Econometrics and Statistics
2017 - 2026
Current editor(s): E.J. Kontoghiorghes, H. Van Dijk and A.M. Colubi From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
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Volume 15, issue C, 2020
- Iterative estimation correcting for error auto-correlation in short panels, applied to lagged dependent variable models pp. 3-29

- Rembert De Blander
- Combined estimation of semiparametric panel data models pp. 30-45

- Bai Huang, Tae Hwy Lee and Aman Ullah
- Heteroscedastic stratified two-way EC models of single equations and SUR systems pp. 46-66

- Silvia Platoni, Laura Barbieri, Daniele Moro and Paolo Sckokai
- Stable Randomized Generalized Autoregressive Conditional Heteroskedastic Models pp. 67-83

- Jhames M. Sampaio and Pedro A. Morettin
- Modeling non-linear spectral domain dependence using copulas with applications to rat local field potentials pp. 85-103

- Charles Fontaine, Ron D. Frostig and Hernando Ombao
- Bayesian longitudinal spectral estimation with application to resting-state fMRI data analysis pp. 104-116

- Ning Dai, Galin L. Jones and Mark Fiecas
- A hierarchical bayesian model for differential connectivity in multi-trial brain signals pp. 117-135

- Lechuan Hu, Michele Guindani, Norbert J. Fortin and Hernando Ombao
Volume 14, issue C, 2020
- Robust frontier estimation from noisy data: A Tikhonov regularization approach pp. 1-23

- Abdelaati Daouia, Jean-Pierre Florens and Leopold Simar
- A spline function class suitable for demand models pp. 24-37

- Jeppe Rich
- Bootstrap lag selection in DSGE models with expectations correction pp. 38-48

- Giovanni Angelini
- Statistical inferences for realized portfolio weights pp. 49-62

- Vasyl Golosnoy, Wolfgang Schmid, Miriam Isabel Seifert and Taras Lazariv
- The market rank indicator to detect financial distress pp. 63-73

- Silvia Figini, Mario Maggi and Pierpaolo Uberti
- Accurate and robust inference pp. 74-88

- Elvezio Ronchetti
- Regression with I-priors pp. 89-111

- Wicher P Bergsma
- The Multivariate Linear Prediction Problem: Model-Based and Direct Filtering Solutions pp. 112-130

- Tucker McElroy and Marc Wildi
- A Simple Scale-Invariant Two-Sample Test for High-dimensional Data pp. 131-144

- Liang Zhang, Tianming Zhu and Jin-Ting Zhang
- Subjective heterogeneity in response attitude for multivariate ordinal outcomes pp. 145-158

- Rosaria Simone, Gerhard Tutz and Maria Iannario
Volume 13, issue C, 2020
- GMM estimation of affine term structure models pp. 2-15

- Jaroslava Hlouskova and Leopold Sögner
- Microeconometric dynamic panel data methods: Model specification and selection issues pp. 16-45

- Jan Kiviet
- Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity pp. 46-68

- Yuta Kurose and Yasuhiro Omori
- Constructing joint confidence bands for impulse response functions of VAR models – A review pp. 69-83

- Helmut Lütkepohl, Anna Staszewska-Bystrova and Peter Winker
- Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation pp. 84-105

- Xiuping Mao, Veronika Czellar, Esther Ruiz and Helena Veiga
- Variance swap payoffs, risk premia and extreme market conditions pp. 106-124

- Jeroen V.K. Rombouts, Lars Stentoft and Francesco Violante
- Quadratic regression for functional response models pp. 125-136

- Hidetoshi Matsui
- An extreme quantile estimator for the log-generalized Weibull-tail model pp. 137-174

- Clément Albert, Anne Dutfoy, Laurent Gardes and Stéphane Girard
- A general white noise test based on kernel lag-window estimates of the spectral density operator pp. 175-196

- Vaidotas Characiejus and Gregory Rice
Volume 12, issue C, 2019
- The shifting seasonal mean autoregressive model and seasonality in the Central England monthly temperature series, 1772–2016 pp. 1-24

- Changli He, Jian Kang, Timo Teräsvirta and Shuhua Zhang
- Particle filtering, learning, and smoothing for mixed-frequency state-space models pp. 25-41

- Markus Leippold and Hanlin Yang
- Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices pp. 42-65

- Claudio Morana
- Local Whittle estimation of long memory: Standard versus bias-reducing techniques pp. 66-77

- Javier García-Enríquez and Javier Hualde
- Dynamics between trading volume, volatility and open interest in agricultural futures markets: A Bayesian time-varying coefficient approach pp. 78-145

- Robert Czudaj
- The class of copulas arising from squared distributions: Properties and inference pp. 148-166

- Jean-François Quessy and Martin Durocher
- Copula information criterion for model selection with two-stage maximum likelihood estimation pp. 167-180

- Vinnie Ko and Nils Lid Hjort
- Flexible dynamic vine copula models for multivariate time series data pp. 181-197

- Elif F. Acar, Claudia Czado and Martin Lysy
- Modelling temporal dependence of realized variances with vines pp. 198-216

- Claudia Czado, Eugen Ivanov and Yarema Okhrin
Volume 11, issue C, 2019
- A Bayesian analysis of linear regression models with highly collinear regressors pp. 1-21

- Mohammad Pesaran and Ronald Smith
- Modeling Euro STOXX 50 volatility with common and market-specific components pp. 22-42

- Fabrizio Cipollini and Giampiero Gallo
- Mixed interval realized variance: A robust estimator of stock price volatility pp. 43-62

- Maxwell Sutton, Andrey Vasnev and Richard Gerlach
- A two-stage estimator for heterogeneous panel models with common factors pp. 63-82

- Carolina Castagnetti, Eduardo Rossi and Lorenzo Trapani
- The factor analytical method for interactive effects dynamic panel models with moving average errors pp. 83-104

- Milda Norkutė and Joakim Westerlund
- Parameter regimes in partial functional panel regression pp. 105-115

- Dominik Liebl and Fabian Walders
- Adaptive semiparametric M-quantile regression pp. 116-129

- Fabian Otto-Sobotka, Nicola Salvati, Maria Giovanna Ranalli and Thomas Kneib
- Achieving parsimony in Bayesian vector autoregressions with the horseshoe prior pp. 130-144

- Lendie Follett and Cindy Yu
- Oracle inequalities for sign constrained generalized linear models pp. 145-157

- Yuta Koike and Yuta Tanoue
Volume 10, issue C, 2019
- Sign tests for dependent observations pp. 1-8

- Donald Brown and Rustam Ibragimov
- An improved bootstrap test of density ratio ordering pp. 9-26

- Brendan Beare and Xiaoxia Shi
- Closed-form results for vector moving average models with a univariate estimation approach pp. 27-52

- Federico Poloni and Giacomo Sbrana
- On accepting the edge-effect (for the inference of ARMA-type processes in Z2) pp. 53-70

- Chrysoula Dimitriou-Fakalou
- Alternative over-identifying restriction test in the GMM estimation of panel data models pp. 71-95

- Kazuhiko Hayakawa
- Improving weighted least squares inference pp. 96-119

- Cyrus J. DiCiccio, Joseph P. Romano and Michael Wolf
- Joint estimation of multiple network Granger causal models pp. 120-133

- A. Skripnikov and G. Michailidis
- On-line peak detection in medical time series with adaptive regression methods pp. 134-150

- Carlo Grillenzoni and Michele Fornaciari
- A Harris process to model stochastic volatility pp. 151-169

- Michelle Anzarut and Ramsés H. Mena
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