|
EconStor >
ifo Institut – Leibniz-Institut für Wirtschaftsforschung an der Universität München >
CESifo Working Papers, CESifo Group Munich >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10419/18921
|
| | |
| Title: | | Nonparametric regression and the detection of turning points in the Ifo business climate  |
| Authors: | | Abberger, Klaus |
| Issue Date: | | 2004 |
| Series/Report no.: | | CESifo working papers 1283 |
| Abstract: | | Business climate indicators are used to receive early signals for turning points in the general business cycle. Therefore methods for the detection of turning points in time series are required. Estimations of slopes of a smooth component in the data can be calculated with local polynomial regression. A change in the sign of the slope can be interpreted as a turning point. A plug-in method is used for data-based bandwidth choice. Since in practice the identification of turning points at the actual boundary of the time series is of special interest, this situation is discussed in more detail. The nonparametric approach is applied to the Ifo Business Climate to demonstrate the application of the nonparametric approach and to analyze the time lead of the indicator. |
| Subjects: | | Nonparametric regression slope estimation turning points business climate indicators |
| JEL: | | C14 C42 C22 |
| Document Type: | | Working Paper |
| Appears in Collections: | | CESifo Working Papers, CESifo Group Munich
|
| |
| | |
Download bibliographical data as:
BibTeX
|
| |
Share on:http://hdl.handle.net/10419/18921
|
Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.
|