Tomkaandorp

Complete course summary for Econometrics 1 at UvA covering OLS in simple and matrix form, Gauss–Markov theorem, inference, asymptotics, heteroskedasticity, instrumental variables, GMM, maximum likelihood, and discrete choice models. The document includes three parts: detailed lecture notes with key derivations, exam checklists and decision tables, and original practice exercises with full solutions ranging from computational to proof questions. Ideal for exam preparation with marked key result...

Complete course summary for Econometrics 2 at Universiteit van Amsterdam covering all six weeks of advanced econometric methods. Topics include endogeneity and instrumental variables, GMM, maximum likelihood estimation, binary and multinomial choice models, ordered choice, and truncation/censoring/sample selection models. Features lecture notes with derivations, step-by-step solution guides, fully worked exercises with numbers, and practice questions with answer key—structured to support both ...

Complete course summary for Probability Theory and Statistics 2 at Universiteit van Amsterdam, covering multivariate distributions, transformations, sampling distributions, estimation, confidence intervals, and hypothesis testing (Chapters 5–8). Includes lecture notes with worked examples, step-by-step solution guides organized by topic, and exam-style practice questions separated into midterm (Chapters 5–6) and final (Chapters 7–8) sets. Essential study resource that saves time with struc...

Complete course summary for Mathematics 1: Calculus at Universiteit van Amsterdam, covering foundations, limits, differentiation, and integration with lecture notes and worked examples. Topics include logic and inequalities, functions and sequences, differentiation rules and applications, integration techniques (substitution, parts, partial fractions), and curve sketching. Features step-by-step solution guides, quick-reference templates, and additional exam exercises—ideal for mastering calcul...

UvA BSc Econometrics and Data Science – Year 2 - Period 1 | Complete Summary Bundle

Complete course summary for Mathematics 3: Advanced Linear Algebra at Universiteit van Amsterdam, covering orthogonality, least squares, diagonalization, complex eigenvalues, the spectral theorem, quadratic forms, and singular value decomposition. The document includes detailed lecture notes with step-by-step solution guides, worked exam exercises, and quick-reference guides for all major topics. Ideal for exam preparation and consolidating understanding of advanced linear algebra concepts—org...

Summary - Life Insurance Mathematics (6012B0350Y)

Summary Financial Econometrics

Complete course summary for Time Series Analysis at Universiteit van Amsterdam, covering lecture notes, tutorials, and worked exam exercises across all major topics. The document includes ARMA models, ARCH/GARCH volatility models, trend and seasonality analysis, nonlinear models, structural breaks, VAR, cointegration, and forecast methods. Ideal for exam preparation and revision—well-organized by week with theoretical foundations, practical derivations, and key testing procedures like Dickey-F...

Complete course summary for Advanced Econometrics 2 at the University of Amsterdam, covering three major topics: the bootstrap with theory and refinements, weak instruments and linear IV regression, and panel data models both static and dynamic. The document includes lecture notes, detailed tutorials, and worked exam exercises that walk through practical applications of each method. This resource is invaluable for exam preparation and understanding complex econometric techniques, with comprehens...

Summary Advanced Econometrics 1 including the theory summary and answers to some tutorial exercises.

Complete summary bundle for Period 1 of the MSc Econometrics at the University of Amsterdam. Includes clear and structured summaries for all Period 1 courses, with key theory, formulas, step-by-step methods and relevant exercises. Designed for efficient exam preparation. All summaries are written in English and can also be purchased separately.

Complete course summary for Data Science Methods at Universiteit van Amsterdam, covering Python fundamentals, model evaluation, regularization, dimensionality reduction, classification, clustering, and Bayesian updating. The document includes lecture notes, tutorials, worked exam exercises, and a quick-reference guide spanning core topics from Python basics (lists, dictionaries, NumPy, Pandas) through advanced techniques like PCA, logistic regression, LDA, and model averaging. Ideal for exam pre...

Theory of Markets Complete Course Summary Microeconomic Theory: Competitive Markets, Welfare Theorems, Externalities & Public Goods, Market Power, General Equilibrium, Uncertainty & Asset Markets, and Strategic Market Interaction