Hi,
I recently run a logistic regression for 3 different estimates and I want to compress all in one table by using esttab. However, if doing so, the odd ratios have been turn into point estimates. My question is therefore: How to interpret these points from the table? Should I convert it to Beta coefficients?
On top of that, the MTB (Market to book ratio) has been transformed into logarithm form but not the Forex variables. My another question is if I need to translate all the continuous variables into logarithm form to best fit the logistic model as the coefficients of Forex variables are quite large?
Thanks in advance.
Kind regards,
Loc Nguyen
I recently run a logistic regression for 3 different estimates and I want to compress all in one table by using esttab. However, if doing so, the odd ratios have been turn into point estimates. My question is therefore: How to interpret these points from the table? Should I convert it to Beta coefficients?
| Crossborder-US:Acquirer | |||
| Taxchange | -1.635*** | ||
| (0.0161) | |||
| PB_Acq | -2.317*** | -2.508*** | -2.830*** |
| (0.0155) | (0.0184) | (0.0696) | |
| Bothlisted | -2.569*** | -2.753*** | -4.862*** |
| (0.0195) | (0.0214) | (0.515) | |
| Finc_cash | -1.166*** | -1.376*** | -1.112*** |
| (0.0145) | (0.0174) | (0.0422) | |
| Finc_stock | 1.249*** | 0.910*** | 2.122*** |
| (0.0182) | (0.0202) | (0.0732) | |
| MTB_Acq | 0.117*** | -0.0461*** | 1.691*** |
| (0.00637) | (0.00671) | (0.0274) | |
| Forex_Acq | -16.36*** | -8.335*** | -45.57*** |
| (0.392) | (0.422) | (1.807) | |
| Constant | 4.013*** | 2.915*** | 5.847*** |
| (0.0709) | (0.0749) | (0.322) | |
| Observations | 230648 | 174452 | 56196 |
| Adjusted R2 |
Thanks in advance.
Kind regards,
Loc Nguyen
