What is the Real Story for Interest Rate Volatility?

What is the source of interest rate volatility? Why do low interest rates precede business cycle booms? Most observers tend to assume that monetary policy is largely responsible for it. Indeed, a standard real business cycle model delivers rather small fluctuations in real interest rates. Here, however, we present two models of the real business cycle variety, in which the fluctuations of real rates are of similar magnitude as in the data, while simultaneously matching salient business cycle facts. The second model also replicates the cyclical behavior of real interest rates. The models build on recent work by Danthine and Donaldson, Jermann, and Boldrin, Christiano and Fisher. We assume that there are workers and capital owners. The first model posits habit formation and adjustment costs to the stock of capital. The second model assumes that it takes time to plan investment and time to build capital.     

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.     

ESTIMATES OF THE AGGREGATE QUARTERLY CAPITAL STOCK FOR THE POST-WAR U.S. ECONOMY

We construct quarterly aggregate gross and net capital stock series for the post-war U.S. economy using annual capital stock, capital depreciation, and capital discard figures along with quarterly investment series. We construct nominal and real measures of all three categories in the aggregate capital stock: consumer durable goods, producer durable goods, and business structures. In constructing the nominal series we take into account the changes in capital goods' prices. The series are constructed using four different methods. Using time- and frequency-domain techniques, we compare the constructed series and characterize their short-run, business cycle, and long-run cyclical properties. We find that the constructed series exhibit very different cyclical and shock persistence dynamics. Practial implications are discussed.     

Capital Flows to Latin America (2003–17): A Critical Survey from Prebisch’s Business Cycle Theory

ABSTRACT

The economic literature on capital flows to developing countries has shared two important commonalities since the 1990s. Published works (whether they focus on the external situation or stress the domestic determinants of capital flows) tend to assume a beneficial effect of capital inflows, which leads to an improvement of peripheral institutions, whose deficiencies are ostensibly the main cause of economic turmoil and/or failure in attracting capital flows, in continuity with New Institutional Economics. In doing so, mainstream economists deliberately overlook the asymmetric characteristics of the international monetary system and the persisting hegemony of dollar. Raul Prebisch’s pioneering work on business cycles in Latin America provide an alternative view, one capable of amending the existing mainstream literature. On the one hand, Prebisch stressed the destabilizing role of capital inflows on Latin American economies, particularly short-term speculative capital. On the other hand, Prebisch designed a set of counter cyclical monetary policies in order to contrast capital volatility, particularly during downturns. An analysis of stylized facts shows that, when correctly updated, Prebisch’s theory has remarkable explanatory potential when applied to Latin America’s current economic and financial situation.     

The microfoundations of business cycles: an evolutionary, multi-agent model

This work presents an evolutionary model of output and investment dynamics yielding endogenous business cycles. The model describes an economy composed of firms and consumers/workers. Firms belong to two industries. The first one performs R&D and produces heterogeneous machine tools. Firms in the second industry invest in new machines and produce a homogenous consumption good. Consumers sell their labor and fully consume their income. In line with the empirical literature on investment patterns, we assume that firms’ investment decisions are lumpy and constrained by their financial structure. Simulation results show that the model is able to deliver self-sustaining patterns of growth characterized by the presence of endogenous business cycles. The model can also replicate the most important stylized facts concerning micro- and macro-economic dynamics.     

Agglomeration, integration and tax harmonisation

Consideration of agglomeration reverses standard theoretical propositions in international tax competition. We show greater economic integration may lead to a ‘race to the top’ rather than a race to the bottom. Also, ‘split the difference’ tax harmonisation may harm both nations, a result that may explain why real-world tax harmonisation is rare. The key is that industrial concentration creates ‘agglomeration rent.’ The ‘core’ region can thus charge a higher tax rate without losing capital. The size of such rent is a bell-shaped function of the level of integration, so the tax gap first widens before narrowing as integration increases.     

