Generalizing impact computations for the autoregressive spatial interaction model
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Thibault Laurent & Paula Margaretic & Christine Thomas-Agnan, 2023. "Generalizing Impact Computations for the Autoregressive Spatial Interaction Model," Post-Print hal-04355089, HAL.
References listed on IDEAS
- Michel Goulard & Thibault Laurent & Christine Thomas-Agnan, 2017.
"About predictions in spatial autoregressive models: optimal and almost optimal strategies,"
Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 304-325, July.
- Thomas-Agnan, Christine & Laurent, Thibault & Goulard, Michel, 2013. "About predictions in spatial autoregressive models : Optimal and almost optimal strategies," TSE Working Papers 13-452, Toulouse School of Economics (TSE), revised Dec 2016.
- James P. LeSage & Manfred M. Fischer, 2016.
"Spatial Regression-Based Model Specifications for Exogenous and Endogenous Spatial Interaction,"
Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 15-36,
Springer.
- LeSage, James P. & Fischer, Manfred M., 2014. "Spatial regression-based model specifications for exogenous and endogenous spatial interaction," Working Papers in Regional Science 2014/03, WU Vienna University of Economics and Business.
- Manfred M Fischer & James P. LeSage, 2014. "Spatial regression-based model specifications for exogenous and endogenous spatial interaction," ERSA conference papers ersa14p716, European Regional Science Association.
- James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.
- James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Yu, Haijing & Shen, Shaowei & Han, Lei & Ouyang, Jian, 2024. "Spatiotemporal heterogeneities in the impact of the digital economy on carbon emission transfers in China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, 2021. "Do neighboring countries matter when explaining bilateral remittances?," TSE Working Papers 21-1221, Toulouse School of Economics (TSE).
- Moura, Ticiana Grecco Zanon & Chen, Zhangliang & Garcia-Alonso, Lorena, 2019. "Spatial interaction effects on inland distribution of maritime flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 1-10.
- Rodolfo Metulini & Paolo Sgrignoli & Stefano Schiavo & Massimo Riccaboni, 2018. "The network of migrants and international trade," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 763-787, December.
- James Paul LeSage & Manfred M. Fischer, 2020.
"Cross-sectional dependence model specifications in a static trade panel data setting,"
Journal of Geographical Systems, Springer, vol. 22(1), pages 5-46, January.
- LeSage, James P. & Fischer, Manfred M., 2017. "Cross-sectional dependence model specifications in a static trade panel data setting," Working Papers in Regional Science 2017/01, WU Vienna University of Economics and Business.
- LeSage, James & Fischer, Manfred M., 2019. "Cross-sectional dependence model specifications in a static trade panel data setting," Working Papers in Regional Science 2019/03, WU Vienna University of Economics and Business.
- Yufei Lin & Yingxia Pu & Xinyi Zhao & Guangqing Chi & Cui Ye, 2023. "The Spatiotemporal Elasticity of Age Structure in China’s Interprovincial Migration System," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
- Sardadvar, Sascha & Vakulenko, Elena, 2020. "Estimating and interpreting internal migration flows in Russia by accounting for network effects," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
- Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
- Manfred M. Fischer & James P. LeSage, 2020.
"Network dependence in multi-indexed data on international trade flows,"
Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-26, December.
- Fischer, Manfred M. & LeSage, James P., 2020. "Network dependence in multi-indexed data on international trade flows," Working Papers in Regional Science 2020/01, WU Vienna University of Economics and Business.
- Yingxia Pu & Xinyi Zhao & Guangqing Chi & Jin Zhao & Fanhua Kong, 2019. "A spatial dynamic panel approach to modelling the space-time dynamics of interprovincial migration flows in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(31), pages 913-948.
- Antosik, Liubov & Ivashina, Natalya, 2019. "Modeling of spatial dependence in the migration flows of graduates of the higher education institutions of the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 54, pages 70-89.
