Mixed Frequency Forecasts for Chinese GDP

We evaluate different approaches for using monthly indicators to predict Chinese GDP for the current and the next quarter (‘nowcasts’ and ‘forecasts’, respectively). We use three types of mixed-frequency models, one based on an economic activity indicator (Liu et al., 2007), one based on averaging over indicator models (Stock and Watson, 2004), and a static factor model (Stock and Watson, 2002). Evaluating all models’ out-of-sample projections, we find that all the approaches can yield considerable improvements over naïve AR benchmarks. We also analyze pooling across forecasting methodologies. We find that the most accurate nowcast is given by a combination of a factor model and an indicator model. The most accurate forecast is given by a factor model. Overall, we conclude that these models, or combinations of these models, can yield improvements in terms of RMSE’s of up to 60 per cent over simple AR benchmarks.Econometric and statistical methods; International topics

Do We Need the IMF to Resolve a Crisis? Lessons from Past Episodes of Debt Restructuring

This study investigate how debt restructurings have evolved over the decades. Debtors and creditors have a long history of engaging an outsider - a "third party", such as the IMF - to organise and facilitate debt restructurings. As we show, the importance of these "third parties" has grown over time. At the same time, the financial environment has evolved rapidly, and financial markets have become more liquid and better able to spread risk in recent decades. In today's economic environment, the financial system of many advanced countries is better isolated from the negative consequences of a lengthy restructuring process. Consequently, from the perspective of creditor countries, the fact that "third parties" can facilitate and shorten the restructuring process has become less valuable. That said, emerging economies still benefit from involving a "third party", as this might help to overcome coordination problems among creditors and signal that the local authorities are effectively dealing with the crisis, which might help to restore confidence. This holds all the more since creditors have better access to litigation nowadays than during earlier episodes of debt restructurings.Financial stability; International topics

A Wave of Protectionism? An Analysis of Economic and Political Considerations

In light of the U.S. current account deficit, pressure is high on Asian countries to revalue their currencies. The calls from some U.S. policymakers for tariffs on imports from China has sparked fears that this could trigger a world-wide surge in protectionism. This study evaluates the risk of protectionism, considering two dimensions: first, the economic effects of tariffs; second, the incentives for policymakers to adopt tariffs. Following the political economy literature, we distinguish 'benevolent' policymakers - who care about long-term GDP - and 'myopic' policymakers, for whom short-term considerations are important. An analysis of the economic effects using the Bank of Canada's Global Economy Model shows that the gains from import tariffs are small: in the short-term, tariffs raise the price of imports and shift consumption toward domestically-produced goods; but they also lead to a real appreciation. This improves the terms of trade, but falling export volumes lead to a reduction in GDP in the long-run. As regards the political dimension, we conclude that a 'benevolent' policymaker would not adopt tariffs, because of negative long-term economic consequences, but 'myopic' policymakers might be tempted to exploit short-term political gains. Given the potentially high costs of protectionist trade policies, protectionism is therefore rightly viewed as an important risk.International topics; Recent economic and financial developments; Regional economic developments

On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment

The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data). We employ restrictions derived from national accounting identities to derive jointly consistent forecasts for the different components of U.S. GDP. In line with previous studies, we find that our factor model yields vastly improved forecasts for U.S. GDP, relative to simple autoregressive benchmark models, but we also conclude that the gains in terms of forecasting accuracy differ substantially between GDP components. As a rule of thumb, the largest improvements in terms of forecasting accuracy are found for relatively more volatile series, with the greatest gains coming from improvements of the forecasts for investment and trade. Consumption forecasts, in contrast, perform only marginally better than a simple AR benchmark model. In addition, we show that for most GDP components, an unrestricted, direct forecast outperforms forecasts subject to national accounting identity restrictions. In contrast, GDP itself is best forecasted as the sum of individual forecasts for GDP components, but the improvement over a direct, unconstrained factor forecast is small.Econometric and statistical methods; International topics

Implications of EMU enlargement for European monetary policy: A political economy view

EU Enlargement, Economic Convergence, Political Economy

Who supported the Deutsche Bundesbank? : an empirical investigation

Abstract The relevance of public support for monetary policy has largely been overlooked in the empirical central bank literature. We have constructed a new indicator for the support of the German Bundesbank and present descriptive and empirical evidence. We nd that major German interest groups were quite heterogeneous in judging a given policy stance. Empirically, we show that (a) public support can (at least partly) oset pressure from other organized groups and (b) accounting for popular support of the central bank allows to make more accurate forecasts of the short-term interest rate.

