Report NEP-ECM-2014-09-29
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.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-ECM
The following items were announced in this report:
- Joseph P. Romano & Michael Wolf, 2014. "Resurrecting weighted least squares," ECON - Working Papers 172, Department of Economics - University of Zurich, revised Oct 2016.
- Minxian Yang, 2014. "Binary Choice Model with Endogeneity: Identification via Heteroskedasticity," Discussion Papers 2014-34, School of Economics, The University of New South Wales.
- Javier Gómez Biscarri & Javier Hualde, 2014. "A residual-based ADF test for stationary cointegration in I (2) settings," Economics Working Papers 1439, Department of Economics and Business, Universitat Pompeu Fabra.
- Aman Ullah & Yong Bao & Ru Zhang, 2014. "Moment Approximation for Unit Root Models with Nonnormal Errors," Working Papers 201401, University of California at Riverside, Department of Economics.
- Søren Johansen & Bent Nielsen, 2014. "Outlier detection algorithms for least squares time series regression," Economics Papers 2014-W04, Economics Group, Nuffield College, University of Oxford.
- Chen, Cathy W.S. & Gerlach, Richard & Lin, Edward M.H., 2014. "Bayesian Assessment of Dynamic Quantile Forecasts," Working Papers 2014-04, University of Sydney Business School, Discipline of Business Analytics.
- Roberto Leon-Gonzalez, 2014. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," GRIPS Discussion Papers 14-12, National Graduate Institute for Policy Studies.
- Bloechl, Andreas, 2014. "Penalized Splines, Mixed Models and the Wiener-Kolmogorov Filter," Discussion Papers in Economics 21406, University of Munich, Department of Economics.
- Bertrand Hassani & Alexis Renaudin, 2013. "The Cascade Bayesian Approach for a controlled integration of internal data, external data and scenarios," Post-Print halshs-00795046, HAL.
- Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2014. "Forecasting Equity Premium: Global Historical Average versus Local Historical Average and Constraints," Working Papers 201405, University of California at Riverside, Department of Economics.
- Tae-Hwy Lee & Huiyu Huang, 2014. "Forecasting Realized Volatility Using Subsample Averaging," Working Papers 201410, University of California at Riverside, Department of Economics.
- Raffaella Giacomini & Barbara Rossi, 2014. "Model comparisons in unstable environments," Economics Working Papers 1437, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 2015.
- Massimiliano Caporin & Eduardo Rossi & Paolo Santucci de Magistris, 2014. "Chasing volatility - A persistent multiplicative error model with jumps," CREATES Research Papers 2014-29, Department of Economics and Business Economics, Aarhus University.
- Andrew J. Buck & George M. Lady, 2014. "A New Approach to Model Verification, Falsification and Selection," DETU Working Papers 1403, Department of Economics, Temple University.
- Rohini Grover & Ajay Shah, 2014. "The imprecision of volatility indexes," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-031, Indira Gandhi Institute of Development Research, Mumbai, India.
- Frédéric Jouneau-Sion & Olivier Torrès, 2014. "In Fisher's net : exact F-tests in semi-parametric models with exchangeable errors," Working Papers halshs-01062623, HAL.
- Takeshi Kimura & Jouchi Nakajima, 2013. "Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach," Bank of Japan Working Paper Series 13-E-7, Bank of Japan.
- Takashi Isogai, 2014. "Benchmarking of Unconditional VaR and ES Calculation Methods: A Comparative Simulation Analysis with Truncated Stable Distribution," Bank of Japan Working Paper Series 14-E-1, Bank of Japan.
- Nien-Lin Liu & Hoang-Long Ngo, 2014. "Approximation of eigenvalues of spot cross volatility matrix with a view toward principal component analysis," Papers 1409.2214, arXiv.org.