Bank of Finland Research Discussion Papers (1989- )

 

Keskustelualoitesarjassa julkaistaan akateemisia tutkimuksia teemoista, jotka ovat keskeisiä Suomen Pankin strategisten tavoitteiden kannalta ja vastaavat painopistealuetta makrotalouden ja rahoitusmarkkinoiden vuorovaikutus ja vakaus. Tekijät ovat tutkimusyksikön tai muiden yksikköjen ekonomisteja tai vierailevia tutkijoita. Keskustelualoitteet ilmestyvät nykyään englanniksi. Vuosien 1989-1994 kaikkia keskustelualoitteita ei ole saatavilla elektronisina.

Uusimmat julkaisut

  • Benchimol, Jonathan; Bounader, Lahcen (2018)
    Bank of Finland Research Discussion Papers 9/2018
    Optimal monetary policy under discretion, commitment, and optimal simple rules regimes is analyzed through a behavioral New Keynesian model. Flexible price level targeting dominates under discretion; flexible inflation targeting dominates under commitment; and strict price level targeting dominates when using optimal simple rules. The optimality of a particular regime is found to be independent of bounded rationality and only regime 's stabilizing properties condition its hierarchy. For every targeting regime, the policymaker 's knowledge of agents' myopia is decisive in terms of policy reactions. Welfare evaluation of different targeting regimes reveals that bounded rationality is not necessarily associated with decreased welfare. Several forms of economic inattention can increase welfare.
  • Juselius, Mikael; Takáts, Előd (2018)
    Bank of Finland Research Discussion Papers 8/2018
    Demographic shifts, such as population ageing, have been suggested as possible explanations for the recent decade-long spell of low inflation. We identify age structure effects on inflation from cross-country variation in a panel of 22 countries from 1870 to 2016 that includes standard monetary factors. We document a robust relationship that is in line with the lifecycle hypothesis: a larger share of dependent population is inflationary, whereas a larger share of working age population is disinflationary. This relationship accounts for the bulk of trend inflation, for instance, about 7 percentage points of US disinflation since the 1980s. It predicts rising inflation over the coming decades.
  • Faria, Gonçalo; Verona, Fabio (2018)
    Bank of Finland Research Discussion Papers 7/2018
    We extract cycles in the term spread (TMS) and study their role for predicting the equity risk premium (ERP) using linear models. The low frequency component of the TMS is a strong and robust out-of-sample ERP predictor. It obtains out-of-sample R-squares (versus the historical mean benchmark) of 1.98% and 22.1% for monthly and annual data, respectively. It forecasts well also during expansions and outperforms several variables that have been proposed as good ERP predictors. Its predictability power comes exclusively from the discount rate channel. Contrarily, the high and business-cycle frequency components of the TMS are poor out-of-sample ERP predictors.
  • Ascari, Guido; Florio, Anna; Gobbi, Alessandro (2018)
    Bank of Finland Research Discussion Papers 6/2018
    According to the long-run Taylor principle (Davig and Leeper, 2007), a central bank can deviate to a passive monetary policy and still obtain equilibrium uniqueness if a sufficiently aggressive monetary policy is expected for the future. Does this principle hold true when both monetary and fiscal policies can switch between active and passive and there is positive trend inflation? We find that passive monetary detours are no longer possible when trend inflation is high, whatever fiscal policy is in place. This has important policy implications in terms of flexibility and monetary-fiscal authorities coordination.
  • Honkapohja, Seppo; Kaushik, Mitra (2018)
    Bank of Finland Research Discussion Papers 5/2018
    We examine global dynamics under learning in a nonlinear New Keynesian model when monetary policy uses price-level targeting and compare it to inflation targeting. Domain of attraction of the targeted steady state gives a robustness criterion for policy regimes. Robustness of price-level targeting depends on whether a known target path is incorporated into learning. Credibility is measured by accuracy of this forecasting method relative to simple statistical forecasts. Credibility evolves through reinforcement learning. Initial credibility and initial level of target price are key factors influencing performance. Results match the Swedish experience of price level stabilization in 1920's and 30s.