Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Pönkä, Harri"'
Autor:
Pönkä, Harri, Zheng, Yi
Publikováno v:
In Research in International Business and Finance December 2019 50:70-78
In this paper we analyze features of the recent business cycle with a New Keynesian small open economy DSGE model with labour market frictions and wage rigidity. The model complements the existing analytical tools of the Bank of Finland by enabling d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::1dda85d913cfd30e506dd860fa942d8e
https://hdl.handle.net/10419/271184
https://hdl.handle.net/10419/271184
Autor:
Pönkä, Harri1 harri.ponka@bof.fi, Stenborg, Markku2 markku.stenborg@vm.fi
Publikováno v:
Finnish Economic Papers. 2020, Vol. 29 Issue 1, p1-19. 19p.
Autor:
Pönkä, Harri, Sariola, Mikko
The output gap is a commonly used tool to assess the state of the business cycle, and as such, a key input for policy makers. In this article, we employ principal components analysis (PCA) to derive an estimate of the output gap in Finland that summa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::c9e64609dd80c9a1b196a197c18597a8
https://hdl.handle.net/10419/243288
https://hdl.handle.net/10419/243288
Autor:
Pönkä, Harri1 harri.ponka@helsinki.fi
Publikováno v:
Empirical Economics. Jun2017, Vol. 52 Issue 4, p1451-1480. 30p. 9 Charts.
Autor:
Juvonen, Olli-Petteri, Anttonen, Jetro Johannes, Fornaro, Paolo, Nissilä, Wilma, Nyberg, Henri, Pönkä, Harri
Viimeisten vuosikymmenien aikana kansainvälisessä ekonometrisessa tutkimuskirjallisuudessa on esitetty useita makrotaloudellista tilaa kuvaavien muuttujien informaatiota yhdistäviä lyhyen aikavälin mallinnus- ja ennustemenetelmiä. Näitä ns. n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b47df488e6f9e989b8952b83cbd0a8af
http://urn.fi/URN:NBN:fi:jyu-201910184521
http://urn.fi/URN:NBN:fi:jyu-201910184521
Autor:
Pönkä, Harri
This thesis is a collection of four self-contained essays that discuss time series applications of binary response models. Although popular in microeconometric applications using cross-sectional data, this class of models is not among the most common
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1593::6d0bc2980b8424ca7ff7817be59d311f
http://hdl.handle.net/10138/165043
http://hdl.handle.net/10138/165043