Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Heikki Kauppi

Biographic Data

ID8880265
NAMEHeikki Kauppi
GIVEN NAMESHeikki
FAMILY NAMEKauppi
SIGNATUREKAUPPI H
AFFILIATIONSUniversity of Turku
ORCID0000-0002-4115-102X
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2008
H-INDEX0
  • Predicting U.S. Recessions with Dynamic Binary Response Models

    Heikki Kauppi, Pentti Saikkonen•ARTICLE•The Review of Economics and…•2008

    We develop dynamic binary probit models and apply them for predicting U.S. recessions using the interest rate spread as the driving predictor. The new models use lags of the binary response (a recession dummy) to forecast its future values and allow for the potential forecast power of lags of the underlying conditional probability. We show how multiperiod-ahead forecasts are computed iteratively using the same one-period-ahead model. Iterated for…

No prominent works on this page.

  • Predicting U.S. Recessions with Dynamic Binary Response Models

    Heikki Kauppi, Pentti Saikkonen•ARTICLE•The Review of Economics and…•2008

    We develop dynamic binary probit models and apply them for predicting U.S. recessions using the interest rate spread as the driving predictor. The new models use lags of the binary response (a recession dummy) to forecast its future values and allow for the potential forecast power of lags of the underlying conditional probability. We show how multiperiod-ahead forecasts are computed iteratively using the same one-period-ahead model. Iterated for…

Binary number (1 work) · Computer Science (1 work) · Consensus forecast (1 work) · Econometrics (1 work) · Economics (1 work) · Financial Risk and Volatility Modeling (1 work) · Global Financial Crisis and Policies (1 work) · Iterated function (1 work) · Keynesian economics (1 work) · Mathematics (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae