positively on economic activity. Besides, point estimates indicate that the long-run pass-through coefficient is equal to 0.15 % (weakly significant) when GDP growth is below a threshold of 3 %. However, when the Finnish economy’s growth rate speeds up—above the threshold of 3 %—ERPT elasticity increases to 0.47 %. These results provide some useful guidance on how policymakers should act over different phases of the business cycle. More specifically, monetary policy should factor in the nonlinear mechanism of ERPT over the business cycle in order to prevent exchange rate movements from fueling a continuous inflationary process.

     

Nonlinear dynamics and the exports–output growth nexus

The untested assumption of a linear relationship between exports and output growth in previous empirical investigations may lead to invalid inference if the actual relationship is nonlinear. This paper re-examines the relationship between exports and economic growth in five industrialized economies (Canada, Italy, Japan, UK, and the US) with emphasis on the effect of nonlinearities on the causal relationships. Results from linearity tests show that nonlinearities do exist in the dynamic relationship between exports and GDP growth. Nonlinear smooth transition autoregressive (STAR) model results suggest that nonlinear Granger causality flows from exports to output growth and vice versa. Predictive accuracy tests further confirm the appropriateness of the nonlinear models over the linear model specification.     

Nonlinearity and structural stability in the Phillips curve: Evidence from Turkey

In this paper, we investigate possible nonlinearities in the inflation–output relationship in Turkey for the 1980–2008 period. We first estimate a linear bivariate model for the inflation rate and output gap, and test for linearity of the estimated model against nonlinear alternatives. Linearity test results suggest that the relationship between the inflation rate and output gap is highly nonlinear. We estimate a bivariate time-varying smooth transition regression model, and compute dynamic effects of one variable on the other by generalized impulse response functions. Computed impulse response functions indicate that inflation–output relationship in Turkey during the analyzed period was regime dependent and varied considerably across time.     

通货膨胀率周期波动与非线性动态调整

本文运用MRSTAR模型研究我国通货膨胀率的周期阶段划分、通胀率周期波动的非线性和非对称性动态特征,通胀率不同阶段相互转移的路径及其内在机理。实证研究表明,我国通货膨胀率波动可以划分为通货紧缩、通缩恢复、温和通胀以及严重通胀四个阶段,通胀率波动不同阶段的划分不仅依赖于通胀率的水平,也依赖于通胀率的增加量;在一个波动周期内,通胀率不同阶段的典型转移路径为:通货紧缩→温和通胀→严重通胀→温和通胀→通货紧缩;我国通货紧缩与温和通胀持续时间较长,而严重通胀持续时间很短;冲击对通胀率系统不具有持久性影响,正向冲击与负向冲击的影响具有非对称特征。     

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.     

Further evidence on business cycle asymmetries in G7 countries

This paper tests for business cycle symmetry in G7 countries during the post-World War II period using a number of tests, each reflecting alternative definitions of business cycle asymmetry. The tests are applied to monthly coincident economic indicators of business cycles. This found that business cycles in the US are characterized by both longitudinal (deepness) and transversal (steepness and sharpness) asymmetries: further, it is found that asymmetric transition probabilties and time irreversibility are due to nonlinearities. On the contrary, business cycles in Germany exhibits a symmetric behaviour. Between these extremes are the other countries, for which at least one of the tests here considered rejects the null of cyclical symmetry. Particularly, business cycle is characterized by deepness and sharpness in Canada, asymmetry in persistence in France and Japan, and asymmetric transition probabilities in France and United Kingdom.     

Spanish Imports of Manufactures and the European Union: An Empirical Assessment of the Entry

This paper investigates the consequences of Spain's accession to the European Union on its imports of manufactures. To that end the realised shares of GDP and the supplies of Spain's main trading partners in the transition period 1986–1992 are compared with the shares that are predicted by means of a model that is estimated using data that relate to the pre-integration period.     

Non-Walrasian Labor Markets and Real Business Cycles

The standard real business cycle literature mainly focuses on Walrasian models designed to fit the U.S. institutional framework. Differences between the United States and Europe, mostly evident in the labor market, suggest that a purely Walrasian model may be inappropriate for the study of European business cycles. I present a stochastic version of the dynamic general equilibrium model of Daveri and Maffezzoli (2000, “A Numerical Approach to Fiscal Policy, Unemployment and Growth in Europe,” Econometrics and Applied Economics Working Paper 2000-4, IEP, Università Bocconi), where unemployment is generated by monopolistic unions, and calibrate it to reproduce several long-run features of the Italian and U.S. economies. This framework is then compared with an indivisible labor model built on Hansen (1985, Journal of Monetary Economics16, 309–328) and Rogerson and Wright (1988, Journal of Monetary Economics22, 501–515). I focus on the impulse response functions, the standard business cycle statistics, and the ability to reproduce the cyclical components of the main macroeconomic variables. The main results are as follows: (i) the impulse response functions of the monopoly union (MU) model show a higher degree of overall persistence; (ii) the business cycle statistics are similar; (iii) the MU model enjoys a statistically significant advantage in reproducing the Italian business cycle, but not that of the United States. Journal of Economics Literature Classification Numbers: E32, E24, J23, J51.     

Increasing linkages among European regions. The role of sectoral composition

This paper analyses changes in economic regional interlinkages in Europe over time and investigates the factors that could explain the dynamics of these changes. Our four main findings are the following: (i) we detect a significant surge in regional synchronisation after the Great Recession; (ii) we identify the regions most interrelated with the rest of Europe, namely, Ile de France, Inner London and Lombardia; (iii) we find that sectoral composition explains regional synchronisation in Europe, mainly after the Great Recession and (iv) we document that sectoral composition has important implications for aggregate economic fluctuations, in particular, that similarities in services-related sectors across regions explain a nonlinear relationship between sectoral composition and regional business cycle synchronisation. We also propose a new method to measure time-varying synchronisation in small samples that combines regime-switching models and dynamic model averaging.     

Cyclical Asymmetries in Unemployment Rates: International Evidence

This paper investigates to what extent the observed nonlinearities in the unemployment rates of six major developed economies are the response to cyclical asymmetries. Two classes of models are compared: strict smooth transition autoregressions and models where the transition variable is GDP growth, which is considered a more direct indicator of the business cycle. The empirical evidence points out that nonlinearities in unemployment rates are induced by cyclical asymmetries. It is also found that in most countries the unemployment rate looks stationary and reverts to a long-run equilibrium rate in periods of normal growth, while in extreme cyclical situations it tends to become nonstationary as if each extreme cyclical episode had its own path of equilibrium.      

Are there asymmetries of nonlinearities in UK output?

This paper investigates whether quarterly post-war UK output growth contains either asymmetries or nonlinearities through subjecting the series to a variety of diagnostic testa and by fiting various nonlinear business cycle models. No evidence is uncovered of any form of asymetric or nonlinear departure from the pure random walk with drift model of output.     

Firm behaviour and market access in a Free Trade Area with rules of origin

Abstract.  We study a Free Trade Area with Rules of Origin and show that there are two distinct regimes. Comparative statics results for the two regimes are exact opposites and a regime switch occurs when ROO become restrictive enough. Consequently, imports into the FTA of the intermediate good first fall and then rise while the opposite pattern occurs for imports of the final good and for the price of the domestic input. We also show that tighter ROO have opposite effects on the well‐being of final versus intermediate good producers and producers inside versus outside the FTA . JEL classification: F13, F15.