Research output per year
Research output per year
Personal profile
Fields of Science
- 511 Economics
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Gaussian smooth transition vector autoregressive model: An application to the macroeconomic effects of severe weather shocks
Lanne, M. & Virolainen, S., 2024, Cornell University.Research output: Working paper › Scientific
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A Statistically Identified Structural Vector Autoregression with Endogenously Switching Volatility Regime
Virolainen, S., 25 Mar 2024, In: Journal of Business and Economic Statistics. 11 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Identification by non-Gaussianity in structural threshold and smooth transition vector autoregressive models
Virolainen, S., 30 Apr 2024, Rochester, NY: SSRN - Elsevier, 56 p.Research output: Working paper › Scientific
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A mixture autoregressive model based on Gaussian and Student’s t-distributions
Virolainen, S., 2022, In: Studies in Nonlinear Dynamics and Econometrics (Online). 26, 4, p. 559-580 22 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Essays on mixture autoregressive models with applications to macroeconomics and finance
Virolainen, S., 2022, Helsinki: Helsingin yliopisto.Research output: Thesis › Doctoral Thesis › Collection of Articles
Open Access
Projects
- 1 Active
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Ei-normaalisten aikasarjojen rakenteellinen analyysi: sovelluksia ilmastoon ja makrotalouteen
Lanne, M. (Project manager), Bose, T. (Participant), Katsouris, C. (Participant), Liu, K. (Participant) & Virolainen, S. (Participant)
01/09/2022 → 31/08/2026
Project: Research Council of Finland: Academy Project
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12th Meeting of the Nordic Econometric Network
Virolainen, S. (Attendee)
2 Jun 2024 → 4 Jun 2024Activity: Participating in or organising an event types › Organisation and participation in conferences, workshops, courses, seminars
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sstvars: R software package for reduced form and structural smooth transition (and threshold) vector autoregressive models
Virolainen, S. (Participant)
29 May 2024Activity: Other activity types › Other
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gmvarkit: R software package for Gaussian and Student's t mixture vector autoregressive models
Virolainen, S. (Participant)
2018 → …Activity: Other activity types › Other
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uGMAR: R package for Gaussian and Student's t mixture autoregressive models
Virolainen, S. (Participant)
2018 → …Activity: Other activity types › Other