000 02154cam a22003497 4500
001 w7750
003 NBER
005 20211020113534.0
006 m o d
007 cr cnu||||||||
008 210910s2000 mau fo 000 0 eng d
100 1 _aDoppelhofer, Gernot.
_99456
245 1 0 _aDeterminants of Long-Term Growth:
_bA Bayesian Averaging of Classical Estimates (BACE) Approach /
_cGernot Doppelhofer, Ronald I. Miller, Xavier Sala-i-Martin.
260 _aCambridge, Mass.
_bNational Bureau of Economic Research
_c2000.
300 _a1 online resource:
_billustrations (black and white);
490 1 _aNBER working paper series
_vno. w7750
500 _aJune 2000.
520 3 _aThis paper examines the robustness of explanatory variables in cross-country economic growth regressions. It employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates as a weighted average of OLS estimates for every possible combination of included variables. The weights applied to individual regressions are justified on Bayesian grounds in a way similar to the well-known Schwarz criterion. Of 32 explanatory variables we find 11 to be robustly partially correlated with long-term growth and another five variables to be marginally related. Of all the variables considered, the strongest evidence is for the initial level of real GDP per capita.
530 _aHardcopy version available to institutional subscribers
538 _aSystem requirements: Adobe [Acrobat] Reader required for PDF files.
538 _aMode of access: World Wide Web.
588 0 _aPrint version record
690 7 _aO51 - U.S. • Canada
_2Journal of Economic Literature class.
690 7 _aO52 - Europe
_2Journal of Economic Literature class.
700 1 _aMiller, Ronald I.
_916789
700 1 _aSala-i-Martin, Xavier.
710 2 _aNational Bureau of Economic Research.
830 0 _aWorking Paper Series (National Bureau of Economic Research)
_vno. w7750.
856 4 0 _uhttps://www.nber.org/papers/w7750
856 _yAcceso en lĂ­nea al DOI
_uhttp://dx.doi.org/10.3386/w7750
942 _2ddc
_cW-PAPER
999 _c340477
_d299039