Juho Koistinen is a doctoral researcher in economics at the University of Helsinki. He has research interests in empirical macroeconomics, time series econometrics and monetary policy questions. His current research focuses on the identification of forward guidance shocks using non-invertible structural VARMA models.
Ph.D. in Economics, 2023 (Expected)
University of Helsinki
M.Sc. in Econometrics and Operations Research, 2017
Vrije Universiteit, Amsterdam
M.Soc.Sc. in Philosophy, 2016
University of Turku
We propose a new parametrization for the estimation and identification of the impulse-response functions (IRFs) of dynamic factor models (DFMs). The theoretical contribution of this paper concerns the problem of observational equivalence between different IRFs, which implies non-identification of the IRF parameters without further restrictions. We show how the previously proposed minimal identification conditions are nested in the new framework and can be further augmented with overidentifying restrictions leading to efficiency gains. The current standard practice for the IRF estimation of DFMs is based on principal components, compared to which the new parametrization is less restrictive and allows for modelling richer dynamics. As the empirical contribution of the paper, we develop an estimation method based on the EM algorithm, which incorporates the proposed identification restrictions. In the empirical application, we use a standard high-dimensional macroeconomic dataset to estimate the effects of a monetary policy shock. We estimate a strong reaction of the macroeconomic variables, while the benchmark models appear to give qualitatively counterintuitive results. The estimation methods are implemented in the accompanying R package.
In the summer of 2018, the House of Representatives of the Netherlands supported the legislative proposal for a Climate Act. The Climate Act stipulates that in 2050, greenhouse gas emissions must have been reduced by 95% relative to their 1990 level. To achieve this objective, the government is aiming to reduce emissions by 49% in 2030. This requires ambitious climate policies, which also include the option of introducing a direct tax on carbon emissions. An efficient way of reducing harmful emissions is to assign a price to the external effects of emissions. Data evidences that compared with other countries, Dutch enterprises emit large quantities of greenhouse gases and are paying relatively little for these emissions. The most straightforward approach would be to introduce a European carbon tax, after the example of the European Emissions Trading System (ETS). The option of introducing a national policy, with the Netherlands leading the field in terms of imposing a direct carbon tax on corporations, requires more insight into its impact on production costs, international price competitiveness and sales. This study addresses this, distinguishing between the various industry sectors within the Dutch economy.
TA, in-person: Fall 2019
TA, online: Fall 2020 and 2021
TA, in-person: Fall 2019