Dirty spatial econometrics
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Giuseppe Arbia & Giuseppe Espa & Diego Giuliani, 2016. "Dirty spatial econometrics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 177-189, January.
- Giuseppe Arbia & Giuseppe Espa & Diego Giuliani, 2016. "Dirty spatial econometrics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 177-189, January.
References listed on IDEAS
- Harry Kelejian & Ingmar Prucha, 2010. "Spatial models with spatially lagged dependent variables and incomplete data," Journal of Geographical Systems, Springer, vol. 12(3), pages 241-257, September.
- Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
- Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 300-301, July.
- Baltagi, Badi H. & Egger, Peter & Pfaffermayr, Michael, 2007.
"Estimating models of complex FDI: Are there third-country effects?,"
Journal of Econometrics, Elsevier, vol. 140(1), pages 260-281, September.
- Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2005. "Estimating Models of Complex FDI: Are There Third-Country Effects?," Center for Policy Research Working Papers 73, Center for Policy Research, Maxwell School, Syracuse University.
- Eva Deuchert & Conny Wunsch, 2014. "Evaluating nationwide health interventions: Malawi's insecticide-treated-net distribution programme," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(2), pages 523-552, February.
- Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-296, July.
- Alfonso Flores‐Lagunes & Kurt Erik Schnier, 2012. "Estimation of sample selection models with spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 173-204, March.
- Dubin, Robin A., 1992. "Spatial autocorrelation and neighborhood quality," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 433-452, September.
- D A Griffith & R J Bennett & R P Haining, 1989. "Statistical Analysis of Spatial Data in the Presence of Missing Observations: A Methodological Guide and an Application to Urban Census Data," Environment and Planning A, , vol. 21(11), pages 1511-1523, November.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Takahisa Yokoi, 2018. "Spatial lag dependence in the presence of missing observations," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 25-40, January.
- Flavio Santi & Maria Michela Dickson & Diego Giuliani & Giuseppe Arbia & Giuseppe Espa, 2021. "Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data," Computational Statistics, Springer, vol. 36(4), pages 2563-2590, December.
- Giuseppe Arbia & Giuseppe Espa & Diego Giuliani, 2015. "Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality," Econometrics, MDPI, vol. 3(4), pages 1-10, October.
- Giuseppe Arbia & Giuseppe Espa & Diego Giuliani & Maria Michela Dickson, 2017. "Effects of missing data and locational errors on spatial concentration measures based on Ripley’s K-function," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 326-346, July.
- Edoardo Baldoni & Roberto Esposti, 2021. "Agricultural Productivity in Space: an Econometric Assessment Based on Farm‐Level Data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1525-1544, August.
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.- repec:rri:wpaper:201303 is not listed on IDEAS
- Joost Ginkel & Pieter Kroonenberg, 2014. "Using Generalized Procrustes Analysis for Multiple Imputation in Principal Component Analysis," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 242-269, July.
- 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.
- Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2013. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Tinbergen Institute Discussion Papers 13-171/VIII, Tinbergen Institute.
- Verbeek, M.J.C.M. & Nijman, T.E., 1992.
"Incomplete panels and selection bias : A survey,"
Discussion Paper
1992-7, Tilburg University, Center for Economic Research.
- Verbeek, M. & Nijman, T., 1992. "Incomplete Panels and Selection Bias: A Survey," Papers 9207, Tilburg - Center for Economic Research.
- Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
- Martin, Eisele & Zhu, Junyi, 2013.
"Multiple imputation in a complex household survey - the German Panel on Household Finances (PHF): challenges and solutions,"
MPRA Paper
57666, University Library of Munich, Germany.
- Eisele, Martin & Zhu, Junyi, 2013. "Multiple imputation in a complex household survey - the German Panel on Household Finances (PHF): challenges and solutions," EconStor Preprints 100007, ZBW - Leibniz Information Centre for Economics.
- Baylis, Kathy & Paulson, Nicholas D. & Piras, Gianfranco, 2011.
"Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application,"
Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 325-338, August.
- Baylis, Katherine R. & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(3), pages 1-14, August.
- Dang, Hai-Anh & Carletto, Calogero, 2022.
"Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation,"
IZA Discussion Papers
14997, Institute of Labor Economics (IZA).
