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. 2021 May 27;56(1):215–232. doi: 10.1007/s41775-021-00113-w

Table 3.

The Log-linear panel regression of weekly cumulative total confirmed cases on state-level factors [Depended variable: Log(Cases)]

Explanatory variables Model 1 Model 2 Model 3 Model 4
Constant 0.808**(4.184) 1.264**(7.971) 1.175**(4.109) − 0.873(− 1.880)
Log(Cases(− 1)) 0.824**(34.362) 0.873**(58.032) 0.825**(24.882) 0.872**(50.713)
Log(PCNSDP) 0.129**(3.125)
Log(URBAN) 0.136*(2.032) 0.156**(2.582)
Log(DENSITY) 0.041*(2.125) 0.049**(2.653)
Log(BPL) − 0.064*(− 2.002) − 0.062**(− 3.034)
Log(AGRI) − 0.080**(− 4.776) − 0.068*(− 2.040)
Unlock 0.244**(3.059) 0.258**(3.317)
Log(URBAN)*Log(BPL) − 0.023*(− 2.153)
R-squared 0.96 0.96 0.96 0.96
Adjusted R-squared 0.96 0.96 0.96 0.96
F-statistic 10480.21** 10481.78** 10481.65** 10518.06

Source: Estimated by the authors on the basis of secondary data

(1) Numbers in the parentheses are t ratios where White’s diagonally corrected standard errors are used throughout. **means significant at 1% level and *means significant at 5% level. (2) These pooled estimates use White’s diagonally corrected standard errors throughout. (3) Number of states and UTs = 33, number of weeks = 47; panel includes 1551 pooled observations