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...

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,...

"The Routledge Handbook of Causality and Causal Methods adopts a pluralistic, interdisciplinary approach to causality. It formulates distinct questions and problems of causality as they arise across scientific and policy fields. Exploring, in a comparative way, how these questions and problems...

Evaluation and Forecasting of Stock Performance on Athens Stock Exchange An Empirical Approach -- Forecasting International Tourist Arrivals to Myanmar During ongoing Military Coup Period Bayesian Structural Time Series -- Defense Spending and Income Inequality New Evidence from Greece -- The...

Skewness is a prevalent feature of macroeconomic time series and may arise exogenously because shocks are asymmetrically distributed, or endogenously, as shocks propagate through production networks. Previous theoretical work often studies these two possibilities in isolation. We nest all...

Choice under Uncertainty -- Modern Portfolio Theory -- The Capital Asset Pricing Model -- Empirical Analysis of the CAPM -- The Consumption CAPM -- Arbitrage Pricing Theory and Multi-factor Models -- Empirical Cross-Sectional Asset Pricing -- The Black-Litterman Model -- Event-Study Analysis.