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Working Paper
Bayesian Estimation and Comparison of Conditional Moment Models
Simoni, Anna; Shin, Minchul; Chib, Siddhartha (2019-12-09)
We provide a Bayesian analysis of models in which the unknown distribution of the outcomes is speci?ed up to a set of conditional moment restrictions. This analysis is based on the nonparametric exponentially tilted empirical likelihood (ETEL) function, which is constructed to satisfy a sequence of unconditional moments, obtained from the conditional moments by an increasing (in sample size) vector of approximating functions (such as tensor splines based on the splines of each conditioning variable). The posterior distribution is shown to satisfy the Bernstein-von Mises theorem, subject to a ...
Working Papers , Paper 19-51

Working Paper
Sticky Information Versus Sticky Prices Revisited: A Bayesian VAR-GMM Approach
Kurozumi, Takushi; Oishi, Ryohei; Van Zandweghe, Willem (2022-11-16)
Several Phillips curves based on sticky information and sticky prices are estimated and compared using Bayesian VAR-GMM. This method derives expectations in each Phillips curve from a VAR and estimates the Phillips curve parameters and the VAR coefficients simultaneously. Quasi-marginal likelihood-based model comparison selects a dual stickiness Phillips curve in which, each period, some prices remain unchanged, consistent with micro evidence. Moreover, sticky information is a more plausible source of inflation inertia in the Phillips curve than other sources proposed in previous studies. ...
Working Papers , Paper 22-34

Working Paper
Sovereigns versus Banks: Credit, Crises, and Consequences
Taylor, Alan M.; Jordà, Òscar; Schularick, Moritz (2013)
Two separate narratives have emerged in the wake of the Global Financial Crisis. One speaks of private financial excess and the key role of the banking system in leveraging and deleveraging the economy. The other emphasizes the public sector balance sheet over the private and worries about the risks of lax fiscal policies. However, the two may interact in important and understudied ways. This paper studies the co-evolution of public and private sector debt in advanced countries since 1870. We find that in advanced economies financial stability risks have come from private sector credit booms ...
Working Paper Series , Paper 2013-37

Working Paper
Big data analytics: a new perspective
Chudik, Alexander; Kapetanios, George; Pesaran, M. Hashem (2016-02-29)
Model specification and selection are recurring themes in econometric analysis. Both topics become considerably more complicated in the case of large-dimensional data sets where the set of specification possibilities can become quite large. In the context of linear regression models, penalised regression has become the de facto benchmark technique used to trade off parsimony and fit when the number of possible covariates is large, often much larger than the number of available observations. However, issues such as the choice of a penalty function and tuning parameters associated with the use ...
Globalization Institute Working Papers , Paper 268

Working Paper
Signaling Effects of Monetary Policy
Melosi, Leonardo (2016-09-16)
We develop a dynamic general equilibrium model in which the policy rate signals the central bank?s view about macroeconomic developments to price setters. The model is estimated with likelihood methods on a U.S. data set that includes the Survey of Professional Forecasters as a measure of price setters? inflation expectations. This model improves upon existing perfect information models in explaining why, in the data, inflation expectations respond with delays to monetary impulses and remain disanchored for years. In the 1970s, U.S. monetary policy is found to signal persistent inflationary ...
Working Paper Series , Paper WP-2016-14

Working Paper
Estimating (Markov-Switching) VAR Models without Gibbs Sampling: A Sequential Monte Carlo Approach
Herbst, Edward P.; Bognanni, Mark (2014-11-12)
Vector autoregressions with Markov-switching parameters (MS-VARs) offer dramatically better data fit than their constant-parameter predecessors. However, computational complications, as well as negative results about the importance of switching in parameters other than shock variances, have caused MS-VARs to see only sparse usage. For our first contribution, we document the effectiveness of Sequential Monte Carlo (SMC) algorithms at estimating MSVAR posteriors. Relative to multi-step, model-specific MCMC routines, SMC has the advantages of being simpler to implement, readily parallelizable, ...
Working Papers (Old Series) , Paper 1427

Working Paper
The Econometrics of Oil Market VAR Models
Zhou, Xiaoqing; Kilian, Lutz (2020-03-06)
Oil market VAR models have become the standard tool for understanding the evolution of the real price of oil and its impact in the macro economy. As this literature has expanded at a rapid pace, it has become increasingly difficult for mainstream economists to understand the differences between alternative oil market models, let alone the basis for the sometimes divergent conclusions reached in the literature. The purpose of this survey is to provide a guide to this literature. Our focus is on the econometric foundations of the analysis of oil market models with special attention to the ...
Working Papers , Paper 2006

Working Paper
Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values
Cook, Thomas R.; Modig, Zach; Palmer, Nathan M. (2024-09-20)
Machine learning and artificial intelligence are often described as “black boxes.” Traditional linear regression is interpreted through its marginal relationships as captured by regression coefficients. We show that the same marginal relationship can be described rigorously for any machine learning model by calculating the slope of the partial dependence functions, which we call the partial marginal effect (PME). We prove that the PME of OLS is analytically equivalent to the OLS regression coefficient. Bootstrapping provides standard errors and confidence intervals around the point ...
Finance and Economics Discussion Series , Paper 2024-075

Working Paper
What Happens in China Does Not Stay in China
Barcelona, William; Cascaldi-Garcia, Danilo; Hoek, Jasper; Van Leemput, Eva (2022-11-25)
Spillovers from China to global financial markets have been found to be small owing to China's limited integration in the global financial system. In this paper, however, we provide evidence that China constitutes an important driver of the global financial cycle. We argue that because of China's importance for global consumption, stronger Chinese growth raises global growth prospects, inducing an increase in global risk sentiment and an expansion in global asset prices and global credit. Two contributions are key to this finding: (1) We construct a measure of China's credit impulse to ...
International Finance Discussion Papers , Paper 1360

Journal Article
Measuring and Managing COVID-19 Model Risk
Jensen, Mark J. (2020-06-18)
One of the many lessons learned from the financial crisis is the increased awareness of model risk. In this article, I apply the best practices of model risk management found in SR 11-7 (which offers regulatory guidance on the best practices for managing model risk) to COVID-19 models. In particular, I investigate the Institute of Health Metrics and Evaluation's (IHME) model to see if it has been effectively challenged with a critical assessment of its conceptual soundness, ongoing monitoring, and outcomes analysis.
Policy Hub , Volume 2020 , Issue 7 , Pages 12

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