This volume explores the theoretical and practical aspects of detailed econometric theories and applications within economics, policymaking, and finance. This book is a useful resource for economists, policymakers, financial analysts, researchers, academicians, and graduate students seeking research on the various applications of econometrics. Econometrics uses statistical methods and real-world data to predict and establish specific trends. This analytical method sustains limitless potential, but the necessary research for professionals to understand and implement this is often lacking. This book covers various topics such as dynamic stochastic general equilibrium (DSGE) models, machine learning, spatial econometrics, and time series analysis. 1. Evaluating DSGE Models: From Calibration to Cointegration2. A Primer on Machine Learning Methods for Credit Rating Modeling3. Forecasting Weekly Shipments of Hass Avocados from Mexico to the United States Using Econometric and Vector Autoregression Models4. Spatiotemporal Difference-in-Differences: A Dynamic Mechanism of Socio-Economic Evaluation5. The Impact of Inflation Expectations and Public Debt on Taxation in South Africa6. Incorporating Model Uncertainty in Market Response Models with Multiple Endogenous Variables by Bayesian Model AveragingMore :
