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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 volume explores the theoretical and practical aspects of detailed econometric theories and applications within economics, policymaking, and finance. The book covers various topics such as dynamic stochastic general equilibrium (DSGE) models, machine learning, spatial econometrics, and time series analysis.
This book is a useful resource for economists, policymakers, financial analysts, researchers, academicians, and graduate students seeking research on the various applications of econometrics.
Evaluating DSGE Models: From Calibration to Cointegration
A Primer on Machine Learning Methods for Credit Rating Modeling
Forecasting Weekly Shipments of Hass Avocados from Mexico to the United States Using Econometric and Vector Autoregression Models
Spatiotemporal Difference-in-Differences: A Dynamic Mechanism of Socio-Economic Evaluation
The Impact of Inflation Expectations and Public Debt on Taxation in South Africa
Incorporating Model Uncertainty in Market Response Models with Multiple Endogenous Variables by Bayesian Model Averaging