[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-32382":3,"doc-seo-32382":27},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":4,"is_deleted":4,"is_public":19,"is_downloadable":19,"audit_status":19,"page_count":20,"language":21,"language_code":22,"table_of_contents":23,"faqs":24,"seo_title":13,"seo_description":14,"update_tm":25,"read_time":26},32382,1099514068365,"Aurelia","https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?_k=1776742907772140068",8,"Research & Report","Spatial Econometrics Methods and Models","Spatial Econometrics: Methods and Models presents a structured foundation for analyzing econometric relationships where spatial dependence and spatial effects matter. It develops the formal expression of spatial effects through concepts such as neighbors, spatial contiguity matrices, spatial weight matrices, and spatial lag operators, while addressing issues like the modifiable areal unit problem. The book classifies spatial econometric models, studies spatial stochastic processes, and covers estimation and inference methods including maximum likelihood, instrumental variables, Bayesian approaches, robust methods, bootstrapping, and tests such as Moran’s I.","cbCaivapXtNAP7O9","https://ap.wps.com/l/cbCaivapXtNAP7O9","pdf",8250290,1,294,"English","en","# THE SCOPE OF SPATIAL ECONOMETRICS\n## Spatial Econometrics and Regional Science\n## Spatial Effects\n# THE FORMAL EXPRESSION OF SPATIAL EFFECTS\n## Neighbors in Space\n## Spatial Contiguity Matrices\n## General Spatial Weight Matrices\n## Spatial Lag Operators\n## Problems with the Concept of Space in the Formal Expression of Spatial Effects\n# A TYPOLOGY OF SPATIAL ECONOMETRIC MODELS\n## A General Classification of Models\n## Taxonomy of Spatial Linear Regression Models for Cross-Section Data\n## Taxonomy of Spatial Linear Regression Models for Space-Time Data\n# SPATIAL STOCHASTIC PROCESSES: TERMINOLOGY AND GENERAL PROPERTIES\n## Properties of Spatial Stochastic Processes\n## Asymptotic Approaches to Spatial Processes\n# ESTIMATION AND HYPOTHESIS TESTING\n## The Maximum Likelihood Approach to Spatial Process Models\n## Alternative Approaches to Inference in Spatial Process Models\n## Spatial Dependence in Regression Error Terms","[{\"question\":\"What does the book cover in the scope of spatial econometrics?\",\"answer\":\"It defines spatial econometrics in relation to regional science, distinguishes it from standard econometrics and spatial statistics, and introduces spatial effects such as spatial dependence and spatial heterogeneity.\"},{\"question\":\"How are spatial effects formally represented?\",\"answer\":\"The formal expression uses neighbors in space, spatial contiguity matrices, general spatial weight matrices, and spatial lag operators, along with discussion of problems like the modifiable areal unit problem.\"},{\"question\":\"Which estimation and inference approaches are presented for spatial process models?\",\"answer\":\"The text treats maximum likelihood estimation, highlights limitations of ordinary least squares in the presence of spatially lagged dependent variables or spatial residual autocorrelation, and also covers instrumental variables, Bayesian methods, robust approaches, bootstrapping, and tests such as Moran’s I.\"}]",1781130430,741,{"code":4,"msg":28,"data":29},"ok",{"site_id":30,"language":22,"slug":31,"title":13,"keywords":32,"description":14,"schema_data":33,"social_meta":84,"head_meta":86,"extra_data":88,"updated_unix":25},105,"spatial-econometrics-methods-and-models","",{"@graph":34,"@context":83},[35,52,66],{"@type":36,"itemListElement":37},"BreadcrumbList",[38,42,46,49],{"item":39,"name":40,"@type":41,"position":19},"https://docshare.wps.com","Home","ListItem",{"item":43,"name":44,"@type":41,"position":45},"https://docshare.wps.com/document/","Document",2,{"item":47,"name":12,"@type":41,"position":48},"https://docshare.wps.com/document/research-report/",3,{"item":50,"name":13,"@type":41,"position":51},"https://docshare.wps.com/document/spatial-econometrics-methods-and-models/32382/",4,{"url":50,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"description":14,"dateModified":60,"datePublished":60,"encodingFormat":59,"isAccessibleForFree":61,"interactionStatistic":62},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":39,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-06-10",true,{"@type":63,"interactionType":64,"userInteractionCount":4},"InteractionCounter",{"@type":65},"ViewAction",{"@type":67,"mainEntity":68},"FAQPage",[69,75,79],{"name":70,"@type":71,"acceptedAnswer":72},"What does the book cover in the scope of spatial econometrics?","Question",{"text":73,"@type":74},"It defines spatial econometrics in relation to regional science, distinguishes it from standard econometrics and spatial statistics, and introduces spatial effects such as spatial dependence and spatial heterogeneity.","Answer",{"name":76,"@type":71,"acceptedAnswer":77},"How are spatial effects formally represented?",{"text":78,"@type":74},"The formal expression uses neighbors in space, spatial contiguity matrices, general spatial weight matrices, and spatial lag operators, along with discussion of problems like the modifiable areal unit problem.",{"name":80,"@type":71,"acceptedAnswer":81},"Which estimation and inference approaches are presented for spatial process models?",{"text":82,"@type":74},"The text treats maximum likelihood estimation, highlights limitations of ordinary least squares in the presence of spatially lagged dependent variables or spatial residual autocorrelation, and also covers instrumental variables, Bayesian methods, robust approaches, bootstrapping, and tests such as Moran’s I.","https://schema.org",{"og:url":50,"og:type":85,"og:title":13,"og:site_name":57,"og:description":14},"article",{"robots":87,"canonical":50},"index,follow",{"doc_id":7,"site_id":30}]