start.val: Get the starting points for your regression

In jackiemauro/hurdleIV:

Description

The maximum likelihood procedure needs a place to start. This runs traditional IV probit/linear regressions to get starting points.

Usage

## S3 method for class 'val'
start(formula, endog_reg, data, type)

Arguments

formula	the second stage linear regression (outcome ~ exogenous + endogenous)
endog_reg	a list of endogenous regressions. By default it will include all exogenous regressors and one instrument
data	your data, as a dataset
type	either "lognormal" or "cragg"

Value

returns a list of starting parameters for the coefficients and the covariance matrix

jackiemauro/hurdleIV documentation built on May 18, 2019, 7:56 a.m.