Report NEP-ECM-2019-07-15

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:

• Lechner, Michael & Okasa, Gabriel, 2019. "Random Forest Estimation of the Ordered Choice Model," Economics Working Paper Series 1908, University of St. Gallen, School of Economics and Political Science.
• Jochmans, K., 2019. "Heteroskedasticity-Robust Inference in Linear Regression Models," Cambridge Working Papers in Economics 1957, Faculty of Economics, University of Cambridge.
• Lourenço S. Paz & James E. West, 2019. "Should We Trust Clustered Standard Errors? A Comparison with Randomization-Based Methods," NBER Working Papers 25926, National Bureau of Economic Research, Inc.
• Matthew Backus & Sida Peng, 2019. "On Testing Continuity and the Detection of Failures," NBER Working Papers 26016, National Bureau of Economic Research, Inc.
• Marco Bee & Julien Hambuckers & Luca Trapin, 2019. "An improved approach for estimating large losses in insurance analytics and operational risk using the g-and-h distribution," DEM Working Papers 2019/11, Department of Economics and Management.
• Chao Wang & Richard Gerlach, 2019. "Semi-parametric Realized Nonlinear Conditional Autoregressive Expectile and Expected Shortfall," Papers 1906.09961, arXiv.org.
• Sebastian Ankargren & Paulina Jon'eus, 2019. "Simulation smoothing for nowcasting with large mixed-frequency VARs," Papers 1907.01075, arXiv.org.
• Jochmans, K., 2019. "Modified-Likelihood Estimation of Fixed-Effect Models for Dyadic Data," Cambridge Working Papers in Economics 1958, Faculty of Economics, University of Cambridge.
• Fabrizio Cipollini & Giampiero M. Gallo & Alessandro Palandri, 2019. "Realized variance modeling: decoupling forecasting from estimation," Econometrics Working Papers Archive 2019_05, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• John Mullahy, 2019. "Identification of a Class of Health-Outcome Distributions under a Common Form of Partial Data Observability," NBER Working Papers 26011, National Bureau of Economic Research, Inc.
• Huiling Yuan & Yong Zhou & Zhiyuan Zhang & Xiangyu Cui, 2019. "Forecasting security's volatility using low-frequency historical data, high-frequency historical data and option-implied volatility," Papers 1907.02666, arXiv.org.
• Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
• Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
• Patacchini, Eleonora & Rainone, Edoardo, 2019. "Treatment Effects with Heterogeneous Externalities," CEPR Discussion Papers 13781, C.E.P.R. Discussion Papers.
• Fabrizio Cipollini & Giampiero M. Gallo & Edoardo Otranto, 2019. "Realized Volatility Forecasting: Robustness to Measurement Errors," Econometrics Working Papers Archive 2019_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
• Arpita Chatterjee & James Morley & Aarti Singh, 2019. "Full Information Estimation of Household Income Risk and Consumption Insurance," Discussion Papers 2019-07, School of Economics, The University of New South Wales.
• Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2019. "Empirical Process Results for Exchangeable Arrays," Papers 1906.11293, arXiv.org, revised May 2020.
• Nick Whiteley, 2019. "Dynamic time series clustering via volatility change-points," Papers 1906.10372, arXiv.org.
• Shovan Chowdhury, 2019. "Selection between Exponential and Lindley distributions," Working papers 316, Indian Institute of Management Kozhikode.
• LeRoy, Stephen F., 2019. "Causal Inference," University of California at Santa Barbara, Economics Working Paper Series qt6pc1x9r6, Department of Economics, UC Santa Barbara.