Econometric Reviews
1997 - 2025
Current editor(s): Dr. Essie Maasoumi From Taylor & Francis Journals Bibliographic data for series maintained by (). Access Statistics for this journal.
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Volume 38, issue 10, 2019
- Likelihood inference for dynamic linear models with Markov switching parameters: on the efficiency of the Kim filter pp. 1109-1130

- Young Min Kim and Kyu Ho Kang
- Testing explosive bubbles with time-varying volatility pp. 1131-1151

- David Harvey, Stephen Leybourne and Yang Zu
- The Gibbs sampler with particle efficient importance sampling for state-space models* pp. 1152-1175

- Oliver Grothe, Tore Kleppe and Roman Liesenfeld
- A general inversion theorem for cointegration pp. 1176-1201

- Massimo Franchi and Paolo Paruolo
- A joint test for parametric specification and independence in nonlinear regression models pp. 1202-1215

- Shuo Li and Yundong Tu
- List of Referees pp. 1216-1217

- The Editors
Volume 38, issue 9, 2019
- A practical guide to compact infinite dimensional parameter spaces pp. 979-1006

- Joachim Freyberger and Matthew Masten
- Particle learning for Bayesian semi-parametric stochastic volatility model pp. 1007-1023

- Audrone Virbickaite, Hedibert F. Lopes, M. Concepción Ausín and Pedro Galeano
- Generalized information matrix tests for copulas pp. 1024-1054

- Artem Prokhorov, Ulf Schepsmeier and Yajing Zhu
- Double filter instrumental variable estimation of panel data models with weakly exogenous variables pp. 1055-1088

- Kazuhiko Hayakawa, Meng Qi and Jörg Breitung
- Robust block bootstrap panel predictability tests pp. 1089-1107

- Stephan Smeekes and Joakim Westerlund
Volume 38, issue 8, 2019
- Sparse Change-point HAR Models for Realized Variance pp. 857-880

- Arnaud Dufays and Jeroen V. K. Rombouts
- Quasi-likelihood ratio tests for cointegration, cobreaking, and cotrending pp. 881-898

- Josep Carrion-i-Silvestre and Dukpa Kim
- Efficient Bayesian inference in generalized inverse gamma processes for stochastic volatility pp. 899-920

- Roberto Leon-Gonzalez
- Simultaneous equations with binary outcomes and social interactions pp. 921-937

- Xiaodong Liu
- Inference on local average treatment effects for misclassified treatment pp. 938-960

- Takahide Yanagi
- Estimation in a semiparametric panel data model with nonstationarity pp. 961-977

- Chaohua Dong, Jiti Gao and Bin Peng
Volume 38, issue 7, 2019
- Revisiting the transitional dynamics of business cycle phases with mixed-frequency data pp. 711-732

- Marie Bessec
- Nonparametric localized bandwidth selection for Kernel density estimation pp. 733-762

- Tingting Cheng, Jiti Gao and Xibin Zhang
- Focused information criterion for locally misspecified vector autoregressive models pp. 763-792

- Jan Lohmeyer, Franz Palm, Hanno Reuvers and Jean-Pierre Urbain
- Ratio tests under limiting normality pp. 793-813

- Uwe Hassler and Mehdi Hosseinkouchack
- OLS and IV estimation of regression models including endogenous interaction terms pp. 814-827

- Maurice J. G. Bun and Teresa Harrison
- Structural breaks in panel data: Large number of panels and short length time series pp. 828-855

- Jaromír Antoch, Jan Hanousek, Lajos Horvath, Marie Hušková and Shixuan Wang
Volume 38, issue 6, 2019
- Model selection for factor analysis: Some new criteria and performance comparisons pp. 577-596

- In Choi and Hanbat Jeong
- Parameter estimation and inference with spatial lags and cointegration pp. 597-635

- Jan Mutl and Leopold Sögner
- Functional coefficient time series models with trending regressors pp. 636-659

- Tingting Cheng
- Neglecting structural breaks when estimating and valuing dynamic correlations for asset allocation pp. 660-678

