Does the Phillips curve help to forecast euro area inflation?

We find that it does, but choosing the right specification is not trivial. Based on an extensive forecast evaluation we document notable forecast instabilities for most simple Phillips curves. Euro area inflation was particularly hard to forecast in the run-up to the Economic and Monetary Union and after the sovereign debt crisis, when the trends—and, for the latter period, also the amount of slack—were harder to pin down. Yet, some specifications outperform a univariate benchmark and point to the following lessons: (i) the key type of time variation to consider is an inflation trend; (ii) a simple filter-based output gap works well, but after the Great Recession it is outperformed by endogenously estimated slack or by “institutional” estimates; (iii) external variables do not bring forecast gains; (iv) newer-generation Phillips curve models with several time-varying features are a promising avenue for forecasting; and (v) averaging over a wide range of modelling choices helps.     

DSGE forecasts of the lost recovery

The years following the Great Recession were challenging for forecasters. Unlike other deep downturns, this recession was not followed by a swift recovery, but instead generated a sizable and persistent output gap that was not accompanied by deflation as a traditional Phillips curve relationship would have predicted. Moreover, the zero lower bound and unconventional monetary policy generated an unprecedented policy environment. We document the actual real-time forecasting performance of the New York Fed dynamic stochastic general equilibrium (DSGE) model during this period and explain the results using the pseudo real-time forecasting performance results from a battery of DSGE models. We find the New York Fed DSGE model’s forecasting accuracy to be comparable to that of private forecasters, and notably better for output growth than the median forecasts from the FOMC’s Summary of Economic Projections. The model’s financial frictions were key in obtaining these results, as they implied a slow recovery following the financial crisis.     

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.     

Local fiscal multipliers and spillover effects: Evidence from Philippine regions

Fiscal policy in developed countries has been a rich topic since the Great Recession. However, research has remained limited for developing countries despite their similar use of fiscal policy and concerns about the efficiency of public spending. To help address this research gap, this paper provides a case study of multiplier effects of local government spending in regions in the Philippines as well as spillover effects of local government spending across regions. An instrumental variable based on the country’s intergovernmental transfer system is used to identify regional public spending in panel regressions. The local fiscal multiplier is estimated to be above one, where a 1-peso rise in spending by local government units in a region corresponds to a 1.2-peso rise in regional output. Multiplier effects are highest for capital expenditures and appear to be primarily driven by the services sector. Spillover effects are comparatively large, at around 1.8–2.0, highlighting the important role of domestic trade when stimulating regional economic activity.     

The Impact of the 2008 Crisis on UK Prices: What We Can Learn from the CPI Microdata1

This paper takes the locally collected price quotes used to construct the CPI index in the UK for the period 1996–2013 and explores the impact of the Great Recession (2008‐9) on the pricing behaviour of firms. We develop a time series framework which captures the link between macroeconomic variables and the behaviour of prices in terms of the frequency of price change, the dispersion of price levels and the size, dispersion and kurtosis of price‐growth. We find strong evidence for inflation having an effect, but not output. The change in the behaviour of prices during the Great Recession is largely explained by the changes in inflation and VAT. Nevertheless, the magnitude of the inflation effect is sufficiently small that it need not influence monetary policy.     

The Impact of the 2008 Crisis on UK Prices: What We Can Learn from the CPI Microdata1

This paper takes the locally collected price quotes used to construct the CPI index in the UK for the period 1996–2013 and explores the impact of the Great Recession (2008-9) on the pricing behaviour of firms. We develop a time series framework which captures the link between macroeconomic variables and the behaviour of prices in terms of the frequency of price change, the dispersion of price levels and the size, dispersion and kurtosis of price-growth. We find strong evidence for inflation having an effect, but not output. The change in the behaviour of prices during the Great Recession is largely explained by the changes in inflation and VAT. Nevertheless, the magnitude of the inflation effect is sufficiently small that it need not influence monetary policy.     

Testing neoclassical convergence in regional incomes and earnings

The time-series properties of per capita income and per capita earnings in the regions of the United States are tested for consistency with the neoclassical growth model's prediction of convergence. We find evidence for per capita income convergence for U.S. regions during the 1929–1990 period after allowing for a trend break in 1946. These findings support the neoclassical model's prediction of convergence. The evidence for per capita earnings convergence is, however, less conclusive. Shocks to per capita earnings are found to be more persistent than shocks to per capita income. This implies that the regional distribution of transfer payments tends to smooth the effects of deviation on relative regional per capita earnings and reinforce trends in per capita income convergence.     

Does judgment improve macroeconomic density forecasts?

