Awkward problems of large-scale econometric models as regional forecasting tools: a comparison with statistical time-series models
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Mass.
Harvard Univ.
1980
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| Schriftenreihe: | Discussion paper / Department of City and Regional planning, Harvard University
80,4 |
| Schlagworte: | |
| Beschreibung: | 19 S. |
Internformat
MARC
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Datensatz im Suchindex
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| id | DE-604.BV022107512 |
| illustrated | Not Illustrated |
| index_date | 2024-07-02T16:15:36Z |
| indexdate | 2024-07-09T20:50:44Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015322389 |
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| physical | 19 S. |
| publishDate | 1980 |
| publishDateSearch | 1980 |
| publishDateSort | 1980 |
| publisher | Harvard Univ. |
| record_format | marc |
| series2 | Discussion paper / Department of City and Regional planning, Harvard University |
| spelling | Clark, Gordon L. 1950- Verfasser (DE-588)124817238 aut Awkward problems of large-scale econometric models as regional forecasting tools a comparison with statistical time-series models Cambridge, Mass. Harvard Univ. 1980 19 S. txt rdacontent n rdamedia nc rdacarrier Discussion paper / Department of City and Regional planning, Harvard University 80,4 Mathematisches Modell Econometrics Mathematical models Forecasting Mathematical models Regional planning Mathematical models Regionalplanung (DE-588)4049040-3 gnd rswk-swf Prognosemodell (DE-588)4125215-9 gnd rswk-swf Regionalplanung (DE-588)4049040-3 s DE-604 Prognosemodell (DE-588)4125215-9 s Department of City and Regional planning, Harvard University Discussion paper 80,4 (DE-604)BV021863803 80,4 |
| spellingShingle | Clark, Gordon L. 1950- Awkward problems of large-scale econometric models as regional forecasting tools a comparison with statistical time-series models Mathematisches Modell Econometrics Mathematical models Forecasting Mathematical models Regional planning Mathematical models Regionalplanung (DE-588)4049040-3 gnd Prognosemodell (DE-588)4125215-9 gnd |
| subject_GND | (DE-588)4049040-3 (DE-588)4125215-9 |
| title | Awkward problems of large-scale econometric models as regional forecasting tools a comparison with statistical time-series models |
| title_auth | Awkward problems of large-scale econometric models as regional forecasting tools a comparison with statistical time-series models |
| title_exact_search | Awkward problems of large-scale econometric models as regional forecasting tools a comparison with statistical time-series models |
| title_exact_search_txtP | Awkward problems of large-scale econometric models as regional forecasting tools a comparison with statistical time-series models |
| title_full | Awkward problems of large-scale econometric models as regional forecasting tools a comparison with statistical time-series models |
| title_fullStr | Awkward problems of large-scale econometric models as regional forecasting tools a comparison with statistical time-series models |
| title_full_unstemmed | Awkward problems of large-scale econometric models as regional forecasting tools a comparison with statistical time-series models |
| title_short | Awkward problems of large-scale econometric models as regional forecasting tools |
| title_sort | awkward problems of large scale econometric models as regional forecasting tools a comparison with statistical time series models |
| title_sub | a comparison with statistical time-series models |
| topic | Mathematisches Modell Econometrics Mathematical models Forecasting Mathematical models Regional planning Mathematical models Regionalplanung (DE-588)4049040-3 gnd Prognosemodell (DE-588)4125215-9 gnd |
| topic_facet | Mathematisches Modell Econometrics Mathematical models Forecasting Mathematical models Regional planning Mathematical models Regionalplanung Prognosemodell |
| volume_link | (DE-604)BV021863803 |
| work_keys_str_mv | AT clarkgordonl awkwardproblemsoflargescaleeconometricmodelsasregionalforecastingtoolsacomparisonwithstatisticaltimeseriesmodels |