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Working Paper
Easy Bootstrap-Like Estimation of Asymptotic Variances
Hu, Luojia; Honore, Bo E. (2018-06-29)
The bootstrap is a convenient tool for calculating standard errors of the parameter estimates of complicated econometric models. Unfortunately, the bootstrap can be very time-consuming. In a recent paper, Honor and Hu (2017), we propose a ?Poor (Wo)man's Bootstrap? based on one-dimensional estimators. In this paper, we propose a modified, simpler method and illustrate its potential for estimating asymptotic variances.
Working Paper Series , Paper WP-2018-11

Working Paper
Inference in Bayesian Proxy-SVARs
Rubio-Ramirez, Juan F.; Waggoner, Daniel F.; Arias, Jonas E. (2018-11-05)
Motivated by the increasing use of external instruments to identify structural vector autoregressions SVARs), we develop algorithms for exact finite sample inference in this class of time series models, commonly known as proxy SVARs. Our algorithms make independent draws from the normal-generalized-normal family of conjugate posterior distributions over the structural parameterization of a proxy-SVAR. Importantly, our techniques can handle the case of set identification and hence they can be used to relax the additional exclusion restrictions unrelated to the external instruments often ...
Working Papers , Paper 18-25/R

Working Paper
Improved Estimation of Poisson Rate Distributions through a Multi-Mode Survey Design
Hitczenko, Marcin (2021-02-03)
Researchers interested in studying the frequency of events or behaviors among a population must rely on count data provided by sampled individuals. Often, this involves a decision between live event counting, such as a behavioral diary, and recalled aggregate counts. Diaries are generally more accurate, but their greater cost and respondent burden generally yield less data. The choice of survey mode, therefore, involves a potential tradeoff between bias and variance of estimators. I use a case study comparing inferences about payment instrument use based on different survey designs to ...
FRB Atlanta Working Paper , Paper 2021-10

Working Paper
Centrality-based Capital Allocations
Alter, Adrian; Craig, Ben R.; Raupach, Peter (2015-02-13)
This paper looks at the effect of capital rules on a banking system that is connected through correlated credit exposures and interbank lending. Keeping total capital in the system constant, the reallocation rules, which combine individual bank characteristics and interconnectivity measures of interbank lending, are to minimize a measure of systemwide losses. Using the detailed German Credit Register for estimation, we find that capital rules based on eigenvectors dominate any other centrality measure, saving about 15 percent in expected bankruptcy costs.
Working Papers (Old Series) , Paper 1501

Working Paper
A Likelihood-Based Comparison of Macro Asset Pricing Models
Chen, Andrew Y.; Wasyk, Rebecca; Winkler, Fabian (2017-03)
We estimate asset pricing models with multiple risks: long-run growth, long-run volatility, habit, and a residual. The Bayesian estimation accounts for the entire likelihood of consumption, dividends, and the price-dividend ratio. We find that the residual represents at least 80% of the variance of the price-dividend ratio. Moreover, the residual tracks most recognizable features of stock market history such as the 1990's boom and bust. Long run risks and habit contribute primarily in crises. The dominance of the residual comes from the low correlation between asset prices and consumption ...
Finance and Economics Discussion Series , Paper 2017-024

Working Paper
Mobility and Engagement Following the SARS-Cov-2 Outbreak
Koenig, Evan F.; Koch, Christoffer; Dolmas, Jim; Murphy, Anthony; Mertens, Karel; Yi, Kei-Mu; Atkinson, Tyler (2020-05-21)
We develop a Mobility and Engagement Index (MEI) based on a range of mobility metrics from Safegraph geolocation data, and validate the index with mobility data from Google and Unacast. We construct MEIs at the county, MSA, state and nationwide level, and link these measures to indicators of economic activity. According to our measures, the bulk of sheltering-in-place and social disengagement occurred during the week of March 15 and simultaneously across the U.S. At the national peak of the decline in mobility in early April, localities that engaged in a 10% larger decrease in mobility than ...
Working Papers , Paper 2014

Working Paper
High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗
Shin, Minchul; Tan, Fei; Chib, Siddhartha (2020-09-15)
Working Papers , Paper 20-35

Working Paper
Missing Data Substitution for Enhanced Robust Filtering and Forecasting in Linear State-Space Models
Dobrev, Dobrislav; Szerszen, Pawel J. (2025-01-03)
Replacing faulty measurements with missing values can suppress outlier-induced distortions in state-space inference. We therefore put forward two complementary methods for enhanced outlier-robust filtering and forecasting: supervised missing data substitution (MD) upon exceeding a Huber threshold, and unsupervised missing data substitution via exogenous randomization (RMDX).Our supervised method, MD, is designed to improve performance of existing Huber-based linear filters known to lose optimality when outliers of the same sign are clustered in time rather than arriving independently. The ...
Finance and Economics Discussion Series , Paper 2025-001

Working Paper
Inference in Bayesian Proxy-SVARs
Rubio-Ramirez, Juan F.; Waggoner, Daniel F.; Arias, Jonas E. (2018-12-01)
Motivated by the increasing use of external instruments to identify structural vector autoregressions (SVARs), we develop algorithms for exact finite sample inference in this class of time series models, commonly known as proxy-SVARs. Our algorithms make independent draws from the normal-generalized-normal family of conjugate posterior distributions over the structural parameterization of a proxy-SVAR. Importantly, our techniques can handle the case of set identification and hence they can be used to relax the additional exclusion restrictions unrelated to the external instruments often ...
FRB Atlanta Working Paper , Paper 2018-16

Working Paper
Minimum distance estimation of possibly non-invertible moving average models
Ng, Serena; Gospodinov, Nikolay (2013)
This paper considers estimation of moving average (MA) models with non-Gaussian errors. Information in higher-order cumulants allows identification of the parameters without imposing invertibility. By allowing for an unbounded parameter space, the generalized method of moments estimator of the MA(1) model has classical (root-T and asymptotic normal) properties when the moving average root is inside, outside, and on the unit circle. For more general models where the dependence of the cumulants on the model parameters is analytically intractable, we consider simulation-based estimators with two ...
FRB Atlanta Working Paper , Paper 2013-11

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