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Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application

Published online by Cambridge University Press:  26 January 2015

Kathy Baylis ,
Nicholas D. Paulson  and
Gianfranco Piras
Kathy Baylis
Affiliation:
Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, Illinois
Nicholas D. Paulson
Affiliation:
Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, Illinois
Gianfranco Piras
Affiliation:
Regional Research Institute, University of West Virginia, Morgantown, West Virginia
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Abstract

Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatial econometric methods for panel data. We then illustrate some of these tools within a climate change application using a hedonic model of farmland values and panel data. Estimates for the model are provided across a range of nonspatial and spatial estimators, including spatial error and spatial lag models with fixed and random effects extensions. Given the importance of location and extensive use of panel data in many subfields of agricultural economics, these recently developed spatial panel methods hold great potential for applied researchers.

Keywords

climate changepanel dataspatial econometricsC33Q10Q54
Type
Invited Paper Sessions
Information
Journal of Agricultural and Applied Economics , Volume 43 , Issue 3 , August 2011 , pp. 325 - 338
Copyright
Copyright © Southern Agricultural Economics Association 2011

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References

Adams, R. “Global Climate Change and Agriculture: An Economic Perspective.” American Journal of Agricultural Economics 71,5(1989):1272-79.CrossRefGoogle Scholar
Adams, R., Fleming, R., McCarl, B.A., and Rosenzweig, C. “A Reassessment of the Economic Effects of Climate Change on U.S. Agriculture.” Climatic Change 30(1995):147-67.CrossRefGoogle Scholar
Adams, R., McCarl, B., Dudek, D., and Glyer, D. “Implications of Global Climate Change for Western Agriculture.” Western Journal of Agricultural Economics 13,2(1988):348–56.Google Scholar
Adams, R., Rosenzweig, C., Pearl, R., Ritchie, J., McCarl, B., Glyer, D., Curry, B., Jones, J., Boote, K., and Hartwell, A. “Global Climate Change and U.S. Agriculture.” Nature 345,6272(1990):219-24.CrossRefGoogle Scholar
Albers, H.J., Ando, A.W., and Chen, X. “Spatial-Econometrics Analysis of Attraction and Repulsion of Private Conservation by Public Reserves.” Journal of Environmental Economics and Management 56(2008):33-9.CrossRefGoogle Scholar
Anselin, L. “Spatial Effects in Econometric Practice in Environmental and Resource Economics.” American Journal of Agricultural Economics 83,3(2001):705-10.CrossRefGoogle Scholar
Anselin, L. “Under the Hood Issues in the Specification and Interpretation of Spatial Regression Models.” Agricultural Economics 27,2(2002):247-67.CrossRefGoogle Scholar
Anselin, L., Bongiovanni, R., and Lowenber-DeBoer, J. “A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production.” American Journal of Agricultural Economics 86,3(2004):675-87.CrossRefGoogle Scholar
Anselin, L., Le Gallo, J., and Jayet, H. “Spatial Panel Econometrics.” The Econometrics of Panel Data, Fundamentals and Recent Developments in Theory and Practice. Matyas, L. and Sevestre, P., eds. 3rd ed. Berlin, Heidelberg, Germany: Springer-Verlag, 2008, pp. 624-60.Google Scholar
Anselin, L., and Lozano-Gracia, N. “Errors in variables and spatial effects in hedonic house price models of ambient air quality.” Empirical Economics 34(2008):5–34.CrossRefGoogle Scholar
Anselin, L., and Lozano-Gracia, N. “Uwe Deichmann and S. Lall. “Valuing Access to Water—A Spatial Hedonic Approach with an Application to Bangalore, India.” Spatial Economic Analysis 5,2(2010):161–79.CrossRefGoogle Scholar
