Inference for Iterated GMM Under Misspecification and Clustering

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bayesian Inconsistency under Misspecification

This is a synopsis of the work underlying the author’s contributed plenary presentation at the Valencia 8 meeting on Bayesian Statistics, held in Benidorm, June 2006. We show that Bayesian inference can be inconsistent under misspecification. Specifically, we exhibit a distribution P ∗, a model M with P ∗ 6∈ M, and a prior Π on M such that the prior puts significant mass on P̃ , the best approxi...

متن کامل

Robust inference with GMM estimators

The local robustness properties of generalized method of moments (GMM) estimators and of a broad class of GMM based tests are investigated in a uni"ed framework. GMM statistics are shown to have bounded in#uence if and only if the function de"ning the orthogonality restrictions imposed on the underlying model is bounded. Since in many applications this function is unbounded, it is useful to hav...

متن کامل

Simple and Trustworthy Cluster-Robust GMM Inference

This paper develops a new asymptotic theory for two-step GMM estimation and inference in the presence of clustered dependence. The key feature of alternative asymptotics is the number of clusters G is regarded as small or fixed when the sample size increases. Under the small-G asymptotics, this paper shows the centered two-step GMM estimator and the two continuously-updating GMM estimators we c...

متن کامل

New Approach for Customer Clustering by Integrating the LRFM Model and Fuzzy Inference System

This study aimed at providing a systematic method to analyze the characteristics of customers’ purchasing behavior in order to improve the performance of customer relationship management system. For this purpose, the improved model of LRFM (including Length, Recency, Frequency, and Monetary indices) was utilized which is now a more common model than the basic RFM model apt for analyzing the cus...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: SSRN Electronic Journal

سال: 2018

ISSN: 1556-5068

DOI: 10.2139/ssrn.3171899