Many instruments and/or regressors: A friendly guide
S Anatolyev - Journal of Economic Surveys, 2019 - Wiley Online Library
This paper surveys the state of the art in the econometrics of regression models with many
instruments or many regressors based on alternative–namely, dimension–asymptotics. We …
instruments or many regressors based on alternative–namely, dimension–asymptotics. We …
Animal spirits and the business cycle: Empirical evidence from moment matching
TS Jang, S Sacht - Metroeconomica, 2016 - Wiley Online Library
In this article, we empirically examine a hybrid New‐Keynesian model with heterogeneous
bounded rational agents who may adopt an optimistic or pessimistic attitude—so called …
bounded rational agents who may adopt an optimistic or pessimistic attitude—so called …
Recent developments in empirical likelihood and related methods
PMDC Parente, RJ Smith - Annu. Rev. Econ., 2014 - annualreviews.org
This article reviews a number of recent contributions to estimation and inference for models
defined by moment condition restrictions. The particular emphasis is on the generalized …
defined by moment condition restrictions. The particular emphasis is on the generalized …
Comparing asset pricing models by the conditional Hansen-Jagannathan distance
P Gagliardini, D Ronchetti - Journal of Financial Econometrics, 2020 - academic.oup.com
We compare nonnested parametric specifications of the stochastic discount factor (SDF)
using the conditional Hansen–Jagannathan (HJ-) distance. This distance measures the …
using the conditional Hansen–Jagannathan (HJ-) distance. This distance measures the …
Optimal Estimation Methodologies for Panel Data Regression Models
C Katsouris - arXiv preprint arXiv:2311.03471, 2023 - arxiv.org
This survey study discusses main aspects to optimal estimation methodologies for panel
data regression models. In particular, we present current methodological developments for …
data regression models. In particular, we present current methodological developments for …
Culling the herd of moments with penalized empirical likelihood
Abstract Models defined by moment conditions are at the center of structural econometric
estimation, but economic theory is mostly agnostic about moment selection. While a large …
estimation, but economic theory is mostly agnostic about moment selection. While a large …
Residual bootstrap tests in linear models with many regressors
P Richard - Journal of Econometrics, 2019 - Elsevier
This paper is concerned with bootstrap hypothesis testing in linear regression models with
many regressors. I show that bootstrap F, LR and LM tests are asymptotically valid even …
many regressors. I show that bootstrap F, LR and LM tests are asymptotically valid even …
Generalized moment estimation of stochastic differential equations
MP Laurini, LK Hotta - Computational statistics, 2016 - Springer
We study the semiparametric estimation of stochastic differential equations employing
methods based on moment conditions, comparing the finite sample and robustness …
methods based on moment conditions, comparing the finite sample and robustness …
GMM Model Averaging Using Higher Order Approximations
LF Martins, VJ Gabriel - Econometrics and Statistics, 2022 - Elsevier
Moment conditions model averaging (MA) estimators in the GMM framework are considered.
Under finite sample considerations, MA estimators with optimal weights are proposed, in the …
Under finite sample considerations, MA estimators with optimal weights are proposed, in the …
The empirical saddlepoint estimator
B Holcblat, F Sowell - Electronic Journal of Statistics, 2022 - projecteuclid.org
The Appendix mainly consists of a detailed proof of the first part of Theorem 1 (i), ie,
existence and consistency of the ESP estimator. The proof relies on set-valued analysis. The …
existence and consistency of the ESP estimator. The proof relies on set-valued analysis. The …