Siem Jan Koopman

Siem Jan Koopman

Vrije Universiteit Amsterdam

H-index: 65

Europe-Netherlands

About Siem Jan Koopman

Siem Jan Koopman, With an exceptional h-index of 65 and a recent h-index of 43 (since 2020), a distinguished researcher at Vrije Universiteit Amsterdam, specializes in the field of Econometrics, Time Series, Financial Econometrics, Forecasting, Kalman filter.

His recent articles reflect a diverse array of research interests and contributions to the field:

Continuous-time state-space methods for delta-O-18 and delta-C-13

Ngai Hang Chan

A robust Beveridge–Nelson decomposition using a score-driven approach with an application

Observation-driven filtering of time-varying parameters using moment conditions

Maximum likelihood estimation for non-stationary location models with mixture of normal distributions

Estimating Breakpoints between Climate States in Paleoclimate Data

Extremum Monte Carlo filters: Real-time signal extraction via simulation and regression

Observation-Driven filters for Time-Series with Stochastic Trends and Mixed Causal Non-Causal Dynamics

Siem Jan Koopman Information

University

Position

Professor of Econometrics

Citations(all)

23490

Citations(since 2020)

7544

Cited By

19084

hIndex(all)

65

hIndex(since 2020)

43

i10Index(all)

163

i10Index(since 2020)

107

Email

University Profile Page

Vrije Universiteit Amsterdam

Google Scholar

View Google Scholar Profile

Siem Jan Koopman Skills & Research Interests

Econometrics

Time Series

Financial Econometrics

Forecasting

Kalman filter

Top articles of Siem Jan Koopman

Title

Journal

Author(s)

Publication Date

Continuous-time state-space methods for delta-O-18 and delta-C-13

arXiv preprint arXiv:2404.05401

Mikkel Bennedsen

Eric Hillebrand

Siem Jan Koopman

Kathrine By Larsen

2024/4/8

Ngai Hang Chan

Siem Jan Koopman

Massimiliano Marcellino

Hans-Jörg von Mettenheim

2024/3

A robust Beveridge–Nelson decomposition using a score-driven approach with an application

Economics Letters

Francisco Blasques

Janneke van Brummelen

Paolo Gorgi

Siem Jan Koopman

2024/2/6

Observation-driven filtering of time-varying parameters using moment conditions

Journal of Econometrics

Drew Creal

Siem Jan Koopman

André Lucas

Marcin Zamojski

2024/1/1

Maximum likelihood estimation for non-stationary location models with mixture of normal distributions

Journal of Econometrics

Francisco Blasques

Janneke van Brummelen

Paolo Gorgi

Siem Jan Koopman

2024/1/1

Estimating Breakpoints between Climate States in Paleoclimate Data

arXiv preprint arXiv:2404.08336

Mikkel Bennedsen

Eric Hillebrand

Siem Jan Koopman

Kathrine By Larsen

2024/4/12

Extremum Monte Carlo filters: Real-time signal extraction via simulation and regression

Available at SSRN 4317955

Francisco Blasques

Siem Jan Koopman

Karim Moussa

2023/3/23

Observation-Driven filters for Time-Series with Stochastic Trends and Mixed Causal Non-Causal Dynamics

Francisco Blasques

Siem Jan Koopman

Gabriele Mingoli

2023

Time-Varying Parameters in Econometrics: The editor’s foreword

Journal of Econometrics

F Blasques

AC Harvey

SJ Koopman

A Lucas

2023/12/1

Beta observation-driven models with exogenous regressors: A joint analysis of realized correlation and leverage effects

Journal of Econometrics

Paolo Gorgi

Siem Jan Koopman

2023/12/1

Estimation of final standings in football competitions with a premature ending: The case of COVID-19

AStA Advances in Statistical Analysis

Paolo Gorgi

Siem Jan Koopman

Rutger Lit

2023/3

A Multilevel Factor Model for Economic Activity with Observation Driven Dynamic Factors

Mariia Artemova

Francisco Blasques

Siem Jan Koopman

2023

A multivariate dynamic statistical model of the global carbon budget 1959–2020

Journal of the Royal Statistical Society Series A: Statistics in Society

Mikkel Bennedsen

Eric Hillebrand

Siem Jan Koopman

2023/1/12

A New Approach to the CO2 Airborne Fraction: Enhancing Statistical Precision and Tackling Zero Emissions

arXiv preprint arXiv:2311.01053

Mikkel Bennedsen

Eric Hillebrand

Siem Jan Koopman

2023/11/2

Does trade integration imply growth in Latin America? Evidence from a dynamic spatial spillover model

F Blasques

P Gorgi

Siem Jan Koopman

J Sampi

2023/2/17

VU Research Portal

Jef Vandenberghe

Youbin Sun

Xianyan Wang

Hemmo Abels

Xing Xing Liu

2018

Package ‘UComp’

Diego J Pedregal

Maintainer Diego J Pedregal

AC Harvey

DJ Pedregal

PC Young

...

2023/5/19

On the evidence of a trend in the CO2 airborne fraction

Nature

Mikkel Bennedsen

Eric Hillebrand

Siem Jan Koopman

2023/4/13

Asymmetric Stable Stochastic Volatility Models: Estimation, Filtering, and Forecasting

Francisco Blasques

Siem Jan Koopman

Karim Moussa

2023

Joint decomposition of business and financial cycles: Evidence from eight advanced economies

Oxford Bulletin of Economics and Statistics

Jasper de Winter

Siem Jan Koopman

Irma Hindrayanto

2022/2

See List of Professors in Siem Jan Koopman University(Vrije Universiteit Amsterdam)

Co-Authors

H-index: 70
Neil Shephard

Neil Shephard

Harvard University

H-index: 48
Andre Lucas

Andre Lucas

Vrije Universiteit Amsterdam

H-index: 36
John Aston

John Aston

University of Cambridge

H-index: 31
Eric Zivot

Eric Zivot

University of Washington

H-index: 30
Albert J. Menkveld

Albert J. Menkveld

Vrije Universiteit Amsterdam

H-index: 27
Marius Ooms

Marius Ooms

Vrije Universiteit Amsterdam

academic-engine