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Working Paper
The Effect of the Conservation Reserve Program on Rural Economies: Deriving a Statistical Verdict from a Null Finding
Wojan, Timothy R.; Lambert, Dayton; Brown, Jason (2018-05-01)
This article suggests two methods for deriving a statistical verdict from a null finding,allowing economists to more confidently conclude when ?not significant" can in fact be interpreted as ?no substantive effect." The proposed methodology can be extended to a variety of empirical contexts where size and power matter. The example used to demonstrate the method is the Economic Research Service's 2004 Report to Congress that was charged with statistically identifying any unintended negative employment consequences of the Conservation Reserve Program (the Program). The report failed to ...
Research Working Paper , Paper RWP 18-4

Working Paper
Bubbling Up? What Consumer Expectations Reveal About U.S. Housing Market Exuberance
Martínez García, Enrique; Pavlidis, Efthymios (2025-05-21)
We investigate the presence of speculative bubbles in the U.S. housing market after the global financial crisis. Unlike standard approaches that rely on observed economic fundamentals, our method leverages subjective price expectations from the University of Michigan Survey of Consumers to test for exuberance without imposing a specific model of intrinsic housing values. By applying recursive least-squares and quantile-based unit root tests to cumulative expectational errors, we uncover novel evidence of speculative dynamics at the aggregate level and across broad demographic and ...
Working Papers , Paper 2521

Journal Article
Factor-based prediction of industry-wide bank stress
Grover, Sean P.; McCracken, Michael W. (2014)
This article investigates the use of factor-based methods for predicting industry-wide bank stress. Specifically, using the variables detailed in the Federal Reserve Board of Governors? bank stress scenarios, the authors construct a small collection of distinct factors. We then investigate the predictive content of these factors for net charge-offs and net interest margins at the bank industry level. The authors find that the factors do have significant predictive content, both in and out of sample, for net interest margins but significantly less predictive content for net charge-offs. ...
Review , Volume 96 , Issue 2 , Pages 173-194

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
Spurious Inference in Unidentified Asset-Pricing Models
Robotti, Cesare; Gospodinov, Nikolay; Kan, Raymond (2014-10-31)
This paper studies some seemingly anomalous results that arise in possibly misspecified and unidentified linear asset-pricing models estimated by maximum likelihood and one-step generalized method of moments (GMM). Strikingly, when useless factors (that is, factors that are independent of the returns on the test assets) are present, the models exhibit perfect fit, as measured by the squared correlation between the model's fitted expected returns and the average realized returns, and the tests for correct model specification have asymptotic power that is equal to the nominal size. In other ...
FRB Atlanta Working Paper , Paper 2014-12

Working Paper
Bootstrapping out-of-sample predictability tests with real-time data
Goncalves, Silvia; McCracken, Michael W.; Yao, Yongxu (2024-09-03)
In this paper we develop a block bootstrap approach to out-of-sample inference when real-time data are used to produce forecasts. In particular, we establish its first-order asymptotic validity for West-type (1996) tests of predictive ability in the presence of regular data revisions. This allows the user to conduct asymptotically valid inference without having to estimate the asymptotic variances derived in Clark and McCracken’s (2009) extension of West (1996) when data are subject to revision. Monte Carlo experiments indicate that the bootstrap can provide satisfactory finite sample size ...
Working Papers , Paper 2023-029

Working Paper
Nonparametric Estimation of Lerner Indices for U.S. Banks Allowing for Inefficiency and Off-Balance Sheet Activities
Wheelock, David C.; Wilson, Paul W. (2019-04-16)
The Lerner index is widely used to assess firms' market power. However, estimation and interpretation present several challenges, especially for banks, which tend to produce multiple outputs and operate with considerable inefficiency. We estimate Lerner indices for U.S. banks for 2001-18 using nonparametric estimators of the underlying cost and profit functions, controlling for inefficiency, and incorporating banks' off-balance-sheet activities. We find that mis-specification of cost or profit functional forms can seriously bias Lerner index estimates, as can failure to account for ...
Working Papers , Paper 2019-12

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
New Estimates of the Lerner Index of Market Power for U.S. Banks
Wheelock, David C.; Wilson, Paul W. (2020-02-19)
The Lerner index is widely used to assess firms' market power. However, estimation and interpretation present several challenges, especially for banks, which tend to produce multiple outputs and operate with considerable inefficiency. We estimate Lerner indices for U.S. banks for 2001-18 using nonparametric estimators of the underlying cost and profit functions, controlling for inefficiency, and incorporating banks' off-balance-sheet activities. We find that mis-specification of cost or profit functional forms can seriously bias Lerner index estimates, as can failure to account for ...
Working Papers , Paper 2019-012

Working Paper
Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications
Erdemlioglu, Deniz; Neely, Christopher J.; Yang, Xiye (2023-07-20)
We develop a new framework to measure market-wide (systemic) tail risk in the cross-section of high-frequency stock returns. We estimate the time-varying jump intensities of asset prices and introduce a testing approach that identifies multi-asset tail risk based on the release times of scheduled news announcements. Using high-frequency data on individual U.S. stocks and sector-specific ETF portfolios, we find that most of the FOMC announcements create systemic left tail risk, but there is no evidence that macro announcements do so. The magnitude of the tail risk induced by Fed news varies ...
Working Papers , Paper 2023-016

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