Political Language in Economics
Political Language in Economics
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经济学中的政治语言
作者：
Zubin Jelveh;B. Kogut;S. Naidu
经济学的学术写作是否反映了经济学家的政治倾向？我们使用机器学习来衡量学术经济学文章中的党派关系。我们使用经济学家学术文章中的短语来预测观察到的一小部分经济学家的政治行为，显示出良好的样本外预测准确性，然后预测所有经济学家的党派倾向。然后，我们用这些预测来检验经济学中政治语言的模式。我们估计了期刊对预测意识形态的特定影响，控制了作者和年份固定的影响，与现有的基于调查的措施一致。我们根据预测的党派倾向对经济学家的研究领域进行了相当大的分类。我们还表明，即使在领域内，即使在那些估计相同理论参数的领域内，党派关系也是可以检测到的。利用从之前的荟萃分析中收集的政策相关参数，我们发现估算的党派关系与估计的参数相关，因此隐含的政策处方与党派倾向是一致的。例如，我们发现，从最左翼的应纳税最高收入弹性估计到最右翼的估计，最优税率从84%降低到58%。
Does academic writing in economics reflect the political orientation of economists? We use machine learning to measure partisanship in academic economics articles. We predict observed political behavior of a subset of economists using the phrases from their academic articles, show good out-of-sample predictive accuracy, and then predict partisanship for all economists. We then use these predictions to examine patterns of political language in economics. We estimate journal-specific effects on predicted ideology, controlling for author and year fixed effects, that accord with existing survey-based measures. We show considerable sorting of economists into fields of research by predicted partisanship. We also show that partisanship is detectable even within fields, even across those estimating the same theoretical parameter. Using policy-relevant parameters collected from previous meta-analyses, we then show that imputed partisanship is correlated with estimated parameters, such that the implied policy prescription is consistent with partisan leaning. For example, we find that going from the most left-wing authored estimate of the taxable top income elasticity to the most right-wing authored estimate decreases the optimal tax rate from 84% to 58%.
影响因子：
10.7
作者：
Andrews, Isaiah;Kasy, Maximilian
通讯作者：
Kasy, Maximilian
关于注射吸毒者艾滋病毒预防的数据和公共卫生决策。
DOI：
10.1007/s11524-008-9281-z
发表时间：
2008
期刊：
Journal of urban health : bulletin of the New York Academy of Medicine
影响因子：
--
作者：
DesJarlais,DonC
通讯作者：
DesJarlais,DonC