- Tamara Mata & Carlos Llano, 2013. "Social networks and trade of services: modelling interregional flows with spatial and network autocorrelation effects," Journal of Geographical Systems, Springer, vol. 15(3), pages 319-367, July.
- Ni, Linglin & Wang, Xiaokun (Cara) & Zhang, Dapeng, 2016. "Impacts of information technology and urbanization on less-than-truckload freight flows in China: An analysis considering spatial effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 12-25.
- Andrew J. Cassey & Katherine N. Schmeiser & Andreas Waldkirch, 2016. "Exporting Spatial Externalities," Open Economies Review, Springer, vol. 27(4), pages 697-720, September.
- Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017.
"Spatial dependence in (origin-destination) air passenger flows,"
Papers in Regional Science, Wiley Blackwell, vol. 96(2), pages 357-380, June.
- Doucet, Romain & Margaretic, Paula & Thomas-Agnan, Christine & Villotta, Quentin, 2014. "Spatial dependence in (origin-destination) air passenger flows," TSE Working Papers 14-494, Toulouse School of Economics (TSE).
- Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017. "Spatial dependence in (origin-destination) air passenger flows," Post-Print halshs-01698556, HAL.
- Rodolfo Metulini & Roberto Patuelli & Daniel A. Griffith, 2018.
"A Spatial-Filtering Zero-Inflated Approach to the Estimation of the Gravity Model of Trade,"
Econometrics, MDPI, vol. 6(1), pages 1-15, February.
- Rodolfo Metulini & Roberto Patuelli & Daniel A. Griffith, 2016. "A Spatial-Filtering Zero-Inflated Approach to the Estimation of the Gravity Model of Trade," Working Paper series 16-26, Rimini Centre for Economic Analysis, revised Feb 2018.
- Rodolfo Metulini & Roberto Patuelli & Daniel Griffith, 2016. "A spatial-filtering zero-inflated approach to the estimation of the gravity model of trade," ERSA conference papers ersa16p614, European Regional Science Association.
- R. Metulini & R. Patuelli & D. A. Griffith, 2016. "A Spatial-Filtering Zero-Inflated Approach to the Estimation of the Gravity Model of Trade," Working Papers wp1081, Dipartimento Scienze Economiche, Universita' di Bologna.
- Alessio Baldassarre & Danilo Carullo & Paolo Di Caro & Elisa Fusco & Pasquale Giacobbe & Carlo Orecchia, 2023. "Bilateral Regional Trade Flows in Italy: an Origin-Destination-Commodity GWR-SAR approach," Working Papers wp2023-18, Ministry of Economy and Finance, Department of Finance.
- Lukas Dargel, 2021. "Revisiting estimation methods for spatial econometric interaction models," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-41, December.
- Giuseppe Ricciardo Lamonica, 2018. "An analysis of methods for the treatment of autocorrelation in spatial interaction models," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 72(2), pages 2-9, April-Jun.
- Gabriel Lyrio de Oliveira & André Luis Squarize Chagas, 2020.
"Effects of a cash transfer programme on origin–destination migration flows,"
Regional Science Policy & Practice, Wiley Blackwell, vol. 12(1), pages 83-104, February.
- Gabriel Lyrio de Oliveira & André Luis Squarize Chagas, 2017. "Effects of a Cash Transfer Program on Origin-Destination Migration Flows," Working Papers, Department of Economics 2017_28, University of São Paulo (FEA-USP).
- Carlos Llano-Verduras & Santiago Pérez-Balsalobre & Ana Rincón-Aznar, 2021. "Market fragmentation and the rise of sub-national regulation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 765-797, December.
More about this item
Keywords
Impact decomposition ; local effects; spatial interaction autoregressive models; non-cartesian flow data;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2022-10-10 (Econometrics)
- NEP-NET-2022-10-10 (Network Economics)
- NEP-URE-2022-10-10 (Urban and Real Estate Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tse:wpaper:127301. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tsetofr.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.