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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
The Income-Achievement Gap and Adult Outcome Inequality
Nielsen, Eric R.
(2015-05-14)
This paper discusses various methods for assessing group differences in academic achievement using only the ordinal content of achievement test scores. Researchers and policymakers frequently draw conclusions about achievement differences between various populations using methods that rely on the cardinal comparability of test scores. This paper shows that such methods can lead to erroneous conclusions in an important application: measuring changes over time in the achievement gap between youth from high- and low-income households. Commonly-employed, cardinal methods suggest that this ...
Finance and Economics Discussion Series
, Paper 2015-41
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
Estimation of the discontinuous leverage effect: Evidence from the NASDAQ order book
Winkelmann, Lars; Neely, Christopher J.; Bibinger, Markus
(2017-04-26)
An extensive empirical literature documents a generally negative correlation, named the ?leverage effect,? between asset returns and changes of volatility. It is more challenging to establish such a return-volatility relationship for jumps in high-frequency data. We propose new nonparametric methods to assess and test for a discontinuous leverage effect ? i.e. a relation between contemporaneous jumps in prices and volatility ? in high-frequency data with market microstructure noise. We present local tests and estimators for price jumps and volatility jumps. Five years of transaction data from ...
Working Papers
, Paper 2017-12
Working Paper
Revealing Cluster Structures Based on Mixed Sampling Frequencies
Ahn, Hie Joo; Rho, Yeonwoo; Liu, Yun
(2020-09-23)
This paper proposes a new nonparametric mixed data sampling (MIDAS) model and develops a framework to infer clusters in a panel regression with mixed frequency data. The nonparametric MIDAS estimation method is more flexible and substantially simpler to implement than competing approaches. We show that the proposed clustering algorithm successfully recovers true membership in the cross-section, both in theory and in simulations, without requiring prior knowledge of the number of clusters. This methodology is applied to a mixed-frequency Okun's law model for state-level data in the U.S. and ...
Finance and Economics Discussion Series
, Paper 2020-082
Working Paper
The role of jumps in volatility spillovers in foreign exchange markets: meteor shower and heat waves revisited
Lahaye, Jerome; Neely, Christopher J.
(2014-10-01)
This paper extends the previous literature on geographic (heat waves) and intertemporal (meteor showers) foreign exchange volatility transmission to characterize the role of jumps and cross-rate propagation. We employ heterogeneous autoregressive (HAR) models to capture the quasi-long-memory properties of volatility and the Shapley-Owen R2 measure to quantify the contributions of components. We conclude that meteor showers are more influential than heat waves, that jumps play a modest but significant role in volatility transmission and that significant, bidirectional cross-rate volatility ...
Working Papers
, Paper 2014-034
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
Report
800,000 Years of Climate Risk
Adrian, Tobias; Boyarchenko, Nina; Giannone, Domenico; Prasad, Ananthakrishnan; Seneviratne, Dulani; Xiao, Yanzhe
(2022-09-01)
We use a long history of global temperature and atmospheric carbon dioxide (CO2) concentration to estimate the conditional joint evolution of temperature and CO2 at a millennial frequency. We document three basic facts. First, the temperature–CO2 dynamics are non-linear, so that large deviations in either temperature or CO2 concentrations take a long time to correct–on the scale of multiple millennia. Second, the joint dynamics of temperature and CO2 concentrations exhibit multimodality around historical turning points in temperature and concentration cycles, so that prior to the start of ...
Staff Reports
, Paper 1031
Working Paper
Better the Devil You Know: Improved Forecasts from Imperfect Models
Oh, Dong Hwan; Patton, Andrew J.
(2021-11-05)
Many important economic decisions are based on a parametric forecasting model that is known to be good but imperfect. We propose methods to improve out-of-sample forecasts from a mis- speci
ed model by estimating its parameters using a form of local M estimation (thereby nesting local OLS and local MLE), drawing on information from a state variable that is correlated with the misspeci
cation of the model. We theoretically consider the forecast environments in which our approach is likely to o¤er improvements over standard methods, and we
nd signi
cant fore- cast improvements from ...
Finance and Economics Discussion Series
, Paper 2021-071
Working Paper
Does inequality cause financial distress? Evidence from lottery winners and neighboring bankruptcies
Agarwal, Sumit; Scholnick, Barry; Mikhed, Vyacheslav
(2016-02-11)
Revised Oct 2016. We test the hypothesis that income inequality causes financial distress. To identify the effect of income inequality, we examine lottery prizes of random dollar magnitudes in the context of very small neighborhoods (13 households on average). We find that a C$1,000 increase in the lottery prize causes a 2.4% rise in subsequent bankruptcies among the winners? close neighbors. We also provide evidence of conspicuous consumption as a mechanism for this causal relationship. The size of lottery prizes increases the value of visible assets (houses, cars, motorcycles), but not ...
Working Papers
, Paper 16-4
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