Bayesian model averaging and model selection: two sides of the same coin when identifying the determinants of trade union density?
One of the main problems in empirical sciences is the uncertainty about the relevance of variables. In the debate on the variables that provide a systematic and robust explanation of the share of employees that are members of trade unions, i.e. of trade union density, the problem of variable uncertainty is striking. In regression analyses there is the problem of having to select variables. One problem in the union density discussion is that depending on the chosen combination of regressors different results in the identification of relevant variables are achieved. To systematically analyze which variables are relevant the literature suggests model averaging and selection strategies. While the two strategies have advantages and disadvantages, the aim of this paper is to apply both. Based on a characteristic cross-country panel data set we find differences and similarities based on our evaluation and ask whether a methodological triangulation is possible. Copyright Springer-Verlag 2009
Volume (Year): 17 (2009)
Issue (Month): 1 (March)
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- Schnabel, Claus & Wagner, Joachim, 2003. "Determinants of Trade Union Membership in Western Germany: Evidence from Micro Data, 1980-2000," IZA Discussion Papers 708, Institute for the Study of Labor (IZA).
- Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2004.
"Training in Europe,"
Journal of the European Economic Association,
MIT Press, vol. 2(2-3), pages 346-360, 04/05.
- Nicola-Maria Riley, 1997. "Determinants of Union Membership: A Review," LABOUR, CEIS, vol. 11(2), pages 265-301, 06.
- Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000.
"Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach,"
NBER Working Papers
7750, National Bureau of Economic Research, Inc.
- Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
- Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (Bace) Approach," OECD Economics Department Working Papers 266, OECD Publishing.
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