Do Leading Indicators Really Predict Australian Business Cycle Turning Points?

In earlier work, Layton (1994) demonstrated how Hamilton's (1991) quasi-bayesian, markov (constant transition probability parameters), regime-switching model could be used to characterize the nature of the Australian business cvcle. However, Diebold, Lee and Weinbach (1992), Durland and McCurdy (1994), and Filardo(1994) have suggested approaches which allow the markov transition probabilities to he non-constant. In this paper the Australian coincident index is employed as a summative measure of the business cycle and the transition probability parameters are allowed to vary. In particular, leading and long leading indexes are used as putative determinants of these transition probabilities to test whether, in this framework, these indexes systematically influence the probability of phase changes in the business cycle.     

ASYMMETRIC EFFECTS OF THE BUSINESS CYCLE ON FIRM-FINANCED R&D

Abstract

Business cycles might affect the ability of firms to finance R&D, since firms rely on cash flow to finance most R&D activities. However, business cycles also influence the incentive to perform R&D. The opportunity cost of funds devoted to R&D falls during recessions, since the return on production will likely be lower than during an expansion. During recessions, this provides firms with an incentive to redistribute an existing pool of funds away from production and towards R&D projects. The changes in the size and distribution of the pool may also be asymmetric across the business cycle. For example, cash-flow constraints are more likely to bind during recessions than expansions. This paper finds strong evidence for the cash-flow effect, but not the opportunity-cost effect. This means that R&D is pro-cyclical, but smoothing out the business cycle will actually lead to reduced R&D, since the duration of expansions exceeds the duration of recessions.     

Asymmetry and Duration Dependence in Australian GDP and Unemployment

The periodic structure of business cycles suggests that significant asymmetries are present over different phases of the cycle. This paper uses markov regime-switching models with fixed and duration dependent trasition probabilities to directly model expansions, contractions and durations in Australian GDP growth and unemployment growth. Evidence is found of significant asymmetry in growth rates across expansions and contractions for both series. GDP contractions exhibit duration dependence implying that as output recessions age the likelihood of switching into an expansion phase increases. Unemployment growth does not exhibit duration dependence in either phase. Evidence is also presented that non-linearities in unemployment growth are well explained by the asymmetries in the GDP growth cycle. The analysis suggests that recessions are periods of rapid and intense job destruction, that Australian unemployment tends to ratchet up in recessionary periods and, in contrast to US and UK studies, that shocks to Australian unemployment growth are more persistent in recessions than expansions.     

Can oil shocks explain asymmetries in the US Business Cycle?

We consider whether oil prices can account for business cycle asymmetries. We test for asymmetries based on the Markov switching autoregressive model popularized by Hamilton (1989), using the tests devised by Clements and Krolzig (2000). We find evidence against the conventional wisdom that recessions are more violent than expansions: while some part of the downturn in economic activity that characterises recessionary periods can be attributed to dramatic changes in the price of oil, post-War US economic growth is characterized by the steepness of expansions. First Version Received: December 2000/Final Version Received: September 2001     

A Markov‐Switching Model Of Gnp Growth With Duration Dependence*

A Markov‐switching model of postwar quarterly real GNP growth is used to examine the duration dependence of business cycles. It extends the Hamilton model and the duration‐dependent model of Durland and McCurdy, and compares quite favorably to simpler models in out‐of‐sample forecasting. When an expansion begins, the probability of the expansion ending is 0.2, but it gradually decreases as the expansion ages. When a contraction begins, the probability of the contraction terminating is 0.07, but it increases rapidly as the contraction ages. Output growth slows over the course of an expansion. The hypothesis of the 7–10‐year cycle is not supported.     

