The article introduces new tests to check if certain key aspects of a random coefficient model are accurate, like linearity in coefficients or randomness of coefficients. These tests are nonparametric and use sieve estimators. The researchers conducted power analysis and simulations, finding some evidence against a popular model but not enough to reject it completely.