{"product_id":"economic-forecasting-9780691140131","title":"Economic Forecasting","description":"\u003cp\u003e\u003cb\u003eA comprehensive and integrated approach to economic forecasting problems\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eEconomic forecasting involves choosing simple yet robust models to best approximate highly complex and evolving data-generating processes. This poses unique challenges for researchers in a host of practical forecasting situations, from forecasting budget deficits and assessing financial risk to predicting inflation and stock market returns. \u003ci\u003eEconomic Forecasting\u003c\/i\u003e presents a comprehensive, unified approach to assessing the costs and benefits of different methods currently available to forecasters.\u003cbr\u003e\u003cbr\u003eThis text approaches forecasting problems from the perspective of decision theory and estimation, and demonstrates the profound implications of this approach for how we understand variable selection, estimation, and combination methods for forecasting models, and how we evaluate the resulting forecasts. Both Bayesian and non-Bayesian methods are covered in depth, as are a range of cutting-edge techniques for producing point, interval, and density forecasts. The book features detailed presentations and empirical examples of a range of forecasting methods and shows how to generate forecasts in the presence of large-dimensional sets of predictor variables. The authors pay special attention to how estimation error, model uncertainty, and model instability affect forecasting performance.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePresents a comprehensive and integrated approach to assessing the strengths and weaknesses of different forecasting methods\u003c\/li\u003e\n\u003cli\u003eApproaches forecasting from a decision theoretic and estimation perspective\u003c\/li\u003e\n\u003cli\u003eCovers Bayesian modeling, including methods for generating density forecasts\u003c\/li\u003e\n\u003cli\u003eDiscusses model selection methods as well as forecast combinations\u003c\/li\u003e\n\u003cli\u003eCovers a large range of nonlinear prediction models, including regime switching models, threshold autoregressions, and models with time-varying volatility\u003c\/li\u003e\n\u003cli\u003eFeatures numerous empirical examples\u003c\/li\u003e\n\u003cli\u003eExamines the latest advances in forecast evaluation\u003c\/li\u003e\n\u003cli\u003eEssential for practitioners and students alike\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Graham Elliott","offers":[{"title":"Default Title","offer_id":42955791204470,"sku":"9780691140131","price":99.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0671\/1374\/6550\/files\/CoreSourceHub_a91fb5b5-0bed-43ba-a61c-54f36bbf13ed.jpg?v=1767699677","url":"https:\/\/ingramacademic.com\/products\/economic-forecasting-9780691140131","provider":"Ingram Academic \u0026 Professional","version":"1.0","type":"link"}