A two-step estimator for a spatial lag model of counts: Theory, small sample performance and an application

Regional Science and Urban Economics

Volumn 40, Issue 4, 2010, Pages 241-252

  Lambert, Dayton M ^a   Brown, Jason P ^b   Florax, Raymond J G M ^c,d  

^a UNIVERSITY OF TENNESSEE   (United States)

^b ECONOMIC RESEARCH SERVICE   (United States)

^c PURDUE UNIVERSITY   (United States)

^d VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

Count model; Location choice; Manufacturing; Poisson; Spatial econometrics

Indexed keywords

AUTOCORRELATION; ECONOMETRICS; LOCATION DECISION; MANUFACTURING; MAXIMUM LIKELIHOOD ANALYSIS; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PROBABILITY; RETURNS TO SCALE; SPATIAL ANALYSIS;

UNITED STATES;

EID: 77953135162     PISSN: 01660462     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.regsciurbeco.2010.04.001     Document Type: Article

References (74)

1. Anselin L. Spatial Econometrics: Methods and Models 1988, Kluwer Academic Publishers, London.
2. Anselin L. Under the hood: issues in the specification and interpretation of spatial regression models. Agricultural Economics 2002, 17(3):247-267.
3. Anselin L. Spatial econometrics. Palgrave Handbook of Econometrics 2006, vol. 1. Basingstoke, Palgrave Macmillan. T.C. Mills, K. Patterson (Eds.).
4. Bartik T.J. Small business start-ups in the United States: estimates of the effects of characteristics of states. Southern Economic Journal 1989, 55(4):1004-1018.
5. Bhati A. Robust spatial analysis of rare crimes: an information-theoretic approach. Sociological Methodology 2005, 35:239-301.
6. Blair J.P., Premus R. Major factors in industrial location: a review. Economic Development Quarterly 1987, 1(1):72-85.
7. Blundell R.R., Griffith R., Windmeijer F. Individual effects and dynamics in count data. Discussion Paper 1995, 95-03. Dept. of Economics, University College, London.
8. Burbidge J.B., Magee L., Robb A.L. Alternative transformations to handle extreme values of the dependent variable. Journal of the American Statistical Association 1988, 83(401):123-127.
9. Bureau of Economic Analysis Regional economic accounts 2008, Available at: http://www.bea.gov/regional/index.htm. Accessed on 10/14/2008.
10. Bureau of Labor Statistics Accessed on 02/08/2009. http://www.bls.gov/lau/#tables.
11. Cameron A.C., Trivedi P.K. Regression Analysis of Count Data. Econometric Society Monograph No.30 1998, Cambridge University Press, Cambridge.
12. Cameron A.C., Trivedi P.K. Microeconometrics: Methods and Applications 2005, Cambridge University Press, Cambridge.
13. Carlson V. Studying firm locations: survey responses vs. econometric models. Journal of Regional Analysis & Policy 2000, 30(1):1-22.
14. Carod J.M.A. Determinants of industrial location: an application for Catalan municipalities. Papers in Regional Science 2005, 82(1):105-120.
15. Carod J.M.A., Antolín M.C.M. Firm size and geographical aggregation: an empirical appraisal in industrial location. Small Business Economics 2004, 22:299-312.
16. Chong S. The role of labor cost in the location choices of Japanese investors in china. Papers in Regional Science 2006, 85(1):121-138.
17. Cliff A.D., Ord J.K. Spatial Processes 1981, Pion, London.
18. Coughlin C.C., Segev E. Location determinants of new foreign-owned manufacturing plants. Journal of Regional Science 2000, 40:323-351.
19. County Business Patterns Accessed on 3/18/2009. http://www.census.gov/econ/cbp/index.html.
20. Crone T.M. Where have all the factory jobs gone-and why? 1997, Business Review, Federal Reserve Bank of Philadelphia, May/June.
21. Davis D.E., Schluter G.E. Labor-force heterogeneity as a source of agglomeration economics in an empirical analysis of county-level determinants of food plant entry. Journal of Agricultural and Resource Economics 2005, 30(3):480-501.
