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首页> 外文期刊>Journal of Economic Methodology >The scientific limits of understanding the (potential) relationship between complex social phenomena: the case of democracy and inequality
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The scientific limits of understanding the (potential) relationship between complex social phenomena: the case of democracy and inequality

机译:了解复杂社会现象之间(潜在)关系的科学极限:民主与不平等的情况

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摘要

This paper outlines the methodological and empirical limitations of analysing the potential relationship between complex social phenomena such as democracy and inequality. It shows that the means to assess how they may be related is much more limitedthan recognised in the existing literature that is laden with contradictory hypotheses and findings. Better understanding our scientific limitations in studying this potential relationship is important for research and policy because many leading economists and other social scientists such as Acemoglu and Robinson mistakenly claim to identify causal linkages between inequality and democracy but at times still inform policy. In contrast to the existing literature, the paper argues that 'structural' or 'causal' mechanisms that may potentially link the distribution of economic wealth and different political regimes will remain unknown given reasons such as their highly complex and idiosyncratic characteristics, fundamental econometric constraints and analysis at the macro-level. Neither new data sources, different analysed time periods nor new data analysis techniques can resolve this question and provide robust, general conclusions about this potential relationship across countries. Researchers are thusrestricted to exploring rough correlations over specific time periods and geographic contexts with imperfect data that are very limited for crosscountry comparisons.
机译:本文概述了分析诸如民主与不平等之类的复杂社会现象之间潜在关系的方法和经验上的局限性。它表明,评估它们可能如何关联的方法比现有文献中所载的矛盾假设和发现相互矛盾得多。更好地了解我们研究这种潜在关系的科学局限性对于研究和政策至关重要,因为许多领先的经济学家和其他社会科学家(例如Acemoglu和Robinson)错误地声称要找出不平等与民主之间的因果关系,但有时仍会为政策提供信息。与现有文献相反,该论文认为,由于其高度复杂和特质的特征,基本的计量经济学约束和潜在的原因,可能将经济财富的分配与不同政治制度联系起来的“结构”或“因果”机制仍然是未知的。宏观层面的分析。新的数据源,不同的分析时间段或新的数据分析技术都不能解决这个问题,也无法提供有关各国之间这种潜在关系的可靠的一般性结论。因此,研究人员只能使用不完善的数据来探索特定时间段和地理环境下的粗略相关性,而这些数据对于跨国比较而言非常有限。

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