The Empirics of Economic Growth in Previously Centrally Planned Economies

Edward Leamer and Mark Taylor

No 976, CEPR Discussion Papers from Centre for Economic Policy Research

Abstract: We develop a novel Bayesian pooling technique to estimate aggregate production functions for the previously centrally planned economies (PCPEs) of Eastern Europe and for Western economies, as well as for a group of developing countries. This technique adjusts for the low quality of the PCPE data and also possible differences between PCPE and Western and developing-country technologies. We then apply our estimates to study various privatization scenarios concerning the adoption of Western technology. If the transferability of assets to the new technology is low and Western capital is unavailable, it can be better not to privatize at all, than to have full (big-bang) privatization. Large-scale privatization is also less desirable if Western capital is available for new projects. Thus, it may in some instances be desirable to use Western support to slow the rate of privatization, rather than hasten it.

Keywords: Bayesian Econometrics; Big Bang; Gradualism; Previously Centrally Planned Economies; Privatization; Solow Growth Model (search for similar items in EconPapers)
JEL-codes: C11 C31 O47 O57 (search for similar items in EconPapers)
Date: 1994-06
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.cepr.org/active/publications/discussion_papers/dp.php?dpno=976 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:976

Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... pers/dp.php?dpno=976

Access Statistics for this paper

More papers in CEPR Discussion Papers from Centre for Economic Policy Research 33 Great Sutton Street, London EC1V 0DX, UK.
Bibliographic data for series maintained by CEPR ().