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VC - A Method for Estimating Time-Varying Coefficients in Linear Models

Schlicht, Ekkehart - 2020

. A penalized least squares estimation is linked to the GLS (Aitken) estimates of the corresponding linear model with time …

Persistent link: https://www.econbiz.de/10012843151

Modelling Volatilities and Conditional Correlations in Futures Markets with a Multivariate T Distribution

Pesaran, Bahram; Pesaran, M. Hashem - 2021

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by … than by GARCH type volatility estimates. The t-DCC estimation procedure is applied to a portfolio of daily returns on …-DCC specification. The t-DCC model also passes a number of VaR diagnostic tests over an evaluation sample. The estimation results …

Persistent link: https://www.econbiz.de/10013316934

Exponent of Cross-Sectional Dependence : Estimation and Inference

Bailey, Natalia - 2012

An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...

Persistent link: https://www.econbiz.de/10013110862

Regression Discontinuity Design with Continuous Measurement Error in the Running Variable

Davezies, Laurent - 2017

Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming non-differential measurement error, we propose a consistent...

Persistent link: https://www.econbiz.de/10012955015

Causal Effects of Monetary Shocks : Semiparametric Conditional Independence Tests with a Multinomial Propensity Score

Angrist, Joshua D.; Kuersteiner, Guido M. - 2021

dependent data and allowing for first-step estimation of the propensity score …

Persistent link: https://www.econbiz.de/10013325071

Identification of the Covariance Structure of Earnings Using the GMM Estimator

Doris, Aedin - 2010

In this paper we study the performance of the GMM estimator in the context of the covariance structure of earnings. Using analytical and Monte Carlo techniques we examine the sensitivity of parameter identification to key features such as panel length, sample size, the degree of persistence of...

Persistent link: https://www.econbiz.de/10013141764

Testing the Correlated Random Coefficient Model

Heckman, James J. - 2009

The recent literature on instrumental variables (IV) features models in which agents sort into treatment status on the basis of gains from treatment as well as on baseline-pretreatment levels. Components of the gains known to the agents and acted on by them may not be known by the observing...

Persistent link: https://www.econbiz.de/10013154992