Report NEP-ECM-2019-11-04

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:

• Tae-Hwy Lee & Aman Ullah & He Wang, 2018. "The Second-order Asymptotic Properties of Asymmetric Least Squares Estimation," Working Papers 201910, University of California at Riverside, Department of Economics.
• Marc Hallin & Davide La Vecchia & H Liu, 2019. "Center-Outward R-Estimation for Semiparametric VARMA Models," Working Papers ECARES 2019-25, ULB -- Universite Libre de Bruxelles.
• Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Stein-like Shrinkage Estimation of Panel Data Models with Common Correlated Effects," Working Papers 201905, University of California at Riverside, Department of Economics.
• Aman Ullah & Shujie Ma & Jeffrey Racine, 2019. "Nonparametric Estimation of Marginal Effects in Regression-spline Random Effects Models," Working Papers 201920, University of California at Riverside, Department of Economics.
• Sarojini Hirshleifer & Dalia Ghanem & Karen Ortiz-Becerra, 2019. "Testing for Attrition Bias in Field Experiments," Working Papers 201919, University of California at Riverside, Department of Economics, revised Aug 2019.
• Xuan Liang & Jiti Gao & Xiaodong Gong, 2019. "Time-Varying Coefficient Spatial Autoregressive Panel Data Model with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 26/19, Monash University, Department of Econometrics and Business Statistics.
• Jaeheon Jung, 2019. "Estimating a Large Covariance Matrix in Time-varying Factor Models," Papers 1910.11965, arXiv.org.
• Sven Husmann & Antoniya Shivarova & Rick Steinert, 2019. "Cross-validated covariance estimators for high-dimensional minimum-variance portfolios," Papers 1910.13960, arXiv.org, revised Oct 2020.
• Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.
• Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "A Combined Random Effect and Fixed Effect Forecast for Panel Data Models," Working Papers 201906, University of California at Riverside, Department of Economics.
• Adrian Pagan & Tim Robinson, 2019. "Implications of Partial Information for Applied Macroeconomic Modelling," Melbourne Institute Working Paper Series wp2019n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
• Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Combined Estimation of Semiparametric Panel Data Models," Working Papers 201915, University of California at Riverside, Department of Economics.
• Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
• Tae-Hwy Lee & Jianghao Chu & Aman Ullah, 2018. "Variable Selection in Sparse Semiparametric Single Index Models," Working Papers 201908, University of California at Riverside, Department of Economics.
• Ruoyao Shi & Cheng Chou, 2019. "What Time Use Surveys Can (And Cannot) Tell Us about Labor Supply," Working Papers 201912, University of California at Riverside, Department of Economics.
• Tae-Hwy Lee & Aman Ullah & Ran Wang, 2019. "Bootstrap Aggregating and Random Forest," Working Papers 201918, University of California at Riverside, Department of Economics.
• Tae-Hwy Lee & Jianghao Chu & Aman Ullah, 2018. "Component-wise AdaBoost Algorithms for High-dimensional Binary Classi fication and Class Probability Prediction," Working Papers 201907, University of California at Riverside, Department of Economics.
• Halbleib, Roxana & Dimitriadis, Timo, 2019. "How informative is high-frequency data for tail risk estimation and forecasting? An intrinsic time perspectice," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203669, Verein für Socialpolitik / German Economic Association.
• Krikamol Muandet & Arash Mehrjou & Si Kai Lee & Anant Raj, 2019. "Dual Instrumental Variable Regression," Papers 1910.12358, arXiv.org, revised Oct 2020.
• Sergei Seleznev, 2019. "Truncated priors for tempered hierarchical Dirichlet process vector autoregression," Bank of Russia Working Paper Series wps47, Bank of Russia.
• Tae-Hwy Lee & Jianghao Chu & Aman Ullah & Ran Wang, 2019. "Boosting," Working Papers 201917, University of California at Riverside, Department of Economics.
• Timo Dimitriadis & Andrew J. Patton & Patrick W. Schmidt, 2019. "Testing Forecast Rationality for Measures of Central Tendency," Papers 1910.12545, arXiv.org, revised Jul 2024.
• Sven Husmann & Antoniya Shivarova & Rick Steinert, 2019. "Sparsity and Stability for Minimum-Variance Portfolios," Papers 1910.11840, arXiv.org.