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- Table 19: Regression results of the main specification for other activities with socioeconomic control variables 53 Dependent variables: Growth rate (%) pc in sector Total output Agriculture, hunting, forestry, fishing Mining, utilities Manufacturing Construction Wholesale, retail trade, restaurants, hotels Transport, storage, communication Other activities (1) (2) (3) (4) (5) (6) (7) (8) WINDt-0.0067-0.0304-0.0092-0.0089 0.0103-0.0106-0.0074-0.0031 (0.0032) (0.0065) (0.0130) (0.0078) (0.0114) (0.0047) (0.0046) (0.0031) [0.0347] [0.0000] [0.4815] [0.2574] [0.3657] [0.0243] [0.1056] [0.3112] Observations 8,842 8,801 8,674 8,803 8,846 8,796 8,800 8,840 Country FE Yes Yes Yes Yes Yes Yes Yes Yes Year FE Yes Yes Yes Yes Yes Yes Yes Yes Notes: OLS regression results with Conley HAC standard errors in parentheses (), and p-values in brackets []. The sample covers the period 1971 through 2015. WIND is the area weighted measure for tropical cyclone intensity and its unit is km/h.
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- Table 32: Regression results of the main specification including potential outliers 65 Appendix D: Heterogeneous Effects In this specification, I analyze how the sectoral growth rates of different country groups react to the occurrence of tropical cyclones. Above all, this analysis connects to work done by Kahn (2005) and Strobl (2012). To compare economically developing and developed countries, I separate the sample following the OECD’s Development Assistance Committee (DAC) criteria. The results of this sample separation are presented in Figure 11. It shows that sectoral growth rates react differently to tropical cyclones in developing and developed countries. As could be expected, developing countries seem to be more vulnerable to the effects of tropical cyclones. For developing countries, all effects found in the main specification can be replicated.
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