Advanced Search
MyIDEAS: Login

A Two-Step Estimator For A Spatial Lag Model Of Counts: Theory, Small Sample Performance And An Application

Contents:

Author Info

  • Dayton M. Lambert

    ()
    (Dept. of Agricultural Economics, University of Tennessee)

  • Jason P. Brown

    ()
    (USDA, Economic Research Service, Washington, D.C.)

  • Raymond J.G.M. Florax

    ()
    (Dept. of Agricultural Economics, Purdue University)

Abstract

Several spatial econometric approaches are available to model spatially correlated disturbances in count models, but there are at present no structurally consistent count models incorporating spatial lag autocorrelation. A two-step, limited information maximum likelihood estimator is proposed to fill this gap. The estimator is developed assuming a Poisson distribution, but can be extended to other count distributions. The small sample properties of the estimator are evaluated with Monte Carlo experiments. Simulation results suggest that the spatial lag count estimator achieves gains in terms of bias over the aspatial version as spatial lag autocorrelation and sample size increase. An empirical example deals with the location choice of single-unit start-up firms in the manufacturing industry in the US between 2000 and 2004. The empirical results suggest that in the dynamic process of firm formation, counties dominated by firms exhibiting (internal) increasing returns to scale are at a relative disadvantage even if localization economies are present

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://ageconsearch.umn.edu/bitstream/59780/2/10-5.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Purdue University, College of Agriculture, Department of Agricultural Economics in its series Working Papers with number 10-5.

as in new window
Length: 28 pages
Date of creation: 2010
Date of revision:
Handle: RePEc:pae:wpaper:10-5

Contact details of provider:
Postal: 1145 Krannert Building, West Lafayette, IN 47907-1145
Phone: 765 494-4191
Fax: 765 494-9176
Web page: http://www.agecon.purdue.edu/
More information through EDIRC

Related research

Keywords: count model; location choice; manufacturing; Poisson; spatial econometrics;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Carlson, Virginia, 2000. "Studying Firm Locations: Survey Responses vs. Econometric Models," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 30(1).
  2. Wojan, Timothy R. & McGranahan, David A., 2007. "Ambient Returns: Creative Capital's Contribution to Local Manufacturing Competitiveness," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(1), April.
  3. James P. LeSage & Manfred M. Fischer & Thomas Scherngell, 2007. "Knowledge spillovers across Europe: Evidence from a Poisson spatial interaction model with spatial effects," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 393-421, 08.
  4. Stephan J. Goetz, 1997. "State- and County-Level Determinants of Food Manufacturing Establishment Growth: 1987–93," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 838-850.
  5. Edward Glaeser & Janet Kohlhase, 2003. "Cities, regions and the decline of transport costs," Economics of Governance, Springer, vol. 83(1), pages 197-228, October.
  6. Josep Maria Arauzo Carod & Miguel C. ManjÛn AntolÌn, 2004. "Firm Size and Geographical Aggregation: An Empirical Appraisal in Industrial Location," Small Business Economics, Springer, vol. 22(3_4), pages 299-312, 04.
  7. Josep Maria Arauzo Carod, . "Determinants of industrial location. An application for Catalan municipalities," Studies on the Spanish Economy 138, FEDEA.
  8. Klier, Thomas & McMillen, Daniel P, 2008. "Clustering of Auto Supplier Plants in the United States," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 460-471.
  9. Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
  10. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
  11. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
  12. Hisham S. El-Osta & Ashok K. Mishra & Mitchell J. Morehart, 2007. "Determinants of economic well-being among U.S. farm operator households," Agricultural Economics, International Association of Agricultural Economists, vol. 36(3), pages 291-304, 05.
  13. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
  14. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
  15. Davis, David E. & Schluter, Gerald E., 2005. "Labor-Force Heterogeneity as a Source of Agglomeration Economies in an Empirical Analysis of County-Level Determinants of Food Plant Entry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(03), December.
  16. Henderson, Jason R. & McNamara, Kevin T., 2000. "The Location Of Food Manufacturing Plant Investments In Corn Belt Counties," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(02), December.
  17. Paulo Guimaraes & Octávio Figueiredo & Douglas Woodward, 2004. "Industrial Location Modeling: Extending the Random Utility Framework," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 1-20.
  18. Todd M. Gabe & Kathleen P. Bell, 2004. "Tradeoffs between Local Taxes and Government Spending as Determinants of Business Location," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 21-41.
  19. Smith, Eldon D. & Deaton, Brady J. & Kelch, David R., 1978. "Location Determinants Of Manufacturing Industry In Rural Areas," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 10(01), July.
  20. Griffith, Daniel A., 2002. "A spatial filtering specification for the auto-Poisson model," Statistics & Probability Letters, Elsevier, vol. 58(3), pages 245-251, July.
  21. Schmenner, Roger W. & Huber, Joel C. & Cook, Randall L., 1987. "Geographic differences and the location of new manufacturing facilities," Journal of Urban Economics, Elsevier, vol. 21(1), pages 83-104, January.
  22. Cletus C. Coughlin & Eran Segev, 1997. "Location determinants of new foreign-owned manufacturing plants," Working Papers 1997-018, Federal Reserve Bank of St. Louis.
  23. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-33, May.
  24. Richard Blundell & Rachel Griffith & Frank Windmeijer, 1999. "Individual effects and dynamics in count data models," IFS Working Papers W99/03, Institute for Fiscal Studies.
  25. Lambert, Dayton M. & McNamara, Kevin T. & Garrett, Megan I., 2006. "Food Industry Investment Flows: Implications for Rural Development," The Review of Regional Studies, Southern Regional Science Association, vol. 36(2), pages 140-62.
  26. 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(01), April.
  27. Paulo Guimar�es & Octávio Figueirdo & Douglas Woodward, 2003. "A Tractable Approach to the Firm Location Decision Problem," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 201-204, February.
  28. Fotopoulos, Georgios & Louri, Helen, 2000. " Location and Survival of New Entry," Small Business Economics, Springer, vol. 14(4), pages 311-21, June.
  29. G�ran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
  30. Bernard Fingleton & Julie Le Gallo, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 319-339, 08.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Roberto Patuelli & Daniel A. Griffith & Michael Tiefelsdorf & Peter Nijkamp, 2009. "Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data," Working Paper Series 02_09, The Rimini Centre for Economic Analysis, revised May 2010.
  2. Magnus Söderberg & Makoto Tanaka, 2012. "Spatial price homogeneity as a mechanism to reduce the threat of regulatory intervention in locally monopolistic sectors," Working Papers hal-00659458, HAL.
  3. repec:asg:wpaper:1046 is not listed on IDEAS
  4. Qu, Xi & Lee, Lung-fei, 2012. "LM tests for spatial correlation in spatial models with limited dependent variables," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 430-445.
  5. Koster, Hans R.A. & van Ommeren, Jos & Rietveld, Piet, 2014. "Estimation of semiparametric sorting models: Explaining geographical concentration of business services," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 14-28.
  6. Daniel Arribas-Bel & Julia Koschinsky & Pedro Amaral, 2012. "Improving the multi-dimensional comparison of simulation results: a spatial visualization approach," Letters in Spatial and Resource Sciences, Springer, vol. 5(2), pages 55-63, July.
  7. Liesenfeld, Roman & Richard, Jean-François & Vogler, Jan, 2013. "Analysis of discrete dependent variable models with spatial correlation," Economics Working Papers 2013-01, Christian-Albrechts-University of Kiel, Department of Economics.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:pae:wpaper:10-5. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Debby Weber).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.