POL SCI 3 Lecture Notes - Lecture 3: Time Series
Document Summary
Cross-sectional (xs: data is gathered at one point in time, example: Rate of college education is positively correlated with the rate of smart phone ownership (?) As one goes up, the other goes up. Panel (pan: gather data for a different moment in time, different times are called waves. First wave chart then second wave chart and so on: often a lot of cases but not too many waves, going back to the same entities, same with cross-sectional data just at multiple times periods. Time series (ts: cases are temporal units / time units. Maybe years, months, days, nanoseconds: variables are attributes of temporal units. Usually attributes of temporal units for some entity. Entity could be the united states (?) Could be the amount of people in connecticut who own a smart phone (monthly) How much press is hillary getting? (daily: entity whose attributes over time are collected into a time series data set.
