{"product_id":"introduction-to-spatial-econometrics-9781032477749","title":"Introduction to Spatial Econometrics","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eIntroduction to Spatial Econometrics provides a comprehensive and up-to-date text on spatial regression models, exploring a wide range of methods and applications, including maximum likelihood and Bayesian estimation, spatial lag models, and applied modeling situations. It also clarifies the phenomenon of simultaneous spatial dependence and examines the relationship between spatiotemporal processes and long-run equilibrium states. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 376 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 21 January 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eDespite the recent surge in interest in spatial regression models, a comprehensive and up-to-date text on these approaches is lacking. To address this gap, Introduction to Spatial Econometrics offers a comprehensive exploration of a diverse range of regression methods employed to analyze spatial data samples that deviate from the traditional assumption of independence between observations. Spanning a wide array of alternative topics, the book delves into maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling scenarios involving diverse circumstances.\u003cbr\u003e\u003cbr\u003eLed by esteemed experts in the field, the authors elucidate the often-confounding phenomenon of simultaneous spatial dependence. By presenting novel methods, they facilitate the interpretation of spatial regression models, particularly those incorporating spatial lags of the dependent variable. Furthermore, the authors examine the interplay between spatiotemporal processes and long-run equilibrium states characterized by simultaneous spatial dependence.\u003cbr\u003e\u003cbr\u003eTo enhance the accessibility and practicality of the material, the authors have made MATLAB® toolboxes useful for spatial econometric estimation readily available on their websites.\u003cbr\u003e\u003cbr\u003eThis comprehensive work encompasses spatial econometric modeling and numerous applied illustrations of the methods, encompassing numerous recent advancements in spatial econometric models, including some previously unpublished results. By providing a thorough and up-to-date treatment of spatial regression models, Introduction to Spatial Econometrics serves as a valuable resource for researchers, practitioners, and students in the fields of economics, geography, and related disciplines.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 700g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032477749\u003c\/p\u003e","brand":"James P. LeSage,Robert Kelley Pace","offers":[{"title":"Paperback \/ softback","offer_id":44104593277178,"sku":"9781032477749","price":46.64,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_cc021844-7bb5-4a3c-b6d3-4bd0de303795.jpg?v=1675330806","url":"https:\/\/shulphink.com\/products\/introduction-to-spatial-econometrics-9781032477749","provider":"Shulph Ink","version":"1.0","type":"link"}