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Working Paper
Identifying Structural VARs with a Proxy Variable and a Test for a Weak Proxy
Lunsford, Kurt Graden (2015-12-04)
This paper develops a simple estimator to identify structural shocks in vector autoregressions (VARs) by using a proxy variable that is correlated with the structural shock of interest but uncorrelated with other structural shocks. When the proxy variable is weak, modeled as local to zero, the estimator is inconsistent and converges to a distribution. This limiting distribution is characterized, and the estimator is shown to be asymptotically biased when the proxy variable is weak. The F statistic from the projection of the proxy variable onto the VAR errors can be used to test for a weak ...
Working Papers (Old Series) , Paper 1528

Report
Robust inference in models identified via heteroskedasticity
Lewis, Daniel J. (2018-12-01)
Identification via heteroskedasticity exploits differences in variances across regimes to identify parameters in simultaneous equations. I study weak identification in such models, which arises when variances change very little or the variances of multiple shocks change close to proportionally. I show that this causes standard inference to become unreliable, outline two tests to detect weak identification, and establish conditions for the validity of nonconservative methods for robust inference on an empirically relevant subset of the parameter vector. I apply these tools to monetary policy ...
Staff Reports , Paper 876

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
Mean Group Estimation in Presence of Weakly Cross-Correlated Estimators
Chudik, Alexander; Pesaran, M. Hashem (2018-11-14)
This paper extends the mean group (MG) estimator for random coefficient panel data models by allowing the underlying individual estimators to be weakly cross-correlated. Weak cross-sectional dependence of the individual estimators can arise, for example, in panels with spatially correlated errors. We establish that the MG estimator is asymptotically correctly centered, and its asymptotic covariance matrix can be consistently estimated. The random coefficient specification allows for correct inference even when nothing is known about the weak cross-sectional dependence of the errors. This is ...
Globalization Institute Working Papers , Paper 349

Working Paper
Was Sarbanes-Oxley Costly? Evidence from Optimal Contracting on CEO Compensation
Gayle, George-Levi; Li, Chen; Miller, Robert A. (2015-08-20)
This paper investigates the effects of the Sarbanes-Oxley Act (SOX) on CEO compensation, using panel data constructed for the S&P 1500 firms on CEO compensation, financial returns, and reported accounting income. Empirically SOX (i) changes the relationship between a firm?s abnormal returns and CEO compensation, (ii) changes the underlying distribution of abnormal returns, and (iii) significantly raises the expected CEO compensation in the primary sector. We develop and estimate a dynamic principal agent model of hidden information and hidden actions to explain these regularities. We find ...
Working Papers , Paper 2015-17

Working Paper
Evaluating Conditional Forecasts from Vector Autoregressions
Clark, Todd E.; McCracken, Michael W. (2014-09-01)
Many forecasts are conditional in nature. For example, a number of central banks routinely report forecasts conditional on particular paths of policy instruments. Even though conditional forecasting is common, there has been little work on methods for evaluating conditional forecasts. This paper provides analytical, Monte Carlo, and empirical evidence on tests of predictive ability for conditional forecasts from estimated models. In the empirical analysis, we consider forecasts of growth, unemployment, and inflation from a VAR, based on conditions on the short-term interest rate. Throughout ...
Working Papers , Paper 2014-25

Report
Beta-Sorted Portfolios
Wang, Weining; Cattaneo, Matias D.; Crump, Richard K. (2023-07-01)
Beta-sorted portfolios—portfolios comprised of assets with similar covariation to selected risk factors—are a popular tool in empirical finance to analyze models of (conditional) expected returns. Despite their widespread use, little is known of their statistical properties in contrast to comparable procedures such as two-pass regressions. We formally investigate the properties of beta-sorted portfolio returns by casting the procedure as a two-step nonparametric estimator with a nonparametric first step and a beta-adaptive portfolios construction. Our framework rationalizes the well-known ...
Staff Reports , Paper 1068

Report
Monetary Policy across Inflation Regimes
Gargiulo, Valeria; Matthes, Christian; Petrova, Katerina (2024-01-01)
Does the effect of monetary policy depend on the prevailing level of inflation? In order to answer this question, we construct a parsimonious nonlinear time series model that allows for inflation regimes. We find that the effects of monetary policy are markedly different when year-over-year inflation exceeds 5.5 percent. Below this threshold, changes in monetary policy have a short-lived effect on prices, but no effect on the unemployment rate, giving a potential explanation for the recent “soft landing” in the United States. Above this threshold, the effects of monetary policy surprises ...
Staff Reports , Paper 1083

Working Paper
The Evolution of Scale Economies in U.S. Banking
Wheelock, David C.; Wilson, Paul W. (2015-08-01)
Continued consolidation of the U.S. banking industry and a general increase in the size of banks has prompted some policymakers to consider policies that discourage banks from getting larger, including explicit caps on bank size. However, limits on the size of banks could entail economic costs if they prevent banks from achieving economies of scale. This paper presents new estimates of returns to scale for U.S. banks based on nonparametric, local-linear estimation of bank cost, revenue and profit functions. We report estimates for both 2006 and 2015 to compare returns to scale some seven ...
Working Papers , Paper 2015-21

Working Paper
How Much Should We Trust Regional-Exposure Designs?
Majerovitz, Jeremy; Sastry, Karthik (2023-07-27)
Many prominent studies in macroeconomics, labor, and trade use panel data on regions to identify the local effects of aggregate shocks. These studies construct regional-exposure instruments as an observed aggregate shock times an observed regional exposure to that shock. We argue that the most economically plausible source of identification in these settings is uncorrelatedness of observed and unobserved aggregate shocks. Even when the regression estimator is consistent, we show that inference is complicated by cross-regional residual correlations induced by unobserved aggregate shocks. We ...
Working Papers , Paper 2023-018

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