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Jel Classification:C33 

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A Measure of Trend Wage Inflation

We extend time-series models that have so far been used to study price inflation (Stock and Watson [2016a]) and apply them to a micro-level dataset containing worker-level information on hourly wages. We construct a measure of aggregate nominal wage growth that (i) filters out noise and very transitory movements, (ii) quantifies the importance of idiosyncratic factors for aggregate wage dynamics, and (iii) strongly co-moves with labor market tightness, unlike existing indicators of wage inflation. We show that our measure is a reliable real-time indicator of wage pressures and a good ...
Staff Reports , Paper 1067

Working Paper
A dynamic network model of the unsecured interbank lending market

The unsecured interbank lending market plays a crucial role in financing business activity, a fact underscored by the market's disruption following the Lehman Brothers failure in September 2008. This event, a defining moment in the global financial crisis, fostered greater uncertainty about counterparty risk, an adverse shock that severely curtailed credit supply, hampered monetary policy, and negatively impacted the real economy. To counteract the consequences of the crisis, central banks became the primary intermediaries for a large portion of the money market. However, a single main ...
Working Papers , Paper 16-3

Working Paper
Revisiting the Great Ratios Hypothesis

Kaldor called the constancy of certain ratios stylized facts, whereas Klein and Kosobud called them great ratios. While they often appear in theoretical models, the empirical literature finds little evidence for them, perhaps because the procedures used cannot deal with lack of cointegration, two-way causality and cross-country error dependence. We propose a new system pooled mean group estimator that can deal with these features. Monte Carlo results show it performs well compared with other estimators, and using it on a dataset over 150 years and 17 countries, we find support for five of the ...
Globalization Institute Working Papers , Paper 415

Working Paper
The Green Corporate Bond Issuance Premium

We study a global panel of green and conventional bonds to assess the borrowing cost advantage at issuance for green bond issuers. We find that, on average, green bonds have a yield spread that is 8 basis points lower relative to conventional bonds. This borrowing cost advantage, or greenium, emerges as of 2019 and coincides with the growth of the sustainable asset management industry following EU regulation. Within this context, we find that the greenium is linked to two proxies of demand pressure, bond oversubscription and bond index inclusion. Moreover, while green bond governance appears ...
International Finance Discussion Papers , Paper 1346

Working Paper
FRED-SD: A Real-Time Database for State-Level Data with Forecasting Applications

We construct a real-time dataset (FRED-SD) with vintage data for the U.S. states that can be used to forecast both state-level and national-level variables. Our dataset includes approximately 28 variables per state, including labor market, production, and housing variables. We conduct two sets of real-time forecasting exercises. The first forecasts state-level labor-market variables using five different models and different levels of industrially-disaggregated data. The second forecasts a national-level variable exploiting the cross-section of state data. The state-forecasting experiments ...
Working Papers , Paper 2020-031

Working Paper
The International Spillovers of Synchronous Monetary Tightening

We use historical data and a calibrated model of the world economy to study how a synchronous monetary tightening can amplify cross-border transmission of monetary policy. The empirical analysis shows that historical episodes of synchronous tightening are associated with tighter financial conditions and larger effects on economic activity than asynchronous ones. In the model, a sufficiently large synchronous tightening can disrupt intermediation of credit by global financial intermediaries causing large output losses and an increase in sacrifice ratios, that is, output lost for a given ...
International Finance Discussion Papers , Paper 1384

Working Paper
Large Vector Autoregressions with Stochastic Volatility and Flexible Priors

Recent research has shown that a reliable vector autoregressive model (VAR) for forecasting and structural analysis of macroeconomic data requires a large set of variables and modeling time variation in their volatilities. Yet, there are no papers jointly allowing for stochastic volatilities and large datasets, due to computational complexity. Moreover, homoskedastic VAR models for large datasets so far restrict substantially the allowed prior distributions on the parameters. In this paper we propose a new Bayesian estimation procedure for (possibly very large) VARs featuring time varying ...
Working Papers (Old Series) , Paper 1617

Working Paper
Thousands of models, one story: current account imbalances in the global economy

The global financial crisis has led to a revival of the empirical literature on current account imbalances. This paper contributes to that literature by investigating the importance of evaluating model and parameter uncertainty prior to reaching any firm conclusion. We explore three alternative econometric strategies: examining all models, selecting a few, and combining them all. Out of thousands (or indeed millions) of models a story emerges. The chance that current accounts were aligned with fundamentals prior to the financial crisis appears to be minimal.
Globalization Institute Working Papers , Paper 100

Working Paper
Pooled Bewley Estimator of Long-Run Relationships in Dynamic Heterogenous Panels

Using a transformation of the autoregressive distributed lag model due to Bewley, a novel pooled Bewley (PB) estimator of long-run coefficients for dynamic panels with heterogeneous short-run dynamics is proposed. The PB estimator is directly comparable to the widely used Pooled Mean Group (PMG) estimator, and is shown to be consistent and asymptotically normal. Monte Carlo simulations show good small sample performance of PB compared to the existing estimators in the literature, namely PMG, panel dynamic OLS (PDOLS) and panel fully-modified OLS (FMOLS). Application of two bias-correction ...
Globalization Institute Working Papers , Paper 409

Working Paper
Shrinkage estimation of high-dimensional factor models with structural instabilities

In high-dimensional factor models, both the factor loadings and the number of factors may change over time. This paper proposes a shrinkage estimator that detects and disentangles these instabilities. The new method simultaneously and consistently estimates the number of pre- and post-break factors, which liberates researchers from sequential testing and achieves uniform control of the family-wise model selection errors over an increasing number of variables. The shrinkage estimator only requires the calculation of principal components and the solution of a convex optimization problem, which ...
Working Papers , Paper 14-4

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