{ "item_title" : "Macroeconomic Forecasting in the Era of Big Data", "item_author" : [" Peter Fuleky "], "item_description" : "This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/031/149/303031149X_b.jpg", "price_data" : { "retail_price" : "329.99", "online_price" : "329.99", "our_price" : "329.99", "club_price" : "329.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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