Why would adding one variable to a regression make other variables go from insignificant to significant?

15 January 2021 1 7K Report

I am regressing stock market participation (binary variable equal to 1 if an individual owns equities and 0 otherwise) on debt and a bunch of control variables using a logistic regression. debt is not significant. But, if I add risk aversion as an additional control variable, debt becomes significant.

I tested, and did not find any evidence for multicollinearity.

Any ideas why the significance of debt changes when adding risk tolerance?

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