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     

Improving GARCH volatility forecasts with regime-switching GARCH

Many researchers use GARCH models to generate volatility forecasts. Using data on three major U.S. dollar exchange rates we show that such forecasts are too high in volatile periods. We argue that this is due to the high persistence of shocks in GARCH forecasts. To obtain more flexibility regarding volatility persistence, this paper generalizes the GARCH model by distinguishing two regimes with different volatility levels; GARCH effects are allowed within each regime. The resulting Markov regime-switching GARCH model improves on existing variants, for instance by making multi-period-ahead volatility forecasting a convenient recursive procedure. The empirical analysis demonstrates that the model resolves the problem with the high single-regime GARCH forecasts and that it yields significantly better out-of-sample volatility forecasts. First Version Received: November 2000/Final Version Received: August 2001     

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.     

Seasonality and Markov switching in an unobserved component time series model

It is generally acknowledged that the growth rate of output, the seasonal pattern, and the business cycle are best estimated simultaneously. To achieve this, we develop an unobserved component time series model for seasonally unadjusted US GDP. Our model incorporates a Markov switching regime to produce periods of expansion and recession, both of which are characterized by different underlying growth rates. Although both growth rates are time-varying, they are assumed to be cointegrated. The analysis is Bayesian, which fully accounts for all sources of uncertainty. Comparison with results from a similar model for seasonally adjusted data indicates that the seasonal adjustment of the data significantly alters several aspects of the full model. First Version Received: January 2001/Final Version Received: February 2002 Send offprint requests to: Rob Luginbuhl?Correspondence to: Rob Luginbuhl     

Is there an asymmetric effect of monetary policy over time? A Bayesian analysis using Austrian data.

The present paper assesses whether monetary policy effects are asymmetric over the business cycle by estimating a univariate model for GDP including additionally the first difference of the 3-month Austrian interest rate as a measure for monetary policy. The asymmetry of the effects is captured by allowing for state-dependent parameters where the latent state variable follows a Markov switching process. The model is estimated within a Bayesian framework using Markov Chain Monte Carlo simulation methods. Model selection and specification tests are performed by means of marginal likelihood. The results document significant negative effects of monetary policy during periods of below-average growth, while the effect seems insignificant during periods of normal or above-average growth. These results corroborate those derived in theoretical models assuming price rigidities and implying a convex supply curve. Additionally, the concern of using appropriate state-identifying restrictions is raised to obtain an unbiased posterior inference. Finally, the analysis concludes by assessing the robustness of the results with respect to alternative measures of monetary policy. First Version Received: December 2000/Final Version Received: May 2001     

Employment and output effects of financial shocks

This paper develops a New Keynesian model featured with financial frictions in the form of an exogenous credit constraint to explore the employment and output effects of financial shocks. I show that the equity payout adjustment costs are crucial for the transmission mechanism of financial shocks. The model is estimated using the Bayesian methods and simulated using the observed exogenous shocks for two periods, 1954:III–1983:IV and 1984:I–2015:I. Overall, it is found that financial shocks can account for the observed dynamics of employment and output, especially the sharp decreases during the Great Recession 2007–2008. Additionally, the financial shock is the third and second biggest contributor to output and employment variations, respectively, in the earlier period, but it turns out to be the main source of employment and output fluctuations in the later period. I find that firms are faced higher equity payout adjustment costs in the period 1984:I–2015:I, which accounts for greater variations in the equity payouts in the period.     

Macroeconomic volatility and anti-refugee violence in developing countries: Evidence from commodity price shocks

I investigate the effect of macroeconomic (output) volatility on anti-refugee violence in developing countries. Opportunity cost, rapacity, and state capacity theories predict ambiguous effects. For causal inference I leverage output volatility caused by plausibly exogenous commodity price shocks. I find that adverse commodity price shocks increase both violence of natives against refugees and violence between refugees. My results suggest that anti-refugee violence increases during recessions and decreases during economic booms.     

The Australian Business Cycle: Joe Palooka or Dead Cat Bounce?

