Decomposition of Labor Productivity Growth: A Multilateral Production Frontier Approach
AbstractThis paper develops a parametric decomposition framework of labor productivity growth relaxing the assumption of labor-specific efficiency. The decomposition analysis is applied to a sample of 52 developed and developing countries from 1965-90. A generalized Cobb-Douglas functional specification is used taking into account differences in technological structures across group of countries to approximate aggregate production technology using Jorgenson and Nishimizu (1978) bilateral model of production. Measurement of labor efficiency is based on KoppÃƒÂ¢Ã¯Â¿Â½Ã¯Â¿Â½s (1981) orthogonal non-radial index of factor-specific efficiency modified in a parametric frontier framework. The empirical results indicate that the weighted average annual rate of labor productivity growth was 1.43 per cent over the period analyzed. Technical change was found to be the driving force of labor productivity, while improvements in labor efficiency and human capital account approximately for the 22 per cent of that productivity growth.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University of Crete, Department of Economics in its series Working Papers with number 1009.
Date of creation: 01 Jul 2010
Date of revision:
labor efficiency and productivity growth; multilateral production frontier;
Find related papers by JEL classification:
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-10 (All new papers)
- NEP-EFF-2010-07-10 (Efficiency & Productivity)
- NEP-FDG-2010-07-10 (Financial Development & Growth)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kostis Pigounakis).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.