Report NEP-ECM-2024-03-25
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, or Bluesky.
Other reports in NEP-ECM
The following items were announced in this report:
- Sungwon Lee, 2023. "Efficient Estimation of Binary Choice Models with Panel Data," Working Papers 2302, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
- Young, Alwyn, 2024. "Asymptotically robust permutation-based randomization confidence intervals for parametric OLS regression," LSE Research Online Documents on Economics 120933, London School of Economics and Political Science, LSE Library.
- Jackson Bunting & Paul Diegert & Arnaud Maurel, 2024. "Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation," NBER Working Papers 32164, National Bureau of Economic Research, Inc.
- Sungwon Lee, 2023. "Efficient Estimation of a Triangular System of Equations for Quantile Regression," Working Papers 2301, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
- Zhang, Xinyu & Li, Dong & Tong, Howell, 2023. "On the least squares estimation of multiple-threshold-variable autoregressive models," LSE Research Online Documents on Economics 118377, London School of Economics and Political Science, LSE Library.
- Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin & Daniel F. Waggoner, 2024. "Inference Based on Time-Varying SVARs Identified with Sign Restrictions," Working Papers 24-05, Federal Reserve Bank of Philadelphia.
- Alexander Mayer & Dominik Wied & Victor Troster, 2024. "Quantile Granger Causality in the Presence of Instability," Papers 2402.09744, arXiv.org, revised Dec 2024.
- Jikai Jin & Vasilis Syrgkanis, 2024. "Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation," Papers 2402.14264, arXiv.org, revised Mar 2024.
- Tadao Hoshino, 2024. "Functional Spatial Autoregressive Models," Papers 2402.14763, arXiv.org, revised Oct 2024.
- Juan Carlos Escanciano & Ricardo Parra, 2024. "Extending the Scope of Inference About Predictive Ability to Machine Learning Methods," Papers 2402.12838, arXiv.org, revised Apr 2024.
- Suparna Biswas & Rituparna Sen, 2024. "Estimation of Spectral Risk Measure for Left Truncated and Right Censored Data," Papers 2402.14322, arXiv.org.
- Pablo Geraldo Bast'ias, 2024. "Credible causal inference beyond toy models," Papers 2402.11659, arXiv.org.
- Lucas Girard & Yannick Guyonvarch, 2024. "Bridging Methodologies: Angrist and Imbens' Contributions to Causal Identification," Papers 2402.13023, arXiv.org.
- Steven Y. K. Wong & Jennifer S. K. Chan & Lamiae Azizi, 2024. "Quantifying neural network uncertainty under volatility clustering," Papers 2402.14476, arXiv.org, revised Sep 2024.
- Kaori Narita & J.D. Tena & Claudio Detotto, 2022. "Causal Inference with Observational Data: A Tutorial on Propensity Score Analysis," Working Papers 202225, University of Liverpool, Department of Economics.
- Cathy W. S. Chen & Takaaki Koike & Wei-Hsuan Shau, 2024. "Tail risk forecasting with semi-parametric regression models by incorporating overnight information," Papers 2402.07134, arXiv.org.
- Julian Granna & Stefan Lang & Nikolaus Umlauf, 2024. "A Parsimonious Hedonic Distributional Regression Model for Large Data with Heterogeneous Covariate Effects," Working Papers 2024-02, Faculty of Economics and Statistics, Universität Innsbruck.
- Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2024. "A Long-Memory Model for Multiple Cycles with an Application to the S&P500," CESifo Working Paper Series 10947, CESifo.
- Kei Nakagawa & Kohei Hayashi & Yugo Fujimoto, 2024. "CFTM: Continuous time fractional topic model," Papers 2402.01734, arXiv.org, revised Feb 2024.
- Edward S. Knotek & Saeed Zaman, 2024. "Nowcasting Inflation," Working Papers 24-06, Federal Reserve Bank of Cleveland.
- P.L. Conti & M.G. Pittau & R. Zelli, 2024. "Inference for deprivation profiles in a binary setting," Working Paper CRENoS 202405, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.