Table 7: Results of the GEE Regressions Non-Financial FDI (2004–2006)† – Variable Chinese NF-FDI Chinese NF-FDI -.049 (.069) FHREP -.055 (.027)** CIRIREP (.003) (.003) LIT –.002 –.001 .010 (.005)** .009 (.004)** NATRES .005 (.002)** .004 (.002)* (.004) .000 (.004) INFLA –.000 .002 (.005) .002 (.004) POLRISK .006 (.004) .006 (.005) BUSFREE (.010) (.010) EGROW –.003 –.002 Constant (.427) (.347) –.066 –.462 Observations 177 177 Wald 19.70** 34.23*** χ² cells contain regression coefficients with semi-robust standard errors in parentheses †The *Significant at the .10 level **Significant at the .05 level ***Significant at the .01 level
Table 7: Results of the GEE Regressions – Non-Financial FDI (2004–2006)† Variable Chinese NF-FDI Chinese NF-FDI FHREP -.049 (.069) CIRIREP -.055 (.027)** LIT –.002 (.003) –.001 (.003) NATRES .010 (.005)** .009 (.004)** .005 (.002)** .004 (.002)* INFLA –.000 (.004) .000 (.004) POLRISK .002 (.005) .002 (.004) BUSFREE .006 (.004) .006 (.005) EGROW –.003 (.010) –.002 (.010) Constant –.066 (.427) –.462 (.347) Observations 177 177 Wald χ² 19.70** 34.23*** †The cells contain regression coefficients with semi-robust standard errors in parentheses *Significant at the .10 level **Significant at the .05 level ***Significant at the .01 level
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