The non‐linear dynamics of output and unemployment in the U.S.

This paper studies the joint dynamics of U.S. output and unemployment rate in a non‐linear VAR model. The non‐linearity is introduced through a feedback variable that endogenously augments the output lags of the VAR in recessionary phases. Sufficient conditions for the ergodicity of the model, potentially applying to a larger class of threshold models, are provided. The linear specification is rejected in favour of our threshold VAR. However, in the estimation the feedback is found to be statistically significant only on unemployment, while it transmits to output through its cross‐correlation. This feedback effect from recessions generates important asymmetries in the propagation of shocks, a possible key to interpret the divergence in the measures of persistence in the literature. The regime‐dependent persistence also explains the finding that the feedback from recession exerts a positive effect on the long‐run growth rate of the economy, an empirical validation of the Schumpeterian macroeconomic theories. Copyright © 2001 John Wiley & Sons, Ltd.     

Persistence and non-linearity in US unemployment: A regime-switching approach

This article examines persistence and nonlinearity in the US unemployment rate in the post-war period by using a regime-switching unit root test. The empirical results indicate that a regime-switching unit root test outperforms conventional unit root tests and describes unemployment behavior better over the business cycle in the sample. While shocks to US unemployment dissipate in expansions, shocks to the unemployment rate seem to be persistent in recessions, supporting the hysteresis hypothesis. This is consistent with the usual explanation of hysteresis that workers may lose valuable job skills in protracted recessions.     

Money‐output Causality Revisited – A Bayesian Logistic Smooth Transition VECM Perspective*

This article proposes a Bayesian approach to examining money‐output causality within the context of a logistic smooth transition vector error correction model. Our empirical results provide substantial evidence that the postwar US money‐output relationship is nonlinear, with regime changes mainly governed by the output growth and price levels. Furthermore, we obtain strong support for nonlinear Granger causality from money to output, although there is also some evidence for models indicating that money is not Granger causal or long‐run causal to output.     

Measuring and predicting heterogeneous recessions

This paper examines the usefulness of a more refined business cycle classification for monthly industrial production (IP), beyond the usual distinction between expansions and contractions. Univariate Markov-switching models show that a three regime model is more appropriate than a model with only two regimes. Interestingly, the third regime captures ‘severe recessions’, contrasting the conventional view that the additional third regime represents a ‘recovery’ phase. This is confirmed by means of Markov-switching vector autoregressive models that allow for phase shifts between the cyclical regimes of IP and the Conference Board's Leading Economic Index (LEI). The timing of the severe recession regime mostly corresponds with periods of substantial financial market distress and severe credit squeezes, providing empirical evidence for the ‘financial accelerator’ theory.     

Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model: An application to the German business cycle

We estimate a Markow-switching dynamic factor model with three states based on six leading business cycle indicators for Germany, preselected from a broader set using the elastic net soft-thresholding rule. The three states represent expansions, normal recessions and severe recessions. We show that a two-state model is not sensitive enough to detect relatively mild recessions reliably when the Great Recession of 2008/2009 is included in the sample. Adding a third state helps to distinguish normal and severe recessions clearly, so that the model identifies all business cycle turning points in our sample reliably. In a real-time exercise, the model detects recessions in a timely manner. Combining the estimated factor and the recession probabilities with a simple GDP forecasting model yields an accurate nowcast for the steepest decline in GDP in 2009Q1, and a correct prediction of the timing of the Great Recession and its recovery one quarter in advance.     

Cyclical output,cyclical unemployment,and Okun's coefficient: A new approach

Estimates of Okun's coefficient are obtained using new estimates of cyclical GNP and cyclical unemployment rates for the post-war USA. Empirical estimates of the coefficient are near —0.25, somewhat smaller in magnitude than other recent estimates obtained applying similar econometric techniques to different estimates of cyclical output and unemployment. Tests fail to reject the hypothesis of parameter stability across an hypothesized break between the third and fourth quarters of 1973, suggesting similar relationships between cyclical output and unemployment both before and after the supply shocks of the 1970s.     

