REGRESSION ANALYSIS WHEN THE DEPENDENT VARIABLE IS TRUNCATED NORMAL
By Econo Metrica. 2016
209 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/f3f35f9763998f92c00acf9e65344c9cba63860f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Xingbai Xu
- Lung-fei Lee
- Trang P. Tran
- David C. Yen
- Kuanchin Chen
- Albert H. Huang
- Xiaodong Liu
- Zhenlin Yang
Citations in the corpus
- Maximum likelihood estimation of a spatial autoregressive Tobit model (2015, methodology): “Nevertheless, this paper develops solid foundations for future extensions of this paper: (1) estimation of the model with unknown form of heteroskedasticity; (2) estimation of the model when the error terms are distributional free; and (3) estimation of other types of Tobit models (see Amemiya, 1985”
- Willingness to pay for the “Green Food” in China (2014, unknown): “The Interval Regression Approach, a generalized Tobit model (Amemiya, 1973), is the main technique to tackle such a data structure (Yang et al., forthcoming; Davidson and MacKinnon, 2004, Section 11.6).”
- A study of factors that contribute to online review helpfulness (2015, methodology): “The general construction of Tobit Regression assumes the following form (see Amemiya, 1973; Tobin, 1958): yi ¼ bxi þ ui; if RHS > 0 0; if RHS 6 0 ui IIDNð0;r2Þ When all reviews were included in the analysis, the relationship between word count and helpfulness was significant (see Table 4,…”