READ ME File For 'Dataset in support of the Southampton doctoral thesis 'Essays on quantitative macroeconomics and international finance'

Dataset DOI: https://doi.org/10.5258/SOTON/D2601

ReadMe Author: Chen Huang, University of Southampton ORCID ID: 0000-0002-8919-0044

This dataset supports the thesis entitled: Essays on quantitative macroeconomics and international finance
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: [2023]

DESCRIPTION OF THE DATA
[This should include a detailed description of the data, how it was collected/created, any specialist software needed to view the data]

This dataset contains: three separate files, which include chapter 2, chapter 3, and chapter 4. In chapter 2, the data file format is xxx.dta, which has to be loaded by Stata, 
and I also provide the do files to help run the codes and read the data. In chapter 3, one need use MATLAB to open the files and conduct the simulation experiment, one should first run 'main'
and then have other quantitative analysis, in chapter 4, one needs to use MATLAB to open the files, one should first run "Chen_Main_Tau" file and then the corresponding results will be generated.

The dataset contains all data and programming code used in the paper writing, which comes from Chinese population census data, China City Statistical Yearbook, China Household Income Projects.
There is no specific grant and funders that need to be declared.

There is no ethical approval need to be done as all dataset comes from public institutions.



Date of data collection: [2019 to 2022]

Information about geographic location of data collection: 

Licence:
[N\A]

Related projects/Funders:
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Related publication:
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Date that the file was created: 05, 2023

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