TECHNOLOGICAL LEARNING AND LABOR MARKET DYNAMICS

The search‐and‐matching model of the labor market fails to match two important business cycle facts: (i) a high volatility of unemployment relative to labor productivity, and (ii) a mild correlation between these two variables. We address these shortcomings by focusing on technological learning‐by‐doing: the notion that it takes workers' time using a technology before reaching their full productive potential with it. We consider a novel source of business cycles, namely, fluctuations in the speed of technological learning, and show that a search‐and‐matching model featuring such shocks can account for both facts. Moreover, our model provides a new interpretation of recently discussed “news shocks.”     

News shocks and labour market dynamics in matching models

We enrich a baseline real business cycle (RBC) model with search and matching frictions on the labour market and real frictions that are helpful in accounting for the response of macroeconomic aggregates to shocks. The analysis allows shocks to have an unanticipated and a news (i.e., anticipated) component. The Bayesian estimation of the model reveals that the model that includes news shocks on macroeconomic aggregates produces a remarkable fit of the data. News shocks in stationary and non‐stationary TFP, investment‐specific productivity and preference shocks significantly affect labour market variables and explain a sizeable fraction of macroeconomic fluctuations at medium‐ and long‐run horizons. Historically, news shocks have played a relevant role for output, but they have had a limited influence on unemployment.     

Heterogeneous Jobs and the Aggregate Labour Market

This paper analyses a simple search‐and‐matching model with heterogeneous jobs. First, I derive an explicit formula that ensures the social efficiency of the equilibrium outcome. This formula generalises the well‐known Hosios condition and clarifies the role of externalities across labour markets for different types of jobs. Second, business cycle fluctuations with heterogeneous jobs are analysed. Heterogeneity in productivity and job stability plays an important role in generating strong labour‐market responses to productivity shocks.     

Financial Market Imperfections, Labour Market Imperfections and Business Cycles

A Greenwald–Stiglitz (1993a) style rational expectations business cycle model is introduced in which uncorrelated productivity shocks or monetary shocks generate autocorrelated employment fluctuations due to financial constraints. The propagation mechanism is carefully modelled: because of capital market imperfections (only standard debt contracts are traded), firms' labour demand changes in response to changes in their balance-sheet position; because of labour market imperfections (efficiency wages), employment and unemployment fluctuate in response to shifts in labour demand. The virtue of the model is its simplicity. Despite the fact that unemployment is endogenous, the dynamic behaviour of the model under rational expectations can be characterised analytically.
JEL classification : E 32     

Business cycle fluctuations in Taiwan — A Bayesian DSGE analysis

This paper examines the Taiwanese economy in a small open economy DSGE model using Bayesian estimation. The model consists of two countries and 12 exogenous shocks with stochastic volatility to capture the fluctuations in the business cycle. The main results are: (1) shock innovations with stochastic volatility increase the model fit, (2) shocks originated from outside the country are important sources of fluctuations in the Taiwanese business cycle.     

Labor Market Dynamics and the Business Cycle: Structural Evidence for the United States*

We use a 12‐dimensional VAR to examine the aggregate effects of two structural technology shocks and two policy shocks. For each shock, we examine the dynamic effects on the labor market, the importance of the shock for labor market volatility, and the comovement between labor market variables and other key aggregate variables in response to the shock. We document that labor market indicators display “hump‐shaped” responses to the identified shocks. Technology shocks and monetary policy shocks are important for labor market volatility but the ranking of their importance is sensitive to the VAR specification. The conditional correlations at business cycle frequencies are similar in response to the four shocks, apart from the correlations between hours worked, labor productivity and real wages. To account for the unconditional correlations between these variables, a mixture of shocks is required.     

FINANCIAL MARKET INTEGRATION AND BUSINESS CYCLE VOLATILITY IN A MONETARY UNION

This paper uses a dynamic general equilibrium two‐country sticky‐price model to analyze the implications of financial market integration for the propagation of asymmetric productivity and government spending shocks in a monetary union. Financial market integration has a small effect on the propagation of these shocks if households can only trade in risk‐free bonds. However, financial market integration has a more substantial effect on the propagation of these shocks in a monetary union with a complete market for state‐contingent claims. This result indicates that it may be important to account for threshold effects in empirical analyses of the impact of financial market integration on business cycle volatility in a monetary union.     

Oil price uncertainty and the business cycle: Accounting for the influences of global supply and demand within a VAR GARCH-in-mean framework

ABSTRACT

This article reinvestigates the influence of oil price uncertainty on real economic activity in the United States using a four-variable VAR GARCH-in-mean asymmetric BEKK model. In contrast to previous studies in this area, the analysis focuses on business cycle fluctuations and we control for global supply and demand factors that might affect the real price of oil, its volatility as well as the US economy. We find that – even after accounting for these factors – oil price uncertainty still has a highly significant negative influence on the US business cycle. Our computations show that the effect is economically important during several periods, mostly after a significant variance shift in the mid-1980s. We simultaneously estimate the effect on the global business cycle but find that it is comparatively weak. Finally, significant spillover effects in the GARCH model suggest that oil price volatility is a gauge and channel of transmission of more general macroeconomic shocks and uncertainty. These linkages are particularly strong in case of unexpected bad news.     

