The predictive ability of a risk-adjusted yield spread for economic activity in Europe

This paper examines whether the pricing of risk is important for macroeconomic activity at the country level. We design a risk-adjusted yield spread and test its predictive content for economic activity on the periphery and the centre of Europe over the 1990–2012 period. This risk-adjusted bond yield spread is defined in a cross-country context and referred to as the GZ-type spread. Increases in the yield on corporate bonds issued in the countries on the periphery relative to the riskless yield (calculated using German zero-coupon term structure data) reflect increases in the risk premium that the financial market imposes on borrowers. The risk premium rises in all countries during European-wide recessions of the recent past, particularly those associated with the Global Financial and the Sovereign Debt Crisis. Our findings indicate further that this GZ-type spread acts as a reliable signal for imminent and near-term economic activity in countries where financial markets were shaken to their foundations during the Crisis period. For Germany, the GZ-spread has predictive content for industrial production but not for the unemployment rate. For GDP its predictive ability is confined to the EMU period.     

Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?

This paper finds that participants in the European Central Bank’s Survey of Professional Forecasters have submitted forecasts that are consistent with a (mostly forward-looking) empirical version of the New Keynesian Phillips Curve for the euro area. The estimation technique takes advantage of the panel nature of the Survey of Professional Forecasters’ dataset to exploit both its time series and cross-section dimensions, and to control for unobservable individual heterogeneity across forecasters. The estimation results suggest that euro-area inflation forecasts have reacted less to unemployment forecasts after the start of the financial crisis but another cost measure (energy inflation) remains significant. This finding is consistent with a flatter Phillips Curve in the euro area after 2007. However, the reasons suggested by the International Monetary Fund for this finding, namely a better anchoring of inflation expectations and increases in structural unemployment do not seem to find support in the survey data. Instead, the expectations for compensation per employee submitted by professional forecasters are consistent with the existence of downward real-wage rigidities in euro-area labour markets.     

Institutions and the route to reform of the European Union’s budget revenue, 1970–2017

Using process tracing, this paper charts the history of the changes in the EU’s revenue since 1970, including package deals and the unforeseen consequences of change, comparing the positions of the Council to those of the European Commission and European Parliament. Those revenue decisions allowed European integration to proceed though without a fully autonomous budget as Member States became more careful to calculate their net benefits or costs in relation to the budget. In December 2013, the European Union’s institutions established a High Level Group to recommend changes to the revenue base of the EU’s budget. This reported in January 2017, proposing to resolve the effect of sub-optimal revenue and budget decisions made by the European Union over many years, to reduce direct national contributions, to minimise the risk of unforeseen consequences, and to combine revenue flows with steering effects to discourage certain forms of economic behaviour in line with the wider policy agenda of the European Union.     

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.     

Structural shocks and dynamic elasticities in a long memory model of the US gasoline retail market

A structural multivariate long memory model of the US gasoline market is employed to disentangle structural shocks and to estimate the own-price elasticity of gasoline demand. Our main empirical findings are: (1) there is strong evidence of nonstationarity and mean reversion in the real price of gasoline and in gasoline consumption; (2) accounting for the degree of persistence present in the data is essential to assess the responses of these two variables to structural shocks; (3) the contributions of the different supply and demand shocks to fluctuations in the gasoline market vary across frequency ranges; and (4) long memory makes available an interesting range of convergent possibilities for gasoline demand elasticities. Our estimates suggest that after a change in prices, consumers undertake a few measures to reduce consumption in the short- and medium-run but are reluctant to implement major changes in their consumption habits.     

Restricted Hodrick–Prescott filtering in a state-space framework

The current paper extends previous results on Hodrick–Prescott (HP) filtering and shows that it is possible to implement the judgement-augmented, or restricted, HP filter within the state-space framework. The implementation entails augmenting the vector of measurements and altering one of the system matrices of the state-space model for the HP filter. Restrictions can thereby be incorporated in the HP filter, making, e.g., estimation more accessible. An application to US GDP gap estimation illustrates how the restricted filter could be usefully applied in an empirical macroeconomic setting.     

Investigation of institutional changes in the UK housing market using structural break tests and time-varying parameter models

This paper investigates the effects of institutional changes within the UK housing market in recent decades using structural break tests and time-varying parameter models. This approach is motivated by models of institutional change drawn from the political science literature which focus on the existence of both fast-moving and slow-moving institutional changes and the interactions between them as drivers of the dynamics of asset prices. As a methodological contribution, we use several time-varying parameter models for the first time in investigations of institutional change. Our findings support the existence of both structural breaks and continuous variance in parameters. This contributes to our understanding of the housing market in two respects. Firstly, the dates of structural breaks appear to better match unexpected market shocks rather than remarkable political events, and this supports prior institutional theory. Secondly, assessment of the effect of slow-moving institutional changes shows that people’s biased expectations rather than the economic fundamentals have increasingly played an important role in driving housing prices in the short run although fundamentals continue to drive house prices to converge to their long-run equilibrium.     

Exchange rate volatility and bilateral exports of Malaysia to Singapore,China, Japan,the USA and Korea

This study examines the impact of exchange rate volatility on bilateral exports of Malaysia to Singapore, China, Japan, the USA and Korea. Exchange rate volatility is estimated by an autoregressive conditional heteroscedasticity model. The Johansen cointegration method and the dynamic ordinary least squares estimator are used in the estimations. There is some evidence of exchange rate volatility to have significant impact on real total exports in the long run, but more evidence of exchange rate volatility is found to have significant impact on sub-categories of real total exports in the short run. The impact of exchange rate volatility differs across bilateral exports. The impact of exchange rate volatility on exports can be negative or positive. Generally, exchange rate volatility is not harmful to bilateral exports of Malaysia.     

On the ambiguous economic freedom–inequality relationship

Previous research on the relationship between economic freedom and income inequality has produced mixed results. We provide a short survey of this literature, identifying potential causes for this empirical heterogeneity. Next, we replicate the results from two significant studies using six alternative measures of income inequality for an updated dataset of up to 112 countries over the period 1970–2010. Notably, we use the latest release of the Standardized World Income Inequality Dataset, which allows us to account for the uncertainty of the estimated Gini coefficients. We find that the results of previous studies are sensitive to the choice of country sample, time period and/or inequality measure used. We conclude with suggestions for future research in the area.     

Survey-based forecast distributions for Euro Area growth and inflation: ensembles versus histograms

Ensemble methods can be used to construct a forecast distribution from a collection of point forecasts. They are used extensively in meteorology, but have received little direct attention in economics. In a real-time analysis of the ECB’s Survey of Professional Forecasters, we compare ensemble methods to histogram-based forecast distributions of GDP growth and inflation in the Euro Area. We find that ensembles perform very similarly to histograms, while being simpler to handle in practice. Given the wide availability of surveys that collect point forecasts but not histograms, these results suggest that ensembles deserve further investigation in economics.