a) Estimate an ordered probit model using the satisfaction variable as your dependent variable (depending on your choice), where satisfaction depends on number of children in the household, sex of the respondent and real annual household income.

b) Now add marital status, educational status, change in financial situation compared to last year, expectation about the financial situation for a year ahead and whether the respondent saves from current income, along with the set of explanatory variables that you have used in part a). Test whether the set of new explanatory variables are jointly significant or not in explaining your satisfaction variable.
c) Calculate the marginal effects with respect to real annual household income, change in financial situation compared to last year, expectation about the financial situation for a year ahead, and whether the respondent saves from current income.
a) Estimate an ordered logit model using the satisfaction variable as your dependent variable (depending on your choice), where satisfaction depends on sex of the respondent, real annual household income, change in financial situation compared to last year, expectation about the financial situation for a year ahead, and whether the respondent saves from current income, along with the dummy variable for one of the waves.

b) Test whether the assumption of parallel line is valid or not using a Brant test
c) Now add marital status, educational status, number of children in the household, along with the set of explanatory variables that you have used in part a).

a) Irrespective of the ordinal nature of the satisfaction variable, treat the variable as a continuous variable. Form a panel data-set where pid represents the cross-sectional unit and wave represents the time variable. Estimate a linear panel data random effects model using one of the satisfaction variables as your dependent variable (depending on your choice), where satisfaction depends on number of children in the household, sex of the respondent, real annual household income, marital status, educational status, change in financial situation compared to last year, expectation about the financial situation for a year ahead, and whether the respondent saves from current income.
b) Now estimate a linear panel data fixed effects model and perform a Hausman test in order to choose between random-effects and fixed-effects model.
c) Depending on your results in part b), select the model as indicated by the Hausman test.

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