Report NEP-ECM-2024-10-21

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:

• Arboleda Cárcamo, David, 2024. "Fitting a Curve to the Pre-Trends," Documentos CEDE 21199, Universidad de los Andes, Facultad de Economía, CEDE.
• Gregory Fletcher Cox, 2024. "A Simple and Adaptive Confidence Interval when Nuisance Parameters Satisfy an Inequality," Papers 2409.09962, arXiv.org.
• Jean-Marie Dufour & Endong Wang, 2024. "Simple robust two-stage estimation and inference for generalized impulse responses and multi-horizon causality," Papers 2409.10820, arXiv.org.
• Taras Bodnar & Nikolaus Hautsch & Yarema Okhrin & Nestor Parolya, 2024. "Consistent Estimation of the High-Dimensional Efficient Frontier," Papers 2409.15103, arXiv.org.
• Jinyong Hahn & Zhipeng Liao & Nan Liu & Ruoyao Shi, 2024. "Econometric Inference Using Hausman Instruments," Working Papers 202405, University of California at Riverside, Department of Economics.
• Rios-Avila, Fernando & Siles, Leonardo & Canavire Bacarreza, Gustavo J., 2024. "Estimating Quantile Regressions with Multiple Fixed Effects through Method of Moments," IZA Discussion Papers 17262, Institute of Labor Economics (IZA).
• Jannik Kreye & Philipp Sibbertsen, 2024. "Testing for a Forecast Accuracy Breakdown under Long Memory," Papers 2409.07087, arXiv.org.
• Yuehao Bai & Shunzhuang Huang & Sarah Moon & Azeem Shaikh & Edward J. Vytlacil, 2024. "On the Identifying Power of Generalized Monotonicity for Average Treatment Effects," NBER Working Papers 32983, National Bureau of Economic Research, Inc.
• Silvana Tiedemann & Jorge Sanchez Canales & Felix Schur & Raffaele Sgarlato & Lion Hirth & Oliver Ruhnau & Jonas Peters, 2024. "Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs," Papers 2409.15530, arXiv.org.
• Liang Zhong, 2024. "Unconditional Randomization Tests for Interference," Papers 2409.09243, arXiv.org, revised Oct 2024.
• Vainora, J., 2024. "Latent Position-Based Modeling of Parameter Heterogeneity," Cambridge Working Papers in Economics 2455, Faculty of Economics, University of Cambridge.
• Thiago Trafane Oliveira Santos & Daniel Oliveira Cajueiro, 2024. "Why you should also use OLS estimation of tail exponents," Papers 2409.10448, arXiv.org, revised Sep 2024.
• Giuseppe Cavaliere & Iliyan Georgiev & Edoardo Zanelli, 2024. "Parameters on the boundary in predictive regression," Papers 2409.12611, arXiv.org.
• Endong Wang, 2024. "Structural counterfactual analysis in macroeconomics: theory and inference," Papers 2409.09577, arXiv.org.
• Bhuyan, Prajamitra & Jana, Kaushik & McCoy, Emma J., 2023. "Causal analysis at extreme quantiles with application to London traffic flow data," LSE Research Online Documents on Economics 121622, London School of Economics and Political Science, LSE Library.
• Tomás E. Caravello & Alisdair McKay & Christian K. Wolf, 2024. "Evaluating Policy Counterfactuals: A VAR-Plus Approach," NBER Working Papers 32988, National Bureau of Economic Research, Inc.
• Didier Sornette & Ran Wei, 2024. "Multiple Outlier Detection in Samples with Exponential & Pareto Tails," Swiss Finance Institute Research Paper Series 24-48, Swiss Finance Institute.
• Zhang, Pengcheng & Chen, Zezhun & Tzougas, George & Calderín–Ojeda, Enrique & Dassios, Angelos & Wu, Xueyuan, 2024. "Multivariate zero-inflated INAR(1) model with an application in automobile insurance," LSE Research Online Documents on Economics 124317, London School of Economics and Political Science, LSE Library.