Premium
Time‐series analysis, forecasting and econometric modelling: The structural econometric modelling, time‐series analysis (SEMTSA) approach
Author(s) -
Zellner Arnold
Publication year - 1994
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.3980130212
Subject(s) - econometrics , econometric model , series (stratigraphy) , econometric analysis , time series , economics , point (geometry) , computer science , statistics , mathematics , paleontology , geometry , biology
In this paper an account of our experiences in modelling and forecasting the annual output growth rates of 18 industrialized countries is presented. A structural econometric modelling, rime‐series a nalysis (SEMTSA) approach is described and contrasted with other approaches. Theoretical and applied results relating to variable and model selection and point and turning‐point forecasting are discussed. A summary of results and directions for future research concludes the paper.