A framework for spatiotemporal prediction with small and heterogeneous data - and an application to consumer price indexes -

Heinze C (2016)
Bielefeld: Universität Bielefeld.

Download
OA
Bielefeld Dissertation | English
Abstract
This text considers the prediction of consumer price indexes which allow to compare the consumer price level across time and space. For specificity, the discussion is in terms of German counties and the years 1993–2014, but all methods apply more generally. The first part of this text outlines the application, and the second part presents some corresponding theory for estimation and prediction.
Year
PUB-ID

Cite this

Heinze C. A framework for spatiotemporal prediction with small and heterogeneous data - and an application to consumer price indexes -. Bielefeld: Universität Bielefeld; 2016.
Heinze, C. (2016). A framework for spatiotemporal prediction with small and heterogeneous data - and an application to consumer price indexes -. Bielefeld: Universität Bielefeld.
Heinze, C. (2016). A framework for spatiotemporal prediction with small and heterogeneous data - and an application to consumer price indexes -. Bielefeld: Universität Bielefeld.
Heinze, C., 2016. A framework for spatiotemporal prediction with small and heterogeneous data - and an application to consumer price indexes -, Bielefeld: Universität Bielefeld.
C. Heinze, A framework for spatiotemporal prediction with small and heterogeneous data - and an application to consumer price indexes -, Bielefeld: Universität Bielefeld, 2016.
Heinze, C.: A framework for spatiotemporal prediction with small and heterogeneous data - and an application to consumer price indexes -. Universität Bielefeld, Bielefeld (2016).
Heinze, Christian. A framework for spatiotemporal prediction with small and heterogeneous data - and an application to consumer price indexes -. Bielefeld: Universität Bielefeld, 2016.
All files available under the following license(s):
Copyright Statement:
This Item is protected by copyright and/or related rights. [...]
Main File(s)
Access Level
OA Open Access
Last Uploaded
2016-11-17T14:14:23Z
MD5 Checksum
aa896e748c04054aaae95604fec01e51

This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Search this title in

Google Scholar