| Library: | panel |
| See also: | panfix panrand panhaus |
| Quantlet: | pantime | |
| Description: | subtracts the mean of period t from the model variables to account for fixed time effects. |
| Usage: | y = pantime(z{, T}) | |
| Input: | ||
| z | NT x {2+}k matrix of panel data. First column: identification number for cross section units (optional), Second column: dependent variable, Further columns: explanatory variables | |
| T | scalar, number of time periods for a BALANCED data set. (for a data set with the same T for all individuals = BALANCED PANEL) | |
| Output: | ||
| y | NT x {2+}k matrix of data with deviations of the time mean | |
library("panel")
z=read("earnings")
y=pantime(z)
y
Contents of y [ 1,] 1 1 -905.26 -2.26 -0.93 0.66 [ 2,] 1 2 -1114.6 -2.26 -0.93 0.66 [ 3,] 1 3 -1195.2 -2.25 -0.94 0.66 [ 4,] 1 4 -725.72 -2.24 -0.95 0.66 [ 5,] 1 5 -1196.3 -2.24 -0.95 0.66 [ 6,] 2 1 -655.26 -3.26 3.07 -0.34 [ 7,] 2 2 385.35 -3.26 3.07 -0.34 [ 8,] 2 3 104.77 -3.25 3.06 -0.34 [ 9,] 2 4 74.28 -3.24 3.05 -0.34 [ 10,] 2 5 1169.7 -3.24 3.05 -0.34 [ 11,] 3 1 -905.26 0.74 -0.93 0.66 [ 12,] 3 2 -1714.6 0.74 -0.93 0.66 ...