Central bank bashing: The case of the European Central Bank

Central banks do not operate in a vacuum. In this paper we analyse the fac-tors leading to external pressure or public support for European monetary policy. Moreover, based upon the findings for the Deutsche Bundesbank, some additional les-sons are drawn for the ECB. External pressure on the ECB mainly stems from politi-cians or from international organisations (such as the IMF). In contrast with evidence for the Bundesbank, interest groups (such as commercial banks) hardly try to influ-ence European monetary policy. German data show that factors leading to external pressure on the central bank are rising unemployment and the threat for governments to lose their majority in the next election. This latter source of pressure is, however, likely to be of minor importance for the ECB.

The Impact of the Global Business Cycle on Small Open Economies: A FAVAR Approach for Canada

Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we use a factor-augmented VAR (FAVAR) model with more than 260 series for 20 OECD countries to analyze how global developments affect the Canadian economy. We focus on several sources of shocks, including commodity prices, foreign economic activity, and foreign interest rates. We evaluate the impact of each shock on key Canadian macroeconomic variables to provide a comprehensive picture of the effect of international shocks on the Canadian economy. Our findings indicate that Canada is primarily exposed to shocks to foreign activity and to commodity prices. In contrast, the impact of shocks to global interest rates or global inflation is substantially lower. Our findings also expose the different channels through which higher commodity prices impact the Canadian economy: Canada benefits from higher commodity prices through a positive terms of trade shock, but at the same time, higher commodity prices tend to lower global economic activity, hurting demand for Canadian exports.International topics; Econometric and statistical methods; Business fluctuations and cycles

Monetary Policy Committees in Action: Is There Room for Improvement?

More than 80 central banks use a committee to take monetary policy decisions. The composition of the committee and the structure of the meeting can affect the quality of the decision making. In this paper we review economic, experimental, sociological and psychological studies to identify criteria for the optimal institutional setting of a monetary committee. These include the optimal size of the committee, measures to encourage independent thinking, a relatively informal structure of the meeting, and abilities to identify and evaluate individual members' performances. Using these criteria, we evaluate the composition and operation of monetary policy committees in various central banks. Our findings indicate that e.g. the monetary policy committee of the Bank of England follows committee best-practice, while the committee structure of other major central banks could be improved.Central bank research; Monetary policy framework

‘Lean’ versus ‘Rich’ Data Sets: Forecasting during the Great Moderation and the Great Recession

We evaluate forecasts for the euro area in data-rich and ‘data-lean’ environments by comparing three different approaches: a simple PMI model based on Purchasing Managers’ Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data from national economies (pseudo-real time data). We estimate backcasts, nowcasts and forecasts for GDP, components of GDP, and GDP of all individual euro area members, and examine forecasts for the ‘Great Moderation’ (2000-2007) and the ‘Great Recession’ (2008-2009) separately. All models consistently beat naïve AR benchmarks. More data does not necessarily improve forecasting accuracy: For the factor model, adding monthly indicators from national economies can lead to more uneven forecasting accuracy, notably when forecasting components of euro area GDP during the Great Recession. This suggests that the merits of national data may reside in better estimation of heterogeneity across GDP components, rather than in improving headline GDP forecasts for individual euro area countries. Comparing factor models to the much simpler PMI model, we find that the dynamic factor model dominates the latter during the Great Moderation. However, during the Great Recession, the PMI model has the advantage that survey-based measures respond faster to changes in the outlook, whereas factor models are more sluggish in adjusting. Consequently, the dynamic factor model has relatively more difficulties beating the PMI model, with relatively large errors in forecasting some countries or components of euro area GDP.Econometric and statistical methods; International topics