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Michael Vogt

Biographic Data

ID6415155
NAMEMichael Vogt
GIVEN NAMESMichael
FAMILY NAMEVogt
SIGNATUREVOGT M
AFFILIATIONSUniversität Ulm
ORCID0000-0003-2074-1933
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1989
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Multiscale Comparison of Nonparametric Trend Curves

    Marina Khismatullina, Michael Vogt•ARTICLE•Journal of Business and Economic…•2026

    We develop new econometric methods for the comparison of nonparametric time trends. In many applications, practitioners are interested in examining the trending behaviour of multiple time series. Among other things, they would like to know which time series have different trends and in which time intervals the differences occur. We design a multiscale test to formally approach these questions. Specifically, we develop a test which allows to make …

  • Locally Stationary Multiplicative Volatility Modeling

    Christopher Walsh, Michael Vogt•ARTICLE•Journal of Business and Economic…•2023

    In this article, we study a semiparametric multiplicative volatility model, which splits up into a nonparametric part and a parametric GARCH component. The nonparametric part is modeled as a product of a deterministic time trend component and of further components that depend on stochastic regressors. We propose a two-step procedure to estimate the model. To estimate the nonparametric components, we transform the model and apply a backfitting pro…

  • Taphonomy and paleoecological context of the Upper Laetolil Beds (Localities 8 and 9), Laetoli in northern Tanzania

    Charles M Musiba, C Musiba et al.•CHAPTER•Hominin Environments in the East…•2007

  • Vormarz und Klassik

    George F Peters, Lothar Ehrlich et al.•ARTICLE•The German Quarterly•2000

    Ehrlich, Lothar, Hartmut Steinecke, and Michael Vogt, eds. Vormarz and Klassik. Vormarz-Studien 1. Bielefeld: Aisthesis, 1999. 300 pp. DM 48.00. The first in a new series dedicated to a reevaluation of the volatile Vormarz period, this volume contains seventeen essays resulting from papers delivered at a 1996 symposium sponsored by the Forum Vormarz Forschung and the Stiftung Weimarer Klassik. The editors identify four conference sections, Ende d…

  • Grabbe und die Dramatiker seiner Zeit

    Gustav Beckers, Detlev Kopp et al.•ARTICLE•South Atlantic Review•1993

  • Christian Dietrich Grabbe(1801-1836)

    Gustav Beckers, Werner Broer et al.•ARTICLE•South Atlantic Review•1989

No prominent works on this page.

  • Christian Dietrich Grabbe(1801-1836)

    Gustav Beckers, Werner Broer et al.•ARTICLE•South Atlantic Review•1989

  • Grabbe und die Dramatiker seiner Zeit

    Gustav Beckers, Detlev Kopp et al.•ARTICLE•South Atlantic Review•1993

  • Vormarz und Klassik

    George F Peters, Lothar Ehrlich et al.•ARTICLE•The German Quarterly•2000

    Ehrlich, Lothar, Hartmut Steinecke, and Michael Vogt, eds. Vormarz and Klassik. Vormarz-Studien 1. Bielefeld: Aisthesis, 1999. 300 pp. DM 48.00. The first in a new series dedicated to a reevaluation of the volatile Vormarz period, this volume contains seventeen essays resulting from papers delivered at a 1996 symposium sponsored by the Forum Vormarz Forschung and the Stiftung Weimarer Klassik. The editors identify four conference sections, Ende d…

  • Taphonomy and paleoecological context of the Upper Laetolil Beds (Localities 8 and 9), Laetoli in northern Tanzania

    Charles M Musiba, C Musiba et al.•CHAPTER•Hominin Environments in the East…•2007

  • Locally Stationary Multiplicative Volatility Modeling

    Christopher Walsh, Michael Vogt•ARTICLE•Journal of Business and Economic…•2023

    In this article, we study a semiparametric multiplicative volatility model, which splits up into a nonparametric part and a parametric GARCH component. The nonparametric part is modeled as a product of a deterministic time trend component and of further components that depend on stochastic regressors. We propose a two-step procedure to estimate the model. To estimate the nonparametric components, we transform the model and apply a backfitting pro…

  • Multiscale Comparison of Nonparametric Trend Curves

    Marina Khismatullina, Michael Vogt•ARTICLE•Journal of Business and Economic…•2026

    We develop new econometric methods for the comparison of nonparametric time trends. In many applications, practitioners are interested in examining the trending behaviour of multiple time series. Among other things, they would like to know which time series have different trends and in which time intervals the differences occur. We design a multiscale test to formally approach these questions. Specifically, we develop a test which allows to make …

Art (3 works) · German Literature and Culture Studies (3 works) · Philosophy (3 works) · Econometrics (2 works) · Mathematics (2 works) · Nonparametric statistics (2 works) · Statistics (2 works) · Applied Mathematics (1 work) · Asymptotic distribution (1 work) · Autoregressive conditional heteroskedasticity (1 work)

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