Econometrics Academy - Ordered Probit and Logit Models
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Suppose the estimated logit function is p^​′(X)=β^​0​ β^​1​X=−2... | Filo
Suppose the estimated logit function is p^​′(X)=β^​0​ β^​1​X=−2... …
4 months ago
askfilo.com
SOLVED: The table below presents the results of estimating a Linear Regression (LR) model, a Logit model, and a Probit model for a binary dependent variable, y, using the explanatory variables x, m, m x, and a constant. Here m is a dummy (binary) variable, and x is continuously distributed.(1) (2) Regressors LPM Logit x 0.468 3.772(3) Probit 2.192m 0.292 (0.0393)m x -0.0172 0.0465constant 0.412 (0.0322)2.467 1.436 (0.344) (0.191) 0.487 0.258 (0.817) (0.434) -0.645-0.375 (0.240) (0.137) 380 380(0
SOLVED: The table below presents the results of estimating a Linear …
Jun 5, 2023
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