We propose a new estimation methodology to address the presence of covariate measurement error by exploiting the availability of spatial data. The approach uses neighboring observations as repeated measurements, after suitably controlling for the random distance between the observations in a way...

Taking a simplified approach to statistics, this textbook teaches students the skills required to conduct and understand quantitative research. It provides basic mathematical instruction without compromising on analytical rigor, covering the essentials of research design; descriptive statistics;...

Chapter 1. Statistics and Empirical Research -- Chapter 2. From Disarray to Dataset -- Chapter 3. Univariate Data Analysis -- Chapter 4. Bivariate Association -- Chapter 5. Classical Measurement Theory -- Chapter 6. Calculating Probability -- Chapter 7. Random Variables and Probability...

Mathematical Signs and Symbols -- Logic -- Arithmetic -- Algebra -- Linear Algebra -- Combinatorics -- Financial Mathematics -- Optimisation of Linear Models -- Functions -- Differential Calculus -- Integral Calculus -- Elasticities -- Economic Functions -- The Peren Theorem - The Mathematical...

This book introduces modern series methods with a focus on applications in econometrics and statistics. It explores how new orthogonal series techniques can address challenges in model building and estimation, particularly for variables with unbounded support, nonparametric nonstationary data,...