Poisson Model, OLS Regression, Logit & Probit Model

// Question 1
// Part a

// Importing dataset as a CSV format
import delimited /Users/abishekd/Downloads/TableF17-2.csv

gen A = 0
replace A = 1 if yrb > 0

// indicator variable for children
gen indv4=1 if v4 > 0
replace indv4 = 0 if v4 == 0

// creating age-squared variable
gen vsq = v2^2

// Creating the logit model
logit A i.v1 v2 vsq indv4 v3 i.v5 v6
margins, dydx(*) atmeans

// Creating the probit model
probit A i.v1 v2 vsq indv4 v3 i.v5 v6
margins, dydx(*) atmeans

// Finding Marginal Probabilities
margins, dydx(*) atmeans predict(outcome(1))
margins, dydx(*) atmeans predict(outcome(2))
margins, dydx(*) atmeans predict(outcome(3))
margins, dydx(*) atmeans predict(outcome(4))


// Question 2
// Part a

import delimited /Users/abishekd/Downloads/health.csv, clear

// Poisson Model
poisson hospvis female age handper public hhninc

// Finding Marginal Effects
margins, dydx(*) atmeans

// Part b

// OLS Regression
reg hospvis female age handper public hhninc

// Checking for Overdispersion using negative binomial regression
nbreg hospvis female age handper public hhninc