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.     

Stochastic trends,deterministic trends,and business cycle turning points

This study examines the relationship between specifications for long-run output patterns and specifications for business cycle dynamics. In an application to US GDP, it is found that inferences about the nature of the trend in output are not robust to changes in the specification for short-run fluctuations. Similarly, the choice of which model best describes the transitory movements in output depends on the way in which the trend is specified. The empirical analysis makes use of Bayesian methods to compare time series models for US GDP. Inspection of the predictive densities for the individual data points suggests that the information contained in the data is largely limited to the observations associated with business cycle turning points. © 1997 John Wiley & Sons, Ltd.     

Mind the Output Gap: The Disconnect of Growth and Inflation during Recessions and Convex Phillips Curves in the Euro Area

We develop a theoretical model that features a business cycle‐dependent relation between output, price inflation and inflation expectations, augmenting the model by Svensson (1997) with a nonlinear Phillips curve that reflects the rationale underlying the capacity constraint theory (Macklem, 1997). The theoretical model motivates our empirical assessment, based on a regime‐switching Phillips curve and a regime‐switching monetary structural VAR, employing different filter‐based, semi‐structural model‐based and Bayesian factor model‐implied output gaps. The analysis confirms the presence of a convex relationship between inflation and the output gap, meaning that the coefficient in the Phillips curve on the output gap recurringly increases during times of expansion and abates during recessions. Sign‐restricted monetary policy shocks based on a regime‐switching monetary SVAR reveal that expansionary monetary policy induces less pressure on inflation at times of weak as opposed to strong growth; thereby rationalizing relatively stronger expansionary policy, including unconventional volume‐based policy, during times of deep recession. A further augmented model shows that an effective euro exchange rate shock, too, implies business cycle state‐dependent responses, with more upward pressure on prices arising from unexpected currency depreciation at times of expansion than during recession phases.     

Temporal causality between house prices and output in the US: A bootstrap rolling-window approach

This paper examines the causal relationships between the real house price index and real GDP per capita in the US, using the bootstrap Granger (temporal) non-causality test and a fixed-size rolling-window estimation approach. We use quarterly time-series data on the real house price index and real GDP per capita, covering the period 1963:Q1 to 2012:Q2. The full-sample bootstrap non-Granger causality test result suggests the existence of a unidirectional causality running from the real house price index to real GDP per capita. A wide variety of tests of parameter constancy used to examine the stability of the estimated vector autoregressive models indicate short- and long-run instability. This suggests that we cannot rely on the full-sample causality tests and, hence, this warrants a time-varying (bootstrap) rolling-window approach to examine the causal relationship between these two variables. Using a rolling window size of 28 quarters, we find that while causality from the real house price to real GDP per capita occurs frequently, significant, but less frequent, evidence of real GDP per capita causing the real house price also occurs. These results imply that while the real house price leads real GDP per capita, in general (both during expansions and recessions), significant feedbacks also exist from real GDP per capita to the real house price.     

Output and unemployment dynamics in the United States: 1950–1985

For US data over 1950–1985 the stochastic components of GNP growth and the unemployment rate appear to be stationary, and there is substantial feedback between these variables. The unconditional mean rate of unemployment in a joint model thus provides a natural benchmark in discussions of the ‘business cycle’. A bivariate VAR model is used to describe output–unemployment dynamics, to estimate the degree of persistence of output innovations, and to decompose output into trend and cycle. The bivariate results are interpreted using a restricted VAR and it is shown that a closely related cyclical measure can be obtained directly from the Okun's Law equation.     

Markov-switching and the Beveridge–Nelson decomposition: Has US output persistence changed since 1984?

