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Relevant bibliographies by topics / Spatial econometric model

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Academic literature on the topic 'Spatial econometric model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Spatial econometric model"

1

LeSage, James P., and Olivier Parent. "Bayesian Model Averaging for Spatial Econometric Models." Geographical Analysis 39, no. 3 (2007): 241–67. http://dx.doi.org/10.1111/j.1538-4632.2007.00703.x.

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Formánek, Tomáš, and Roman Hušek. "Spatial Aspects Of Unemployment In The Visegrad-Group Economies." Creative and Knowledge Society 6, no. 2 (2016): 1–12. http://dx.doi.org/10.1515/cks-2016-0007.

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Abstract Purpose of the article: Most regional macroeconomic processes may not be adequately analyzed without accounting for their spatial nature: regional distances, interactions between neighbors, spill-over effects and interdependencies. This contribution focuses on various factors ruling unemployment dynamics in the Visegrad Group countries and their major economic partners: Germany and Austria. The analysis is performed at the NUTS2 level. Methodology/methods: Spatial econometrics is a unique tool for a broad range of quantitative analyses and evaluations. Spatial econometric models are b

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Zhao, Xuemei, and Guofeng Yu. "Data-Driven Spatial Econometric Analysis Model for Regional Tourism Development." Mathematical Problems in Engineering 2021 (May 8, 2021): 1–7. http://dx.doi.org/10.1155/2021/6631833.

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Taking 16 cities in Anhui province as research units, based on the research perspective of spatial econometrics, using spatial autocorrelation analysis, this paper investigates the spatial correlation of regional tourism industry in Anhui province, indicating that regional per capita tourism income in Anhui province has obvious positive spatial autocorrelation and relatively obvious local spatial cluster characteristics. To further explore the influence factors of the development level of the regional tourism industry in Anhui and construct the spatial econometric model, the model results show

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Teng, Jiaqi, Shuzhen Ding, Huiguo Zhang, and Xijian Hu. "MCMCINLA estimation of varying coefficient spatial lag model—A study of China’s economic development in the context of population aging." PLOS ONE 18, no. 5 (2023): e0279504. http://dx.doi.org/10.1371/journal.pone.0279504.

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The dominant spatial econometric model in spatial econometrics is the parametric form, while in the realistic context, the variables often do not satisfy the assumption of linearity and have nonlinear relationships with each other. In this paper, we introduce nonparametric terms into spatial econometric models and propose the MCMCINLA estimation method for varying coefficient spatial lag models. The empirical analysis is conducted with the socioeconomic data of mainland China from 2015 to 2020 to discuss the influencing factors and spatial and temporal distribution characteristics of China’s e

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Yang, Yi, and Songmei Huang. "Research on Real Estate Batch Evaluation Based on Spatial Econometric Model." Frontiers in Business, Economics and Management 14, no. 1 (2024): 145–50. http://dx.doi.org/10.54097/s6kezg45.

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This article studies the real estate batch evaluation model in Yuzhong District, Chongqing City. By analyzing 350 real second-hand housing listing data in October 2023 as sample data, a feature price model is established and a spatial econometric model is constructed based on the regression results to seek the most suitable model for batch evaluation of second-hand housing in Yuzhong District, Chongqing City. The results show that there is a significant spatial correlation between sample data, and both the spatial error model and spatial lag model in the spatial econometric model have improved

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Hadisov, Magomed-Ramzan Buvaysarovich, and Nadezhda Vladimirovna Nasukhanova. "CONSTRUCTION OF AN ECONOMETRIC MODEL OF SPATIAL AUTOCORRELATION." Scientific Review: Theory and Practice 14, no. 8 (2024): 1542–48. http://dx.doi.org/10.35679/2226-0226-2024-14-8-1542-1548.

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The article analyzes panel data using statistical indicators for the period 2014-2022 for 85 subjects of the Russian Federation, and a spatial autocorrelation table is constructed. The authors aim their research to analyze and build a spatial model of endogenous growth, characterized by an assessment of the impact of research and development costs and the number of researchers under the age of 39, their flows, on GRP per capita. To build a spatial model, linearization was carried out by logarithm of the studied indicators, as well as statistical software packages (MS Excel, Gretl, STATA) were

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Elhorst, J. Paul, and Silvia Emili. "A spatial econometric multivariate model of Okun's law." Regional Science and Urban Economics 93 (March 2022): 103756. http://dx.doi.org/10.1016/j.regsciurbeco.2021.103756.

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Aklilu Zewdie, Mulugeta. "Spatial Econometric Model of Poverty in Java Island." American Journal of Theoretical and Applied Statistics 4, no. 6 (2015): 420. http://dx.doi.org/10.11648/j.ajtas.20150406.11.

