Euro area real-time density forecasting with financial or labor market frictions

We compare real-time density forecasts for the euro area using three DSGE models. The benchmark is the Smets and Wouters model, and its forecasts of real GDP growth and inflation are compared with those from two extensions. The first adds financial frictions and expands the observables to include a measure of the external finance premium. The second allows for the extensive labor-market margin and adds the unemployment rate to the observables. The main question that we address is whether these extensions improve the density forecasts of real GDP and inflation and their joint forecasts up to an eight-quarter horizon. We find that adding financial frictions leads to a deterioration in the forecasts, with the exception of longer-term inflation forecasts and the period around the Great Recession. The labor market extension improves the medium- to longer-term real GDP growth and shorter- to medium-term inflation forecasts weakly compared with the benchmark model.     

Mismatch Shocks and Unemployment During the Great Recession

We investigate the macroeconomic consequences of fluctuations in the effectiveness of the labor market matching process with a focus on the Great Recession. We conduct our analysis in the context of an estimated medium‐scale dynamic stochastic general equilibrium model with sticky prices and equilibrium search unemployment that features a shock to the matching efficiency (or mismatch shock). We find that this shock is not important for unemployment fluctuations in normal times. However, it plays a somewhat larger role during the Great Recession when it contributes to raise the actual unemployment rate by around 1.3 percentage points and the natural rate by around 2 percentage points. The mismatch shock is the dominant driver of the natural rate of unemployment and explains part of the recent shift of the Beveridge curve. Copyright © 2016 John Wiley & Sons, Ltd.     

On the Time-Varying Effects of Economic Policy Uncertainty on the US Economy

We study the impact of Economic Policy Uncertainty (EPU) on the US Economy by using a VAR with time-varying coefficients. The coefficients are allowed to evolve gradually over time which allows us to discover structural changes without imposing them a priori. We find three different regimes, which match the three major periods of the US economy, namely the Great Inflation, the Great Moderation and the Great Recession. The initial impact on real GDP ranges between −0.2% for the Great Inflation and Great Recession and −0.15% for the Great Moderation. In addition, the adverse effects of EPU are more persistent during the Great Recession providing an explanation for the slow recovery. This regime dependence is unique for EPU as the macroeconomic consequences of Financial Uncertainty turn out to be rather time invariant.     

Impact of the Great Recession on unemployed and NEET individuals’ labour market transitions in Ireland

The impact that the Great Recession has had on countries’ labour markets has been well documented. In Ireland, the contraction in economic activity that took place resulted in the country's overall unemployment rate increasing from 4.6% in 2006 to 15% in 2012. The country's youth unemployment rate rose from 9.9% to 33% over the same time period, while the proportion of NEETs increased from 10.1% in 2006 to 18.7% in 2012. Policymakers are aware of the unemployment rates of young and prime-aged people as well as the NEETs rate. However, little is known about these groups’ profiles, whether their profiles have changed since the recession and also their labour market transition patterns pre and post the Great Recession. Given the importance of this information in the design of effective activation measures to assist unemployed and NEET individuals, this paper examines each of these issues in turn. Overall, the study found for all three groups examined that the rate of transition to employment fell dramatically between 2006 and 2011. The analysis showed that the drop in the groups’ transition rates was not due to changes in the underlying sub-group population structures but to changes in the external environment that resulted in the impact of possessing certain characteristics changing over the recession. For example, education and nationality have become more important in finding a job in Ireland over the course of the recession, while there has been a fall in the scarring impact of unemployment durations.     

Unemployment shocks and material deprivation in the European Union: A synthetic control approach

This paper analyzes how material deprivation responds to drastic changes in unemployment levels. We explore unemployment shocks registered in some European Union countries during the so-called Great Recession. To do so, we apply the synthetic control methodology, which has been rarely used in the field of distributive analyses. We use this approach to identify the impact of unemployment shocks on material deprivation and conduct different sensitivity analyses to test the results. We find that contrary to the traditional assumption of the low sensitivity of material deprivation measures to changes in the economic cycle, unemployment shocks have a significant and rapid impact on material deprivation. This conclusion holds even when extending the period of analysis, changing the indicator of material deprivation, or modifying the definition of unemployment shock.     

