filmov
tv
Stata16: Estimate Panel Data Models using FGLS Technique
![preview_player](https://i.ytimg.com/vi/ktNUrYlYOXQ/hqdefault.jpg)
Показать описание
What is Feasible Generalised Least Squares (FGLS) Technique?
1) Controls for cross-sectional dependence, autocorrelation and heteroscedasticity.
2) Applicable to N less than T panel data structure – when the number of cross-sections is LESS than the time dimensions.
3) FGLS is a static panel data technique…suitable for long-run analysis.
Article available on my RG profile. Kindly make a request and I will send it to you.
Baseline model: 𝐥𝐧〖〖𝑪𝑶〗_𝟐〗_𝒊𝒕 = 𝜷_𝟎 + 𝜷_𝟏 〖𝐥𝐧𝑷𝑪〗_𝒊𝒕 + 𝜷_𝟐 〖𝑷𝑮𝑹〗_𝒊𝒕 + 𝜷_𝟑 〖𝑹𝑬𝑵〗_𝒊𝒕 + 𝜷_𝟒 〖𝑹𝑸〗_𝒊𝒕 + 𝜺_𝒊𝒕 [1]
Carbon emissions expressed as a linear function of per capita GDP, population growth, renewable energy and regulatory quality
FGLS Analytical Procedure:
1) Specify the model
2) Check for multicollinearity (perform correlation analysis)
3) Test for cross-sectional dependence* (Pesaran CD Test)
4) Perform unit root test (CIPS, CADF)
5) Test for cointegration (Westerlund Test)
6) Estimate the model (using PCSE)
CrunchEconometrix videos should be supported by relevant readings from econometrics textbooks, journal articles and other resources to properly harness the simplicity of the video tutorials.
Suggested References:
CrunchEconometrix videos should be supported by relevant readings from econometrics textbooks, journal articles and other resources to properly harness the simplicity of the video tutorials.
1) Controls for cross-sectional dependence, autocorrelation and heteroscedasticity.
2) Applicable to N less than T panel data structure – when the number of cross-sections is LESS than the time dimensions.
3) FGLS is a static panel data technique…suitable for long-run analysis.
Article available on my RG profile. Kindly make a request and I will send it to you.
Baseline model: 𝐥𝐧〖〖𝑪𝑶〗_𝟐〗_𝒊𝒕 = 𝜷_𝟎 + 𝜷_𝟏 〖𝐥𝐧𝑷𝑪〗_𝒊𝒕 + 𝜷_𝟐 〖𝑷𝑮𝑹〗_𝒊𝒕 + 𝜷_𝟑 〖𝑹𝑬𝑵〗_𝒊𝒕 + 𝜷_𝟒 〖𝑹𝑸〗_𝒊𝒕 + 𝜺_𝒊𝒕 [1]
Carbon emissions expressed as a linear function of per capita GDP, population growth, renewable energy and regulatory quality
FGLS Analytical Procedure:
1) Specify the model
2) Check for multicollinearity (perform correlation analysis)
3) Test for cross-sectional dependence* (Pesaran CD Test)
4) Perform unit root test (CIPS, CADF)
5) Test for cointegration (Westerlund Test)
6) Estimate the model (using PCSE)
CrunchEconometrix videos should be supported by relevant readings from econometrics textbooks, journal articles and other resources to properly harness the simplicity of the video tutorials.
Suggested References:
CrunchEconometrix videos should be supported by relevant readings from econometrics textbooks, journal articles and other resources to properly harness the simplicity of the video tutorials.
Комментарии