| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5083716 | International Review of Economics & Finance | 2013 | 11 Pages |
Abstract
⺠We propose a new method to identify normal states and booms on the credit market. ⺠Threshold regression models for dynamic panel data are estimated using a novel method. ⺠The presence of multiple states of the credit market is tested. ⺠Three-regime models outperform one and two-regime regressions. ⺠We identify the states most likely resembling periods of a credit boom.
Related Topics
Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
DobromiÅ Serwa,