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1. Introduce the topic and ask the main questions of interest.
The first few paragraphs of the experiment report should give an interesting description of the topic. The introductory part of the research project should consist of the following two parts (in order):
1. Theme description;
2. A description of the method.
2. Review the existing literature.
Other researchers may have already looked at the relevant topic, so a section of the report should review other studies on the topic.
3. Describe the conceptual or theoretical framework.
Applied research in econometrics differs from statistical analysis in that one of its characteristics is the theoretical structure that underpins empirical work.
4. Explain econometric models.
After developing the theoretical structure of the model, students need to relate it to experience, methods (i.e., statistical analysis and observational methods), which are formally known as econometric models.
5. Discuss estimation methods.
Because estimation usually assumes that certain statistical conditions are true, going from econometric model to estimation may not be entirely straightforward.
6. Describe the data in detail.
A detailed description of the data used. To solve these problems:
1. How the dataset was obtained and how it was obtained;
2. The nature of the data;
3. The time range of data coverage;
4. The manner and frequency of data collection;
5. Observed results;
6. Sinks (mean, standard deviation, etc.) of any variable used in econometric models.
7. Explain the results of the report.
The reader may not know much about the specifications of the econometric model, the size of the variables, and other relevant information, so students need to provide the reader with explanations accordingly.
8. Summarize what you have learned.
The conclusions of the research project should synthesize the results and explain how they relate to the main issues reported.
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This question is so abstract.,The learning attitude is not very correct.。。。 The first part, the basic operation of eviews, ** or something too much! The biggest advantage of eviews is that it is mainly based on buttons, and there is no need to enter a lot of statements, so it is much simpler than matlab, stata, and spss!
The second part, the following sample text, the key word is "quantitative empirical analysis", many articles of various levels, you can find a gourd to imitate the framework of the article. In the third part, if you want to do a good job in measurement experiments, you must honestly understand the principles of textbooks. Come on!
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Although this is not difficult, it is a lot of work, and no one will give it to you for free, so I don't believe you can try it yourself.
I often help others do this kind of data analysis, and I am familiar with these problems.
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I have a copy, I wrote it myself, I don't know if it's still here?
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You have to provide the data before you can do the analysis and then you can come up with the report.
The whole process will take a few weeks, and who will have nothing to do for you.
I often help others do this kind of statistical analysis.
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Indeed, you don't have any data, no purpose, no model--
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eViews is currently one of the most popular econometric software in the world. It has six functions: data processing, graphing, statistical analysis, modeling analysis, and simulation, and is easy to learn and understand, and easy to operate. This book mainly introduces the use of eViews software.
The book is divided into 19 chapters, including basic functions, data processing, graphing and statistics, linear models, nonlinear models, time series models, discrete variable models, and some newly developed analysis tools such as conditional heteroskedasticity models, panel data models, and vector autoregressive models.
This book will provide a powerful tool for those engaged in the field of economics to process data and analyze models, and will play a certain role in improving the teaching level of econometrics and the ability to deal with practical problems.
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Econometric Analysis and Modeling: Applications and Examples of eViews (2nd Edition) appropriately dilutes the mathematical description, aims to clarify the methods and ideas, does not do a lot of derivation and proof, and focuses on how to use various econometric methods to analyze, model, simulate, and simulate practical operations on practical economic problems. Econometric Analysis Methods and Modeling:
Most of the practical cases in eViews Applications and Examples (2nd Edition) are examples used by the author in practice and classic examples at home and abroad, and the practical applications are introduced based on the eViews software, which has strong operability.
Econometric Analysis Methods and Modeling: Applications and Examples of eViews (2nd Edition) can be used as a textbook for undergraduate and graduate students, as well as a reference book for those engaged in quantitative analysis in the fields of economics, statistics, and finance.
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