|
|
|
|
| LEADER |
01735cas a2200253 a 4500 |
| 001 |
AALejournalIMF007622 |
| 008 |
230101c9999 xx r poo 0 0eng d |
| 020 |
|
|
|c 5.00 USD
|
| 020 |
|
|
|z 9781451852493
|
| 022 |
|
|
|a 1018-5941
|
| 040 |
|
|
|a BD-DhAAL
|c BD-DhAAL
|
| 100 |
1 |
|
|a Steel, Mark.
|
| 245 |
1 |
0 |
|a We Just Averaged over Two Trillion Cross-Country Growth Regressions /
|c Mark Steel, Eduardo Ley.
|
| 264 |
|
1 |
|a Washington, D.C. :
|b International Monetary Fund,
|c 1999.
|
| 300 |
|
|
|a 1 online resource (20 pages)
|
| 490 |
1 |
|
|a IMF Working Papers
|
| 500 |
|
|
|a <strong>Off-Campus Access:</strong> No User ID or Password Required
|
| 500 |
|
|
|a <strong>On-Campus Access:</strong> No User ID or Password Required
|
| 506 |
|
|
|a Electronic access restricted to authorized BRAC University faculty, staff and students
|
| 520 |
3 |
|
|a We investigate the issue of model uncertainty in cross-country growth regressions using Bayesian model averaging (BMA). We find that the posterior probability is distributed among many models, suggesting the superiority of BMA over any single model. Out-of-sample predictive results support that claim. In contrast with Levine and Renelt (1992), our results broadly support the more 'optimistic' conclusion of Sala-i-Martin (1997b), namely, that some variables are important regressors for explaining cross-country growth patterns. However, the variables we identify as most useful for growth regression differ substantially from Sala-i-Martin's results.
|
| 538 |
|
|
|a Mode of access: Internet
|
| 700 |
1 |
|
|a Ley, Eduardo.
|
| 830 |
|
0 |
|a IMF Working Papers; Working Paper ;
|v No. 1999/101
|
| 856 |
4 |
0 |
|z Full text available on IMF
|u http://elibrary.imf.org/view/journals/001/1999/101/001.1999.issue-101-en.xml
|z IMF e-Library
|