Linear regression is linear in that it guides the development of a function or model that fits a straight line -- called a linear regression line -- to a graph of the data. This line also minimizes the difference between a predicted value for the dependent variable given the corresponding in...
What Can Tobit-Piecewise Regression Tell Us about The Determinants of Household Educational Debt?Titirut Mekbunditkul
Commands include blogit, cnreg, dprobit, factor, logit, mlogit, ologit, oprobit, probit, rologit, stcox, and tobit. The default is nrtolerance(1e-5). Existing estimation commands exlogistic and expoisson allow option memory() to be more than 512 MB. Existing command ssc, which ...
Statistics: How do you test the equality of regression coefficients that are generated from two different regressions, estimated on two different samples? (Updated 01 July 2005) Windows: How can I determine if my computer/operating system is 64-bit? (Added 27 June 2005) Unix: How can I ...
Multivariate Tobit regression models were used to assess the associations between the natural and built environment and the three types of walking (in average minutes per day). Our models accounted for cross-correlations between the walking types. Our results showed that denser residential areas ...
5.2. Tobit Model Construction After the tests of unit root and cointegration, we apply the Stata 15.0 software to conduct a Tobit regression analysis. The structural equation is as follows: CEEi,t = β1ULi,t + β2(UL)2i,t + β3ISi,t +β4TPLi,t + β5FDIi,t +β6FTDi,t + β...
Sign up with one click: Facebook Twitter Google Share on Facebook TOB (redirected fromTobit) Dictionary Thesaurus Medical Encyclopedia Wikipedia Category filter: AcronymDefinition TOBTaste of the Beach(Fort Myers Beach, FL) TOBThink Outside of the Box ...
Having studied the decision of whether or not to invest in stocks, the logical next step is to consider “how much”, that is, the determinants of equity shares in the financial portfolio. To this end, we employ the same set of explanatory factors in a conditional linear regression. Only ...
If the correctly-specified regression model is K3v = Eβ 1 + E 0v β 2 + U3v, where E is a vector with the three life-cycle stage experiences and E 0v is a vector with unobserved endowments, then the standard omitted variable result is that E[b 1 ] = β 1 + P 12 β2 whe...
regression is then used to identify which factors determine whether a firm will fall into one category or the other (e.g., Cannone & Ughetto,2014; Dib et al.,2010). One limitation of this approach is that the criteria used to determine whether a firm is a BG or not are somewhat ...