Determinants of HDI individual Report
● Write a 3000-word report analyze determinants of the Human Development Index (HDI) for a sample of countries, including reviewing academic literature, running multiple regressions, interpreting results, testing hypotheses, and proposing policy recommendations
Suggested Structure:
II. Part 2: Initial estimation
III. Part 3: Interpretation
IV. Part 4: Further Estimation
V. Part 5: Conclusion
A statistical method used to estimate the relationship between a dependent variable and one or more independent variables based on observed data.
A regression model with one independent variable used to estimate its linear effect on a continuous dependent variable. It takes the form:
Y = β0 + β1X + ε
Where Y is the dependent variable, X is the single independent variable, β0 is the intercept, β1 is the slope coefficient on X, and ε is the error term.
A regression model with two or more independent variables used to estimate their linear effects on a continuous dependent variable. It takes the form:
Y = β0 + β1X1 + β2X2 + ... + βnXn + ε
Where Y is the dependent variable, X1 to Xn are the multiple independent variables, β0 is the intercept, β1 to βn are the slope coefficients, and ε is the error term.
The estimated parameter values from a regression model that quantify the effect of each independent variable on the dependent variable.
A measure indicating whether a regression coefficient or test result is unlikely to have occurred by chance, determined by the p-value and significance level chosen.
Goodness-of-fit - Statistics like R-squared that indicate how well a regression model fits and explains the variation in the dependent variable based on the predictors.
The use of sample data to determine whether to reject a hypothesis about a population parameter at a specified significance level based on statistical evidence.
A measure of central tendency calculated as the sum of all values divided by the number of values in a sample or population distribution.
The conventional structure for presenting regression results including coefficient estimates, standard errors, and diagnostic statistics.
A statement of no statistical significance or effect that is tested and either supported or rejected based on evidence from a sample.
A common method for estimating the coefficients in a linear regression model by minimizing the sum of squared residuals.
A modified version of R-squared that accounts for the number of predictors in the model. Used to assess goodness-of-fit.
A statistical test used to determine if the regression model as a whole has a statistically significant relationship with the dependent variable.
The probability threshold used to determine statistical significance, most commonly 0.01, 0.05 or 0.10.
A binary categorical variable coded as 1 or 0 used to represent a qualitative characteristic
A variable created by multiplying two predictors to estimate their combined effect and test moderation effects.
A statistical test used to determine if a regression coefficient is significantly different from zero based on its t-statistic.
- Search Google Scholar, EconLit, JSTOR for recent papers on "determinants of human development index", "drivers of HDI", "HDI empirical analysis" etc.
- Scan articles to identify key variables examined that influence HDI.
- Briefly summarize the main variables and expected relationships found in each paper.
Examples:
Lee (2022) found higher health expenditures and education levels positively affected HDI across developing countries.
- Compile a list of determinants frequently found to impact HDI based on reviewing 3-5 articles.
- Consider how these align with variables available in your dataset.
- Select 4-6 potential predictors to focus on in your analysis based on data availability and consistency in the literature.
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