22. El-Osta H., Mishra A., Morehart M. Determinants of economic well-being among U.S. farm operator households. Agricultural Economics 2007, 36:291-304.
23. ESRI GIS Software http://www.esri.com/.
24. Fingleton B., LeGallo J. Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: finite sample properties. Papers in Regional Science 2008, 87(3):319-339.
25. Fleming M.M. Techniques for estimating spatially dependent discrete-choice models. Advances in Spatial Econometrics: Methodology, Tools and Applications 2004, Springer-Verlag, Berlin. L. Anselin, R.J.G.M. Florax, S.J. Rey (Eds.).
26. Florax R.J.G.M., Folmer H., Rey S.J. Specification searches in spatial econometrics: the relevance of Hendry's methodology. Regional Science and Urban Economics 2003, 33:557-579.
27. Flores, O., Rossi, V., and Mortier, F., 2009. Autocorrelation Offsets Zero-Inflation in Models of Tropical Saplings Density. Ecological Modeling. forthcoming.
28. Fotheringham A.S., Brunsdon C., Charlton M. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships 2002, Wiley, West Sussex.
29. Fotopoulos G., Louri H. Location and survival of new entry. Small Business Economics 2000, 14:311-321.
30. Gabe T., Bell K.P. Tradeoffs between local taxes and government spending as determinants of business location. Journal of Regional Science 2004, 44(1):21-41.
31. Glaeser E.L., Kohlhase J.E. Cities, regions, and the decline of transport costs. Papers in Regional Science 2004, 83:197-228.
32. Goetz S. State- and county-level determinants of food manufacturing establishment growth: 1987-1993. American Journal of Agricultural Economics 1997, 79(3):838-850.
33. Greene W.H. Econometric Analysis 2003, Prentice Hall, Upper Saddle River, NJ.
34. Griffith D.A. A spatial filtering specification for the auto-Poisson model. Statistics and Probability 2002, 58:245-251.
35. Griffith D.A. Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization 2003, Springer-Verlag, Berlin.
36. Guimarães P., Figueiredo O., Woodward D. A tractable approach to the firm location decision problem. The Review of Economics and Statistics 2003, 85(1):201-204.
37. Guimarães P., Figueiredo O., Woodward D. Industrial location modeling: extending the random utility framework. Journal of Regional Science 2004, 44(1):1-20.
38. Haining R.P., Law J., Griffith D.A. Modeling small area counts in the presence of overdispersion and spatial autocorrelation. Computational Statistics and Data Analysis 2009, 53:2923-2937.
39. Henderson J.R., McNamara K.T. The location of food manufacturing plant investments in Corn Belt counties. Journal of Agricultural and Resource Economics 2000, 25(2):680-697.
40. Hays J.C., Franzese R.J. A Comparison of the Small-Sample Properties of Several Estimators for Spatial-Lag Count Models 2009, Unpublished Working Paper, University of Illinois Champaign-Urbana.
41. Hoaglin D.C., Welsch R.E. The hat matrix in regression and ANOVA. The American Statistician 1978, 32(1):17-22.
42. Hodge S.A., Warcholik W.P., Moody J.S. State business tax climate index. Background Paper No. 41 2003, The Tax Foundation, Washington D.C. first edition.
43. Kaiser M.S., Cressie N. Modeling Poisson variables with positive spatial dependence. Statistics and Probability 1997, 35:423-432.
44. Kelejian H.H., Prucha I.R. A generalized moments estimator for the autoregressive parameter in a spatial model. International Economic Review 1999, 40:509-533.
45. Kelejian H.H., Prucha I.R. HAC estimation in a spatial framework. Journal of Econometrics 2007, 140:131-154.
46. Klier T., McMillen D.P. Clustering of auto supplier plants in the United States: generalized method of moments spatial logit for large samples. Journal of Business and Economic Statistics 2008, 26:460-471.
47. Lambert D.M., Garret M.I., McNamara K.T. An application of spatial Poisson models to manufacturing investment location analysis. Journal of Agricultural and Applied Economics 2006, 38(1):105-121.
