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Change point estimation in panel data without boundary issue

Peštová, Barbora; Pešta, Michal - In: Risks : open access journal 5 (2017) 1, pp. 1-22

Panel data of our interest consist of a moderate number of panels, while the panels contain a small number of observations. An estimator of common breaks in panel means without a boundary issue for this kind of scenario is proposed. In particular, the novel estimator is able to detect a common...

Persistent link: https://www.econbiz.de/10011636497

Inference for structural impulse responses in SVAR-GARCH models

Bruder, Stefan - 2018

heteroskedastic SVAR-GARCH model and propose a bootstrap-based inference procedure on structural impulse responses. We compare the … finite-sample properties of our bootstrap method with those of two competing bootstrap methods via extensive Monte Carlo …

Persistent link: https://www.econbiz.de/10011817166

A bootstrap test for instrument validity in heterogeneous treatment effect models

Kitagawa, Toru - 2013

bootstrap algorithm to implement the proposed test and show its asymptotic validity. The proposed test procedure can apply to …

Persistent link: https://www.econbiz.de/10010190476

Improved inference on the rank of a matrix

Chen, Qihui; Fang, Zheng - In: Quantitative economics : QE ; journal of the … 10 (2019) 4, pp. 1787-1824

under are highly nonstandard due to the inherent irregular natures of the problem, and then construct bootstrap critical …

Persistent link: https://www.econbiz.de/10012202917

The Romano-Wolf multiple hypothesis correction in Stata

Clarke, Damian; Romano, Joseph P.; Wolf, Michael - 2019

When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...

Persistent link: https://www.econbiz.de/10012147332

Small sample adjustment for hypotheses testing on cointegrating vectors

Canepa, Alessandra - In: Journal of time series econometrics 14 (2022) 1, pp. 51-85

Persistent link: https://www.econbiz.de/10013260145

Predictability hidden by anomalous observations

Camponovo, Lorenzo; Scaillet, Olivier; Trojani, Fabio - 2013 - This version: March 2013

Persistent link: https://www.econbiz.de/10010221576

Improving weighted least squares inference

DiCiccio, Cyrus J.; Romano, Joseph P.; Wolf, Michael - 2016

shown that a bootstrap approximation to the sampling distribution of the weighted least squares estimate is valid, which …-sample properties of this new estimator as well as the improvements in performance realized by bootstrap confidence intervals. …

Persistent link: https://www.econbiz.de/10011518606

Using large samples in econometrics

MacKinnon, James G. - 2021

As I document using evidence from a journal data repository that I manage, the datasets used in empirical work are getting larger. When we use very large datasets, it can be dangerous to rely on standard methods for statistical inference. In addition, we need to worry about computational issues....

Persistent link: https://www.econbiz.de/10012815681

The use of the bootstrap method for the assessment of investment effectiveness and risk : the case of confidence intervals estimation for the Sharpe ratio and TailVaR

Klaudia, Jarno; Łukasz, Smaga - In: Journal of banking and financial economics 1 (2020) 13, pp. 40-50

This paper is aimed at presenting application of bootstrap interval estimation methods to the assessment of financial … investment’s effectiveness and risk. At first, we give an overview of various methods of bootstrap confidence interval estimation …, i.e. bootstrap-t interval, percentile interval and BCa interval. Then, bootstrap confidence interval estimation methods …

Persistent link: https://www.econbiz.de/10012887711