Business cycle duration dependence and foreign recessions

This study revisits business cycle duration dependence in G7 countries by controlling for foreign recessions, defined as the number of other G7 countries in a recession. Estimates from regime switching logit models show that the monthly likelihood of ending an expansion roughly doubles for every extra G7 country in recession, but the end of foreign recessions do not affect the ending of recessions. They also show that recessions are duration dependent in all G7 countries, but expansions only in the United States and Germany. The economic importance of foreign recessions and duration in driving business cycle phase changes vary across countries.     

Some empirical evidence on the ‘discouraged worker’ effect

This note produces empirical evidence on the existence of a significant ‘discouraged worker’ effect in US data–namely, on the tendency for groups of secondary workers to move in and out of the labor force with the business cycle, looking for jobs when these are available, while giving up job search during recessions — by focusing on the behavior of the ‘not in the labor force’ series, as well as of two of its segments (‘going to school’, and ‘keeping house’), at the business-cycle frequencies. Both in the aggregate, and for a number of age–sex groups, the series display a clear counter-cyclical pattern, thus lending support to the discouraged worker notion.     

Time-varying persistence in US inflation

The persistence property of inflation is an important issue not only for economists, but especially for central banks, given that the degree of inflation persistence determines the extent to which central banks can control inflation. Further, not only is it the level of inflation persistence that is important in economic analyses, but also the question of whether the persistence varies over time, for instance, across business cycle phases, is equally pertinent, since assuming constant persistence across states of the economy is sure to lead to misguided policy decisions. Against this backdrop, we extend the literature on long-memory models of inflation persistence for the US economy over the monthly period of 1920:1–2014:5, by developing an autoregressive fractionally integrated moving-average-generalized autoregressive conditional heteroskedastic model with a time-varying memory coefficient which varies across expansions and recessions. In sum, we find that inflation persistence does vary across recessions and expansions, with it being significantly higher in the former than in the latter. As an aside, we also show that persistence of inflation volatility is higher during expansions than in recessions. Understandably, our results have important policy implications.     

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.     

Demand shocks and firm-financed R&D expenditures

Business cycles might affect firms'?ability and incentive to perform R&;D. Firms finance most R&;D activities out of cash flow so when cash flow decreases the funds available for R&;D also decreases. This limits the ability of firms to perform R&;D, potentially leading to reduced R&;D expenditures during recessions. However, business cycles also influence the incentive to perform R&;D. The opportunity cost of funds devoted to R&;D falls during recessions since the return on production will likely be lower than during an expansion. During recessions, this provides firms with an incentive to redistribute an existing pool of funds away from production and towards R&;D projects. This paper tests whether the business cycle influences the incentive and ability of firms to engage in R&;D activities, in particular examining whether the response is symmetric across the business cycle.     

Foreign Direct Investment and Contract Enforcement

A long-standing deterrent to foreign direct investment in developing countries is weak enforcement of binding contracts. A local firm may learn business skills from a cooperating multinational firm and subsequently do business on its own based on the acquired skills. In a two-period, double-moral-hazard model, non-binding contracts are shown to be preferred by all parties, implying that contract enforcement is unnecessary. Our results shed light on the puzzling phenomenon that substantial FDI has been carried out under contractual arrangements in developing countries in which contract enforcement is problematic. They can also explain some interesting stylized facts on contractual joint ventures between multinationals and local firms in the early stage of an economic transition.J. Comp. Econom.,December 1998, 26(4), pp. 761–782. School of Business, The University of Hong Kong, Hong Kong; and Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.     

Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms

A dynamic random variables model correcting for heteroskedastic and correlated error terms over time and space and dynamic demand and using panel county data offers consistent and efficient elasticity estimates of residential electricity and natural gas demands. The model developed by Swamy [Swamy, P.A.V.B., 1974. Linear models with random coefficients. In: P. Zarembka (Eds.), Frontiers in Econometrics, Academic Press, London, pp. 143–168.] with a modification suggested by Maddala et al. [Maddala, G.S., Trost, R.P., Li, H., Joutz, F., 1997. Estimation of short-run and long-run elasticities of energy demand from panel data using shrinkage estimators. Journal of Business and Economic Statistics 15, 90–100.] uses a panel of selected California counties for the years 1983–1997 to yield elasticity estimates that differ from those obtained from more standard panel data procedures.     

