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Working Paper
The perils of working with Big Data and a SMALL framework you can use to avoid them
Fogarty, Michael; Butters, R. Andrew; Brave, Scott A. (2020-03-02)
The use of “Big Data” to explain fluctuations in the broader economy or guide the business decisions of a firm is now so commonplace that in some instances it has even begun to rival more traditional government statistics and business analytics. Big data sources can very often provide advantages when compared to these more traditional data sources, but with these advantages also comes the potential for pitfalls. We lay out a framework called SMALL that we have developed in order to help interested parties as they navigate the big data minefield. Based on a set of five questions, the SMALL ...
Working Paper Series , Paper WP-2020-35

Working Paper
The perils of working with Big Data and a SMALL framework you can use to avoid them
Fogarty, Michael; Butters, R. Andrew; Brave, Scott A. (2020-12-22)
The use of “Big Data” to explain fluctuations in the broader economy or guide the business decisions of a firm is now so commonplace that in some instances it has even begun to rival more traditional government statistics and business analytics. Big data sources can very often provide advantages when compared to these more traditional data sources, but with these advantages also comes the potential for pitfalls. We lay out a framework called SMALL that we have developed in order to help interested parties as they navigate the big data minefield. Based on a set of five questions, the SMALL ...
Working Paper Series , Paper WP-2020-35

Report
Dynamic prediction pools: an investigation of financial frictions and forecasting performance
Del Negro, Marco; Schorfheide, Frank; Hasegawa, Raiden B. (2014-10-01)
We provide a novel methodology for estimating time-varying weights in linear prediction pools, which we call dynamic pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE) models, with and without financial frictions, for output growth and inflation in the period 1992 to 2011. We find strong evidence of time variation in the pool?s weights, reflecting the fact that the DSGE model with financial frictions produces superior forecasts in periods of financial distress but doesn?t perform as well in tranquil periods. The dynamic ...
Staff Reports , Paper 695

Working Paper
Disentangling rent index differences: data, methods, and scope
Adams, Brian; Verbrugge, Randal J.; Loewenstein, Lara; Montag, Hugh (2023-09-28)
Rent measurement determines 32 percent of the CPI. Accurate rent measurement is therefore essential for accurate inflation measurement, but the CPI rent index often differs from alternative measures of rent inflation. Using repeat-rent inflation measures created from CPI microdata, we show that this discrepancy is largely explained by differences in rent growth for new tenants relative to all tenants. New-tenant rent inflation provides information about future all-tenant rent inflation, but the use of new-tenant rents is contraindicated in a cost-of-living index such as the CPI. Nevertheless, ...
Working Papers , Paper 22-38R

Working Paper
A Sufficient Statistics Approach for Macro Policy Evaluation
Barnichon, Regis; Mesters, Geert (2022-04-27)
The evaluation of macroeconomic policy decisions has traditionally relied on the formulation of a specific economic model. In this work, we show that two statistics are sufficient to detect, often even correct, non-optimal policies, i.e., policies that do not minimize the loss function. The two sufficient statistics are (i) the effects of policy shocks on the policy objectives, and (ii) forecasts for the policy objectives conditional on the policy decision. Both statistics can be estimated without relying on a specific model. We illustrate the method by studying US monetary policy decisions.
Working Paper Series , Paper 2022

Working Paper
Does Realized Volatility Help Bond Yield Density Prediction?
Zhong, Molin; Shin, Minchul (2015-12-18)
We suggest using "realized volatility" as a volatility proxy to aid in model-based multivariate bond yield density forecasting. To do so, we develop a general estimation approach to incorporate volatility proxy information into dynamic factor models with stochastic volatility. The resulting model parameter estimates are highly efficient, which one hopes would translate into superior predictive performance. We explore this conjecture in the context of density prediction of U.S. bond yields by incorporating realized volatility into a dynamic Nelson-Siegel (DNS) model with stochastic ...
Finance and Economics Discussion Series , Paper 2015-115

Working Paper
How Persistent Are Unconventional Monetary Policy Effects?
Neely, Christopher J. (2020-11-08)
This paper argues that one cannot precisely estimate the persistence of unconventional monetary policy (UMP) effects, especially with short samples and few observations. To make this point, we illustrate that the most influential model on the topic exhibits structural instability, and sensitivity to specification and outliers that render the conclusions unreliable. Restricted models that respect more plausible asset return predictability are more stable and imply that UMP shocks were persistent. Estimates of the dynamic effects of shocks should respect the limited predictability in asset ...
Working Papers , Paper 2014-04

Report
Forecasting in large macroeconomic panels using Bayesian Model Averaging
Potter, Simon M.; Koop, Gary (2003-03-01)
This paper considers the problem of forecasting in large macroeconomic panels using Bayesian model averaging. Practical methods for implementing Bayesian model averaging with factor models are described. These methods involve algorithms that simulate from the space defined by all possible models. We explain how these simulation algorithms can also be used to select the model with the highest marginal likelihood (or highest value of an information criterion) in an efficient manner. We apply these methods to the problem of forecasting GDP and inflation using quarterly U.S. data on 162 time ...
Staff Reports , Paper 163

Working Paper
Forecasting GDP Growth with NIPA Aggregates
Knotek, Edward S.; Garciga, Christian (2017-05-19)
Beyond GDP, which is measured using expenditure data, the U.S. national income and product accounts (NIPAs) provide an income-based measure of the economy (gross domestic income, or GDI), a measure that averages GDP and GDI, and various aggregates that include combinations of GDP components. This paper compiles real-time data on a variety of NIPA aggregates and uses these in simple time-series models to construct out-of-sample forecasts for GDP growth. Over short forecast horizons, NIPA aggregates?particularly consumption and GDP less inventories and trade?together with these simple ...
Working Papers (Old Series) , Paper 1708

Rent inflation remains on track to slow over the coming year
Atkinson, Tyler (2023-06-20)
Measures of market rents—the rental rate for new leases—increased about 15 percent in 2021. The surge occurred despite a modest increase of less than 4 percent in the rent and owners’ equivalent rent (OER) components of the most commonly watched U.S. inflation gauges, the Consumer Price Index (CPI) and personal consumption expenditures (PCE). A forecast of rent inflation using the Single Family Rent Index from CoreLogic, a financial analytics firm, would have accurately predicted this path a year in advance and currently anticipates rent inflation slowing to below 6 percent by the end ...
Dallas Fed Economics

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