What do interest rates reveal about the functioning of real business cycle models?

This paper begins by documenting the extent to which the predictions of standard Real Business Cycle (RBC) models are incompatible with observed movements in real interest rates. The main finding of the paper is that extending the baseline model to include habit persistence in consumption and adjustment costs to capital significantly improves the model's empirical performance. In our evaluation of the model's performance, we take special care of estimating and testing predictions of the model using both moments drawn directly from the data and moments calculated after identifying shocks to the stochastic trend.     

中国经济波动与增长的福利成本分析

本文借鉴Lucas（1987）及Alvarez和Jermann（2004）的研究模型,将非平稳的消费序列分解为周期波动成分和增长趋势成分,估算中国经济波动与经济增长的总福利成本和边际福利成本,得到以下主要结论：（1）无论是经济波动还是经济增长方面,边际福利成本均为总福利成本的2倍左右。（2）中国经济波动与增长的福利成本在1952~2010年呈现显著的阶段性特征,1952~1990年间经济波动的福利成本显著大于1991~2010年间,而后一阶段经济增长的福利成本也远远大于前一阶段。结合这一发现,我们认为宏观调控应增强中国经济的稳定性,着重防范内外部因素对经济增长趋势的不确定冲击。     

WILL BUSINESS CYCLES IN THE EURO AREA CONVERGE? A CRITICAL SURVEY OF EMPIRICAL RESEARCH

Abstract.  This survey of business cycle synchronization in the European monetary union focuses on two issues: have business cycles become more similar, and which factors drive business cycle synchronization. We conclude that business cycles in the euro area have gone through periods of both convergence and divergence. Still, there is quite some evidence that during the 1990s business cycle synchronization in the euro area has increased. Higher trade intensity is found to lead to more synchronization, but the point estimates vary widely. The evidence for other factors affecting business cycle synchronization is very mixed.     

GDP Estimates: Rationality Tests and Turning Point Performance

The reliability of BEA’s estimates, as measured by the magnitude and pattern of revisions, is highly important to economic policy-making and business decisions. We find evidence that the revisions are partially predicable using contemporaneously available information for the current quarterly estimates of GDP. Information about national income is found to significantly supplement the information found in the final current quarterly estimates of GDP in explaining the revisions to the latest-available estimates of GDP. However, there is little evidence of the predictability of revisions in GDI or national income. Finally, both the advance and final current quarterly estimates are found to do a reliable job of measuring GDP and GDI around cyclical peaks, but a less reliable job around cyclical troughs, the declines preceding the troughs are overstated and the upturns after the troughs are understated. An earlier and somewhat expanded version of this paper, “Revisions, Rationality, and Turning Points in GDP,” was presented at the session “Tracking the Turning Points in the Economy,” AEA meetings January 3–5 2003, Washington DC. It is available in the “working papers” section of BEA’s web site, www.bea.gov     

The impact of the US on Latin American business cycles: A new approach

Business cycles in Latin America have tended to be more volatile than those in wealthier nations such as the US. Accordingly, much research has been conducted on Latin business cycles, as well as the impact of the US on such fluctuations. Some research seeks to find how “integrated” cycles are in the US and Latin America, yielding conflicting results. We apply a new method to the question of business cycle synchronization between the US and nine Latin nations. We find that in the majority of cases integration has been rising in recent years. We also find, contrary to some previous studies, that integration does not appear to be affected by either the level of trade or of capital account openness. Finally, we find that the two countries that are dollarized – Ecuador and El Salvador – appear least integrated with the US. This last finding has potentially troubling implications in terms of the ability of these nations to adjust to asymmetric shocks vis-à-vis the US.     

Changes in seasonal patterns : Are they cyclical?

This paper explores the hypothesis that the seasonal patterns of macroeconomic variables vary with expansions and contractions. Graphical techniques and generalized predictive tests for structural stability are used to identify and test patterns of changing seasonality. A Monte Carlo exercise shows the power of the tests against interesting alternatives. The empirical results suggest that seasonal patterns are unstable and that in many cases changes are linked to the stages of the business cycle. The forecasting costs incurred by treating seasonality as constant are discussed and evaluated.     

LONG DARK SHADOWS OR INNOVATIVE SPIRITS? THE EFFECTS OF (SMOOTHING) BUSINESS CYCLES ON ECONOMIC GROWTH: A SURVEY OF THE LITERATURE

Abstract It is argued that fiscal policy can play a part in preventing a possible downward spiral or be instrumental in achieving a higher long‐term path of growth. Never before has this argument been advanced as frequently as in the current economic crisis. However, the economic literature – an overview of which is given here – does not provide an unambiguous answer, either theoretically or empirically, to the question of the relationship between (the smoothing of) cyclical fluctuations and long‐term growth. In this context, two main contrasting explanatory paradigms can be identified: Schumpeter’s concept of creative destruction and the learning by doing hypothesis. Even if it were possible to identify the relationship more clearly on this basis, it is important not to lose sight of the problems associated with the real‐time assessment of the current economic situation, time lags and political economic incentives even in difficult times.     