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.     

The Stock Market Crash Really Did Cause the Great Recession

This paper studies the connection between the stock market and the unemployment rate. I establish three facts. First, the log of the real value of the S&P 500 and the log of a logistic transformation of the unemployment rate are non‐stationary cointegrated series. Second, the stock market Granger causes the unemployment rate. Third, the connection between changes in the real value of the stock market and changes in the unemployment rate has remained structurally stable over seventy years. My results establish that the fall in the stock market in the autumn of 2008 provides a plausible causal explanation for the magnitude of the Great Recession.     

Forecasting macroeconomic risks

We construct risks around consensus forecasts of real GDP growth, unemployment, and inflation. We find that risks are time-varying, asymmetric, and partly predictable. Tight financial conditions forecast downside growth risk, upside unemployment risk, and increased uncertainty around the inflation forecast. Growth vulnerability arises as the conditional mean and conditional variance of GDP growth are negatively correlated: downside risks are driven by lower mean and higher variance when financial conditions tighten. Similarly, employment vulnerability arises as the conditional mean and conditional variance of unemployment are positively correlated, with tighter financial conditions corresponding to higher forecasted unemployment and higher variance around the consensus forecast.     

LABOR MARKET EFFECTS OF UNEMPLOYMENT INSURANCE DESIGN

With the emergence of the Great Recession unemployment insurance (UI) is once again at the heart of the policy debate. In this paper, we review the recent theoretical and empirical evidence on the labor market effects of UI design. We also discuss policy issues related to UI design, including the structure of benefits, the role of liquidity constraints and the pros and cons of a UI system in which the generosity of UI benefits is varying over the business cycle. Finally, we identify potential areas of future research.     

Estimating the U.S. output gap with state‐level data

This paper develops a method to estimate the U.S. output gap by exploiting the cross‐sectional variation of state‐level output and unemployment rate data. The model assumes that there are common output and unemployment rate trend and cycle components, and that each state's output and unemployment rate are subject to idiosyncratic trend and cycle perturbations. I estimate the model with Bayesian methods using quarterly data from 2005:Q1 to 2018:Q2 for the 50 states and the District of Columbia. Results show that the U.S. output gap reached about negative 4.6% around the years of the Great Recession and was about 0.9% in 2018:Q2.     

The joint impact of labour policies and the “Great Recession” on unemployment in Europe

The paper consists of an empirical analysis of the separate as well as joint impacts on total and youth unemployment of indicators of labour market policies on the one hand, and the financial crisis associated with the “Great Recession” on the other. In particular, we investigate labour market data in the past two decades for the Enlarged Europe and adopt a variable accounting for the idiosyncratic severity shock of the crisis. This time-varying and country-specific crisis variable enables us to test empirically and in a novel way the joint impact of labour market policies and the economic crisis on labour market dynamics even when accounting for common macro shocks.     

Decomposing Beveridge Curve Dynamics By Correlated Unobserved Components

Our paper provides a consistent framework to study the structural or cyclical nature of Beveridge curve (BC) dynamics: We connect equilibrium unemployment theory to a flexible multivariate unobserved components model. We disentangle permanent and transitory components of all series determining the BC and its position. Cointegration and identification are addressed. The German curve is an ideal illustration as reforms of the institutional setting and the Great Recession were accompanied by a remarkable labour market development. We find an extraordinary increase in trend matching efficiency after the reforms, which testifies to a permanent improvement. Matching efficiency accounts for about half of the BC? inward shift. As tightness also increased, a persistent upward movement masked the inward shift.     