- Andreea Halunga and Christos Savva
- Binary quantile regression and variable selection: A new approach pp. 679-694

- Katerina Aristodemou, Jian He and Keming Yu
- Size distributions reconsidered pp. 695-710

- Christian Schluter and Mark Trede
Volume 38, issue 5, 2019
- Alternative diff-in-diffs estimators with several pretreatment periods pp. 465-486

- Ricardo Mora Villarrubia and Iliana Reggio
- Multivariate Return Decomposition: Theory and Implications pp. 487-508

- Stanislav Anatolyev and Nikolay Gospodinov
- Wild bootstrap seasonal unit root tests for time series with periodic nonstationary volatility pp. 509-532

- Giuseppe Cavaliere, Anton Skrobotov and Robert Taylor
- Symbolic correlation integral pp. 533-556

- M. Victoria Caballero-Pintado, Mariano Matilla-García and Manuel Ruiz Marin
- A nonparametric specification test for the volatility functions of diffusion processes pp. 557-576

- Qiang Chen, Meidi Hu and Xiaojun Song
Volume 38, issue 4, 2019
- GMM estimation of spatial autoregressive models in a system of simultaneous equations with heteroskedasticity pp. 359-385

- Xiaodong Liu and Paulo Saraiva
- Nonstationary nonlinear quantile regression pp. 386-416

- Yoshimasa Uematsu
- Common threshold in quantile regressions with an application to pricing for reputation pp. 417-450

- Liangjun Su and Pai Xu
- Using point optimal test of a simple null hypothesis for testing a composite null hypothesis via maximized Monte Carlo approach pp. 451-464

- Sivagowry Sriananthakumar
Volume 38, issue 3, 2019
- Similarity-based model for ordered categorical data pp. 263-278

- Gabi Gayer, Offer Lieberman and Omer Yaffe
- The estimation uncertainty of permanent-transitory decompositions in co-integrated systems pp. 279-300

- Sven Schreiber
- Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects pp. 301-318

- Andrés Ramírez Hassan and Santiago Montoya Blandón
- Double AR model without intercept: An alternative to modeling nonstationarity and heteroscedasticity pp. 319-331

- Dong Li, Shaojun Guo and Ke Zhu
- Estimation bias and bias correction in reduced rank autoregressions pp. 332-349

- Heino Bohn Nielsen
- Identification of average marginal effects under misspecification when covariates are normal pp. 350-357

- José Ignacio Cuesta, Jonathan Davis, Andrew Gianou and Alejandro Hoyos Suarez
Volume 38, issue 2, 2019
- Expansion and estimation of Lévy process functionals in nonlinear and nonstationary time series regression pp. 125-150

- Chaohua Dong and Jiti Gao
- Inference for the tail index of a GARCH(1,1) model and an AR(1) model with ARCH(1) errors pp. 151-169

- Rongmao Zhang, Chenxue Li and Liang Peng
- Bias-corrected realized variance pp. 170-192

- Jin-Huei Yeh and Jying-Nan Wang
- Practical procedures to deal with common support problems in matching estimation pp. 193-207

- Michael Lechner and Anthony Strittmatter
- The unconditional distributions of the OLS, TSLS and LIML estimators in a simple structural equations model pp. 208-247

- Giovanni Forchini and Bin Jiang
- Portmanteau tests for linearity of stationary time series pp. 248-262

- Zacharias Psaradakis and Marian Vavra
Volume 38, issue 1, 2019
- Fellows and Scholars of Econometric Reviews pp. 1-3

- Esfandiar Maasoumi
- Estimation of nonseparable models with censored dependent variables and endogenous regressors pp. 4-24

- Luke Taylor and Taisuke Otsu
- A goodness-of-fit test for regular vine copula models pp. 25-46

- Ulf Schepsmeier
- Information measures of kernel estimation pp. 47-68

- Neshat Beheshti, Jeffrey Racine and Ehsan S. Soofi
- Wavelet energy ratio unit root tests pp. 69-94

- Mirza Trokić
- Two-sample least squares projection pp. 95-123

- David Pacini
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