Econometría I

Grado en Economía and Grado en ADE — Universidad de Granada

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A second-year undergraduate course that walks students from the idea of an econometric model to the practical estimation, inference, and diagnostic skills required to analyse real economic data. Taught in English with R.

Chapter template

Each topic follows the same six-section structure:

  1. Learning outcomes — explicit objectives
  2. Motivating empirical question — a real-world question the topic answers
  3. Theory — concepts, derivations, key results
  4. Worked example in R — full code walked through step by step
  5. Self-check — interactive quiz
  6. Exercises — graded ★ easy · ★★ medium · ★★★ analytical

Topics

  1. Initial Concepts. What econometrics is; correlation vs causation; randomisation and quasi-experimental designs; cross-section, time series, panel and pooled data; basic exploratory analysis in R.

  2. The Simple Linear Regression Model. OLS derivation; Gauss–Markov assumptions; unbiasedness; the BLUE property; \(R^2\); lm() in R.

  3. The Multiple Linear Regression Model. Matrix form; ceteris paribus interpretation; MLR.1–MLR.5; omitted-variable bias; adjusted \(R^2\).

  4. Inference. Classical Linear Model assumptions; sampling distributions of \(\hat{\beta}_j\); \(t\)-tests; confidence intervals; \(F\)-tests for joint significance; \(p\)-values.

  5. Prediction and Model Selection. Point and interval prediction; in-sample vs out-of-sample performance; model-selection criteria.

  6. Nonlinear Relationships and Qualitative Information. Logarithms, polynomials, and interactions; dummy variables and dummy–continuous interactions.

  7. Heteroskedasticity. Detection (Breusch–Pagan, White); consequences for inference; heteroskedasticity-robust standard errors; weighted least squares.

  8. Autocorrelation. Time-series complications; Durbin–Watson; Newey–West standard errors.

Appendices — mathematical and statistical prerequisites · Wooldridge ↔︎ Carter–Griffiths–Lim crosswalk · statistical tables.

Course logistics

  • Programme. Grado en Economía · Grado en Administración y Dirección de Empresas
  • Level. Second-year undergraduate
  • Language of instruction. English
  • Software. R via RStudio
  • Reference textbook. Wooldridge, Introductory Econometrics: A Modern Approach (latest edition), cross-referenced with Carter, Griffiths, Lim, Principles of Econometrics, 5th edition.
  • Assessment. Continuous assessment (practicals and quizzes) plus a final exam.