A clarification of the Goodwin model of the growth cycle

We show that there is a difficulty in the original Goodwin model which is also found in some more recent applications. In it both the labour share and the proportion employed can exceed unity, properties which are untenable. However, we show that the underlying dynamic structure of the model can be reformulated to ensure that these variables cannot exceed unity. An illustrative example extends the original model, and we argue it is both plausible and satisfies the necessary unit box restrictions.     

Self-employment and business cycle persistence: Does the composition of employment matter for economic recoveries?

Self-employment comprises an important share of employment in many countries, and tends to expand during downturns through higher inflows from unemployment. Furthermore, countries with higher self-employment shares exhibit lower cyclical output persistence. I build a business cycle model with frictional labor markets where individuals can be self-employed or salaried employed. I show that economies with larger self-employment shares exhibit faster economic recoveries. Differences in the ease of entry into self-employment as the economy recovers explain the contrasting cyclical dynamics. The model successfully captures the cyclical patterns of self-employment and the relationship between self-employment and output persistence in the data.     

Lending constraints,real estate prices and business cycles in emerging economies

We investigate a small open economy with constraints in both the domestic and the international credit market. The informational opaqueness of the domestic market hinders foreign lenders' activity, so that entrepreneurs face looser borrowing constraints vis-à-vis domestic financiers. However, limited capitalization constrains domestic lenders. Calibrating the model to data from Argentina, we find that the interaction between lending and borrowing constraints is a channel through which real interest rate shocks generate fluctuations in output, real estate prices and consumption. External financial liberalization increases volatility and affects welfare more than domestic liberalization but also mitigates the destabilizing impact of domestic deregulation.     

Markov-switching dynamic factor models in real time

We extend the Markov-switching dynamic factor model to account for some of the specificities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as mixed sampling frequencies and ragged-edge data. First, we evaluate the theoretical gains of using data that are available promptly for computing probabilities of recession in real time. Second, we show how to estimate the model that deals with unbalanced panels of data and mixed frequencies, and examine the benefits of this extension through several Monte Carlo simulations. Finally, we assess its empirical reliability for the computation of real-time inferences of the US business cycle, and compare it with the alternative method of forecasting the probabilities of recession from balanced panels.     

Green shoots and double dips in the euro area: A real time measure

In order to perform real-time business cycle inferences and forecasts of GDP growth rates in the euro area, we use an extension of the Markov-switching dynamic factor models that accounts for the features of the day-to-day monitoring of economic developments, such as ragged edges, mixed frequencies and data revisions. We provide examples that show the nonlinear nature of the relationships between data revisions, point forecasts and forecast uncertainty. Based on our empirical results, we think that the real-time probabilities of recession inferred from the model are an appropriate statistic for capturing what the press call green shoots, and for monitoring double-dip recessions.     

Riskiness,endogenous productivity dispersion and business cycles

In the data, cross-sectional productivity dispersion is countercyclical at both the plant level and the firm level, see e.g. Bloom (2009). I incorporate a firm׳s choice of risk level into a model of firm dynamics with real business cycle features to explain this empirical finding both qualitatively and quantitatively. In the model, in every period, each firm chooses the investment amount and the risk level associated with a production project every period. All projects available to each firm have the same expected flow return, determined by the aggregate and idiosyncratic shocks to the firm׳s productivity, and differ from one another only in their risk. The endogenous option of exiting the market and the limited funding for new investment jointly play an important role in motivating firms׳ risk-taking behavior. The model predicts that, in each period, relatively small firms are more likely to take risk and hence exhibit a higher exit rate, and that the cross-sectional productivity dispersion, measured as the standard deviation of the realized individual component of productivity, is larger in recessions.     

MATCHING MODELS UNDER SCRUTINY: AN APPRAISAL OF THE SHIMER PUZZLE

Abstract Two papers have recently questioned the quantitative consistency of the search and matching model. Shimer has argued that a textbook matching model is unable to explain the cyclical variation of unemployment and vacancies in the US economy. Costain and Reiter have found the existence of a trade‐off in the model's performance: any attempt to change the calibrated values to improve the model's ability to predict the business cycle jeopardizes its predictions of the impact of unemployment benefits on unemployment. In surveying the literature originating in these findings, I distinguish three different avenues that have been followed to correct the model: change in wage formation, change in the calibration and changes in the model specification. The last approach seems to achieve the best results both from a business cycle and from a microeconomic viewpoint.