Fake Data for a Time-Series Cross-Section

This is a toy (i.e. "fake") data set created by the fabricatr package. There are 100 observations for 25 hypothetical countries. The outcome y is a linear function of a baseline for each hypothetical country, plus a yearly growth trend as well as varying growth errors for each country. x1 is supposed to have a linear effect of .5 on y, all things considered. x2 is supposed to have a linear effect of 1 on y for each unit change in x2, all things considered.

Usage

fakeTSCS

Format

A data frame with 2500 observations on the following 8 variables.

year

a numeric vector for the year

country

a character vector for the country

y

a numeric vector for the outcome.

x1

a continuous variable

x2

a binary variable

base

a numeric vector for the baseline starting point for each country

growth_units

a numeric vector for the growth units for each country

growth_error

a numeric vector for the growth errors for each country

Details

x1 is generated by a normal distribution with a mean of 5 and a standard deviation of 2. x2 is drawn from a Bernoulli distribution with a probability of .5 of observing a 1.