On the measurement and analysis of aggregate economic activity for China: the coincident economic indicators approach

This paper reviews some of China's high-frequency economic indicators and our principal findings on their selection and use. Our aim is to develop a composite index of coincident economic indicators (coincident economic index, CEI) which can be used to obtain timely information on the present state of the China's economy and provide an appropriate measure to analyze China's short-term macroeconomic dynamics. Notably, combining industrial production, retail sales, manufacturing employment, income of financial institutions and passenger traffic volume, they work well as the method for dating business cycles for China. It shows that, over the past two decades, there was one marked recession which occurred in 1988:8 to 1989:12. In addition to this business cycle chronology we also develop a growth cycle chronology based on the deviations from trend of the CE which shows that there have been four cyclical slowdowns since 1986. Whereas GDP growth lacks cyclical movements and appears to be dominated by trend and irregular movements, in contrast to GDP, the CEI works well as a measure of cyclical dynamics and can contribute to the analysis of short-term fluctuations of Chinese economic activity relative to its long-term growth.     

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.     

Business Cycles Between Developed and Developing Economies

This paper compares the stylized facts of international real business cycles between developed and developing countries. A two-sector two-country real business cycles model is constructed to examine the cyclical behaviors of domestic as well as international macroeconomic variables, and to evaluate the model's consistency with empirical observations. The model predicts correctly that consumption, investment, and saving are procyclical, while the trading balance/output ratio is countercyclical. There exist, however, some discrepancies between the model and the data.     

Schumpeterian cycles with pro-cyclical R&D

Recent empirical work finds that R&D expenditures are quite pro-cyclical even for firms that are not credit-constrained during downturns. This has been taken as strong evidence against Schumpeterian-style theories of business cycles that emphasize the idea that downturns in production may be good times to allocate labor towards innovative activities. Here we argue that the pro-cyclicality of R&D investment is in fact quite consistent with at least one of these theories. In our analysis we emphasize three key features of R&D investment relative to other types of innovative activity: (1) it uses knowledge intensively, (2) it is a long-term investment with uncertain applications, and (3) it suffers from diminishing returns over time.     

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     

Business cycles in a two-sector model of endogenous growth

Summary. This paper analyzes the impact of cyclical volatility on long-term economic growth: does growth increase or decrease with increased cyclical volatility? We construct a stochastic two-sector model of endogenous growth to analyze this question in detail. We will show that economic growth is higher in the presence of business cycles, since people devote more time to learning activities in an uncertain economic environment. Human capital is a hedge against future income uncertainty. Hence, the rate of economic growth will be higher in a stochastic environment. Based on a calibration of the model, we find that economic growth increases by 0.46%-point as a result of observed business cycle variability. When account is taken of the interaction between the model's general equilibrium and the cycle, welfare gains (measured in units of a permanent percentage increase in consumption) from eliminating business cycle volatility are approximately 1.87%. Received: January 25, 2000; revised version: November 3, 2000     

Are microfinance institutions resilient to economic slowdown? Evidence from their capital ratio adjustment over the business cycle

Prior studies using pre-crisis data concluded that microfinance institutions are resilient to economic crises. However, some recent studies indicate that the microfinance sector is becoming part of the global financial system and microfinance lending activities are now vulnerable to economic and financial crises. Capital being a key resource to support lending, this paper analyzes the cyclical behaviour of capital ratio using an international sample of microfinance institutions from 2001 to 2014. We uncover a negative relationship between their capital-to-assets ratios and business cycle indicators. This relationship mainly concerns regulated institutions, comprised mostly of profit-oriented MFIs, and is driven by both asset-side and capital level adjustments. We identify the lending channel (loan-to-assets ratio) as the main mechanism to explain these cyclical variations. Our findings are consistent with the “procyclicality” of capital regulation documented extensively in the banking literature. Hence, macro-prudential regulation for MFIs should target regulated and profit-oriented MFIs.     

