On the statistical identification of DSGE models

Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession not only from the theoretical perspective but also from an empirical standpoint. As a consequence of this development, methods for diagnosing the fit of these models are being proposed and implemented. In this article we illustrate how the concept of statistical identification, that was introduced and used by Spanos [Spanos, Aris, 1990. The simultaneous-equations model revisited: Statistical adequacy and identification. Journal of Econometrics 44, 87–105] to criticize traditional evaluation methods of Cowles Commission models, could be relevant for DSGE models. We conclude that the recently proposed model evaluation method, based on the DSGE–VAR(λ)$\left(\lambda \right)$, might not satisfy the condition for statistical identification. However, our application also shows that the adoption of a FAVAR as a statistically identified benchmark leaves unaltered the support of the data for the DSGE model and that a DSGE–FAVAR can be an optimal forecasting model.     

Measuring the Impact of Longevity Risk on Pension Systems: The Case of Italy

This article estimates the impact of longevity risk on pension systems by combining the prediction based on a Lee-Carter mortality model with the projected pension payments for different cohorts of retirees. We measure longevity risk by the difference between the upper bound of the total old-age pension expense and its mean estimate. This difference is as high as 4% of annual GDP over the period 2040–2050. The impact of longevity risk is sizeably reduced, but not fully eliminated, by the introduction of indexation of retirement age to expected life at retirement. Our evidence speaks in favor of a market for longevity risk and calls for a closer scrutiny of the potential redistributive effects of longevity risk.     

Shortfall risk minimisation versus symmetric (quadratic) hedging

Abstract We consider the seller of a contingent claim who wants to hedge against the corresponding risk by means of a self-financing strategy, endowing less initial capital than the one required for (super)hedging. Two classical criteria used in this situation are shortfall risk minimisation and symmetric hedging (a natural generalisation of the quadratic hedging problem). We show that these two problems are equivalent if the market is complete. The case when the market is incomplete is also discussed. Mathematics Subject Classification (2000): 91B28, 91B70, 93E20 Journal of Economic Literature Classification: D81, G11     

Deficits, Money Growth and Inflation in Italy: 1875–1994

In this paper, we examine econometrically the "fiscal dominance" model of the Monetary History of Italy proposed by Spinelli and Fratianni (1996). We test the proposition that monetary policy is endogenous to fiscal policy, and that such an endogeneity creates a specificity in the process generating Italian inflation. We perform our econometric tests by estimating a small structural linear econometric model, addressing carefully the issues of data-congruency of the specification, non-stationarity, cointegration, and credibility of the over-identifying restrictions. Our econometric investigation is based on a sample of annual observations from 1875–1994 and exploits the structural break which occurred in 1975, when Baffi became Governor of the Bank of Italy and the lack of independence of the central bank was first perceived as a problem. Baffi started the slow evolution process leading to the independence of the central bank, which was institutionally ratified by his successor Ciampi, when, in 1981, the Bank of Italy interrupted his commitment to buy all the government bonds left unsold in the public tenders (the "divorce"). Our empirical analysis over the sample 1875–1975 confirms the existence of a link between government deficit and money growth, and of a long-run relationship between the quantity of money and the price level; the evidence also stresses the relevance of supply side factors in the determination of inflation. When the model estimated for the sample 1875–1975 is applied to the period 1975–1994, a clear structural break in the relation between government deficits and money growth emerges. (J.E.L.: E5, E6).     

Principal components at work: the empirical analysis of monetary policy with large data sets

The empirical analysis of monetary policy requires the construction of instruments for future expected inflation. Dynamic factor models have been applied rather successfully to inflation forecasting. In fact, two competing methods have recently been developed to estimate large‐scale dynamic factor models based, respectively, on static and dynamic principal components. This paper combines the econometric literature on dynamic principal components and the empirical analysis of monetary policy. We assess the two competing methods for extracting factors on the basis of their success in instrumenting future expected inflation in the empirical analysis of monetary policy. We use two large data sets of macroeconomic variables for the USA and for the Euro area. Our results show that estimated factors do provide a useful parsimonious summary of the information used in designing monetary policy. Copyright © 2005 John Wiley & Sons, Ltd.     

For Better or worse: Organizational turnaround in New York City schools

The performance of public organizations has become a more salient issue as the popularity of accountability policies has grown. Though organizations are often defined as underperforming, little is known about the effectiveness of various strategies commonly recommended for agency turnaround. This study provides a large-N test of three common categories of turnaround mechanisms – retrenchment, repositioning, and reorganization – in nearly 300 failing New York City schools between 2008 and 2011. Models show that none of the three turnaround strategies appear to be significantly associated with improvements in core organizational performance from an administrative perspective, although repositioning appears to improve client satisfaction.     

Modelling and forecasting government bond spreads in the euro area: A GVAR model

This paper proposes an extension to Global Vector Autoregressive (GVAR) models to capture time-varying interdependence among financial variables. Government bond spreads in the euro area feature a time-varying pattern of co-movement that poses a serious challenge for econometric modelling and forecasting. This pattern of the data is not captured by the standard specification that model spreads as persistent processes reverting to a time-varying mean determined by two factors: a local factor, driven by fiscal fundamentals and growth, and a global world factor, driven by the market’s appetite for risk. This paper argues that a third factor, expectations of exchange rate devaluation, gained traction during the crises. This factor is well captured via a GVAR that models the interdependence among spreads by making each country’s spread function of global European spreads. Global spreads capture the exposure of each country’s spread to other spreads in the euro area in terms of the time-varying ‘distance’ between their fiscal fundamentals. This new specification dominates the standard one in modelling the time-varying pattern of co-movements among spreads and the response of euro area spreads to the Greek debt crisis.