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A simulation study designed to evaluate the pseudo-R2 proposed by Spiess and Keller (1999) suggests that this measure represents the goodness-of-fit not only of the systematic part, but also of the assumed correlation structure in binary panel probit models.
Persistent link: https://www.econbiz.de/10011433609
In this paper R2-type measures of the explanatory power of multivariate linear and categorical probit models proposed in the literature are reviewed and their deficiencies are discussed. It is argued that a measure of the explanatory power should take into account the components which are...
Persistent link: https://www.econbiz.de/10011436274
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This paper uses the 2005 and 2006 China General Social Survey (CGSS) to study the relationship between social capital and health in China. It is the most comprehensive analysis of this subject to date, both in the sizes of the samples it analyses, in the number of social capital variables it...
Persistent link: https://www.econbiz.de/10011441528
The profitability of green investment is crucial for the diffusion of the resulting technologies but the knowledge about these effects is still limited. Positive performance effects may be based on cost savings stemming from the introduction of cleaner production processes connected with lower...
Persistent link: https://www.econbiz.de/10011538669
We study the undeclared work patterns of Hungarian employees in relatively stable jobs, using a panel dataset that matches individual-level self-reported Labour Force Survey (LFS) data with administrative data from the Pension Directorate for 2001-2006. We estimate the determinants of undeclared...
Persistent link: https://www.econbiz.de/10011539551
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Background: The suitability and performance of the bankruptcy prediction models is an empirical question. The aim of this paper is to develop a bankruptcy prediction model for Indian manufacturing companies on a sample of 208 companies consisting of an equal number of defaulted and non-defaulted...
Persistent link: https://www.econbiz.de/10011542461