tailieunhanh - NOTES ON THE ROLE OF EDUCATION IN PRODUCTION FUNCTIONS AND GROWTH ACCOUNTING

Socio-Ecological Landscape Units (SELU) are produced in turn from LCFU and other geographical dimensions such as relief, belonging to a river basin, or proximity to the sea. LCFU are agglomerated with a methodology which maps dominant land‑cover types. Large forests or agricultural areas will constitute a SELU in their own right while smaller units will be part of a larger zone characterised by its dominant land cover. The Dominant Land Cover Types are then classified according to river basins and relief classes (. coastal, lowland, highland, mountain). The final intersection gives the map of terrestrial SELU. Rivers are processed separately for accounting purposes. Rivers are land-cover units of a particular type where the dynamics of. | This PDF is a selection from an out-of-print volume from the National Bureau of Economic Research Volume Title Education Income and Human Capital Volume Author Editor W. Lee Hansen ed. Volume Publisher UMI Volume ISBN 0-870-14218-6 Volume URL http books hans70-1 Publication Date 1970 Chapter Title NOTES ON THE ROLE OF EDUCATION IN PRODUCTION FUNCTIONS AND GROWTH ACCOUNTING Chapter Author Zvi Griliches Chapter URL http chapters c3277 Chapter pages in book p. 71 - 128 NOTES ON THE ROLE OF EDUCATION IN PRODUCTION FUNCTIONS AND GROWTH ACCOUNTING ZVI GRILICHES HARVARD UNIVERSITY I INTRODUCTION THIS paper started out as a survey of the uses of education variables . in aggregate production functions and of the problems associated with I the measurement of such variables and with the specification and estimation of models that use them. It soon became clear that some of the issues to be investigated . the relative contributions of ability and schooling to a labor quality index were very complex and possessed a literature of such magnitude that any quick survey of it would be both superficial and inadvisable. This paper therefore is in the form of a progress report on this survey containing also a list of questions which this literature and future work may help eventually to elucidate. Not all of the interesting questions will be asked however nor all of the possible problems raised. I have limited myself to those areas which seem to require the most immediate attention as we proceed beyond the work already accomplished. As it currently stands this paper first recapitulates and brings up to . date the construction of a quality of labor index based on the changing distribution of the u. s. labor force by years of school completed. It then Note The work on this paper has been supported by National Science Foundation Grants Nos. GS 712 and GS 2026X. I am indebted to c. A. Anderson Mary Jean Bowman E. F. Denison R. J. Gordon and T. w. Schultz for .