A linear regression channel consists of a median line with 2 parallel lines, above and below it, at the same distance. Those lines can be seen as support and resistance. The median line is calculated based on linear regression of the closing prices but the source can also be set to open, high or low. Currencies can be under severe pressure in the foreign exchange market, but in a fixed (or managed) exchange rate regime that is not fully visible via the change in the exchange rate. The 2-step approach estimates first the long-term effect, in a second regression the short-term relation is estimated by using the first differences of the variables and the residuals of the first ... Logistic Regression. Version info: Code for this page was tested in Stata 12. Logistic regression, also called a logit model, is used to model dichotomous outcome variables. In the logit model the log odds of the outcome is modeled as a linear combination of the predictor variables. In the first part, students are introduced to the theory behind linear regression. The theory is explained in an intuitive way. No math is involved other than a few equations in which addition and subtraction are used. The purpose of this part of the course is for students to understand what linear regression is and when it is used.
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Fixed Effects, First Differences and Pooled OLS - intuition - Duration: 7:02. ... Difference between fixed effect and random effect models in panel regression - Duration: 7:56. Difference GMM Estimation in STATA This video explains the concept of difference GMM, and required tests before estimating a difference GMM model. Then, it s... This video provides an overview of how to carry out a basic Poisson regression using Stata. A copy of the Powerpoint referenced in the video can be downloade... Introduction to implementing fixed effects models in Stata. Includes how to manually implement fixed effects using dummy variable estimation, within estimati... This screencast demonstrates how to tell Stata you are working with a panel data set and how to run fixed effect and first difference regressions.