This paper presents empirical evidence on how judgmental adjustments affect the accuracy of macroeconomic density forecasts. Judgment is defined as the difference between professional forecasters’ densities and the forecast densities from statistical models. Using entropic tilting, we evaluate whether judgments about the mean, variance and skew improve the accuracy of density forecasts for UK output growth and inflation. We find that not all judgmental adjustments help. Judgments about point forecasts tend to improve density forecast accuracy at short horizons and at times of heightened macroeconomic uncertainty. Judgments about the variance hinder at short horizons, but can improve tail risk forecasts at longer horizons. Judgments about skew in general take value away, with gains seen only for longer horizon output growth forecasts when statistical models took longer to learn that downside risks had reduced with the end of the Great Recession. Overall, density forecasts from statistical models prove hard to beat.     

Verifying the state of financing constraints: Evidence from U.S. business credit contracts

Many policymakers are concerned that tight financing constraints for small businesses are stalling the recovery from the Great Recession. This paper empirically assesses two agency problems that induce such financing constraints—one resulting in a “firm balance sheet channel” and one resulting in a “bank balance sheet channel”. Evaluating specific models of these two agency problems against a comprehensive data set of U.S. small business credit contracts, I find strong support for the firm balance sheet channel but only weak support for the bank balance sheet channel. A complementary regression analysis confirms this result. Hence, policies seeking to improve firms’ balance sheets may be desirable to support small business lending in the recovery from the Great Recession.     

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.     

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.     

Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE,DSGE‐VAR,and VAR Models

The predictive likelihood is useful for ranking models in forecast comparison exercises using Bayesian inference. We discuss how it can be estimated, by means of marzginalization, for any subset of the observables in linear Gaussian state‐space models. We compare macroeconomic density forecasts for the euro area of a DSGE model to those of a DSGE‐VAR, a BVAR and a multivariate random walk over 1999:Q1–2011:Q4. While the BVAR generally provides superior forecasts, its performance deteriorates substantially with the onset of the Great Recession. This is particularly notable for longer‐horizon real GDP forecasts, where the DSGE and DSGE‐VAR models perform better. Copyright © 2016 John Wiley & Sons, Ltd.     

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.     

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.     

Money and velocity during financial crises: From the great depression to the great recession

This study models the demand for a broad monetary aggregate (M2) from the Great Depression through the Great Recession. Key to the model is the interaction between a measure of time-variation in economic agents’ perceived financial risk and an index of the cost of portfolio adjustment. The finding of a useful money demand relationship suggests that skepticism regarding the indicator role of a broad, liquid money aggregate as a policy guide may be exaggerated. Further, our model provides some guidance for policymakers who face the challenge of unwinding large balance sheets as risk premia return to normal and velocity adjusts.     

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.     

Is the causal nexus of energy utilization and economic growth asymmetric in the US?

This paper re-examines the causal nexus of energy utilization and GDP per capita in the US. The novelty of the paper is to allow for asymmetry in causality by using a new test introduced by Hatemi-J (forthcoming). A bootstrap procedure is used with leveraged corrections that perform more accurately when the statistical assumptions for validity of asymptotic distributions are not fulfilled. This is especially the case for sample sizes as in the current paper. The estimation results reveal strongly that a negative energy consumption shock will cause a negative shock in the output per capita. That is, if the energy utilization per capita decreases then the output per capita will also decrease. Surprisingly, such a causal impact for positive shocks is not found. These empirical results might indicate that there is an optimal quantity of energy in the US that needs to be consumed as otherwise the economic growth will suffer. However, the consumption of energy beyond that optimal quantity will not necessarily result in an enhanced rate of economic growth.     

Convergence in international output

This paper proposes and tests new definitions of convergence and common trends for per capita output. We define convergence for a group of countries to mean that each country has identical long-run trends, either stochastic or deterministic, while common trends allow for proportionality of the stochastic elements. These definitions lead naturally to the use of cointegration techniques in testing. Using century-long time series for 15 OECD economies, we reject convergence but find substantial evidence for common trends. Smaller samples of European countries also reject convergence but are driven by a lower number of common stochastic trends.     

Mortgage default in an estimated model of the U.S. housing market

This paper models the housing sector, mortgages and endogenous default in a DSGE setting with nominal and real rigidities. We use data for the period 1981–2006 to estimate our model using Bayesian techniques. We analyze how an increase in risk in the mortgage market raises the default rate and spreads to the rest of the economy, creating a recession. In our model two shocks are well suited to replicate the subprime crisis and the Great Recession: the mortgage risk shock and the housing demand shock. Next we use our estimated model to evaluate a policy that reduces the principal of underwater mortgages. This policy is successful in stabilizing the mortgage market and makes all agents better off.     

北京等四直辖市能源利用效果的对比分析——描述统计与面板数据研究

本文基于1985-2006年中国北京、天津、上海、重庆四大直辖市的经济与能源统计数据,利用人均能源终端消费量、单位GDP能耗、能源消费弹性系数等描述性统计方法对中国地区能源利用效果进行了比较研究,并基于FGLS估计方法和Swamy变系数面板数据模型,对四大直辖市能源利用状况的扩张趋势以及能源利用水平的差异进行了测度,并提出相应政策建议.