Models Containing Unobservable Variables and Traditional Regression Analysis

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2547 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2547 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2547 archive 351 disk0/00/00/25/02 2016-01-15 01:55:01 2021-08-27 17:12:02 2016-01-15 01:55:01 monograph show 2 Fedorov V. AL0636 Models Containing Unobservable Variables and Traditional Regression Analysis pub iis_mod prog_fsp The objective of the Forest Sector Project at IIASA is to study long-term development alternatives for the forest sector on a global basis. One of the key problems of analysing long-term development is to predict the changing patterns of demand, supply capacity and international trade. In the modeling of these structural change processes econometric estimation plays a central role. In this paper Professor Fedorov draws attention to the fact that some of the results from econometric analysis of estimation in situations with unobservable variables can be readdressed within the framework of traditional regression analysis. These observations are of importance in the choice of methods to be used in estimating demand, supply or import equations. 1984-03 published WP-84-016 WP-84-016 1870 public working_paper IIASA, Laxenburg, Austria 19 FALSE info:eu-repo/semantics/book