Comparar métodos

	Modelo de barrera para datos de recuento	Regresión por Mínimos Cuadrados Ordinarios (MCO)
Campo	Estadística	Econometría
Familia	Regression model	Regression model
Año de origen	1986	2019
Autor original	Mullahy	Wooldridge (textbook treatment); classical least squares
Tipo	Two-part count model	Linear regression
Fuente seminal	Mullahy, J. (1986). Specification and Testing of Some Modified Count Data Models. Journal of Econometrics, 33(3), 341–365.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Alias	hurdle count model, two-part count model, zero-truncated count model, Engel Modeli (Hurdle Model)	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Relacionados	5	5
Resumen	The hurdle model is a two-part count-data model introduced by Mullahy (1986). A first stage models the binary choice of crossing a hurdle (a zero versus a non-zero count), and a second stage models the strictly positive counts with a zero-truncated distribution such as a zero-truncated Poisson or negative binomial.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).