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ZEUG-ŻEBRO, Katarzyna. "Spatial modeling of investment activity of enterprises in service sector." Scientific Papers of Silesian University of Technology. Organization and Management Series 2021, no. 150 (2021): 357–68. http://dx.doi.org/10.29119/1641-3466.2021.150.27.

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Purpose: Due to the visible disproportions, the problem of innovation is increasingly often perceived regionally. These inequalities result from the concentration of knowledge, resources and the amount of expenditure on innovation in a few regions. The aim of the paper is to study the spatial dependence between Polish voivodships in terms of expenditure on innovative activities in enterprises in the service sector. Design/methodology/approach: For the selected variable conditioning the innovative activity of the enterprise, a classical econometric model will be built and the necessity to inclu

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Wang, Shaohua, Yanyan Chen, Jianling Huang, Ning Chen, and Yao Lu. "Macrolevel Traffic Crash Analysis: A Spatial Econometric Model Approach." Mathematical Problems in Engineering 2019 (May 6, 2019): 1–10. http://dx.doi.org/10.1155/2019/5306247.

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This study presents a spatial approach for the macrolevel traffic crashes analysis based on point-of-interest (POI) data and other related data from an open source. The spatial autoregression is explored by Moran’s I Index with three spatial weight features (i.e., (a) Rook, (b) Queen, and (c) Euclidean distance). The traditional Ordinary Least Square (OLS) model, the Spatial Lag Model (SLM), the Spatial Error Model (SEM), and the Spatial Durbin Model (SDM) were developed to describe the spatial correlations among 2,114 Traffic Analysis Zones (TAZs) of Tianjin, one of the four municipalities in

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Dissertations / Theses on the topic "Spatial econometric model"

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Cornwall, Gary J. "Three Essays on Bayesian Econometric Methods." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504801632767553.

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Patton, M. "A spatial econometric model of the agricultural land market." Thesis, Queen's University Belfast, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396218.

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Gumprecht, Daniela. "Spatial methods in econometrics." Thesis, Saarbrücken VDM Verlag Dr. Müller, 2007. http://d-nb.info/988736861/04.

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Xu, Xingbai Xu. "Asymptotic Analysis for Nonlinear Spatial and Network Econometric Models." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461249529.

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Fang, Fang, and Fang Fang. "Modern Econometric Techniques Applied To Three Essays In Spatial Economics." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/621359.

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For Chapter 1: This paper offers a meta-regression analysis of the controversial impact of EU structural funds on the growth of the recipient regions. It identifies the factors that explain the heterogeneity in the size of 323 estimates of their impact recorded in 17 econometric studies. Heterogeneity comes from the publication status, the period examined, controlling for endogeneity, from the presence of several regressors but not from differences in functional forms. For Chapter 2: Recent spatial econometric contributions call for theory-driven spatial models and W matrices capturing actual

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Dickhoner, James William. "A MICRO-LEVEL SPATIAL ECONOMETRIC MODEL: A Case Study of Cincinnati's Poverty Distribution." Thesis, The University of Arizona, 2009. http://hdl.handle.net/10150/192318.

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Fischer, Manfred M., Nico Pintar, and Benedikt Sargant. "Austrian Outbound Foreign Direct Investment in Europe: A spatial econometric study." The Romanian Regional Science Association, 2016. http://epub.wu.ac.at/5118/1/V1011.MMFischer.pdf.

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This paper focuses on Austrian outbound foreign direct investment (FDI, measured by sales of Austrian affiliates abroad) in Europe over the period 2009-2013, using a spatial Durbin panel data model specification with fixed effects, and a spatial weight matrix based on the first-order contiguity relationship of the countries and normalised by its largest eigenvalue. Third-country effects essentially enter the empirical analysis in two major ways: first, by the endogenous spatial lag on FDI (measured by FDI into markets nearby the host country), and, sec

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Greening, Anthony N. "Social disorganisation theory and violent crime: A spatial-econometric analysis of Chicago and Sydney." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2022. https://ro.ecu.edu.au/theses/2528.

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The spatialisation of violent crime is explored in two large case studies, Chicago and Sydney, using spatial econometric methods and macro-sociological variables derived from Social Disorganisation Theory. Social Disorganisation Theory (SDT) is introduced in terms of its formulation in response to highly specific conditions arising in Chicago, as well as its adoption of methodological and theoretical developments from existing traditions. This specificity belies its breadth of application and enduring presence in criminology. With “Social Disorganisation Theory” hosting a wealth of highly nuan

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Müller, Daniel. "Land-use change in the Central Highlands of Vietnam a spatial econometric model combining satellite imagery and village survey data /." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=969930011.

