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Forecasting State Variables from National Econometric Models
Author(s) -
GREEN GEORGE R.
Publication year - 1972
Publication title -
growth and change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 55
eISSN - 1468-2257
pISSN - 0017-4815
DOI - 10.1111/j.1468-2257.1972.tb00592.x
Subject(s) - econometric model , econometrics , state (computer science) , economics , tern , econometric analysis , operations research , computer science , engineering , algorithm , fishery , biology
As the science of econometrics becomes more sophisticated, its practice also becomes more expensive, and attention needs increasingly to be directed to the exploration of possible shortcuts and cost‐sharing arrangements. The Executive Director, Short‐Tern Forecasting, Wharton Econometric Forecasting Associates, believes that one answer lies in exploiting the decreasing cost characteristics of the econometric forecasting industry. In this paper, he demonstrates how a model designed for national forecasting can be put to state and regional uses.