STATA application and interpretation
EconoMind, The Numbers Behind the Economy |
31 videos |
Updated 1 year ago
This course provides a comprehensive introduction to STATA, a powerful statistical software widely used in various fields such as economics, sociology, political science, and public health. The course focuses on the practical application of STATA, covering data management, statistical analysis, and interpretation of results. Students will learn how to perform a range of statistical tests, create meaningful visualizations, and draw valid conclusions from their data. Through hands-on exercises and real-world examples, students will develop the skills necessary to effectively use STATA for their research and professional needs.
#Economics Explain, #Economics101, #EconomicsLecture, #EconomicsIntroduction, #Money, #Inflation, #InterestRate, #GDP, #GNP, #HDI, #NHDI, #Theories, #Supply, #Demand, #Market, #Equilibrium, #Development, #Unemployment, #LorenzCurve, #Gini, #GiniCoefficient, #Inequality, #Poverty, #IncomeInequality, #MPL, #HumanDevelopmentIndex, #DevelopmentEconomics, #Divergence, #Convergence, #Malthus, #Population, #EconomicGrowth, #EconomicDevelopment, #BrainDrain, #DevelopedCountries, #UnderDevelopedCountries, #Aid, #debt
Testing,
Hypothesis,
#developmenteconomics
#economics
#microeconomics
#macroeconomics
#eviews
#regressionanalysis
Economics Explain,
Economics 101,
Economics lecture,
Economics introduction,
Money,
Inflation,
Interest rate,
GDP,
GNP,
HDI,
Cost,
Theories,
Supply,
Demand,
Market,
Equilibrium,
Regression,
Analysis,
Eviews,
unitroot,
Multicollenarity,
Autocorellation
Heterosadicity,
ARDL,
Autoregressivedistributedlagged
Cointegration,
Time series analysis
Panel data analysis
unit root test
stationarity
ADF test
Regression
Rsquare
R-square
Eviews
E-views
Multicollinearity
Auto
Autocorrelation
Dummy
Dummy variable
Model
Heteroscedastic
serial correlation
LM test
BP test
Null hypothesis
Alternative Hypothesis
Cointegration analysis
Johansen
ARDL
atuoregressivedistriubtedlaggedmodel
Auto regressive Distributed Lagged Model
VAR
Vector error correction model
ECM
Error correction model
Error correction term
Speed of adjustment
level of significance
unitroottest
Impluseresponcefunction
Impulse response function
level
first difference
first-difference
firstdifference
GMM
Generalised method of movement
lag
OLS
ordinary least square
ordinaryleastsquare
VECM
cross section
cross sectional data
IRF
granger casualty test
ARMA
ARIMA
second difference
seconddifference
ARCH
GARCH
Estimation
Estimate
data
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