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Author:Barbarino, Alessandro 

Working Paper
Forecasting with Sufficient Dimension Reductions

Factor models have been successfully employed in summarizing large datasets with few underlying latent factors and in building time series forecasting models for economic variables. When the objective is to forecast a target variable y with a large set of predictors x, the construction of the summary of the xs should be driven by how informative on y it is. Most existing methods first reduce the predictors and then forecast y in independent phases of the modeling process. In this paper we present an alternative and potentially more attractive alternative: summarizing x as it relates to y, so ...
Finance and Economics Discussion Series , Paper 2015-74

Working Paper
Which Output Gap Estimates Are Stable in Real Time and Why?

Output gaps that are estimated in real time can differ substantially from those estimated after the fact. We aim to understand the real-time instability of output gap estimates by comparing a suite of reduced-form models. We propose a new statistical decomposition and find that including a Okun’s law relationship improves real-time stability by alleviating the end-point problem. Models that include the unemployment rate also produce output gaps with relevant economic content. However, we find that no model of the output gap is clearly superior to the others along each metric we consider.
Finance and Economics Discussion Series , Paper 2020-102

Working Paper
A Unified Framework for Dimension Reduction in Forecasting

Factor models are widely used in summarizing large datasets with few underlying latent factors and in building time series forecasting models for economic variables. In these models, the reduction of the predictors and the modeling and forecasting of the response y are carried out in two separate and independent phases. We introduce a potentially more attractive alternative, Sufficient Dimension Reduction (SDR), that summarizes x as it relates to y, so that all the information in the conditional distribution of y|x is preserved. We study the relationship between SDR and popular estimation ...
Finance and Economics Discussion Series , Paper 2017-004

Working Paper
A User’s Guide to Reducing the Federal Reserve’s Balance Sheet

For the avoidance of doubt: 1) This catalogue presents and analyzes a variety of options for reducing the Federal Reserve’s balance sheet. Nothing here is an endorsement of any specific policy option; this is a menu of options. Combined, we estimate these options open the door to balance sheet reduction of $1.2 to $2.1 trillion within the Fed’s current ample reserves framework. Further reductions would be possible with a return to scarce reserves. 2) The process of materially shrinking the balance sheet would require a great deal of implementation and rulemaking work in advance and will ...
Finance and Economics Discussion Series , Paper 2026-019

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