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Working Paper
Uniform Priors for Impulse Responses
Rubio-Ramirez, Juan F.; Waggoner, Daniel F.; Arias, Jonas E. (2023-09-28)
There has been a call for caution when using the conventional method for Bayesian inference in set-identified structural vector autoregressions on the grounds that the uniform prior over the set of orthogonal matrices could be nonuniform for individual impulse responses or other quantity of interest. This paper challenges this call by formally showing that, when the focus is on joint inference, the uniform prior over the set of orthogonal matrices is not only sufficient but also necessary for inference based on a uniform joint prior distribution over the identified set for the vector of ...
FRB Atlanta Working Paper , Paper 2023-13

Working Paper
Thousands of models, one story: current account imbalances in the global economy
Chudik, Alexander; Dieppe, Alistair; Ca' Zorzi, Michele (2011)
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
The International Spillovers of Synchronous Monetary Tightening
Caldara, Dario; Ferrante, Francesco; Iacoviello, Matteo; Prestipino, Andrea; Queraltó, Albert (2023-11-29)
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
Simultaneity in Binary Outcome Models with an Application to Employment for Couples
Hu, Luojia; Kyriazidou, Ekaterini; Weidner, Martin; Honore, Bo E. (2022-07)
Two of Peter Schmidt’s many contributions to econometrics have been to introduce a simultaneous logit model for bivariate binary outcomes and to study estimation of dynamic linear fixed effects panel data models using short panels. In this paper, we study a dynamic panel data version of the bivariate model introduced in Schmidt and Strauss (1975) that allows for lagged dependent variables and fixed effects as in Ahn and Schmidt (1995). We combine a conditional likelihood approach with a method of moments approach to obtain an estimation strategy for the resulting model. We apply this ...
Working Paper Series , Paper WP 2022-34

Report
The FRBNY staff underlying inflation gauge: UIG
Potter, Simon M.; Rich, Robert W.; Amstad, Marlene (2014-04-22)
Monetary policymakers and long-term investors would benefit greatly from a measure of underlying inflation that uses all relevant information, is available in real time, and forecasts inflation better than traditional underlying inflation measures such as core inflation measures. This paper presents the ?FRBNY Staff Underlying Inflation Gauge (UIG)? for CPI and PCE. Using a dynamic factor model approach, the UIG is derived from a broad data set that extends beyond price series to include a wide range of nominal, real, and financial variables. It also considers the specific and time-varying ...
Staff Reports , Paper 672

Working Paper
Pooled Bewley Estimator of Long-Run Relationships in Dynamic Heterogenous Panels
Smith, Ron P.; Chudik, Alexander; Pesaran, M. Hashem (2021-05-27)
This paper, using the Bewley (1979) transformation of the autoregressive distributed lag model, proposes a pooled Bewley (PB) estimator of long-run coefficients for dynamic panels with heterogeneous short-run dynamics, in the same setting as the widely used Pooled Mean Group (PMG) estimator. The Bewley transform enables us to obtain an analytical closed form expression for the PB, which is not available when using the maximum likelihood approach. This lets us establish asymptotic normality of PB as n,T→∞ jointly, allowing for applications with n and T large and of the same order of ...
Globalization Institute Working Papers , Paper 409

Working Paper
Measuring Uncertainty and Its Impact on the Economy
Clark, Todd E.; Carriero, Andrea; Massimiliano, Marcellino (2016-10-14)
We propose a new framework for measuring uncertainty and its effects on the economy, based on a large VAR model with errors whose stochastic volatility is driven by two common unobservable factors, representing aggregate macroeconomic and financial uncertainty. The uncertainty measures can also influence the levels of the variables so that, contrary to most existing measures, ours reflect changes in both the conditional mean and volatility of the variables, and their impact on the economy can be assessed within the same framework. Moreover, identification of the uncertainty shocks is ...
Working Papers (Old Series) , Paper 1622

Working Paper
All Forecasters Are Not the Same: Time-Varying Predictive Ability across Forecast Environments
Tracy, Joseph; Rich, Robert W. (2021-02-25)
This paper examines data from the European Central Bank’s Survey of Professional Forecasters to investigate whether participants display equal predictive performance. We use panel data models to evaluate point- and density-based forecasts of real GDP growth, inflation, and unemployment. The results document systematic differences in participants’ forecast accuracy that are not time invariant, but instead vary with the difficulty of the forecasting environment. Specifically, we find that some participants display higher relative accuracy in tranquil environments, while others display ...
Working Papers , Paper 21-06

Working Paper
FRED-SD: A Real-Time Database for State-Level Data with Forecasting Applications
Owyang, Michael T.; Bokun, Kathryn; Kliesen, Kevin L.; Jackson, Laura E. (2021-08-01)
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
A dynamic network model of the unsecured interbank lending market
Blasques, Francisco; Lelyveld, Iman Van; Bräuning, Falk (2016-04-01)
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

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