Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices

Journal of Urban Economics

Volumn 80, Issue , 2014, Pages 76-86

  Baltagi, Badi H ^a   Fingleton, Bernard ^b   Pirotte, Alain ^c,d  

^a SYRACUSE UNIVERSITY   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c INRIA   (France)

^d Lab Economic and Social Dynamics of Transport   (France)

Author keywords

House prices; Instrumental variables; Nested random effects; Panel data; Spatial dependence; Spatial lag

Indexed keywords

EID: 84888081757     PISSN: 00941190     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jue.2013.10.006     Document Type: Article

References (46)

1. Ahrens H., Pincus R. On two measures of unbalancedness in a one-way model and their relation to efficiency. Biometric Journal 1981, 23:227-235.
2. Anselin L. Spatial Econometrics: Methods and Models 1988, Kluwer Academic Publishers, Dordrecht.
3. Anselin L. Thirty years of spatial econometrics. Papers in Regional Science 2010, 89:3-25.
4. Anselin L., Le Gallo J., Jayet H. Spatial panel econometrics. The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice 2008, 625-660. Springer-Verlag, Berlin, (Chapter 19). L. Mátyás, P. Sevestre (Eds.).
5. Antweiler W. Nested random effects estimation in unbalanced panel data. Journal of Econometrics 2001, 101:295-313.
6. Baltagi B.H. Econometric Analysis of Panel Data 2008, Wiley, Chichester.
7. Baltagi B.H. Spatial panels. The Handbook of Empirical Economics and Finance 2011, 435-454. Chapman and Hall, (Chapter 15). A. Ullah, D.E.A. Giles (Eds.).
8. Baltagi B.H., Liu L. Instrumental variable estimation of a spatial autoregressive panel model with random effects. Economics Letters 2011, 111:135-137.
9. Baltagi B.H., Song S.H., Jung B.C. The unbalanced nested error component regression model. Journal of Econometrics 2001, 101:357-381.
10. Baltagi B.H., Song S.H., Jung B.C. Simple LM tests for the unbalanced nested error component regression model. Econometric Reviews 2002, 21:167-187.
11. Baltagi B.H., Kao C., Liu L. The estimation and testing of a linear regression with near unit root in the spatial autoregressive error term. Spatial Economic Analysis 2013, 8:241-270.
12. Barro R.J. Determinants of Economic Growth: A Cross-Country Empirical Study 1997, MIT Press, Cambridge, MA.
13. Behrens K., Robert-Nicoud F. Krugman papers in regional science: the 100 dollar bill on the sidewalk is gone and the 2008 nobel prize well-deserved. Papers in Regional Science 2009, 88:467-489.
14. Brakman S., Garretsen H., Schramm M. The spatial distribution of wages: estimating the Helpman-Hanson model for Germany. Journal of Regional Science 2004, 44:437-466.
15. Corrado, L., Fingleton, B., 2011. Multilevel modelling with spatial effects. Discussion paper no. 11-05, University of Strathclyde.
16. Corrado L., Fingleton B. Where is the economics in spatial econometrics?. Journal of Regional Science 2012, 52:210-239.
17. Elhorst J.P. Dynamic models in space and time. Geographical Analysis 2001, 33:119-140.
18. Elhorst J.P. Specification and estimation of spatial panel data models. International Regional Science Review 2003, 26:244-268.
19. Elhorst J.P. Spatial panel data models. Handbook of Applied Spatial Analysis 2010, 377-405. Springer-Verlag, Berlin, (Chapter 2). M.M. Fischer, A. Getis (Eds.).
20. Elhorst J.P. Applied spatial econometrics: raising the bar. Spatial Economic Analysis 2010, 5:9-28.
21. Felsenstein D., Beenstock M., Feldman D. Testing for unit roots and cointegration on spatial cross section data. Spatial Economic Analysis 2012, 7:203-222.
22. Fingleton B. Spurious spatial regression: some Monte Carlo results with spatial unit roots and spatial cointegration. Journal of Regional Science 1999, 39:1-19.
23. Fingleton B. A cross-sectional analysis of residential property prices: the effects of income, commuting, schooling, the housing stock and spatial interaction in the English regions. Papers in Regional Science 2006, 85:339-361.
24. Fingleton B. A generalized method of moments estimator for a spatial model with moving average errors, with application to real estate prices. Empirical Economics 2008, 34:35-57.
25. Fingleton B. A generalized method of moments estimator for a spatial panel model with an endogenous spatial lag and spatial moving average errors. Spatial Economic Analysis 2008, 3:27-44.
26. Fingleton B. Housing supply, housing demand, and affordability. Urban Studies 2008, 45:1545-1563.
27. Fingleton, B., 2009. Simulating wages and house prices using the NEG. SERC Discussion Paper No. SERCDP0021, Spatial Economics Research Centre, London School of Economics.
28. Fingleton B., Le Gallo J. Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: finite sample properties. Papers in Regional Science 2008, 87:319-339.
29. Fujita M., Krugman P.R., Venables A. The Spatial Economy: Cities, Regions, and International Trade 1999, MIT Press, Cambridge, MA.
30. Fuller W.A., Battese G.E. Transformations for estimation of linear models with nested error structures. Journal of the American Statistical Association 1973, 68:626-632.
31. Glaeser E.L. Cities, Agglomeration, and Spatial Equilibrium 2008, Oxford University Press, Oxford.
32. Hanson G.H. Scale economies and the geographic concentration of industry. Journal of Economic Geography 2001, 1:255-276.
33. Hanson G.H. Market potential, increasing returns and geographic concentration. Journal of International Economics 2005, 67:1-24.
34. Hausman J. Specification tests in econometrics. Econometrica 1978, 46:1251-1271.
35. Helpman E. The size of regions. Topics in Public Economics 1998, 33-54. Cambridge University Press. D. Pines, E. Sadka, I. Zilcha (Eds.).
36. Higgins M.J., Levy D., Young A.T. Growth and convergence across the United States: Evidence from county-level data. Review of Economics and Statistics 2006, 88:671-681.
37. Kelejian H.H., Prucha I.R. A generalized spatial two-stage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances. Journal of Real Estate Finance and Economics 1998, 17:99-121.
38. Kelejian H.H., Prucha I.R., Yuzefovich Y. Instrumental variable estimation of a spatial autoregressive model with autoregressive disturbances: large and small sample results. Advances in Econometrics 2004, 18:163-198.
39. Lauridsen J., Kosfeld R. A Wald test for spatial nonstationarity. Estudios de Economia Aplicada 2004, 22:475-486.
40. Lauridsen J., Kosfeld R. A test strategy for spurious spatial regression, spatial nonstationarity, and spatial cointegration. Papers in Regional Science 2006, 85:363-377.
41. Lee L.-F. Best spatial two-stage least square estimators for a spatial autoregressive model with autoregressive disturbances. Econometric Reviews 2003, 22:307-335.
42. Lee L.-F., Yu J. Near unit root in the spatial autoregressive model. Spatial Economic Analysis 2013, 8:314-351.
43. Manski C.F. Identification of endogenous social effects: the reflection problem. Review of Economic Studies 1993, 60:531-542.
44. Montmarquette C., Mahseredjian S. Does school matter for educational achievement? A two-way nested-error components analysis. Journal of Applied Econometrics 1989, 4:181-193.
45. Mur J., Trivez F.J. Unit roots and deterministic trends in spatial econometric models. International Regional Science Review 2003, 26:289-312.
46. Partridge M.D. Does income distribution affect U.S. state economic growth?. Journal of Regional Science 2005, 45:363-394.