Who can help me choose FE or RE model in STATA?
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I am writing an assignment for a graduate course in my field. The question was about selecting a model in STATA. I am a senior professor in a reputed university. I have been teaching and researching in STATA for 20 years, so I am familiar with all the features and functions. I had used STATA for my research and had found it very helpful in the past. Home However, my current research is very complex, and I need a model that can handle this data with ease. For my current research, the variables I need to analyze are
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– In Stata, you can choose a FE or RE model. But you need to understand the differences between these models. FE models focus on identifying whether a treatment affects a dependent variable over time. RE models, on the other hand, identify the causal relationships among multiple independent variables. For example, they may estimate whether a particular school has a better student achievement because of its school facilities. – The difference between a FE and RE model is that FE models assume that the treatment affects the dependent variable over time, and RE models assume that there is
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In STATA there are three main models to fit data — linear model, non-linear model (exponential family), or mixed effect models. FE (linear) and RE (exponential) are common types of linear models. They are best used to fit time-series data and for small sample sizes. To choose between linear or exponential models, a statistical expert should work with STATA. Four years ago, my company hired a professional statistical expert for our business analytics. He used STATA to analyze data and suggest statistical models to fit. It turned
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In my current job, I am asked to analyze and interpret a lot of data. Some data comes with a specific model (FE), while the others come with different models (RE). click for source I am not very familiar with the differences between the two models. Can you explain the difference between FE and RE model in STATA? My question is quite general, but as an undergraduate student, I hope you understand the importance of a thorough understanding of the model that I need to analyze. The task requires me to determine the model and find the significance of my finding by applying statistical hypothesis testing (H
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FE model: Fe (Friedman’s Equation) RE model: Restricted Econometric Model I’m interested in choosing a FE model for my research paper. I’m a mathematician, but I have no statistical background. I can do the programming for this model, but can you tell me which one is more popular in Stata? I am a senior economics student, pursuing B.E in E.E. I am well versed with STATA, and I want to create an FE model for
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In fact, I know a superb STATA expert, Who can help you choose FE or RE model in STATA. Here’s how: The author starts the paragraph with a well-placed question (“Who can help me choose FE or RE model in STATA?”). This sets the scene for the discussion (“Choosing” vs. “Changing”), which opens with an exaggeration (“STATA expert”): this makes the point that this person is an expert and so can help with this question. Next,