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| 1 |
ID:
106236
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| Publication |
2011.
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| Summary/Abstract |
This paper examines whether industrial growth during economic development is associated with a high workplace fatality rate by using panel data from China. Controlling for provincial and year fixed effects, our estimations show that provincial industrial growth has a positive impact on the workplace fatality rate. We also find that both the growth of industrial labor productivity and the growth of industrial employment have an impact on workplace fatalities. Our instrumental variable fixed effects estimations, which control for simultaneity, show an even greater effect of industrial growth on the fatality rate. Our empirical findings suggest that the Chinese government ought to reconsider its growth-centered policies to save lives.
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| 2 |
ID:
182674
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| Summary/Abstract |
This article examines what scholars can learn about civilian killings from newswire data in situations of non-random missingness. It contributes to this understanding by offering a unique view of the data-generation process in the South Sudanese civil war. Drawing on 40 hours of interviews with 32 human rights advocates, humanitarian workers, and journalists who produce ACLED and UCDP-GED’s source data, the article illustrates how non-random missingness leads to biases of inconsistent magnitude and direction. The article finds that newswire data for contexts like South Sudan suffer from a self-fulfilling narrative bias, where journalists select stories and human rights investigators target incidents that conform to international views of what a conflict is about. This is compounded by the way agencies allocate resources to monitor specific locations and types of violence to fit strategic priorities. These biases have two implications: first, in the most volatile conflicts, point estimates about violence using newswire data may be impossible, and most claims of precision may be false; secondly, body counts reveal little if divorced from circumstance. The article presents a challenge to political methodologists by asking whether social scientists can build better cross-national fatality measures given the biases inherent in the data-generation process.
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