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Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model

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  1. Lambert, Dayton M. & McNamara, Kevin T. & Garrett, Megan I., 2006. "An Application of Spatial Poisson Models to Manufacturing Investment Location Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(1), pages 1-17, April.
  2. Li, Bao-Gen & Ling, Dian-Yi & Yu, Zu-Guo, 2021. "Multifractal temporally weighted detrended partial cross-correlation analysis of two non-stationary time series affected by common external factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
  3. Antonio Páez & Takashi Uchida & Kazuaki Miyamoto, 2002. "A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 1. Location-Specific Kernel Bandwidths and a Test for Locational Heterogeneity," Environment and Planning A, , vol. 34(4), pages 733-754, April.
  4. Lavorato, Mateus & Braga, Marcelo José, 2021. "On the Risk Efficiency of a Weather Index Insurance Product for the Brazilian Semi-Arid Region," 2021 Conference, August 17-31, 2021, Virtual 315193, International Association of Agricultural Economists.
  5. Li, Deng-Kui & Mei, Chang-Lin & Wang, Ning, 2019. "Tests for spatial dependence and heterogeneity in spatially autoregressive varying coefficient models with application to Boston house price analysis," Regional Science and Urban Economics, Elsevier, vol. 79(C).
  6. Lebreton, Marie, 2005. "The NCSTAR model as an alternative to the GWR model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 77-84.
  7. Yaxiong Ma & Sucharita Gopal, 2018. "Geographically Weighted Regression Models in Estimating Median Home Prices in Towns of Massachusetts Based on an Urban Sustainability Framework," Sustainability, MDPI, vol. 10(4), pages 1-27, March.
  8. Diana Gutiérrez Posada & Fernando Rubiera Morollón & Ana Viñuela, 2018. "Ageing Places in an Ageing Country: The Local Dynamics of the Elderly Population in Spain," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 109(3), pages 332-349, July.
  9. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
  10. Sunak, Yasin & Madlener, Reinhard, 2012. "The Impact of Wind Farms on Property Values: A Geographically Weighted Hedonic Pricing Model," FCN Working Papers 3/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Mar 2013.
  11. Yan Kestens & Marius Thériault & François Des Rosiers, 2006. "Heterogeneity in hedonic modelling of house prices: looking at buyers’ household profiles," Journal of Geographical Systems, Springer, vol. 8(1), pages 61-96, March.
  12. Longhui Fu & Qibang Wang & Jianhui Li & Huiran Jin & Zhen Zhen & Qingbin Wei, 2022. "Spatiotemporal Heterogeneity and the Key Influencing Factors of PM 2.5 and PM 10 in Heilongjiang, China from 2014 to 2018," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
  13. Yan Zhang & Yanfang Liu & Jiawei Pan & Yang Zhang & Dianfeng Liu & Huiting Chen & Junqing Wei & Ziyi Zhang & Yaolin Liu, 2020. "Exploring Spatially Non-Stationary and Scale-Dependent Responses of Ecosystem Services to Urbanization in Wuhan, China," IJERPH, MDPI, vol. 17(9), pages 1-23, April.
  14. Bumsoo Lee & Peter Gordon, 2010. "Urban Structure: It's Role in Urban Growth, Net New Business Formation and Industrial Churn," Working Paper 8515, USC Lusk Center for Real Estate.
  15. Katharina Pijnenburg, 2013. "Self-Employment and Economic Performance: A Geographically Weighted Regression Approach for European Regions," Discussion Papers of DIW Berlin 1272, DIW Berlin, German Institute for Economic Research.
  16. Xijian Hu & Yaori Lu & Huiguo Zhang & Haijun Jiang & Qingdong Shi, 2021. "Selection of the Bandwidth Matrix in Spatial Varying Coefficient Models to Detect Anisotropic Regression Relationships," Mathematics, MDPI, vol. 9(18), pages 1-14, September.
  17. Jianmin Liu & Xiaomei Hu & Jinguang Wu, 2017. "Fiscal decentralization, financial efficiency and upgrading the industrial structure: an empirical analysis of a spatial heterogeneity model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(1), pages 181-196, January.
  18. Nick Bailey & Guanpeng Dong & Jon Minton & Gwilym Pryce, 2018. "Reconsidering the Relationship between Air Pollution and Deprivation," IJERPH, MDPI, vol. 15(4), pages 1-17, March.
  19. Sven Müller, 2012. "Identifying spatial nonstationarity in German regional firm start-up data," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 113-132, September.
  20. Ferhan Gezici & Burçin Yazgı Walsh & Sinem Metin Kacar, 2017. "Regional and structural analysis of the manufacturing industry in Turkey," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 209-230, July.
