Report NEP-ECM-2018-12-24

This is the archive for NEP-ECM, a report on new working papers in the area of Econometrics. Sune Karlsson issued this report. It is usually issued weekly.

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Other reports in NEP-ECM

The following items were announced in this report:

• David Harvey & Stephen Leybourne & Yang Zu, 2018. "Testing explosive bubbles with time-varying volatility," Discussion Papers 18/05, University of Nottingham, Granger Centre for Time Series Econometrics.
• John Mullahy, 2018. "Treatment Effects with Multiple Outcomes," NBER Working Papers 25307, National Bureau of Economic Research, Inc.
• Tingting Cheng & Jiti Gao & Yayi Yan, 2018. "Regime switching panel data models with interative fixed effects," Monash Econometrics and Business Statistics Working Papers 21/18, Monash University, Department of Econometrics and Business Statistics.
• Marco Bee, 2018. "Estimating the wrapped stable distribution via indirect inference," DEM Working Papers 2018/11, Department of Economics and Management.
• Abdelhadi Akharif & Mohamed Fihri & Marc Hallin & Amal Mellouk, 2018. "Optimal Pseudo-Gaussian and Rank-Based Random Coefficient Detection in Multiple Regression," Working Papers ECARES 2018-39, ULB -- Universite Libre de Bruxelles.
• Peter C.B. Phillips & Yonghui Zhang & Xiaohu Wang, 2018. "HAR Testing for Spurious Regression in Trend," Cowles Foundation Discussion Papers 2153, Cowles Foundation for Research in Economics, Yale University.
• D.M. Nachane, "undated". "Time-varying spectral analysis: Theory and applications," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2018-025, Indira Gandhi Institute of Development Research, Mumbai, India.
• Fedotenkov, Igor, 2018. "A review of more than one hundred Pareto-tail index estimators," MPRA Paper 90072, University Library of Munich, Germany.
• Marco Bee & Julien Hambuckers & Luca Trapin, 2018. "Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach," DEM Working Papers 2018/08, Department of Economics and Management.
• Luigi Grossi & Fany Nan, 2018. "The influence of renewables on electricity price forecasting: a robust approach," Working Papers 2018/10, Institut d'Economia de Barcelona (IEB).
• Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2018. "Testing Fractional Unit Roots with Non-linear Smooth Break Approximations using Fourier functions," MPRA Paper 90516, University Library of Munich, Germany.
• Peter C.B. Phillips, 2018. "Dynamic Panel Modeling of Climate Change," Cowles Foundation Discussion Papers 2150, Cowles Foundation for Research in Economics, Yale University.
• Lorenzo Trapani, 2018. "Testing for strict stationarity in a random coefficient autoregressive model," Discussion Papers 18/02, University of Nottingham, Granger Centre for Time Series Econometrics.
• Carlo Fezzi & Luca Mosetti, 2018. "Size matters: Estimation sample length and electricity price forecasting accuracy," DEM Working Papers 2018/10, Department of Economics and Management.
• Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
• Antonio Pacifico, 2018. "Panel Bayesian VAR Modeling for Policy and Forecasting when dealing with confounding and latent effects," EERI Research Paper Series EERI RP 2018/15, Economics and Econometrics Research Institute (EERI), Brussels.
• Tan, Fei, 2018. "A Frequency-Domain Approach to Dynamic Macroeconomic Models," MPRA Paper 90487, University Library of Munich, Germany.
• Tue Gorgens & Allan H. Würtz, 2018. "Threshold regression with endogeneity for short panels," ANU Working Papers in Economics and Econometrics 2018-665, Australian National University, College of Business and Economics, School of Economics.
• Pablo Montero-Manso & George Athanasopoulos & Rob J Hyndman & Thiyanga S Talagala, 2018. "FFORMA: Feature-based forecast model averaging," Monash Econometrics and Business Statistics Working Papers 19/18, Monash University, Department of Econometrics and Business Statistics.
• Tingting Cheng & Jiti Gao & Yayi Yan, 2018. "Regime switching in the presence of endogeneity," Monash Econometrics and Business Statistics Working Papers 9/18, Monash University, Department of Econometrics and Business Statistics.
• Lajos Horvath & Lorenzo Trapani, 2018. "Testing for randomness in a random coefficient autoregression model," Discussion Papers 18/03, University of Nottingham, Granger Centre for Time Series Econometrics.
• Loann D. Desboulets & Costin Protopopescu, 2018. "Local Linear Dependence Measure for Functionally Correlated Variables," AMSE Working Papers 1853, Aix-Marseille School of Economics, France.
• Item repec:cte:werepe:27821 is not listed on IDEAS anymore

• Mario Forni & Luca Gambetti & Luca Sala, 2018. "Fundamentalness, Granger Causality and Aggregation," Center for Economic Research (RECent) 139, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
• Qihui Chen & Zheng Fang, 2018. "Improved Inference on the Rank of a Matrix," Papers 1812.02337, arXiv.org, revised Mar 2019.
• Christopher J. Ruhm, 2018. "Shackling the Identification Police?," NBER Working Papers 25320, National Bureau of Economic Research, Inc.
• Henry, Miguel & Mittelhammer, Ron & Loomis, John, 2018. "An Information-Theoretic Approach to Estimating Willingness To Pay for River Recreation Site Attributes," MPRA Paper 89842, University Library of Munich, Germany.
• Sung Jae Jun & Sokbae Lee, 2018. "Identifying the Effect of Persuasion," Papers 1812.02276, arXiv.org, revised Nov 2022.
• Loann D. Desboulets, 2017. "Co-movements in Market Prices and Fundamentals: A Semiparametric Multivariate GARCH Approach," AMSE Working Papers 1851, Aix-Marseille School of Economics, France.
• Loann D. Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," AMSE Working Papers 1852, Aix-Marseille School of Economics, France.
• Gunnhildur H. Steinbakk & Alex Lenkoski & Ragnar Bang Huseby & Anders L{o}land & Tor Arne {O}ig{aa}rd, 2018. "Using published bid/ask curves to error dress spot electricity price forecasts," Papers 1812.02433, arXiv.org.
• Deepankar Basu, 2018. "Bias of OLS Estimators due to Exclusion of Relevant Variables and Inclusion of Irrelevant Variables," UMASS Amherst Economics Working Papers 2018-19, University of Massachusetts Amherst, Department of Economics.