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Predicting recessions with a frontier measure of output gap: an application to Italian economy
- Source :
- Empirical Economics, Vol. 60, p. 2701–2740 (2021)
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Despite the long and great history, developed institutions, and high level of physical and human capital, the Italian economy has been fairly stagnant during the last three decades. In this paper, we merge two streams of literature: nonparametric methods to estimate frontier efficiency of an economy, which allows us to develop a new measure of output gap, and nonparametric methods to estimate probability of an economic recession. To illustrate the new framework, we use quarterly data for Italy from 1995 to 2019 and find that our model, using either nonparametric or the linear probit model, is able to provide useful insights.
- Subjects :
- Statistics and Probability
Economics and Econometrics
Robust nonparametric frontier
Italian recession
media_common.quotation_subject
05 social sciences
Nonparametric statistics
Output gap
Human capital
Measure (mathematics)
Recession
Frontier
Mathematics (miscellaneous)
Economy
Probit model
0502 economics and business
Economics
050207 economics
Social Sciences (miscellaneous)
050205 econometrics
Merge (linguistics)
media_common
Forecasting
Generalized nonparametric quasi-likelihood method
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Empirical Economics, Vol. 60, p. 2701–2740 (2021)
- Accession number :
- edsair.doi.dedup.....7c5a2900329ea3f911c5576df53f9be6