Econometric Modeling for Subjective Outcomes

Critique the OLS assumptions (e.g., linearity, homoscedasticity) when modeling ordinal sexiness ratings, and apply appropriate diagnostic tests.

Apply ARIMA to forecast cyclical patterns in the hotwife's desire and encounter frequency, and interpret the model's components (AR, I, MA).

Design an instrumental variable strategy to estimate the causal effect of a specific outfit choice on perceived sexiness, while controlling for the confounding effect of model confidence.

Apply the Generalized Method of Moments (GMM) to estimate a structural model of the hotwife's intimacy satisfaction, from formulation of moment conditions to interpretation of results.