INTERNATIONAL CAPITAL FLOWS,BOOM‐BUST CYCLES,AND BUSINESS CYCLE SYNCHRONIZATION IN THE ASIA PACIFIC REGION

This article documents evidence of business cycle synchronization in selected Asia Pacific countries since the 1990s. We explain business cycle synchronization by the channel of international capital flows and boom‐bust cycles. Using the vector auto‐regression method, we find that most Asian countries experience boom‐bust cycles following capital inflows, where the boom in output is mostly driven by consumption and investment. Empirical evidence also shows that capital flow shocks are positively correlated in the region, which supports the conclusion that capital market liberalization has contributed to business cycle synchronization. (JEL F4)     

GLOBAL BUSINESS CYCLES: CONVERGENCE OR DECOUPLING?*

We analyze the evolution of the degree of global cyclical interdependence over the period 1960–2008. Using a dynamic factor model, we decompose macroeconomic fluctuations in output, consumption, and investment into a global factor, factors specific to country groups, and country‐specific factors. We find that during 1985–2008, there is some convergence of business cycle fluctuations among industrial economies and among emerging market economies. Surprisingly, there is a concomitant decline in the relative importance of the global factor. We conclude that there is evidence of business cycle convergence within each of these two groups of countries but divergence (or decoupling) between them.     

Shocks and rigidities as determinants of CEE labour markets’ performance

In this article, the impact of real wage, productivity, labour demand and supply shocks on eight Central and Eastern European (CEE) economies from 1996–2007 is analysed with a panel structural vector error correction model. A set of long‐run restrictions derived from the dynamic stochastic general equilibrium (DSGE) model is used to identify structural shocks, and fluctuations in foreign demand are controlled for. We find that the propagation of shocks on CEE labour markets resembles that found for OECD countries. Labour demand shocks emerge as the main determinant of employment and unemployment variability in the short‐to‐medium run, but wage rigidities were equally important for observed labour market performance, especially in Poland, Czech Republic and Lithuania. We associate these rigidities with collective bargaining, minimum wage, active labour market policies and employment protection legislation.     

Foreign Direct Investment Outflows and Business‐cycle Fluctuations*

This paper investigates business‐cycle effects for a country’s foreign direct investment (FDI) outflows. Ordinary least squares and panel regressions show that volatility in economic growth has a negative and significant impact on FDI outflows. Furthermore, we find different types of shocks have asymmetric impacts on FDI outflows. In other words, fluctuations of the same magnitude in a boom and a recession have different effects on FDI outflows. This relationship is more evident in OECD countries. We also include exchange rate volatility, lagged business‐cycle measure, and control for potential endogeneity problems as robustness checks. Our findings are robust across different specifications.     

INTERNATIONAL BUSINESS CYCLES IN EMERGING MARKETS

I document cyclical behavior of real exchange rates (RERs) in emerging and developed economies: stronger RER procyclicality coincides with larger relative volatility of consumption and more countercyclical trade balance. I then reevaluate the sources of fluctuations in emerging economies using an international business cycle model estimated to match the behavior of the RERs. Interest rate shocks, without any frictions, account for most of output fluctuations. This result is driven by imperfect substitution between domestic and foreign goods, which dampens the impact of trend shocks and accentuates the impact of interest rate shocks on output and consumption.     

The Effects of Business Cycles on Growth - Time Series Evidence for the G7-countries Using Survey-based Measures of the Business Cycle

The paper analyses whether business cycle fluctuations affectlong-run growth. This hypothesis is tested using quarterly timeseries for the G7-countries. A vector-autoregressive model containingtotal factor productivity and a survey-based direct measureof the business cycle is estimated. In this vector-autoregression,technology and business cycle shocks are identified based onthe assumption that productivity-improving measures need sometime and, thus, there is no contemporaneous response of productivityto a business cycle innovation. The results suggest that positivebusiness cycles shocks have a small negative impact on long-runproductivity. However, the results appear to be not robust againstchanges in the empirical model.(JEL E32, O41)     

BUSINESS CYCLES IN SINGAPORE: STYLIZED FACTS FOR A SMALL OPEN ECONOMY

This paper sets out to discover the salient characteristics of economic fluctuations in the small open economy of Singapore. To this end, band‐pass filters and unobserved components models are first used to extract the cyclical components in macroeconomic variables. The extent to which domestic business cycles are influenced by foreign economic cycles with regards to their persistence, comovement and volatility properties are then assessed using time‐series statistics. The paper also documents how shocks originating from abroad are propagated to the broader economy. Although it is found that idiosyncratic features are present in Singapore's macroeconomic fluctuations, there are also stylized business cycle facts to be learnt about small open economies in general.     

