Bandingkan kaedah

	Model Halangan untuk Data Kiraan	Regresi Kuasa Dua Terkecil Biasa (OLS)
Bidang	Statistik	Ekonometrik
Keluarga	Regression model	Regression model
Tahun asal	1986	2019
Pengasas	Mullahy	Wooldridge (textbook treatment); classical least squares
Jenis	Two-part count model	Linear regression
Sumber perintis	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
Berkaitan	5	5
Ringkasan	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).