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Robust resampling methods for time series

Camponovo, Lorenzo; Scaillet, Olivier; Trojani, Fabio - 2010 - This version: May 9, 2010

We study the robustness of block resampling procedures for time series. We first derive a set of formulas to … applications. This renders inference based on standard resampling methods useless already in simple estimation and testing settings …. To solve this problem, we introduce a robust fast resampling scheme that is applicable to a wide class of time series …

Persistent link: https://www.econbiz.de/10003971115

How to implement the bootstrap in static or stable dynamic regression models

Giersbergen, Noud P. A. van; Kiviet, J. F. - 2001

By combining two alternative formulations of a test statistic with two alternative resamplingschemes we obtain four different bootstrap tests. In the context of static linear regression modelstwo of these are shown to have serious size and power problems, whereas the remaining two areadequate...

Persistent link: https://www.econbiz.de/10011325661

Cluster-robust jackknife and bootstrap inference for binary response models

MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2024

We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but also the most computationally demanding, involves...

Persistent link: https://www.econbiz.de/10015048740

A Simple Test for Linearity Against Exponential Smooth Transition Models with Endogenous Variables

Massacci, Daniele - 2017

This paper proposes a test for linearity against exponential smooth transition models with endogenous right-hand-side variables: to the very best of our knowledge, this class of models is new to the literature. By Monte Carlo analysis the test is shown to have good finite sample properties

Persistent link: https://www.econbiz.de/10014176554

New Solution to Time Series Inference in Spurious Regression Problems

Vinod, Hrishikesh D. - 2010

Phillips (1986) provides asymptotic theory for regressions that relate nonstationary time series including those integrated of order 1, I(1). A practical implication of related literature on spurious regression is that one cannot trust the usual confidence intervals. Therefore it is recommended...

Persistent link: https://www.econbiz.de/10014197508

Testing for a Threshold in Models with Endogenous Regressors

Rothfelder, Mario - 2016

Using 2SLS estimation, we propose two tests for a threshold in models with endogenous regressors: a sup LR test and a sup Wald test. Here, the 2SLS estimation is not conventional because it uses additional information about the first-stage being linear or not. Because of this additional...

Persistent link: https://www.econbiz.de/10012985845

Testing for a Threshold in Models with Endogenous Regressors

Rothfelder, Mario - 2019

We propose two new parametric tests for an unknown threshold in models with endogenous regressors. They are both based on unconventional 2SLS estimators that use additional information about the linearity of the first stage. This information leads to more accurate residuals and therefore tests...

Persistent link: https://www.econbiz.de/10012860181

Robust Estimation and Inference for Threshold Models with Integrated Regressors

Chen, Haiqiang - 2013

This paper studies the robust estimation and inference of threshold models with integrated regressors. We derive the asymptotic distribution of the profiled least squares (LS) estimator under the diminishing threshold effect assumption that the size of the threshold effect converges to zero....

Persistent link: https://www.econbiz.de/10013079709

Simulation-based finite-sample linearity test against smooth transition models

González, Andrés (contributor); … - 2005

In this paper we use Monte Carlo testing techniques for testing linearity against the smooth transition models. The Monte Carlo approach allows us to introduce a new test that differs from the tests existing in the literature in two respects. First, the test is exact in the sense that the...

Persistent link: https://www.econbiz.de/10003073820

The Phantom Menace of Omitted Variables – a Comment

Ritter, Nolan; Vance, Colin - 2011

This note demonstrates that in applied regression analysis, the variance of a coefficient of interest may decrease from the inclusion of a control variable, contrasting with Clarke’s assertion (2005, 2009) that the variance can only increase or stay the same. Practitioners may thus be...

Persistent link: https://www.econbiz.de/10014177659