{"product_id":"introduction-to-spatial-econometrics","title":"Introduction to Spatial Econometrics","description":"\u003cp\u003eAlthough interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, \u003cstrong\u003eIntroduction to Spatial Econometrics\u003c\/strong\u003e presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. It explores a wide range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different circumstances.\u003c\/p\u003e\u003cp\u003eLeaders in this field, the authors clarify the often-mystifying phenomenon of simultaneous spatial dependence. By presenting new methods, they help with the interpretation of spatial regression models, especially ones that include spatial lags of the dependent variable. The authors also examine the relationship between spatiotemporal processes and long-run equilibrium states that are characterized by simultaneous spatial dependence. MATLAB® toolboxes useful for spatial econometric estimation are available on the authors’ websites.\u003c\/p\u003e\u003cp\u003eThis work covers spatial econometric modeling as well as numerous applied illustrations of the methods. It encompasses many recent advances in spatial econometric models—including some previously unpublished results. \u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":54239722602840,"sku":"9781420064247","price":137.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781420064247.jpg?v=1777607120","url":"https:\/\/agendabookshop.com\/products\/introduction-to-spatial-econometrics","provider":"Agenda Bookshop","version":"1.0","type":"link"}