When Does the Stepping‐Stone Work? Fixed‐Term Contracts Versus Temporary Agency Work in Changing Economic Conditions

This paper emphasizes differences among short‐term contracts in terms of career prospects. Using French data over the 2002–2010 period, we rely on a dynamic model with fixed effects to disentangle state dependence from unobserved heterogeneity. Although fixed‐term contracts may provide a ‘stepping‐stone’ to permanent positions, temporary agency work is hardly better than unemployment in this regard. The Great Recession of 2008 has changed the dynamics on the labor market and amplified the difference between fixed‐term contracts and temporary agency work. For both types of temporary workers, providing overtime work does not significantly increase the transition to permanent employment. Copyright © 2014 John Wiley & Sons, Ltd.     

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.     

Symposium: Youth labour market and the “Great Recession”

The financial crisis of 2007–2008, followed by the “Great Recession” and the additional sovereign debt crisis in some peripheral countries of the Eurozone, resulted in huge and persistent effects on European youth labour markets. Theoretical and empirical investigations on this topic are still scarce compared with the importance of the topic and the consequent economic, social and policy implications. This paper consists of a very short introduction to a symposium that contributes to filling that gap. A multifaceted picture emerges with major policy implications for the three levels of government (European, national and regional/local) in order to reduce youth unemployment and the NEET phenomenon.     

Human capital mobility patterns in the European Union and the financial crisis

This paper provides new evidence on the quantification of economic losses and/or gains from skilled human capital mobility in terms of GDP and productivity in several EU countries during and after the Great Recession. We construct two novel indicators to quantify and compare the economic effects of human capital mobility across EU countries in 2008, 2012, and 2016. Through hierarchical clustering, we created groups of countries to perform a non-parametric MANOVA. The results suggest the existence of three groups of countries aggregated by similar economic and mobility patterns. The differences between these groups are significant and allow us to delineate the countries’ gains and losses.

     

Global financial uncertainty

We estimate a novel measure of global financial uncertainty (GFU) with a dynamic factor framework that jointly models global, regional, and country-specific factors. We quantify the impact of GFU shocks on global output with a VAR analysis that achieves set identification via a combination of narrative, sign, ratio, and correlation restrictions. We find that the contraction in world output during the Great Recession would have been 13% milder in absence of GFU shocks. We also find support for a global finance uncertainty multiplier: the more global financial conditions deteriorate after a GFU shock, the larger the world output contraction is.     

United States

The US economy suffered its worst quarter since the Great Recession in Q1 with real GDP falling 2.9% on an annualized basis. The main downward revision to activity came from lower consumer spending on services with the previously estimated advance of 4.3% being revised down to only a 1.5% gain. Newly available data from the Census Bureau's quarterly services survey indicated a much smaller contribution to growth for the sector from 1.9 percentage points to 0.7 percentage points. Housing and business investment fared poorly while net trade imposed a sharp drag on growth…     

The Great Depression versus the Great Recession in the U.S.: How fiscal,monetary, and financial polices compare

This study reviews the financial distress that triggered and amplified the financial crises of the Great Depression and Great Recession and compares macroeconomic and financial policy responses. Shadow banking funded the build-up of the financial excesses that preceded both. The quicker and forceful response of monetary and fiscal policy during the Great Recession and stronger action to restore market functionality mitigated the downturn and aided recovery. Nevertheless, actions to address the mortgage debt overhang were slower. Post-Depression reforms focused on preventing deposit runs and post-Great Recession reforms on preventing runs on bank debt and shadow banks while boosting capital buffers.     

Great recession,slow recovery and muted fiscal policies in the US

This paper reconsiders the role of macroeconomic shocks and policies in determining the Great Recession and the subsequent recovery in the US. The Great Recession was mainly caused by a large demand shock and by the ZLB on the interest rate policy. In contrast with previous findings, the subsequent jobless recovery is explained by the ZLB effect. We estimate a fraction of Non-Ricardian households which is close to 50%, and obtain comparatively large fiscal multipliers. However we cannot detect a significant contribution of fiscal policies in stabilizing the US economy. For instance, the 2007–2009 large increase in expenditure-to-GDP ratios was apparently determined by the adverse non-policy shocks that caused the recession.