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)     

Comparing technological hype cycles: Towards a theory

The notion of ‘hype’ is widely used and represents a tempting way to characterize developments in technological fields. The term appears in business as well as in academic domains. Consultancy firms offer technological hype cycle models to determine the state of development of technological fields in order to facilitate strategic investment decisions. In Science, Technology and Innovation Studies the concept of hype is considered in studies on the dynamics of expectations in innovation processes, which focuses on the performative force of expectations. What is still lacking is a theory of hype patterns that is able to explain the different shapes of hype cycles in different contexts. In this paper we take a first step towards closing this gap by studying and comparing the results of case studies on three hypes in three different empirical domains: voice over internet protocol (VoIP), gene therapy and high-temperature superconductivity. The cases differ in terms of the type of technology and the characteristics of the application environment. We conclude that hype patterns indeed vary a lot, and that the interplay of expectations at different levels affects the ability of a field to cope with hype and disappointment.     

From the Global to the National Cycle: An Intricate Liaison

This paper examines the linkages between the global business cycle and national cycles. We first analyse the evolution of the global business cycle and present its main properties during global recessions and recoveries. We then consider how the sensitivity of national cycles to the global cycle varies over different phases of the global cycle and depends on country‐specific features. Our findings collectively portray an intricate liaison between the global business cycle and national cycles. National business cycles are tightly linked to the global cycle, but the sensitivity of national cycles to the global cycle is much higher during global recessions than expansions. There are significant differences across countries in how they respond to the global cycle as advanced economies appear to be more sensitive to global recessions than are developing economies. Moreover, countries tend to be more sensitive to the global cycle, the more integrated they are to the global economy.     

IMPLEMENTATION CYCLES,INVESTMENT, AND GROWTH*

We develop a model of “intrinsic” cycles, driven by the decentralized behavior of entrepreneurs and firms making continuous, divisible improvements in their productivity. We show that when the introduction of productivity improvements is endogenous, implementation cycles arise even in the presence of reversible investment and consumption smoothing. The implied cyclical equilibrium is unique within its class and shares several features in common with actual business cycles. In particular, its predictions are qualitatively consistent with the joint behavior of the investment rate and Tobin's Q during U.S. recessions.     

Innovation, cycles and growth

The purpose of this paper is to present a model of growth with endogenous fluctuations. The main feature of our model is that it throws light on the relationships between long waves and business cycles in the economy. The driving forces in the model work in this way: endogenous R&D investment creates new cumulative knowledge. When this knowledge reaches a threshold H*, radical innovations occur which generate productivity growth via the substitution of old capital with new capital. These disruptive events appear recurrently, generating long waves and revitalizing the growth process. Short-term cycles in the model come from the interactions between these innovation-driven transformations and certain prey-predator mechanisms that involve the labor market. We find that our model presents excellent properties: the model generates endogenous cyclical growth as a disequilibrium process; persistent and irregular short cycles appear interwoven with the long waves; and there is a strong significant interaction between both kinds of fluctuations.     

AUSTRALIAN BUSINESS CYCLE FACTS*

This paper documents the post-war business cycle facts for Australia. The Hodrick-Prescott filter is used to remove the trend component from quarterly macroeconomic series. The business cycle facts we report are the volatilities of the cyclical (detrended) series and their cross correlations with cyclical real output. These facts are consistent with the business cycle facts reported for the United States, the United Kingdom and New Zealand with one exception. For most of the period since 1974, the real wage in Australia is strongly counter-cyclical whereas for these countries it is procyclical.     

Worker turnover at the firm level and crowding out of lower educated workers

This paper investigates whether employers exploit cyclical downturns to improve the average skill level of their work force. We use a unique dataset that contains information on workers, jobs as well as firm characteristics. Our findings are that at each job level mainly lower educated workers leave during downturns. Furthermore, at each level of job complexity, workers with a higher education are not more productive than lower educated workers. We find no evidence that higher educated workers crowd out lower educated workers during recessions.