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 …

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 …

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 …

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 …

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 …

Culling the herd of moments with penalized empirical likelihood

J Chang, Z Shi, J Zhang - Journal of Business & Economic …, 2023 - Taylor & Francis
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 …

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 …

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 …

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 …

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 …