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

Dataset in support of the Southampton doctoral thesis 'Essays on quantitative macroeconomics and international finance'
Dataset in support of the Southampton doctoral thesis 'Essays on quantitative macroeconomics and international finance'
This is a replication dataset for my doctoral thesis, the 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.
University of Southampton
Huang, Chen
e807ff5e-723c-4bda-a14d-1542a238d7fa
Huang, Chen
e807ff5e-723c-4bda-a14d-1542a238d7fa

Huang, Chen (2023) Dataset in support of the Southampton doctoral thesis 'Essays on quantitative macroeconomics and international finance'. University of Southampton doi:10.5258/SOTON/D2601 [Dataset]

Record type: Dataset

Abstract

This is a replication dataset for my doctoral thesis, the 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.

Archive
Data.zip - Dataset
Available under License Creative Commons Attribution.
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Text
thesis_readme_Huang.txt - Dataset
Available under License Creative Commons Attribution.
Download (1kB)

More information

Published date: May 2023
Related URLs:

Identifiers

Local EPrints ID: 476767
URI: http://eprints.soton.ac.uk/id/eprint/476767
DOI: doi:10.5258/SOTON/D2601
PURE UUID: 4523f2f9-a9b7-4388-b914-1ccac9d749d5
ORCID for Chen Huang: ORCID iD orcid.org/0000-0002-8919-0044

Catalogue record

Date deposited: 15 May 2023 16:38
Last modified: 17 May 2023 01:52

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Contributors

Creator: Chen Huang ORCID iD

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