2017•Economics LettersOpen access

A note on the macroeconomic consequences of ethnic/racial tension

Kerim Peren Arin, Murat Koyuncu, Nicola Spagnolo

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Abstract

While many studies stressed the importance of ethnic fractionalization on long-term economic growth, neither ethnic fractionalization always leads to ethnic conflict nor the intensity of conflict is constant over time. To address this potential bias, we construct an ethnic/racial tension index by using the number of US news articles that contain certain keywords. Utilizing this index we test the predictions of a simple theoretical model in a Markov Switching framework which allows to identify the impact of ethnic/racial tension in different states of the economy. Consistent with our theoretical predictions, results show that the magnitude of the impact of ethnic/racial tension is larger during low-growth periods.

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While many studies stressed the importance of ethnic fractionalization on long-term economic growth, neither ethnic fractionalization always leads to ethnic conflict nor the intensity of conflict is constant over time. To address this potential bias, we construct an ethnic/racial tension index by using the number of US news articles that contain certain keywords. Utilizing this index we test the predictions of a simple theoretical model in a Markov Switching framework which allows to identify the impact of ethnic/racial tension in different states of the economy. Consistent with our theoretical predictions, results show that the magnitude of the impact of ethnic/racial tension is larger during low-growth periods.

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Available abstract

While many studies stressed the importance of ethnic fractionalization on long-term economic growth, neither ethnic fractionalization always leads to ethnic conflict nor the intensity of conflict is constant over time. To address this potential bias, we construct an ethnic/racial tension index by using the number of US news articles that contain certain keywords. Utilizing this index we test the predictions of a simple theoretical model in a Markov Switching framework which allows to identify the impact of ethnic/racial tension in different states of the economy. Consistent with our theoretical predictions, results show that the magnitude of the impact of ethnic/racial tension is larger during low-growth periods.

Key concepts: Fractionalization, Ethnic group, Markov chain, Economics, Construct (python library), Index (typography), Demographic economics, Econometrics

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