Interest rate volatility and macroeconomic dynamics: Heterogeneity matters

We examine the relation between real interest rate volatility and aggregate fluctuations for a diverse sample of countries. Compiling a new dataset including emerging and advanced countries, the substantial variation in our data yields novel results: (a) stochastic volatility outperforms Markov‐switching in representing interest rates, (b) some advanced economies can be more volatile than emerging markets, and (c) creditors take on more debt following volatility shocks. We show how an equilibrium business cycle model with uncertainty shocks can generate these facts. Sample heterogeneity produces significant parameter differences, playing an important role in distinguishing the effects of volatility shocks.     

怎样解释中国经济波动： 基于BCA的分析

本文应用Business Cycle Accounting（BCA）方法,分析效率、劳动、投资和政府消费等扭曲性楔子对中国经济波动的影响。基于一个基本新古典增长模型,本文先从总量数据中估算出这些楔子的实现值,再分别将它们反馈到模型中以进行模拟实验;实验结果表明,只有效率楔子对解释中国经济波动是最重要的。这个发现为解释中国经济波动提供了一种新思路——让经济冲击或经济结构因素产生全要素生产率（TFP）波动,借此来引起其他相关变量的波动;这样建立的模型等价于带有效率楔子的基本增长模型,因此能够解释总量数据的大部分波动,而它们揭示的经济波动机制更有意义。经济周期政策应该更加关注TFP的变动,因为能够影响TFP的政策措施才能更有效地作用于经济波动。     

The equity price channel in a New-Keynesian DSGE model with financial frictions and banking

This paper studies the role of the equity price channel in business cycle fluctuations, and highlights the equity price channel as a different aspect to general equilibrium models with financial frictions and, as a result, emphasizes the systemic influence of financial markets on the real economy. We develop a canonical dynamic general equilibrium model with a tractable role for the equity market in banking, entrepreneur and household economic activities. The model is estimated with Bayesian techniques using U.S. data over the sample period 1982Q01–2015Q01. We show that a dynamic general equilibrium model with an equity price channel well mimics the U.S. business cycle. The model reproduces the strong procyclicality of the equity price. The equity price channel significantly exacerbates business cycle fluctuations through both financial accelerator and bank capital channels. Our results support the increasing emphasis on common equity capital in Basel III regulations. This is beneficial in terms of financial stability, but amplifies and propagates shocks to the real economy.     

Cyclicality and Sectoral Linkages: Aggregate Fluctuations from Independent Sectoral Shocks

The traditional argument against the relevance of sector-specific shocks for the aggregate phenomenon of business cycles invokes the law of large numbers: positive shocks in some sectors are offset by negative shocks in other sectors. This paper hypothesizes that cancellation of sector-specific shocks via the law of large numbers is affected by interactions among producing sectors. The analysis is performed within the context of a multisector model similar in spirit to that of Long and Plosser [J. Polit. Econ.91(1983), 39–69]. It is shown that the rate at which the law of large numbers applies is controlled by the rate of increase in the number offullrows in the input-use matrix rather than by the rate of increase in the total number of sectors. Investigations of actual input-use matrices from the U.S. economy reveal that the number of full rows increases much slower than the total number of rows upon disaggregation, and when these input-use matrices are used to parameterize the model, aggregate volatility from sectoral shocks declines at less than half the rate implied by the law of large numbers. This finding leaves open the possibility that a sizeable portion of aggregate volatility is caused by “smaller” shocks to individual sectors. Simple statistics calculated from the model indicate that as much as 80% the volatility in U.S. gross domestic product growth rates could be the result of independent shocks to two-digit Standard Industrial Code sectors.Journal of Economic LiteratureClassification Numbers: E1, E32, C67.     

Has the Euro changed the business cycle?

In contrast to the notion that the exchange-rate regime is non-neutral, there is little evidence that EMU has systematically changed the European business cycle. In fact, we find the volatility of macroeconomic variables largely unchanged before and after the introduction of the Euro. Exceptions are a strong decline in real exchange rate volatility and a considerable increase in cross-country correlations. To account for this finding, we develop a two-country business cycle model which is able to replicate key features of European data. In particular, the model correctly predicts a limited effect of EMU on standard business cycles statistics. However, further analysis reveals that the Euro has changed the nature of the cycle through its impact on the transmission mechanism. Cross-country spillovers have become relatively more, domestic shocks relatively less important in accounting for economic fluctuations under EMU. This explains why there is little change in unconditional volatilities.