  21. Mirosław Bełej & Radosław Cellmer & Michał Głuszak, 2020. "The Impact of Airport Proximity on Single-Family House Prices—Evidence from Poland," Sustainability, MDPI, vol. 12(19), pages 1-26, September.
  22. Wei, Chuan-Hua & Qi, Fei, 2012. "On the estimation and testing of mixed geographically weighted regression models," Economic Modelling, Elsevier, vol. 29(6), pages 2615-2620.
  23. Müller, Sven & Wilhelm, Pascal & Haase, Knut, 2013. "Spatial dependencies and spatial drift in public transport seasonal ticket revenue data," Journal of Retailing and Consumer Services, Elsevier, vol. 20(3), pages 334-348.
  24. Filali, Radhouane, 2008. "Variabilité spatiale des prix hédoniques des caractéristiques du logement: une nouvelle méthode de calcul des indices de prix spatiaux [Spatial variability of housing attribute marginal prices: est," MPRA Paper 14227, University Library of Munich, Germany.
  25. Kevin McNamara, 2005. "Analysis of Manufacturing Growth in Indiana," ERSA conference papers ersa05p827, European Regional Science Association.
  26. Diana Gutiérrez-Posada & Fernando Rubiera-Morollon & Ana Viñuela, 2017. "Heterogeneity in the Determinants of Population Growth at the Local Level," International Regional Science Review, , vol. 40(3), pages 211-240, May.
  27. Yee Leung & Chang-Lin Mei & Wen-Xiu Zhang, 2000. "Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression," Environment and Planning A, , vol. 32(5), pages 871-890, May.
  28. Носов В.В. & Цыпин А.П., 2015. "Эконометрическое Моделирование Цены Однокомнатной Квартиры Методом Географически Взвешенной Регрессии," Izvestiya of Saratov University. New Series. Series: Economics. Management. Law Известия Саратовского университета. Новая серия. Серия Экономика. Управление. Право, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Саратовский национальный исследовательский государственный университет имени Н. Г. Чернышевского», vol. 15(4), pages 381-387.
  29. Elżbieta Antczak & Katarzyna M. Miszczyńska, 2021. "Causes of Sickness Absenteeism in Europe—Analysis from an Intercountry and Gender Perspective," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
  30. Ning Wang & Chang-Lin Mei & Xiao-Dong Yan, 2008. "Local Linear Estimation of Spatially Varying Coefficient Models: An Improvement on the Geographically Weighted Regression Technique," Environment and Planning A, , vol. 40(4), pages 986-1005, April.
  31. Ricardo Crespo & Adrienne Grêt-Regamey, 2013. "Local Hedonic House-Price Modelling for Urban Planners: Advantages of Using Local Regression Techniques," Environment and Planning B, , vol. 40(4), pages 664-682, August.
  32. Chang-Lin Mei & Feng Chen & Wen-Tao Wang & Peng-Cheng Yang & Si-Lian Shen, 2021. "Efficient estimation of heteroscedastic mixed geographically weighted regression models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(1), pages 185-206, February.
  33. Carosi, Andrea, 2016. "Do local causations matter? The effect of firm location on the relations of ROE, R&D, and firm SIZE with MARKET-TO-BOOK," Journal of Corporate Finance, Elsevier, vol. 41(C), pages 388-409.
  34. Lei Li & Yilin Zheng & Shaojun Ma, 2023. "Links of urban green space on environmental satisfaction: a spatial and temporarily varying approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3469-3501, April.
  35. Ayse Ozden Birkan & Serpil Kahraman Akdogu, 2016. "The geography of financial intermediation in Turkey: 1988–2013," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(1), pages 31-61, July.
  36. Zeng Li & Jingying Fu & Dong Jiang & Gang Lin & Donglin Dong & Xiaoxi Yan, 2017. "Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China," IJERPH, MDPI, vol. 14(11), pages 1-12, November.
  37. Rabin Chakrabortty & Subodh Chandra Pal & Mehebub Sahana & Ayan Mondal & Jie Dou & Binh Thai Pham & Ali P. Yunus, 2020. "Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1259-1294, November.
  38. Fan Liu & Min Min & Ke Zhao & Weiyan Hu, 2020. "Spatial-Temporal Variation in the Impacts of Urban Infrastructure on Housing Prices in Wuhan, China," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
  39. Rahul Govind & Rabikar Chatterjee & Vikas Mittal, 2018. "Segmentation of Spatially Dependent Geographical Units: Model and Application," Management Science, INFORMS, vol. 64(4), pages 1941-1956, April.
  40. María D. Illescas-Manzano & Sergio Martínez-Puertas & Gema M. Marín-Carrillo & María B. Marín-Carrillo, 2023. "Dynamics of agglomeration and competition in the hotel industry: A geographically weighted regression analysis based on an analytical hierarchy process and geographic information systems (GIS) data," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 213-252, March.
