Fiscal capacity threshold in the relation between COVID-19 infections and credit risk.
In this table, we report the values of the fiscal constraint measures that split our sample into subsamples of increasing sensitivity of credit risk to the spread of COVID-19 infections. In Panel A (B) we focus on specifications where the sample is split into two (three) subsamples. In column “Simple Threshold,” for each fiscal capacity variable, we report the value that separates countries into two subsamples, such that, for one of them, the relation between the coronavirus spread and credit risk is significant at the 1% level. We base this split on the specifications in columns (1)–(6) in Table 4, and the corresponding country-specific sensitivities shown in Fig. A-1 of the Internet Appendix. “Country Distribution” indicates how many countries fall above and below the threshold for each measure. For example, based on the specification reported in column (1) of Table 4, for the 15 countries with higher than 59.3%, is statistically different from zero at the 1% level. In columns (4)–(9) of Panel A, we report the results of estimating , where is one of the fiscal capacity measures and is an endogenously determined threshold that maximizes the explanatory power of the regression. contains country- and time-varying controls as per column (1) of Table 5. We report the estimated endogenous threshold , parameters and , and number of countries above and below the threshold, for each fiscal variable under the corresponding columns. Panel B reports similar quantities for the two-threshold specification, . Further details on the variables and their sources are provided in Table A-1 of the Internet Appendix. Standard errors are heteroskedasticity-robust, and the superscripts , , and refer to statistical significance at the , , and levels, respectively.