GMM estimation of SAR models with endogenous regressors
Author
Abstract
Suggested Citation
DOI: 10.1016/j.regsciurbeco.2015.09.002
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Zenou, Yves & Lindquist, Matthew, 2014.
"Key Players in Co-Offending Networks,"
CEPR Discussion Papers
9889, C.E.P.R. Discussion Papers.
- Lindquist, Matthew J. & Zenou, Yves, 2014. "Key Players in Co-Offending Networks," IZA Discussion Papers 8012, Institute of Labor Economics (IZA).
- Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
- Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 4, pages 249-277, Elsevier.
- Breusch, Trevor & Qian, Hailong & Schmidt, Peter & Wyhowski, Donald, 1999. "Redundancy of moment conditions," Journal of Econometrics, Elsevier, vol. 91(1), pages 89-111, July.
- Denbee, Edward & Julliard, Christian & Li, Ye & Yuan, Kathy, 2021.
"Network risk and key players: A structural analysis of interbank liquidity,"
Journal of Financial Economics, Elsevier, vol. 141(3), pages 831-859.
- Edward Denbee & Christian Julliard & Ye Li & Kathy Yuan, 2014. "Network Risk and Key Players: A Structural Analysis of Interbank Liquidity," FMG Discussion Papers dp734, Financial Markets Group.
- Denbee, Edward & Julliard, Christian & Li, Ye & Yuan, Kathy, 2018. "Network Risk and Key Players: A Structural Analysis of Interbank Liquidity," Working Paper Series 2018-11, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Denbee, Edward & Julliard, Christian & Yepremyan, Liana & Yuan, Kathy, 2014. "Network risk and key players: a structural analysis of interbank liquidity," LSE Research Online Documents on Economics 119028, London School of Economics and Political Science, LSE Library.
- Denbee, Edward & Julliard, Christian & Li, Ye & Yuan, Kathy, 2021. "Network risk and key players: a structural analysis of interbank liquidity," LSE Research Online Documents on Economics 106280, London School of Economics and Political Science, LSE Library.
- Kelejian, Harry H & Prucha, Ingmar R, 1998.
"A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances,"
The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
- Harry H. Kelejian & Ingmar R. Prucha, 1997. "A Generalized Spatial Two Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," Electronic Working Papers 97-002, University of Maryland, Department of Economics, revised Aug 1997.
- Michael D. König & Xiaodong Liu & Yves Zenou, 2019.
"R&D Networks: Theory, Empirics, and Policy Implications,"
The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 476-491, July.
- Michael D. Koenig & Xiaodong Liu & Yves Zenou, 2014. "R&D Networks: Theory, Empirics and Policy Implications," Discussion Papers 13-027, Stanford Institute for Economic Policy Research.
- Zenou, Yves & Koenig, Michael & Liu, Xiaodong, 2014. "R&D Networks: Theory, Empirics and Policy Implications," CEPR Discussion Papers 9872, C.E.P.R. Discussion Papers.
- Michael D. König & Xiaodong Liu & Yves Zenou, 2014. "R&D networks: theory, empirics and policy implications," ECON - Working Papers 142, Department of Economics - University of Zurich.
- Kelejian, Harry H. & Prucha, Ingmar R., 2010.
"Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances,"
Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
- Harry H. Kelejian & Ingmar R. Prucha, 2008. "Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," CESifo Working Paper Series 2448, CESifo.
- Xiaodong Liu & Lung-Fei Lee, 2013. "Two-Stage Least Squares Estimation of Spatial Autoregressive Models with Endogenous Regressors and Many Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 734-753, August.
- Eleonora Patacchini & Yves Zenou, 2012.
"Juvenile Delinquency and Conformism,"
The Journal of Law, Economics, and Organization, Oxford University Press, vol. 28(1), pages 1-31.
- Zenou, Yves & Patacchini, Eleonora, 2009. "Juvenile Delinquency and Conformism," CEPR Discussion Papers 7565, C.E.P.R. Discussion Papers.
- Eleonora Patacchini & Yves Zenou, 2010. "Juvenile Delinquency and Conformism," Working Papers 2010.59, Fondazione Eni Enrico Mattei.
- Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
- Lee, Lung-fei, 2007. "The method of elimination and substitution in the GMM estimation of mixed regressive, spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 140(1), pages 155-189, September.
- Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
- Fei Jin & Lung-fei Lee, 2013. "Generalized Spatial Two Stage Least Squares Estimation of Spatial Autoregressive Models with Autoregressive Disturbances in the Presence of Endogenous Regressors and Many Instruments," Econometrics, MDPI, vol. 1(1), pages 1-44, May.
- Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2013. "From Natural Variation to Optimal Policy? The Importance of Endogenous Peer Group Formation," Econometrica, Econometric Society, vol. 81(3), pages 855-882, May.
- Liu, Xiaodong & Lee, Lung-fei & Bollinger, Christopher R., 2010. "An efficient GMM estimator of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 159(2), pages 303-319, December.
- Liu, Xiaodong, 2012. "On the consistency of the LIML estimator of a spatial autoregressive model with many instruments," Economics Letters, Elsevier, vol. 116(3), pages 472-475.
- Lee, Lung-fei, 2007. "GMM and 2SLS estimation of mixed regressive, spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 137(2), pages 489-514, April.
- Xu Lin, 2010. "Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 825-860, October.
- Lee, Lung-fei & Liu, Xiaodong, 2010. "Efficient Gmm Estimation Of High Order Spatial Autoregressive Models With Autoregressive Disturbances," Econometric Theory, Cambridge University Press, vol. 26(1), pages 187-230, February.
- Lin, Xu & Lee, Lung-fei, 2010. "GMM estimation of spatial autoregressive models with unknown heteroskedasticity," Journal of Econometrics, Elsevier, vol. 157(1), pages 34-52, July.
- Manning Li & Jihong Liu, 2014. "Discussion and Implications," SpringerBriefs in Business, in: Innovative Advisory Services in the Virtual World, edition 127, chapter 0, pages 51-63, Springer.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Fei Jin & Lung‐fei Lee & Kai Yang, 2024. "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 640-658, June.
- Xiaodong Liu, 2020. "GMM identification and estimation of peer effects in a system of simultaneous equations," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-27, December.
- Nicolas DEBARSY & Cem ERTUR, 2016.
"Interaction matrix selection in spatial econometrics with an application to growth theory,"
LEO Working Papers / DR LEO
2172, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Nicolas Debarsy & Cem Ertur, 2019. "Interaction matrix selection in spatial econometrics with an application to growth theory," Post-Print halshs-01278545, HAL.
- Nicolas Debarsy & Cem Ertur, 2016. "Interaction matrix selection in spatial econometrics with an application to growth theory," Working Papers halshs-01278545, HAL.
- Malabika Koley & Anil K. Bera, 2022. "Testing for spatial dependence in a spatial autoregressive (SAR) model in the presence of endogenous regressors," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.
- Zhang, Xinyu & Yu, Jihai, 2018. "Spatial weights matrix selection and model averaging for spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 203(1), pages 1-18.
- Bernard Fingleton, 2023. "Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments," Journal of Geographical Systems, Springer, vol. 25(1), pages 121-152, January.
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.- Fei Jin & Lung‐fei Lee & Kai Yang, 2024. "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 640-658, June.
- Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022.
"Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.
- Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian Estimation of Multivariate Panel Probits with Higher-order Network Interdependence and an Application to Firms' Global Market Participation in Guangdong," Center for Policy Research Working Papers 247, Center for Policy Research, Maxwell School, Syracuse University.
- Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian Estimation of Multivariate Panel Probits with Higher-Order Network Interdependence and an Application to Firms' Global Market Participation in Guangdong," CESifo Working Paper Series 9579, CESifo.
- Debarsy, Nicolas & Jin, Fei & Lee, Lung-fei, 2015.
"Large sample properties of the matrix exponential spatial specification with an application to FDI,"
Journal of Econometrics, Elsevier, vol. 188(1), pages 1-21.
- Nicolas DEBARSY & Fei JIN & Lung-fei LEE, 2014. "Large Sample Properties of the Matrix Exponential Spatial Specification with an Application to FDI," LEO Working Papers / DR LEO 2244, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Nicolas Debarsy & Fei Jin & Lung-Fei Lee, 2015. "Large sample properties of the matrix exponential spatial specification with an application to FDI," Post-Print hal-00858174, HAL.
