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PurposeThe aim of this paper is to shed light on recent debates in this journal on differences in home‐region orientation depending on type of company and the home region in which they are based.Design/methodology/approachThe paper looks at the structure of trade (imports and exports) across different types of goods in order to shed light on differences between sectors and types of technology. The paper also explores structures across regions in order to shed light on regional differences.FindingsThis research indicates that there are major differences in structures of trade between different types of goods. However, these differences do not necessarily conform to a clear pattern across different technological levels and differ between regions and the direction of trade. The fact that Asian cultures have greater psychic distance from European and North American cultures is not reflected in higher levels of home‐region orientation.Research limitations/implicationsThe paper helps to clarify some of the hypotheses on home‐region orientation recently identified in this journal and, thus, helps to advance theories about why this orientation is so prevalent. The main limitations are related to the methodology. Using trade data, the paper cannot define the boundaries of the firm and, therefore, can only make conclusions at the macro level. These conclusions can, nevertheless, help to orient work at the micro level to further explore the key questions which recent work has raised.Originality/valueLimited comparative work across sectors or technologies has been undertaken in the context of the debate on home‐region orientation. Differentiating between different types of goods can help to give us insights into why so many companies tend to focus so consistently on their home region, while others are more global.

Private school students do not always perform better in standardized tests. We suggest that this may be explained by choice of private schooling by less capable students in countries where government schools are better suited to talented students. To assess the empirical relevance of this mechanism, we exploit cross-country variation in the PISA 2009 survey of differences between private and state school regarding organizational features that are differently suitable for students with different learning ability. We seek and find evidence of this mechanism's empirical relevance in controlled regressions that treat within-country variation of PISA scores as an indicator of unobserved ability to learn.