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Han, Xiaoyi. "Three Essays on Spatial Econometrics: Specification, Estimation and Model Selection for Spatial Models." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397558368.

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Books on the topic "Spatial econometric model"

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Krugman, Paul R. The seamless world: A spatial model of international specialization. Centre for Economic Policy Research, 1995.

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Krugman, Paul R. The seamless world: A spatial model of international specialization. National Bureau of Economic Research, 1995.

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Novikov, Anatoliy, Tat'yana Solodkaya, Aleksandr Lazerson, and Viktor Polyak. Econometric modeling in the GRETL package. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1732940.

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The tutorial describes the capabilities of the GRETL statistical package for computer data analysis and econometric modeling based on spatial data and time series. Using concrete economic examples, GRETL considers classical and generalized models of linear and nonlinear regression, methods for detecting and eliminating multicollinearity, models with variable structure, autoregressive processes, methods for testing and eliminating autocorrelation, as well as discrete choice models and systems of simultaneous equations. For the convenience of users, the tutorial contains all the task data

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LeSage, James P. Introduction to spatial econometrics. CRC Press, 2009.

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Anselin, Luc. Spatial Econometrics: Methods and Models. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-7799-1.

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Antoine, Bailly, ed. Spatial econometrics of services. Avebury, 1992.

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Université catholique de Louvain (1970- ). Faculté des sciences. École de Géographie and Université catholique de Louvain (1970- ). Center for Operations Research and Econometrics, eds. Spatial bias in LUTI models. Presses Universitaires, 2016.

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8

Laan, L. van der. Spatial labour markets in the Netherlands. Eburon, 1991.

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Jalan, Jyotsna. Spatial poverty traps? World Bank, Development Research Group, 1997.

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Ram, Usha. Levels, differentials, and spatial patterns of childlessness in India. International Institute for Poulation Sciences, 2010.

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Book chapters on the topic "Spatial econometric model"

1

Parent, Oliver, and James P. LeSage. "Spatial Econometric Model Averaging." In Handbook of Applied Spatial Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03647-7_21.

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Anselin, Luc. "Model Selection in Spatial Econometric Models." In Spatial Econometrics: Methods and Models. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-7799-1_14.

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Anselin, Luc. "Model Validation and Specification Tests in Spatial Econometric Models." In Spatial Econometrics: Methods and Models. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-7799-1_13.

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Jin, Ying. "Spatial Economics, Urban Informatics, and Transport Accessibility." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_8.

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AbstractOne central pillar in the development of urban science which is key to the development of simulation of models of urban structure is spatial econometrics. In this chapter, we outline the way in which ideas pertaining to accessibility which we define conventionally, as in transport economics, as the relative nearness and size of locations to one another, can be embedded in a wider econometric framework. We are thus able to explore how GDP (gross domestic product) of different locations is influenced by different spatial investments. To illustrate this, we first outline the intellectual

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Marques, João Lourenço, Paulo Batista, Eduardo Anselmo Castro, and Arnab Bhattacharjee. "Spatial Automated Valuation Model (sAVM) – From the Notion of Space to the Design of an Evaluation Tool." In Computational Science and Its Applications – ICCSA 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86973-1_6.

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AbstractAssuming that it is not possible to detach a dwelling from its location, this article highlights the relevance of space in the context of housing market analysis and the challenge of capturing the key elements of spatial structure in an automated valuation model: location attributes, heterogeneity, dependence and scale. Thus, the aim is to present a spatial automated valuation model (sAVM) prototype, which uses spatial econometric models to determine the value of a residential property, based on identification of eight housing characteristics (seven are physical attributes of a dwellin

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Fingleton, Bernard. "A Multi-Equation Spatial Econometric Model, with Application to EU Manufacturing Productivity Growth." In Handbook of Applied Spatial Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03647-7_30.

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Sucharidtham, Thunyawadee, and Satawat Wannapan. "Technical Efficiency and Spatial Econometric Model: Application to Rice Production of Thailand." In Studies in Computational Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49728-6_22.

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Liu, Zhen, and Yoo Ri Kim. "Spatial Spillover Effects of the Digital Economy on Tourism Demand: Evidence from China." In Information and Communication Technologies in Tourism 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25752-0_9.

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AbstractDespite widespread concerns about the effect of the digital economy on productivity, few studies have examined the relationship between the digital economy and tourism demand. Based on 285 China’s prefectural-level city statistical data and big data from 2011 to 2019, a comprehensive index of the digital economy is developed and a spatial econometric model is employed to investigate such relationship. The result shows that the growth of the digital economy has positive spatial spillover effects on tourism demand, contributing to extending the impact of the digital economy on tourism de

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Qin, Zhou, and Zhang Hong-li. "Information Technology and Economic Growth – The Empirical Research Based on Spatial Econometric Model." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23993-9_45.