- Nicolas Debarsy & Fei Jin & Lung-Fei Lee, 2014. "Large sample properties of the matrix exponential spatial specification with an application to FDI," Working Papers hal-01069198, HAL.
- Doğan, Osman & Taşpınar, Süleyman, 2013. "GMM estimation of spatial autoregressive models with moving average disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 903-926.
- Jin, Fei & Lee, Lung-fei, 2019. "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 208(2), pages 585-612.
- Jin, Fei & Lee, Lung-fei, 2012. "Approximated likelihood and root estimators for spatial interaction in spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 446-458.
- Debarsy, Nicolas & Ertur, Cem, 2019. "Interaction matrix selection in spatial autoregressive models with an application to growth theory," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 49-69.
- Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
- Osman Doğan, 2015. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with a Moving Average Disturbance Term," Econometrics, MDPI, vol. 3(1), pages 1-27, February.
- Wang, Wei & Lee, Lung-Fei & Bao, Yan, 2018. "GMM estimation of the spatial autoregressive model in a system of interrelated networks," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 167-198.
- Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
- Zhengyu Zhang, 2013. "A Pairwise Difference Estimator for Partially Linear Spatial Autoregressive Models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(2), pages 176-194, June.
- Cynthia Fan Yang, 2021.
"Common factors and spatial dependence: an application to US house prices,"
Econometric Reviews, Taylor & Francis Journals, vol. 40(1), pages 14-50, January.
- Yang, Cynthia Fan, 2017. "Common Factors and Spatial Dependence: An Application to US House Prices," MPRA Paper 89032, University Library of Munich, Germany, revised 20 Aug 2018.
- Jörg Breitung & Christoph Wigger, 2018.
"Alternative GMM estimators for spatial regression models,"
Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(2), pages 148-170, April.
- Jцrg Breitung & Christoph Wigger, 2017. "Alternative GMM estimators for spatial regression models," Working Paper Series in Economics 89, University of Cologne, Department of Economics.
- Bao, Yong, 2024. "Estimating spatial autoregressions under heteroskedasticity without searching for instruments," Regional Science and Urban Economics, Elsevier, vol. 106(C).
- Heather D Gibson & Stephen G Hall & Deborah GeFang & Pavlos Petroulas & George S Tavlas, 2021. "Cross-country spillovers of national financial markets and the effectiveness of ECB policies during the euro-area crisis," Oxford Economic Papers, Oxford University Press, vol. 73(4), pages 1454-1470.
- Jin, Fei & Lee, Lung-fei, 2020. "Asymptotically efficient root estimators for spatial autoregressive models with spatial autoregressive disturbances," Economics Letters, Elsevier, vol. 194(C).
- Harald Badinger & Peter Egger, 2015.
"Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances,"
Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
- Harald Badinger & Peter Egger, 2014. "Fixed Effects and Random Effects Estimation of Higher-Order Spatial Autoregressive Models with Spatial Autoregressive and Heteroskedastic Disturbances," CESifo Working Paper Series 4847, CESifo.
- Harald Badinger & Peter Egger, 2014. "Fixed Effects and Random Effects Estimation of Higher-Order Spatial Autoregressive Models with Spatial Autoregressive and Heteroskedastic Disturbances," Department of Economics Working Papers wuwp173, Vienna University of Economics and Business, Department of Economics.
- Badinger, Harald & Egger, Peter, 2014. "Fixed Effects and Random Effects Estimation of Higher-Order Spatial Autoregressive Models with Spatial Autoregressive and Heteroskedastic Disturbances," Department of Economics Working Paper Series 173, WU Vienna University of Economics and Business.
- Moscone, Francesco & Tosetti, Elisa & Canepa, Alessandra, 2014. "Real estate market and financial stability in US metropolitan areas: A dynamic model with spatial effects," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 129-146.
- Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
More about this item
Keywords
Spatial models; Endogeneity; Simultaneous equations; Moment conditions; Efficiency;All these keywords.
JEL classification:
- 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
- C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
- R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
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:eee:regeco:v:55:y:2015:i:c:p:68-79. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/regec .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.