השוואת שיטות

	מודל רגרסיית פרוביט	רגרסיית קוונטילים
תחום	אקונומטריקה	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	2018	1978
הוגה השיטה	Greene (textbook treatment); classical discrete-choice modelling	Koenker & Bassett
סוג	Binary discrete-choice model	Conditional quantile regression
מקור מכונן	Greene, W. H. (2018). Econometric Analysis (8th ed.). Pearson. ISBN: 978-0134461366	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
כינויים	probit regression, normit model, Probit Modeli	conditional quantile regression, regression quantiles, Kantil Regresyon
קשורות	5	5
תקציר	The probit model is a regression method for a binary (0/1) outcome that maps a linear index of the predictors through the standard normal cumulative distribution function to produce a probability. It is a classical discrete-choice alternative to logistic regression, developed in standard econometrics treatments such as Greene's Econometric Analysis (2018).	Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.