Conjoint Analysis Using Probit Model

Using a Mixed Probit Model

A mixed probit model was applied to survey data toanalyze consumers’ wilingness to buy apples with cosmetic damage caused by the sooty blotch and flyspeck (SBFS) disease complex. The analysis finds consumers will pay a premium for organic production methods and for apples with low amounts of SBFS damage. Behavioral variables such as experience in growing fruit significantly affect the willingne...

Probit Analysis

177 mental psychology wlherein deduced concepts and inductions from clinical observation are to be coml)ined in a comprehensive frame of reference within which psyclhological pheenomena in lhumans are to be understood. When a responise mlade by a living organism to a stimtultus must fall inlto one or the other of two mutually exclusive classes, it is knowvn as a quantal or all-or-nothing respon...

Probit Analysis

Valuing watershed quality improvements using conjoint analysis

This paper reports on a study of valuation of multiple stream quality improvements in an acid-mine degraded watershed in Western Pennsylvania. A technique extensively used in marketing research, conjoint (CJ) analysis, is used in conjunction with a random utility model (RUM) to establish shadow valuations for various combinations of stream quality improvements in two streams. The technique show...

Interpreting Probit Analysis

Regression via ordinary least squares (OLS) is a commonly applied statistical technique in political science. However, when the dependent variable is dichotomous (0-1) rather than continuous, ordinary least squares becomes an inefficient estimation technique, and the underlying linear probability model (LPM) that is being estimated represents a poor apriori choice of model specification (Aldric...