A Bayesian Vector Autoregresive Model of the U.S. Dairy Industry: A Price Forecasting Model
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A Bayesian Vector Autoregresive Model of the U.S. Dairy Industry: A Price Forecasting Model

by Krassimir Petrov

Economics Agriculture academic
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This study presents a Bayesian vector autoregressive model for the U.S. dairy industry. Focusing on price forecasting, it connects Bayesian statistical methods with econometric analysis and agricultural markets, offering a specialized perspective on quantitative modeling in the dairy sector.

About This Book

This book examines a Bayesian vector autoregressive model designed for analysis of the U.S. dairy industry.

Its central focus is price forecasting, using a quantitative framework to study relationships among economic variables.

The subject combines econometric modeling, Bayesian methods, and agricultural market analysis.

It is suited to readers interested in forecasting models and the application of statistical methods to dairy-industry economics.

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