  41. Elżbieta Antczak, 2020. "Regionally Divergent Patterns in Factors Affecting Municipal Waste Production: The Polish Perspective," Sustainability, MDPI, vol. 12(17), pages 1-25, August.
  42. Antonio Páez & Steven Farber & David Wheeler, 2011. "A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships," Environment and Planning A, , vol. 43(12), pages 2992-3010, December.
  43. Li, Xijing & Zhang, Mengmeng & Wang, Jionghua, 2022. "The spatio-temporal relationship between land use and population distribution around new intercity railway stations: A case study on the Pearl River Delta region, China," Journal of Transport Geography, Elsevier, vol. 98(C).
  44. Yoo, James & Ready, Richard, 2016. "The impact of agricultural conservation easement on nearby house prices: Incorporating spatial autocorrelation and spatial heterogeneity," Journal of Forest Economics, Elsevier, vol. 25(C), pages 78-93.
  45. Yanchuan Mou & Qingsong He & Bo Zhou, 2017. "Detecting the Spatially Non-Stationary Relationships between Housing Price and Its Determinants in China: Guide for Housing Market Sustainability," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
  46. Miryam S. Merk & Philipp Otto, 2022. "Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling," Environmetrics, John Wiley & Sons, Ltd., vol. 33(1), February.
  47. Du, Hongbo & Mulley, Corinne, 2012. "Understanding spatial variations in the impact of accessibility on land value using geographically weighted regression," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 46-59.
  48. Liu Yang & Hongzan Jiao, 2022. "Spatiotemporal Changes in Ecosystem Services Value and Its Driving Factors in the Karst Region of China," Sustainability, MDPI, vol. 14(11), pages 1-21, May.
  49. Andrea Furková & Michaela Chocholatá, 2021. "Spatial econometric approach to the EU regional employment process," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 1037-1056, September.
  50. repec:rre:publsh:v:51:y:2021:i:2 is not listed on IDEAS
  51. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
  52. Yu, Haijing & Devece, Caarlos & Martinez, José Manuel Guaita & Xu, Bing, 2021. "An analysis of the paradox in R&D. Insight from a new spatial heterogeneity model," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  53. Chien-Hao Sung & Shyue-Cherng Liaw, 2021. "Using Spatial Pattern Analysis to Explore the Relationship between Vulnerability and Resilience to Natural Hazards," IJERPH, MDPI, vol. 18(11), pages 1-16, May.
  54. Yaping Huang & Man Yuan & Youpeng Lu, 2019. "Spatially varying relationships between surface urban heat islands and driving factors across cities in China," Environment and Planning B, , vol. 46(2), pages 377-394, February.
  55. Brittney K. Goodrich & Jeffrey C. Williams & Rachael E. Goodhue, 2019. "The Great Bee Migration: Supply Analysis of Honey Bee Colony Shipments into California for Almond Pollination Services," American Journal of Agricultural Economics, John Wiley & Sons, vol. 101(5), pages 1353-1372, October.
  56. Jülide Yildirim & Nadir Öcal, 2013. "Analysing The Determinants Of Terrorism In Turkey Using Geographically Weighted Regression," Defence and Peace Economics, Taylor & Francis Journals, vol. 24(3), pages 195-209, June.
  57. Si-Lian Shen & Chang-Lin Mei & Ying-Jian Zhang, 2011. "Spatially Varying Coefficient Models: Testing for Spatial Heteroscedasticity and Reweighting Estimation of the Coefficients," Environment and Planning A, , vol. 43(7), pages 1723-1745, July.
  58. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
  59. Shaoming Cheng & Huaqun Li, 2011. "Spatially Varying Relationships of New Firm Formation in the United States," Regional Studies, Taylor & Francis Journals, vol. 45(6), pages 773-789.
  60. Punzo, Gennaro & Castellano, Rosalia & Bruno, Emma, 2022. "Using geographically weighted regressions to explore spatial heterogeneity of land use influencing factors in Campania (Southern Italy)," Land Use Policy, Elsevier, vol. 112(C).
  61. Julie Le Gallo, 2000. "Spatial econometrics (2, Spatial heterogeneity) [Econométrie spatiale (2, Hétérogénéité spatiale)]," Working Papers hal-01526969, HAL.
  62. Chacon-Hurtado, Davis & Kumar, Indraneel & Gkritza, Konstantina & Fricker, Jon D. & Beaulieu, Lionel J., 2020. "The role of transportation accessibility in regional economic resilience," Journal of Transport Geography, Elsevier, vol. 84(C).
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