We address the question of whether asymmetry in the business cycle and asymmetry in the persistence of negative versus positive shocks characterises Australian output growth. Using nonlinear time series models we provide some evidence consistent with the idea that Australian output growth is characterised by three distinct phases: contractions, high-growth recovery periods and 'normal' or moderate growth periods. This implies that Australian output fluctuations have a significant transitory component and is supportive of the 'output-gaps' view and 'plucking' model view of economic fluctuations. In contrast to recent evidence for the US and Canada however, we find that Australian GDP growth does not exhibit important asymmetries in the responses of output growth to positive and negative shocks.     

Do credit shocks matter? A global perspective

This paper examines the importance of credit market shocks in driving global business cycles over the period 1988:1–2009:4. We first estimate common components in various macroeconomic and financial variables of the G-7 countries. We then evaluate the role played by credit market shocks using a series of VAR models. Our findings suggest that these shocks have been influential in driving global activity during the latest global recession. Credit shocks originating in the United States also have a significant impact on the evolution of world growth during global recessions.     

A graphical representation of an estimated DSGE model

We write a New Keynesian model as an aggregate demand curve and an aggregate supply curve, relating inflation to output growth. The graphical representation shows how structural shocks move aggregate demand and supply simultaneously. We estimate the curves on US data from 1948 to 2010 and study two recessions: the 2001 recession and the Great Recession of 2008–2009. The Great Recession is explained by a collapse of aggregate demand driven by adverse preference and permanent technology shocks, and expectations of low inflation.     

Identifying Long Run Supply Curve of India

Identifications of a vertical then a horizontal supply curve are successively imposed on Indian time series inflation and industrial output growth data in a two-equation Structural Vector Autoregression (SVAR) model. The results provide an indirect test of the identifications. A high elasticity of long run supply cannot be ruled out, because supply shocks have a large impact on inflation and demand has a large and persistent effect on output levels. But supply is subject to frequent shocks. Estimated structural shocks, capture historical recessions and turning points well. Pro-cyclical policy induced demand shocks aggravated negative supply shocks or failed to take full advantage of positive supply side developments.

     

The cause of Danish unemployment: Demand or supply shocks?

We study the Danish unemployment experience 1905–92 using a common trends model with cointegration constraints. To justify the identifying assumptions about the cointegration vectors and the common trends we present a simple macroeconomic model of the labor market. The model determines the long run behavior of labor productivity, employment, unemployment, real product and real consumer wages. The empirical results give support for three cointegration relations and two common trends. Based on the economic model the trends are interpreted as representing labor productivity (technology) and labor supply. With unemployment being nonstationary, the common trends analysis indicates that labor supply shocks is the primary source for explaining the behavior of unemployment. First Version Received: August 1999/Final Version Received: June 2000     

Confidence and the transmission of macroeconomic uncertainty in U.S. recessions

This article studies the role of confidence in the transmission of uncertainty shocks during U.S. recessions. I use smooth-transition vector-autoregression (ST-VAR) to examine the regime-dependent effect of uncertainty shocks, and a counterfactual decomposition to isolate the role of confidence when the economy is in different regimes, recessions and non-recessions. I find that shutting down the confidence channel leads to greatly dampened and less persistent effects of uncertainty shocks, especially during recessions. I also find that the cross-regime difference in the role of confidence can largely explain the cross-regime short-run difference in the effects of uncertainty shocks.     

Power issues when testing the Markov switching model with the sup likelihood ratio test using U.S. output

The likelihood ratio (LR) test statistic for the test of a linear AR(1) model against the alternative of a Markov switching model does not possess the standard χ² distribution. Garcia (1998) derives the asymptotic distribution of the Sup LR test statistic under these non-standard conditions allowing the researcher to easily compare the two models. This paper examines the power properties of this test statistic using Monte Carlo experiments calibrated to U.S. output growth data. The results suggest a test of reasonable power. When the experiments are calibrated to annual data, power is 82% at 200 observations. When the experiments are calibrated to quarterly data power is 57% for the same sample size. First Version Received: March 2000/Final Version Received: March 2001     

