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Using normalized regression equations, we propose an alternative estimator of industrial gender wage gaps which is identified in the sense that it is invariant to the choice of an unobserved non-discriminatory wage structure, and to the choice of the reference groups of any categorical variables. The proposed estimator measures the pure impact of industry on gender wage gaps after netting out wage differentials due to differences in characteristics and their coefficients between men and women. Furthermore, the proposed estimator is easy to implement, and hypothesis testing is straightforward. We compare the proposed estimator with existing estimators using samples from the 1998 US Current Population Survey.

Ashley (Journal of Forecasting 1983; 2(3): 211–223) proposes a criterion (known as Ashley's index) to judge whether the external macroeconomic variables are well forecast to serve as explanatory variables in forecasting models, which is crucial for policy makers. In this article, we try to extend Ashley's work by providing three testing procedures, including a ratio-based test, a difference-based test, and the Bayesian approach. The Bayesian approach has the advantage of allowing the flexibility of adapting all possible information content within a decision-making environment such as the change of variable's definition due to the evolving system of national accounts. We demonstrate the proposed methods by applying six macroeconomic forecasts in the Survey of Professional Forecasters. Researchers or practitioners can thus formally test whether the external information is helpful. Copyright © 2010 John Wiley & Sons, Ltd.

This article investigates the relationship between foreign direct investment (FDI, including outward FDI and inward FDI), imports and exports, and product innovation. Our theoretical model predicts that inward FDI, outward FDI, imports, and exports have positive influences on firm innovative activities, which would evaluate the effects of the relative magnitude of different sources on innovation. The empirical results based on the 2003 First Taiwan Technological Innovation Survey confirm three of the proposed hypotheses for the entire sample. However, when focusing on the manufacturing sector, outward FDI, inward FDI, imports, and exports all exhibit strongly positive effects on the determination of conducting product innovation (i.e., the four hypotheses are verified). A consistent trend is that outward FDI has the largest effect on innovation, regardless of the measurement of product innovation and the division of the entire sample, which may imply that in Taiwan a positive effect of "deindustrialization" is to innovate more.

The present study examines the employment status and choice of employment sector of female foreign spouses from Southeast Asia and Mainland China in Taiwan. The conceptual framework is based on the family labour supply model, human and social capital theory, and immigrant assimilation theory. Our findings indicate that in regard to employment status, family background variables, including the presence of small children and husbands' characteristics, play a more significant role in determining the employment probability for these foreign spouses than do human capital variables. In particular, for spouses from Southeast Asia, each additional child is correlated with a decrease in working probability of 11.3%, whereas college education has an insignificant effect on their employment probability. Employment assimilation for these marriage immigrants may be confirmed by the finding that the employment probability of foreign spouses rises rapidly with the number of years that have elapsed since migration. As for the choice of employment sector, a strong linkage between the employment sector of the foreign spouses and their husbands' employment sector is found in this study.