Chapter 2 – Descriptive Statistics using STATA
With easy data handling STATA can be very useful in descriptive analysis in primary and secondary data mainly continuous variables.
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Chapter 3 – Simple Regression Analysis using STATA
While analyzing cause and effect, simple regression analysis is a useful tool. Following video is about doing regression analysis in STATA
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Chapter 2 – II Cross Tabulation on qualitative variables using STATA
Cross tabulations are used for the variables which are discrete or mostly qualitative. They produce contingency tables of probabilities of outcomes which can be used to generate a pattern.
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Chapter 3 – OLS Diagnostic testing in STATA – Autocorrelation tests
Breusch-Godfrey Test is used to check first order as well as higher order auto-correlation in data. Following tutorial will enable you to learn how to apply this test in STATA.
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Chapter 3 – OLS Diagnostics Testing in STATA – Multicollinearity
Adding correlated variable as independent variable can cause multicollinearity in the data which consequence of imprecise estimates.
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Chapter 3 – OLS Diagnostic Testing in STATA – Non Normal Residuals
Jarque-Bera Test is used to check skewness and kurtosis of the residuals of the model, as they determine the normal nature of variable.
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Chapter 4 – Cross section domain – Principal component and Factor analysis in Stata
For primary data usually there are too many similar variables which are available for estimation, for this PCA and FA method are used to arrange the variables into groups which are most relevant to each other in order to prioritize the selection of variables. Following is the tutorial of this method in STATA
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Chapter 1 – Importing Data in Matlab
Matlab was originated for matrix calculation for mathematics but gradually it developed into a matrix programming based research software.
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Chapter 2 – Data analysis and plotting in Matlab
Matlab can be used to analysing data properties and plotting its graphs. Following tutorial will describe how to extract properties from the data.
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Chapter 2 – Coefficient restriction test in Eviews – WALD test
Coefficient restriction test is useful to see if individual variable or the set of variables can be equal to zero or any other reference value. Instead of manual calculation this can be done faster using WALD test and it also provides the p values which cannot be calculated in manual calculation.
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