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Bootstrap tests for overidentification in linear regression models

Davidson, Russell; MacKinnon, James G. - In: Econometrics : open access journal 3 (2015) 4, pp. 825-863

-defined. Several bootstrap procedures are proposed. They alleviate the problem and allow reliable inference when the instruments are …

Persistent link: https://www.econbiz.de/10011411381

On the Stock-Yogo tables

Skeels, Christopher L.; Windmeijer, Frank - In: Econometrics : open access journal 6 (2018) 4, pp. 1-23

A standard test for weak instruments compares the first-stage F-statistic to a table of critical values obtained by Stock and Yogo (2005) using simulations. We derive a closed-form solution for the expectation from which these critical values are derived, as well as present some second-order...

Persistent link: https://www.econbiz.de/10011945785

A comparison of some bayesian and classical procedures for simultaneous equation models with weak instruments

Gao, Chuanming; Lahiri, Kajal - In: Econometrics : open access journal 7 (2019) 3/33, pp. 1-28

We compare the finite sample performance of a number of Bayesian and classical procedures for limited information simultaneous equations models with weak instruments by a Monte Carlo study. We consider Bayesian approaches developed by Chao and Phillips, Geweke, Kleibergen and van Dijk, and...

Persistent link: https://www.econbiz.de/10012161526

On diagnostic checking of vector ARMA-GARCH models with Gaussian and Student-t innovations

Wang, Yongning; Tsay, Ruey S. - In: Econometrics : open access journal 1 (2013) 1, pp. 1-31

model checking. A residual-based bootstrap method is provided and demonstrated as an effective way to approximate the …

Persistent link: https://www.econbiz.de/10009754537

Bias-correction in vector autoregressive models : a simulation study

Engsted, Tom; Pedersen, Thomas Q. - In: Econometrics : open access journal 2 (2014) 1, pp. 45-71

compares very favorably to bootstrap bias-correction, both in terms of bias and mean squared error. In non-stationary models …

Persistent link: https://www.econbiz.de/10010336196

Testing for a set of linear restrictions in VARMA models using autoregressive metric : an application to Granger causality test

Di Iorio, Francesca; Triacca, Umberto - In: Econometrics : open access journal 2 (2014) 4, pp. 203-216

In this paper we propose a test for a set of linear restrictions in a Vector Autoregressive Moving Average (VARMA) model. This test is based on the autoregressive metric, a notion of distance between two univariate ARMA models, M0 and M1, introduced by Piccolo in 1990. In particular, we show...

Persistent link: https://www.econbiz.de/10010479050

On bootstrap inference for quantile regression panel data : a Monte Carlo study

Galvão Júnior, Antônio Fialho; Montes-Rojas, Gabriel - In: Econometrics : open access journal 3 (2015) 3, pp. 654-666

This paper evaluates bootstrap inference methods for quantile regression panel data models. We propose to construct … confidence intervals for the parameters of interest using percentile bootstrap with pairwise resampling. We study three different … bootstrapping procedures. First, the bootstrap samples are constructed by resampling only from cross-sectional units with …

Persistent link: https://www.econbiz.de/10011410652

Asymptotic distribution and finite sample bias correction of QML estimators for spatial error dependence model

Liu, Shew Fan; Yang, Zhenlin - In: Econometrics : open access journal 3 (2015) 2, pp. 376-411

In studying the asymptotic and finite sample properties of quasi-maximum likelihood (QML) estimators for the spatial linear regression models, much attention has been paid to the spatial lag dependence (SLD) model; little has been given to its companion, the spatial error dependence (SED) model....

Persistent link: https://www.econbiz.de/10011297624

On the validity of tests for asymmetry in residual-based threshold cointegration models

Schild, Karl-Heinz; Schweikert, Karsten - In: Econometrics : open access journal 7 (2019) 1/12, pp. 1-13

-run asymmetry are generally oversized if the threshold parameter is estimated by conditional least squares and show that bootstrap …

Persistent link: https://www.econbiz.de/10012025641

Optimal multi-step-ahead prediction of ARCH/GARCH models and NoVaS transformation

Chen, Jie; Politis, Dimitris N. - In: Econometrics : open access journal 7 (2019) 3/34, pp. 1-23

This paper gives a computer-intensive approach to multi-step-ahead prediction of volatility in financial returns series under an ARCH/GARCH model and also under a model-free setting, namely employing the NoVaS transformation. Our model-based approach only assumes i..id innovations without...

Persistent link: https://www.econbiz.de/10012160870