c). You want to write a simple model to understand some of the determinants of the likelihood of getting unemployed during an upcoming economic recession. Assume you have the following information about a random sample of 150 individuals: age and number of years of education (continuous variables), gender (=1 if female, =0 otherwise), and the type of contract (=1 if full-time, =0 if part-time). c1) What model would you estimate to capture possible nonlinearities better than the linear approach binary models? Briefly discuss the relative advantage and/or disadvantage of using a nonlinear vs. a linear function to model the conditional probability function of a binary dependent variable. Please keep the explanation concise and related to point. c2) How would you go about interpreting the resulting output when using the model specified in c1) above? Describe both the continuous and binary explanatory variables. c3) Do you have any concerns estimating the model in c1) with the sample you have? Explain why or why not. (4p) c4) What summary statistics should be included? (Note: no need to write down the formulas)