Recessions and Potential Output: Disentangling Measurement Errors,Supply Shocks,and Hysteresis Effects*

This paper investigates expert revisions of potential output (PO) estimates following recessions. Using data from the Organisation for Economic Co-operation and Development (OECD), we show that downward revisions are substantial, permanent, and mostly driven by supply shocks. In contrast, PO estimates do not significantly react to demand shocks. Revisions are also partly caused by mismeasurement of PO before recessions. In particular, we show that the length of the preceding boom and pre-recession values of the current account balance and credit volumes are correlated with post-recession PO revisions. Our results call for improved methods for estimating PO and provide evidence against the existence of substantial hysteresis following demand shocks.     

Fiscal multipliers in the Eurozone: an SVAR analysis

We compute the value of fiscal multipliers (for government primary expenditure, Income and wealth taxes and for Production and import taxes) in the Eurozone countries since the creation of the currency union (2000Q1-2016Q4), in order to understand how the values can vary according to the public debt level, the pace of economic growth, and the output gap. Imposing quarterly fiscal shocks, the results showed that government expenditure had a positive effect on output, with an annual accumulated multiplier of 0.44, whereas tax multipliers presented negative signs: the Income and wealth and the Production and import taxes stood at ?0.11 and ?0.55, respectively. Furthermore, the spending multiplier showed a higher value for countries with lower levels of public debt, during recessions, and in countries with negative output gaps. On the other hand, tax shocks seemed to be recessive in highly indebted countries and those facing positive output gaps.     

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.     

A Markov–switching vector equilibrium correction model of the UK labour market

There is a wide literature on the dynamic adjustment of employment and its relationship with the business cycle. In this paper we present a statistical model that offers a congruent representation of part of the UK labour market since the mid 1960s. We use a cointegrated vector autoregressive Markov-switching model in which some parameters change according to the phase of the business cycle. Output, employment, labour supply and real earnings are found to have a common cyclical component. The long run dynamics are characterized by one cointegrating vector relating unemployment to trend-adjusted real wages and output. Despite there having been many changes affecting this sector of the UK economy, the Markov-switching vector-equilibrium-correction model with three regimes (representing recession, normal growth, and high growth) provides a good characterization of the sample data, and performs well relative to alternative linear and non-linear models. The results of an impulse-response analysis highlight the dangers of using VARs when the constancy of the estimated coefficients has not been established, and demonstrate the advantages of generating regime dependent responses. First Version Received: December 2000/Final Version Received: August 2001     

Fiscal policy over the real business cycle: A positive theory

This paper explores the implications of the political economy model of Battaglini and Coate (2008) [8] for the behavior of fiscal policy over the business cycle. The model predicts that fiscal policy is counter-cyclical with debt increasing in recessions and decreasing in booms. Public spending increases in booms and decreases during recessions, while tax rates decrease during booms and increase in recessions. In both booms and recessions, fiscal policies are set so that the marginal cost of public funds obeys a submartingale. When calibrated to the US economy, the model broadly matches the empirical distribution of debt and also its negative correlation with output. However, the predictions of pro-cyclical spending and counter-cyclical taxation do not find empirical support. The calibrated model generates the same fit of the data as a benevolent government model in which the government faces an exogenous lower bound on debt. Nonetheless, the two models have very different comparative static implications.     

How does population aging affect the effectiveness of fiscal stimulus over the business cycle?

What is the impact of population aging on the effectiveness of fiscal stimulus over the business cycle? We address this question by estimating state-dependent fiscal multipliers in member countries of the Organisation for Economic Co-operation and Development (OECD). A government spending shock is identified as a forecast error of government spending and its output effect is estimated by using the local projection method. We find that there is no effect of population aging on output effects of fiscal spending shocks in expansionary times, whereas in recessions the output effects of fiscal spending shocks are weakened as population ages. This result points to important policy implications in that population aging would call for a larger fiscal stimulus to support aggregate demand during recession. Thus, this requires a larger fiscal space to allow for a wider swing of the fiscal position without creating concerns for fiscal sustainability.