Our forthcoming book, "Econometric Modeling: Achieving BLUE Status through Housing Case Studies," provides the essential, step-by-step methodology required for students, quantitative analysts, and economists to construct, validate, and defend statistical models that adhere to the highest standards of econometric theory—specifically, the Best Linear Unbiased Estimator (BLUE).
This book is dedicated to bridging the gap
between OLS theory and practical, high-stakes empirical analysis. Comprising
eleven comprehensive chapters, the book progresses through the following core
stages:
Part I: Establishing the Foundation (BLUE
Methodology)
We begin by establishing the mathematical and
operational defense of Ordinary Least Squares (OLS) regression as the optimal
tool for linear estimation. This section introduces a systematic framework for
rigorous data preparation, including the Two-Pass Methodology for outlier
removal and error distribution normalization, and a critical approach to
variable selection that structurally safeguards the model against pervasive
issues like Omitted Variable Bias (OVB) and Multicollinearity.
Part II: Advanced Coding and Coefficient
Generation
The core of the methodology is demonstrated
through the systematic application of advanced categorical coding
techniques—including Dummy, Effect, One-Hot, and Ordinal Coding. We show how
these techniques are meticulously applied to generate clear, statistically
significant, and explicit dollar coefficients for both continuous and discrete
attributes, while maintaining the model's linearity and maximizing explanatory
power.
Part III: Validation, Application, and
Compliance
The final chapters transition from estimation
to proof. We provide rigorous diagnostics to confirm adherence to the core OLS
assumptions (Homoscedasticity and Normality) and establish external validity by
demonstrating that the sales sample is a precise microcosm of the larger
population. The book concludes by demonstrating the model's application—from
top-down (population-level) performance metrics to the creation of bottom-up,
objective valuation grids—ensuring that the final derived coefficients are
fully validated and compliant with the BLUE requirements.
This text is a crucial resource
for any analyst or technician seeking to move beyond simple regression and
master the creation of statistically defensible, unbiased econometric models.
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