48. Lambert D.M., Garret M.I., McNamara K.T. Food industry investment flows: implications for rural development. Review of Regional Studies 2006, 36(2):140-162.
49. Lambert, D.M., McNamara, K.T., 2009. Location determinants of food manufacturers in the U.S., 2000-2004: are nonmetropolitan counties competitive? Agricultural Economics, forthcoming.
50. LeSage J.P. Bayesian estimation of limited dependent variable spatial autoregressive models. Geographical Analysis 2000, 32:19-35.
51. LeSage J.P., Fischer M.M., Scherngell T. Knowledge spillovers across Europe: evidence from a Poisson spatial interaction model with spatial effects. Papers in Regional Science 2007, 86(3):393-421.
52. LeSage J.P., Pace R.K. Introduction to Spatial Econometrics 2009, CRC Press, Taylor and Francis Group.
53. Pence, K.M., 2006. The role of wealth transformations: an application to estimating the effect of tax incentives on saving. Contributions to Economic Analysis & Policy 5(1), Article 20, 1-24.
54. Pinske J., Slade M.E. Contracting in space: an application of spatial statistics to discrete-choice model. Journal of Econometrics 1998, 85:125-154.
55. MATLAB® Spatial Econometric Toolbox. Available at http://www.spatial-econometrics.com.
56. McFadden D. Conditional Logit Analysis of Qualitative Choice Behavior. Frontiers in Econometrics 1974, Academic Press, New York. P. Zarembka (Ed.).
57. Murphy K., Topel R. Estimation and inference in two step econometric models. Journal of Business and Economic Statistics 1985, 3:370-379.
58. Research and Innovative Technology Administration (RITA) (2008), Bureau of Transportation Statistics. Accessed on 5/18/2008. http://www.transtats.bts.gov.
59. Rasmussen S. Modeling of discrete spatial variation in epidemiology with SAS using GLIMMIX. Computer Methods and Programs in Biomedicine 2004, 76(1):83-89.
60. Schabenberger O., Pierce F.J. Contemporary Statistical Models for the Plant and Soil Sciences 2002, CRC Press, New York.
61. Schmenner R.W., Huber J.C., Cook R.L. Geographic differences and the location of new manufacturing facilities. Journal of Urban Economics 1987, 21:83-104.
62. Smith E.D., Deaton B.J., Kelch D.R. Location determinants of manufacturing industry in rural areas. Southern Journal of Agricultural Economics 1978, 10:23-32.
63. U.S.Census Bureau Metropolitan and Micropolitan Statistical Areas http://www.census.gov/population/www/metroareas/metrodef.html.
64. U.S.Census Bureau Company Statistics Division Statistics of U.S. Businesses: Dynamic Data Accessed on 5/23/2008. http://www.census.gov/csd/susb/susbdyn.htm.
65. Census Bureau U.S. Census of Governments Accessed on 10/21/2008. http://www.census.gov/govs/www/cog97.html.
66. U.S.Census Bureau, U.S.Census Accessed on 11/1/2008. http://www.census.gov/main/www/cen2000.html.
67. U.S.Department of Transportation, Federal Highway Administration Highway Statistics Accessed on 3/11/2008. http://www.fhwa.dot.gov/ohim/hs00/re.htm.
68. Weber A. Theory of the Location of Industries 1929, The University of Chicago Press, Chicago, translated by Carl J. Friedrich.
69. Wheat L. The determinants of 1963-77 regional manufacturing growth: why the South and West grow. Journal of Regional Science 1986, 26(4):635-660.
70. Whittle P. On the stationary process in the plane. Biometrika 1954, 41:434-439.
71. Wojan T.R., McGranahan D.A. Ambient returns: creative capital's contribution to local manufacturing competitiveness. Agricultural and Resource Economics Review 2007, 36(1):133-148.
72. Woodward D.P. Location determinants of Japanese manufacturing start-ups in the United States. Southern Economics Journal 1992, 58:690-708.
73. Wooldridge J. Econometric Analysis of Cross Section and Panel Data 2002, Cambridge University Press, Cambridge.
74. Zeger S.L., Qaqish B. Markov regression models for time series: a quasi-likelihood approach. Biometrics 1988, 44:1019-1031.