We show that, for a class of univariate and multivariate Markov-switching models, exact calculation of the Beveridge–Nelson (BN) trend/cycle components is possible. The key to exact BN trend/cycle decomposition is to recognize that the latent first-order Markov-switching process in the model has an AR(1) representation, and that the model can be cast into a state-space form. Given the state-space representation, we show that impulse-response function analysis can be processed with respect to either an asymmetric discrete shock or to a symmetric continuous shock. The method presented is applied to Kim, Morley, Piger’s [Kim, C.-J., Morley, J., Piger, J., 2005. Nonlinearity and the permanent effects of recessions. Journal of Applied Econometrics 20, 291–309] univariate Markov-switching model of real GDP with a post-recession ‘bounce-back’ effect and Cochrane’s [Cochrane, J.H., 1994. Permanent and transitory components of GNP and stock prices. Quarterly Journal of Economics 109, 241–263] vector error correction model of real GDP and real consumption extended to incorporate Markov-switching. The parameter estimates, the BN trend/cycle components, and the impulse-response function analysis for each of these empirical models suggest that the persistence of US real GDP has increased since the mid-1980’s.     

A nonlinear long memory model, with an application to US unemployment

Two important empirical features of US unemployment are that shocks to the series seem rather persistent and that it seems to rise faster during recessions than that it falls during expansions. To jointly capture these features of long memory and nonlinearity, we put forward a new time series model and evaluate its empirical performance. We find that the model describes the data rather well and that it outperforms related competitive models on various measures of fit.     

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.     

A Complete Decomposition of Unemployment Dynamics using Longitudinal Grouped Duration Data*

In this paper, we study the unemployment dynamics in the Belgian regions, Flanders and Wallonia, on the basis of aggregate stratified data covering the period 1973–93. We decompose the aggregate exit probability from unemployment into calendar time and, both observed and unobserved, compositional effects. We find that changes in the inflow composition affect the cyclical fluctuations in unemployment duration only marginally. However, the long‐run improvement in the quality of entrants into unemployment, notably in terms of educational attainment, mitigates the strong upward trend in this duration. This is a new result as none of the existing studies purges the trend in the aggregate outflow rate of the variation in its composition. We also conclude that in Belgium, incidence explains as much as 45% of the evolution of unemployment. Finally, the diverging evolution of unemployment across Flanders and Wallonia predominantly results from a stronger decline in the exit rates from unemployment in Wallonia.     

On-the-job search and cyclical unemployment: Crowding out vs. vacancy effects

Incorporating on-the-job search (OTJS) into a real business cycle model has been shown to increase the cyclical volatility of unemployment. Using a particularly simple model of OTJS, we show that the increased search of employed workers during expansions induces firms to open more vacancies, but also crowds out unemployed workers in the job search, resulting in an ambiguous overall effect on unemployment volatility. We show analytically and numerically that the difference between the employer׳s share of the match surplus with an employed versus an unemployed job seeker determines the degree to which OTJS increases unemployment volatility. We use this result to re-consider some related papers of OTJS and explain the amplification of volatility they obtain. Finally, we show that a plausible calibration of the OTJS model allows us to reproduce most significant features of the US labor data.     

World trade recovering but still reasons for caution

• ? World trade has picked up in recent months, expanding at the fastest pace in six years in the first quarter, with the rise fairly evenly split between advanced and emerging markets. Stronger activity in China and a broader upturn in global investment have been key factors. But there are still reasons for caution. Although the ‘cyclical’ element in world trade is improving, the ‘trend’ element is not thanks to changes in supply chains and a lack of trade liberalisation.
• ? World trade growth looks set to reach about a 4% annual rate in Q1 2017, the fastest pace since 2011. Alternative freight‐based indicators confirm the upturn. This suggests some modest near‐term upside risk to our world growth forecasts.
• ? Recent growth has been evenly split between advanced countries and emerging markets (EM). In EM, the end of deep recessions in Russia and Brazil and an upturn in China have been key factors. China directly added 0.5 percentage points to annual world trade growth over recent months and firmer growth there has also pushed up commodity prices and the spending power and imports of commodity exporters.
• ? Another important positive factor is an improvement in investment, which is a trade‐intensive element of world GDP. Rising capital goods imports across a range of countries suggest the drag on world trade from weak investment is fading.
• ? The decline in the ratio of world trade growth to world GDP growth over recent years has both cyclical and structural elements. But while the cyclical component now seems to be improving, there is little evidence that the structural part – responsible for between a half and two‐thirds of the recent decline – is doing likewise.
• ? Key factors behind the structural decline in world trade growth are changes in supply chains and a lack of trade liberalisation/protectionism. Both are likely to remain a drag over the coming years. Meanwhile, a levelling‐off of growth in China and drop back in commodity prices could curb the recent cyclical uptick.