Quarterly US unemployment: Cycles,seasons and asymmetries

This paper documents three stylized facts for the quarterly unemployment rate in the United States. Firstly, unemployment is asymmetric over the business cycle, i.e. it rises sharply in recessions and it falls slowly in expansions. Secondly, its seasonal fluctuations are not constant across the two business cycle stages in the sense that there is less seasonality in recession periods. Thirdly, the effect of shocks to the unemployment rate in expansions seem transitory, while this effect is permanent in recessions. Some implications of these stylized facts for empirical macroeconomics and seasonal adjustment are discussed.     

Reexamining the permanent income hypothesis with uncertainty in permanent and transitory innovation states

In this paper, we reexamine the permanent income–consumption relationship analytically and empirically, based on the innovation regime-switching (IRS) model developed in [Kuan, C.M., Huang, Y.L., Tsay, R.S., 2005. An unobserved component model with switching permanent and transitory innovations. Journal of Business and Economic Statistics, 23, 443–454]. A novel feature of the IRS model is that it explicitly allows for uncertainty in innovation states. When the labor income follows an IRS process, it is shown that the agent’s perception on the likelihoods of income innovations being permanent and transitory plays a crucial role in determining the optimal forecasts on the change of consumption. The effect of a current labor income innovation on consumption is a weighted average of two distinct effects resulting from permanent and transitory innovations with the weights equal to the perceived likelihoods of the respective states. Also, past innovations may affect consumption when there are revisions in the perceived likelihoods of previous states. Our empirical study on US data shows that consumption indeed reacts significantly to the perceived likelihoods of innovation states. However, even after controlling for the effect of state uncertainty, we find consumption vastly underreacts to permanent innovations in labor income but reacts about the right magnitude to transitory ones when compared with the prediction of the permanent income hypothesis. This evidence is similar to [Elwood, S.K., 1998. Testing for excess sensitivity in consumption: A state-space unobserved components approach. Journal of Money, Credit, and Banking, 30, 64–82] but in sharp contrast with that found in [Hall, R.E., Mishkin, F.S., 1982. The sensitivity of consumption to transitory income: Estimates from panel data on households. Econometrica, 50, 461–480].     

A comprehensive German business cycle chronology

Business cycle chronologies offer reference points for empirical studies used as benchmarks for business cycle and recession theory. A quasi-official chronology exists for the US economy, but not for most European countries, including Germany. While most papers dealing with business cycle dates rely on one specific method, I present and discuss a number of different dating approaches based on the classical business cycle. These are applied to German GDP data comprising 1970–2006. Finally, based on the results of the different methods, a consensus business cycle chronology for the German economy is suggested.     

How should environmental policy respond to business cycles? Optimal policy under persistent productivity shocks

How should environmental policy respond to economic fluctuations caused by persistent productivity shocks? This paper answers that question using a dynamic stochastic general equilibrium real business cycle model that includes a pollution externality. I first estimate the relationship between the cyclical components of carbon dioxide emissions and US GDP and find it to be inelastic. Using this result to calibrate the model, I find that optimal policy allows carbon emissions to be procyclical: increasing during expansions and decreasing during recessions. However, optimal policy dampens the procyclicality of emissions compared to the unregulated case. A price effect from costlier abatement during booms outweighs an income effect of greater demand for clean air. I also model a decentralized economy, where government chooses an emissions tax or quantity restriction and firms and consumers respond. The optimal emissions tax rate and the optimal emissions quota are both procyclical: during recessions, the tax rate and the emissions quota both decrease.     

