Content of zip file containing the codes and data file for
the paper:

Bayesian inference for non-anonymous Growth Incidence Curves using Bernstein polynomials: an application to academic wage dynamics
by Edwin Fourrier and Michel Lubrano

Snde.csv: the final data base used in the paper. Names were removed for anonymity reasons.

Fig-Bernstein.r:
Contains the necessary material for comparing Bernstein smoothing and spline smoothing,
Figure 1 and small Monte Carlo experiment of section 2.4

Fig-na-GIC.r
Example 1: the impact of over-smoothing, section 2.5

Fig-k-search-na-GIC.r
Section 3.2: model comparison using different criterion

Michigan-wages-prob-snde.r
The code used for the empirical application on academic
wage dynamics. Comments inside the code with reference to
each section. 
