Type: xtreg ANS FDIENT FDICAP FDIAST FDIEMP FDICOM FDIWAG FDITUR FDIGDP FDIROTC FDIROFA FDIROS Size GDPgrowth, fe. In this case, “Id” represents the entities that is Vietnam provinces and “Year” represents the time variable t.Īs the panel data has been handled, we can now run the fixed-effects model by using the Stata command xtreg with dependent variable ANS and 13 variables, including 11 independent ones and 2 control variables in our panel data.
Or you can click this command on the Stata’s Menu by avoiding typing errors. Note that Stata distinguishes capital letters, so you must type exactly the variable name. The Stata command to run fixed/random effects is xtreg.īefore using xtreg you need to set Stata to handle panel data by using the command xtset. So, we go into the second step of the Process of choosing regression model for panel data, in which we perform both fixed effects and random effects regressions by using Stata. Now, we apply the process of selecting the regression model for panel data (between Pooled OLS Model, Random-Effects Model and Fixed-Effects Model) of Dougherty (2011) for our panel data of Vietnam provinces in period from 2010 to 2016.įor the first step, our sample can be considered as random sample because of our choice in time-span and FDI sector at provincial level in Vietnam. And, 2 control variables are size and economic growth of province. In total, we have 11 independent variables that are distinguished in three groups, including: 3 variables associated with the FDI inflow stocks 5 variables associated with the employment in FDI sector, and 3 variables associated with the performance of FDI in provinces. Here are the variables of our research in which Dependent variable is the adjusted net savings that assess the sustainable development of Vietnam provinces. The objective of our research aims to study the relationship between foreign direct investment (FDI) and sustainability at provincial level in a developing host country as Vietnam for the period between the years of 20. If not, Stata will count as another thing or ignore it. Note that you should make attention for assuring that all data of one thing such as one entity are coded exactly the same.
#Regress if stata code#
In this sample, “id” represents the entities as Vietnam provinces that we code them in number and “year” represents the time variable (t). These data were collected from the statistical yearbooks of Vietnam’s provinces during the period from 2010 to 2016 then cleaned by eliminating some missing-data provinces and year-observations.
#Regress if stata download#
Our panel data used in this article, that you can download here in Stata datasheet or Excel data, includes 434 year-observations of 62 provinces as entities of our sample each province has 7 year-observations. You can see the theoretical difference of regression models with Panel data (fixed-effects, random-effects, and pooled OLS) in the previous article.
#Regress if stata how to#
We will show you how to perform step by step on our panel data, from which we published the results in our article on Sustainability review in 2019 (see Nguyen Hoang Viet, Phan Thanh Tu and Lobo Antonio, 2019). )/Contents(See "instructions" on the MC3 course page.This article introduces the practical process of choosing Fixed-Effects, Random-Effects or Pooled OLS Models in Panel data analysis. See "instructions" on the MC3 course page.
0 kommentar(er)