Income inequality, democracy and growth reconsidered

Persson and Tabellini (Persson, T., Tabellini, G., 1992a. Growth, distribution and politics. Eur. Econ. Rev. 36, 593–602; Persson, T., Tabellini, G., 1992b. Growth, distribution and politics. In: Cukierman, A., Hercowitz, Z., Leiderman, L. (Eds.), Political Economy, Growth, and Business Cycles. MIT Press, Cambridge, MA, pp. 3–22; Persson, T., Tabellini, G., 1994. Is inequality harmful for growth? Am. Econ. Rev. 84, 600–621) as well as Alesina and Rodrik (Alesina, A., Rodrik, D., 1992. Distribution, political conflict, and economic growth. In: Cukierman, A., Hercowitz, Z., Leiderman, L. (Eds.), Political Economy, Growth, and Business Cycles. MIT Press, Cambridge, MA, pp. 23–50; Alesina, A., Rodrik, D., 1994. Distributive politics and economic growth, Q. J. Econ. 109, 465–490) have argued that income inequality reduces economic growth rates among democracies because it promotes distributional struggles. In this paper I question the supportive evidence for a number of reasons. Measures of income distribution and democracy are unreliable and permit only very tentative conclusions. Changes in data sources or recoding of some influential cases affect results. It is questionable whether equality effects on growth apply only within democracies, as a median voter interpretation of this relationship should make one expect. The general idea that distributional struggle hurts the growth prospects of nations, however, receives some empirical support.     

Capital–skill complementarity and inequality: A sensitivity analysis

Krusell et al. in [Krusell, P., Ohanian, L., Ríos-Rull, J.V., Violante, G.L., 2000. Capital–skill complementarity and inequality: A macroeconomic analysis. Econometrica 68 (5), 1029–1053] analyzed the capital–skill complementarity hypothesis as an explanation for the behavior of the US skill premium. We refit Krusell et al.'s [Krusell, P., Ohanian, L., Ríos-Rull, J.V., Violante, G.L., 2000. Capital–skill complementarity and inequality: A macroeconomic analysis. Econometrica 68 (5), 1029–1053] model with two alternative capital equipment price series: One proposed by Greenwood et al. [Greenwood, J., Hercowitz, Z., Krusell, P., 1997. Long-run implications of investment-specific technological change. Amer. Econ. Rev. 87 (3), 342–362] and the official, revised National Income and Product Accounts (NIPA) data. We find that capital–skill complementarity is preserved, but other results were sensitive to the data used. Specifically, the fit of the model was similar to Krusell et al.'s [Krusell, P., Ohanian, L., Ríos-Rull, J.V., Violante, G.L., 2000. Capital–skill complementarity and inequality: A macroeconomic analysis. Econometrica 68 (5), 1029–1053] using the NIPA data, but not the Greenwood et al. [Greenwood, J., Hercowitz, Z., Krusell, P., 1997. Long-run implications of investment-specific technological change. Amer. Econ. Rev. 87 (3), 342–362] data. Also, both series produce estimates of the elasticity of substitution between unskilled labor and equipment that are substantially larger than Krusell et al.'s [Krusell, P., Ohanian, L., Ríos-Rull, J.V., Violante, G.L., 2000. Capital–skill complementarity and inequality: A macroeconomic analysis. Econometrica 68 (5), 1029–1053] estimates.     

Changes in cyclical patterns of the USA labor market: from the perspective of nonlinear Okun’s law

The validity of Okun’s law has been debated because of the increase in cyclicality in aggregate hours after 1985. To investigate this, I measure Okun’s coefficients in three phases of the business cycle – recession, early, and late expansions. I found that an increased coefficient for aggregate hours is due to the increased responsiveness of the employment rate during late expansions and to the increased responsiveness of hours per employee during early expansions. These findings question the flexible labor market hypothesis focusing on firms’ firing behaviors during recessions. Rather, working hours’ flexibility represents a more prominent feature of the post-1985 USA labor market.     

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.