Data Analysis Using STATA: Use and Interpretation

Stata is a general-purpose statistical software package created in 1985 by StataCorp. The name Stata is a syllabic abbreviation of the words statistics and data. The FAQ for the official forum of Stata insists that the correct English pronunciation of Stata “must remain a mystery”; any of “Stay-ta”, “Sta-ta” or “Stah-ta” (rhymes of the three pronunciations of ‘data’) are considered acceptable. More recent updates indicate that

Quick Overview of Stata User Interface

Stata’s capabilities include data management, statistical analysis, graphics, simulations, regression, and custom programming. It also has a system to disseminate user-written programs that lets it grow continuously. This article introduces the core of Stata’s interface: its main windows, its toolbar, its menus, and its dialogs. 1. The windows The five main windows are the History, Results,

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Finding and Installing New Commands or User-Written Programs in Stata

Stata has a system to disseminate user-written programs that lets it grow continuously. So actually, there are a tremendous number of user-written programs for Stata available which, once installed, act just like official Stata commands. This article will show you how to find, install and update new commands or user-written programs in Stata. Finding User-Written

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Fixed-Effects Regression in Panel Data Analysis using Stata

In panel data, we use fixed-effects model whenever we are only interested in analyzing the impact of variables that vary over time. This model is “designed to study the causes of changes within an entity. A time-invariant characteristic cannot cause such a change, because it is constant for each entity” (Kohler and Kreuter. 2008). Fixed-effects

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Random-Effects Regression in Panel Data Analysis using Stata

In panel data, the rationale behind random effects model is that: unlike the fixed-effects model, the variation across entities is assumed to be random and uncorrelated with the independent variables included in the model. So, “…the crucial distinction between fixed and random effects is whether the unobserved individual effect embodies elements that are correlated with

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Different regression models with Panel data (fixed-effects, random-effects, and pooled OLS)

Panel data, also known as longitudinal or cross-sectional time-series data, is a dataset in which the behaviors of entities are observed across time. These entities could be states, companies, individuals, countries etc. Panel data allows us to control for variables we cannot observe or measure across entities; or variables that change over time but not

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Choosing Fixed-Effects, Random-Effects or Pooled OLS Models in Panel Data Analysis using Stata

This article introduces the practical process of choosing Fixed-Effects, Random-Effects or Pooled OLS Models in Panel data analysis. We will show you how to perform step by step on our panel data, from which we published the results in our article on Sustainability review in 2019 (see Nguyen Hoang Viet, Phan Thanh Tu and Lobo

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