- Dang, Hai-Anh H. & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," GLO Discussion Paper Series 1020, Global Labor Organization (GLO).
- Daniel Schunk, 2007.
"A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey,"
MEA discussion paper series
07121, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
- Schunk, Daniel, 2007. "A Markov Chain Monte Carlo multiple imputation procedure for dealing with item nonresponse in the German SAVE survey," Papers 07-06, Sonderforschungsbreich 504.
- Schunk, Daniel, 2007. "A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey," Sonderforschungsbereich 504 Publications 07-06, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
- Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
- Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
- F. Di Lascio & Simone Giannerini & Alessandra Reale, 2015. "Exploring copulas for the imputation of complex dependent data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(1), pages 159-175, March.
- Ankita Patnaik & Jeffrey Hemmeter & Arif Mamun, "undated". "Promoting Readiness of Minors with Autism Spectrum Disorder: Evidence from a Randomized Controlled Trial," Mathematica Policy Research Reports a74c93d9bdce40709ad81cdbc, Mathematica Policy Research.
- Lambert, Dayton M. & Florax, Raymond J.G.M. & Cho, Seong-Hoon, 2008.
"Bandwidth Selection For Spatial Hac And Other Robust Covariance Estimators,"
Working papers
44258, Purdue University, Department of Agricultural Economics.
- Dayton M. Lambert & Raymond J.G.M. Florax & Seong-Hoon Cho, 2008. "Bandwidth Selection For Spatial Hac And Other Robust Covariance Estimators," Working Papers 08-10, Purdue University, College of Agriculture, Department of Agricultural Economics.
- Lambert, Dayton M. & Florax, Raymond J.G.M. & Cho, Seong-Hoon, 2008. "Bandwidth Selection For Spatial Hac And Other Robust Covariance Estimators," Working papers 45964, Purdue University, Department of Agricultural Economics.
- Oleksandr Shepotylo, 2012.
"Spatial complementarity of FDI: the example of transition countries,"
Post-Communist Economies, Taylor & Francis Journals, vol. 24(3), pages 327-349, October.
- Oleksandr Shepotylo, 2010. "Spatial complementarity of FDI: example of transition countries," Discussion Papers 29, Kyiv School of Economics.
- Westermeier, Christian & Grabka, Markus M., 2016.
"Longitudinal Wealth Data and Multiple Imputation: An Evaluation Study,"
EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(3), pages 237-252.
- Christian Westermeier & Markus M. Grabka, 2015. "Longitudinal Wealth Data and Multiple Imputation: An Evaluation Study," SOEPpapers on Multidisciplinary Panel Data Research 790, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Youngjoo Cho & Debashis Ghosh, 2021. "Quantile-Based Subgroup Identification for Randomized Clinical Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(1), pages 90-128, April.
- Liu, Shew Fan & Yang, Zhenlin, 2015.
"Modified QML estimation of spatial autoregressive models with unknown heteroskedasticity and nonnormality,"
Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 50-70.
- Shew Fan Liu & Zhenlin Yang, 2014. "Modified QML Estimation of Spatial Autoregressive Models with Unknown Heteroskedasticity and Nonnormality," Working Papers 14-2014, Singapore Management University, School of Economics.
- Ahfock, Daniel & Pyne, Saumyadipta & McLachlan, Geoffrey J., 2022. "Statistical file-matching of non-Gaussian data: A game theoretic approach," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
- Yanqing Sun & Li Qi & Fei Heng & Peter B. Gilbert, 2020. "A hybrid approach for the stratified mark‐specific proportional hazards model with missing covariates and missing marks, with application to vaccine efficacy trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 791-814, August.
- Jonathan Hambur & Gianni La Cava, 2018. "Do Interest Rates Affect Business Investment? Evidence from Australian Company-level Data," RBA Research Discussion Papers rdp2018-05, Reserve Bank of Australia.
More about this item
JEL classification:
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2015-09-11 (Econometrics)
- NEP-GEO-2015-09-11 (Economic Geography)
- NEP-URE-2015-09-11 (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:trn:utwpem:2015/09. 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: roberto.gabriele@unitn.it (email available below). General contact details of provider: https://edirc.repec.org/data/detreit.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.