     

The London Business School with Gower Publishing: Forecast Release: EARNINGS AND UNEMPLOYMENT IN THE CAR INDUSTRY: THE BEST AND WORST OF BRITISH INDUSTRY

The Chancellor has described the cost in terms of lost output and higher unemployment of getting inflation down as ‘well worth paying’. Yet the trade-off so far is a miserable 1.25 per cent off the underlying rate of growth of earnings for an unemployment increase approaching 600,000, some 2–3 per cent off the underlying rate of inflation for a 3 per cent drop in GDP and a 7 per cent fall in manufacturing output. The question is clear: why is it that in the UK we seem to have to pay such a high price in terms of lost output and higher unemployment to make only modest progress on reducing wage and price inflation? One possible answer is in terms of the NAIRU; another stems from the way in which we measure retail price inflation. Using the example of the car industry as a backdrop, we examine the relationship between unemployment and inflation and ask whether there is a role for government to play in improving the trade-off. Our conclusion is that the present non-interventionist stance is probably appropriate but that the government should be doing more to educate both sides of the wage bargain - a challenge picked up by the Prime Minister in his recent speech to the CBI. This is especially appropriate at the present time, because price inflation is falling but wage inflation is lagging behind. It is not a cut in real wages that is required but an equi-proportionate deceleration in both wages and prices. By joining the ERM, we will ultimately obtain German rates of inflation; low wage settlements would both shorten the time-scale and reduce the unemployment cost of convergence.     

Does recession drive convergence in firms’ productivity? Evidence from Spanish manufacturing firms

This paper provides evidence on the effect of recessions and expansions on the productivity growth rate of productivity leaders and followers. We use data of a representative sample of the Spanish manufacturing sector for the period 1991 and 2005. These data allow us to estimate firm level productivity for a relatively long period of time and provide us with firm level perception of the business cycle. We find that productivity tends to converge in recessions because, in these periods, the productivity growth of followers is higher than the productivity growth of leaders. This fact is consistent with theoretical models of managerial incentives and competition. A recession can be seen as an exogenous increase in competition that reduces demand and poses a threat of liquidation. This threat is higher for followers and is high enough to create asymmetric incentives to become more productive. We test the robustness of our results to sample selection and different productivity measure.     

Economy and Race: Interactive Determinants of Property Crime in the United States, 1958-1995

ABSTRACT Drawing upon rational choice, routine activity, and social disorganization theories, this study investigates changes in rates of property crime known (reported) to police in the United States from 1958 to 1995. Predictor variables include changes in rates of inflation; technological, cyclical, and frictional unemployment; arrest rates for property crimes disaggregated by race (ARPCDR); the interaction of ARPCDR and technological unemployment (to test effects of rising unemployment on whites versus blacks); and a measure of police provisioning. A Beach-MacKinnon Full Maximum-Likelihood FGLS AR1 Method (accompanied by residual analysis) is employed. Significant positive effects are established for (a) inflation, (b) cyclical unemployment, (c) frictional unemployment, and (d) the interaction of white arrest rates and technological unemployment. Police provisioning is not found to be significant. Policy implications are explored along with future policy considerations.