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Working Paper
The Business Cycle Mechanics of Search and Matching Models
Bernstein, Joshua; Throckmorton, Nathaniel A.; Richter, Alexander W. (2020-08-25)
This paper estimates a real business cycle model with unemployment driven by shocks to labor productivity and the job separation rate. We make two contributions. First, we develop a new identification scheme based on the matching elasticity that allows the model to perfectly match a range of labor market moments, including the volatilities of unemployment and vacancies. Second, we use our model to revisit the importance of shocks to the job separation rate and highlight how their correlation with labor productivity affects their transmission mechanism.
Working Papers , Paper 2026

Working Paper
Large Vector Autoregressions with Stochastic Volatility and Flexible Priors
Clark, Todd E.; Carriero, Andrea; Marcellino, Massimiliano (2016-06-30)
Recent research has shown that a reliable vector autoregressive model (VAR) for forecasting and structural analysis of macroeconomic data requires a large set of variables and modeling time variation in their volatilities. Yet, there are no papers jointly allowing for stochastic volatilities and large datasets, due to computational complexity. Moreover, homoskedastic VAR models for large datasets so far restrict substantially the allowed prior distributions on the parameters. In this paper we propose a new Bayesian estimation procedure for (possibly very large) VARs featuring time varying ...
Working Papers (Old Series) , Paper 1617

Working Paper
Lags, Leave-Outs and Fixed Effects
Chudik, Alexander; Ellis, Cameron M.; Jaspersen, Johannes G. (2025-09-23)
To avoid endogeneity, financial economists often construct regressors and/or instruments using values from other observations, with lagged and leave-out variables being common examples. We examine the use of such variables in common settings with fixed effects and show that it can induce bias and distort inference. We illustrate the severity of this problem via simulations and with patent examiner data. Even when scrambling the patent examiners, thus removing any instrument validity, the bias leads to a first-stage F-statistic over 1,000. General and case-specific solutions are provided.
Working Papers , Paper 2536

Working Paper
Financial Frictions, Financial Shocks, and Aggregate Volatility
Fuentes-Albero, Cristina (2014-10)
I revisit the Great Inflation and the Great Moderation. I document an immoderation in corporate balance sheet variables so that the Great Moderation is best described as a period of divergent patterns in volatilities for real, nominal and financial variables. A model with time-varying financial frictions and financial shocks allowing for structural breaks in the size of shocks and the institutional framework is estimated. The paper shows that (i) while the Great Inflation was driven by bad luck, the Great Moderation is mostly due to better institutions; (ii) the slowdown in credit spreads is ...
Finance and Economics Discussion Series , Paper 2014-084

Working Paper
Too Good to Be True? Fallacies in Evaluating Risk Factor Models
Robotti, Cesare; Gospodinov, Nikolay; Kan, Raymond (2017-11-01)
This paper is concerned with statistical inference and model evaluation in possibly misspecified and unidentified linear asset-pricing models estimated by maximum likelihood and one-step generalized method of moments. Strikingly, when spurious factors (that is, factors that are uncorrelated with 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. Furthermore, factors that are spurious are selected with high probability, while factors that are useful are ...
FRB Atlanta Working Paper , Paper 2017-9

Working Paper
General Aggregation of Misspecified Asset Pricing Models
Maasoumi, Esfandiar; Gospodinov, Nikolay (2017-11-01)
This paper proposes an entropy-based approach for aggregating information from misspecified asset pricing models. The statistical paradigm is shifted away from parameter estimation of an optimally selected model to stochastic optimization based on a risk function of aggregation across models. The proposed method relaxes the perfect substitutability of the candidate models, which is implicitly embedded in the linear pooling procedures, and ensures that the aggregation weights are selected with a proper (Hellinger) distance measure that satisfies the triangle inequality. The empirical results ...
FRB Atlanta Working Paper , Paper 2017-10

Working Paper
Impacts of Monetary Stimulus on Credit Allocation and Macroeconomy: Evidence from China
Waggoner, Daniel F.; Zha, Tao; Higgins, Patrick C.; Chen, Kaiji (2016-09-01)
We develop a new empirical framework to identify and estimate the effects of monetary stimulus on the real economy. The framework is applied to the Chinese economy when monetary policy in normal times was switched to an extraordinarily expansionary regime to combat the impact of the 2008 financial crisis. We show that this unprecedented monetary stimulus accounted for as high as a 4 percent increase of real gross domestic product (GDP) growth rate by the end of 2009. Monetary transmission to the real economy was through bank credit allocated disproportionately to financing investment in real ...
FRB Atlanta Working Paper , Paper 2016-9

Working Paper
Analysis of Multiple Long Run Relations in Panel Data Models with Applications to Financial Ratios
Chudik, Alexander; Pesaran, M. Hashem; Smith, Ron P. (2025-08-20)
This paper provides a new methodology for the analysis of multiple long-run relations in panel data models where the cross-section dimension, n, is large relative to the time-series dimension, T. For panel data models with large n, researchers have focused on panels with a single long-run relationship. The main difficulty has been to eliminate short-run dynamics without generating significant uncertainty for identification of the long run. We overcome this problem by using non-overlapping sub-sample time averages as deviations from their full-sample counterpart and estimating the number of ...
Working Papers , Paper 2523

Working Paper
Financial Frictions, Financial Shocks, and Aggregate Volatility
Fuentes-Albero, Cristina (2018-08-07)
The Great Moderation in the U.S. economy was accompanied by a widespread increase in the volatility of financial variables. We explore the sources of the divergent patterns in volatilities by estimating a model with time-varying financial rigidities subject to structural breaks in the size of the exogenous processes and two institutional characteristics: the coefficients in the monetary policy rule and the severity of the financial rigidity at the steady state. To do so, we generalize the estimation methodology developed by Curdia and Finocchiaro (2013). Institutional changes are key in ...
Finance and Economics Discussion Series , Paper 2018-054

Report
A New Jackknife Variance Estimator for Time-Series and Panel Regressions
Lopez Gaffney, Ignacio; Crump, Richard K.; Gospodinov, Nikolay (2024-10-01)
We introduce a new jackknife variance estimator for time-series and panel-data regressions. The novelty in our approach is that we first rotate the data using a particular choice of trigonometric basis functions. This rotation removes serial correlation in a broad class of time-series processes, including random walks, and enables the use of the conventional leave-one-out jackknife on the transformed space of the regressors and residuals. The procedure is tuning-parameter free and naturally adapts to the degree of persistence of the data. We prove the asymptotic validity of our variance ...
Staff Reports , Paper 1133

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