STATS 499 Lecture Notes - Lecture 7: Dependent And Independent Variables, Cluster Sampling, Feature Selection
Document Summary
The article wants to discuss about the trend of age at marriage. The researchers mainly focus on different continents, and there are five observations by continents: Dependent variables that gauge the marriage patterns across the countries: The female marriage prevalence at ages 20-24 (proportion of ever-married female aged. The article talked about two models: ordinary-least-squares (ols) regression + spatial regression analyses. Availability ratio = (number of males age 15-40)/(number of females age 15-40) Lower healthcare quality -> marry and also marry sooner. Larger female advantage -> later marriages and smaller differences in mean ages at marriage. Variable: number females/100 males enrolled in the third level (education) Rerun the same proposed analysis with the new data. Combine all of the data and create a spatial-temporal model. Group the points based on location, take their differences, and run a similar analysis as the one proposed.