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Dubé, Jean, and Diègo Legros. "Spatial Econometric Models." In Spatial Econometrics Using Microdata. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119008651.ch4.

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Conference papers on the topic "Spatial econometric model"

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He, Youbin, and Yanzhen Yang. "Research on the spatial distribution and influencing factors of B&Bs in Liangshan prefecture based on GIS spatial analysis and spatial econometric model." In International Conference on Mechatronics and Intelligent Control (ICMIC 2024), edited by Kun Zhang and Pascal Lorenz. SPIE, 2025. https://doi.org/10.1117/12.3049158.

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Wang, Xiaolong. "Survey on Spatial Econometric Model for Cross-Sectional Data." In 2015 International Conference on Humanities and Social Science Research. Atlantis Press, 2015. http://dx.doi.org/10.2991/ichssr-15.2015.41.

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Mei Wu and ZhiHe Long. "Estimation of three-dimensional panel data SUR spatial econometric model." In 2011 International Conference on Transportation and Mechanical & Electrical Engineering (TMEE). IEEE, 2011. http://dx.doi.org/10.1109/tmee.2011.6199264.

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Dai, Chengcheng, Yunfei Li, and Shengrong Lu. "Research on Regional Economic Development Level Based on Spatial Econometric Model." In EBIMCS 2024: 2024 7th International Conference on E-Business, Information Management and Computer Science. ACM, 2024. https://doi.org/10.1145/3723420.3723429.

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"Using spatial econometric specification in hedonic pricing model: Is there a problem?" In 19th Annual European Real Estate Society Conference: ERES Conference 2012. ERES, 2012. http://dx.doi.org/10.15396/eres2012_005.

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Zhao, Xiaoyan, Jinggui Gao, and Wenbao Liu. "Automatic Identification of Spatial Econometric Model Using Parallel Optimization for Regional Economic Disparity." In 2015 Ninth International Conference on Frontier of Computer Science and Technology (FCST). IEEE, 2015. http://dx.doi.org/10.1109/fcst.2015.66.

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Li, Feng, and Chenggang Li. "Research on the Effect of Rural Finance on Agricultural Economy Based on Spatial Econometric Model." In Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/cimns-18.2018.43.

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Ruan, Mingyang. "An empirical study of Urban and Rural Ecological Economic Development based on Spatial Econometric Model." In 2015 International Conference on Economics, Social Science, Arts, Education and Management Engineering. Atlantis Press, 2015. http://dx.doi.org/10.2991/essaeme-15.2015.109.

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Su, Huiwei, Shuhui Feng, Qixiu Xie, Yejiang Lin, and Shuyue Wang. "Based on Spatial Econometric Model to Analysis the Influencing Factors of Tourism Consumption in Guangxi County." In 2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2020. http://dx.doi.org/10.1109/icicta51737.2020.00023.

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Wen, Haizhen, and Luhong Chu. "The Analysis on Spatial-Temporal Evolution and Impacting Factors of Residential Land Price in Hangzhou: Evidence Based on Spatial Econometric Model." In 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016). Atlantis Press, 2017. http://dx.doi.org/10.2991/emcm-16.2017.205.

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Reports on the topic "Spatial econometric model"

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Harris, Virginia, Gerald C. Nelson, and Steven Stone. Spatial Econometric Analysis and Project Evaluation: Modeling Land Use Change in the Darién. Inter-American Development Bank, 1999. http://dx.doi.org/10.18235/0008801.

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The Program for the Sustainable Development of Darién Province in Panama is a $70 million operation approved in 1998 and a major component of the program involves the resurfacing of the Pan American highway, which runs roughly north south through the province to a point about 70 kilometers from the Colombian border. The paper illustrates the use of spatial analysis techniques to predict the land use changes that would occur after the road is resurfaced and other project interventions completed. The predictions are based on a spatial econometric model relating categories of land use to geophysi

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Morales, Leonardo Fabio, and Eleonora Dávalos. Diffusion of crime control benefits: Forced eradication and coca crops in Colombia. Banco de la República Colombia, 2022. http://dx.doi.org/10.32468/dtseru.314.

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One explanation for the increasing number of hectares with coca cultivation is that eradication strategies displace coca crops but fail to completely clear affected areas. In the drug policy literature, that dynamic shifting is commonly known as the balloon effect. This study integrates georeferenced agricultural data through spatially explicit econometric models to test the hypothesis that forced eradication displace coca crops. Using annual data for 1,116 contiguous municipalities in Colombia between 2001 and 2015, we estimate a spatial Durbin model with municipal and time fixed effects. Our

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