Baltagi, B.Econometric Analysis of Panel Data. 4th ed. New York: Wiley, 2008.Google Scholar
Baltagi, B., Egger, P., and Pfafermayr, M. “Estimating Models of Complex FDI: Are There Third-Country Effects?” Journal of Econometrics 140(2007a):260-81.CrossRefGoogle Scholar
Baltagi, B., Egger, P., and Pfafermayr, M. “A Generalized Spatial Panel Data Model with Random Effects.” CPR Working paper series, 2009.CrossRefGoogle Scholar
Baltagi, B., Kelejian, H., and Prucha, I. “Analysis of Spatially Dependent Data.” Journal of Econometrics 140(2007b):1–4.CrossRefGoogle Scholar
Baltagi, B., and Liu, L. “Testing for Random Effects and Spatial Lag Dependence in Panel Data Models.” Statistics & Probability Letters 78(2008):3304-306.CrossRefGoogle Scholar
Baltagi, B., and Pirotte, A. “Seemingly Unrelated Regressions with Spatial Error Components.” Empirical Economics 40,1(2011):5–49.CrossRefGoogle Scholar
Baltagi, B., Song, S., and Koh, W. “Testing Panel Data Regression Models with Spatial Error Correlation.” Journal of Econometrics 117(2003): 123-50.CrossRefGoogle Scholar
Baltagi, B., Song, S., and Koh, W. “Testing for Serial Correlation, Spatial Autocorrelation and Random Effects Using Panel Data.” Journal of Econometrics 140,1(2007c):5–51.CrossRefGoogle Scholar
Baylis, K., Garduno-Rivera, R., and Piras, G. “The Distributional Effects of NAFTA: Evidence from a Panel of Municipalities.” Working paper, Agricultural and Consumer Economics, University of Illinois, Urbana, IL. 2010.Google Scholar
Bramoulle, Y., Djebbari, H., and Fortin, B. “Identification of peer effects through social networks.” Journal of Econometrics 150(2009):41–55.CrossRefGoogle Scholar
Callaway, J., Cronin, F., Currie, J., and Tawil, J. “An Analysis of Methods and Models for Assessing the Direct and Indirect Economic Impacts of C02-Induced Environmental Changes in the Agricultural Sector of the U.S. Economy.” Richland, WA: Pacific Northwest Laboratory, 1982.Google Scholar
Cline, W.The Economics of Global Warming. Washington, DC: Institute of International Economics, 1992.Google Scholar
Cohen, J.P., and Coughlin, C.C. “Spatial Hedonic Models of Airport Noise, Proximity and Housing Prices.” Journal of Regional Science 48,5(2008):859-78.CrossRefGoogle Scholar
Deschenes, O., and Greenstone, M. “The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather.” American Economic Review 97(2007):354-85.CrossRefGoogle Scholar
Du, X., Hennessy, D.A., and Edwards, W.M. “Determinants of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory.” Working Paper 07-WP 454, Ames, IA: Iowa State University, 2007.Google Scholar
Elhorst, J. “Specification and Estimation of Spatial Panel Data Models.” International Regional Science Review 26,3(2003):244-68.CrossRefGoogle Scholar
Elhorst, J. “Spatial Panel Data Models.” Handbook of Applied Spatial Analysis. Fischer, M.M. and Getis, A., eds. Berlin, Heidelberg, New York: Springer, 2009.Google Scholar
Elhorst, J., Piras, G., and Arbia, G. “Growth and Convergence in a Multi-regional model with Space-Time Dynamics.” Geographical Analysis 41 (2010):33S–55.Google Scholar
Fisher, A.C., Hanemann, W.M., Roberts, M.J., and Schlenker, W. “The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Comment.” American Economic Review.Google Scholar
Helmers, C, and Patnam, M. “Does the Rotten Child Spoil His Companion? Spatial Peer Effects Among Children in Rural India.” Working paper, CSAE WPSX2010-13, 2010.Google Scholar
Holloway, G., Shankar, B., and Rahmanb, S. “Bayesian Spatial Probit Estimation: A Primer and an Application to HYV Rice Adoption.” Agricultural Economics 27(2002):383–402.CrossRefGoogle Scholar
Honey-Roses, J., Baylis, K., and Ramirez, I. “A Spatially-Explicit Estimate of Avoided Forest Loss.” Conservation Biology Forthcoming.Google Scholar
Huang, H., Miller, G., Sherrick, B., and Gomez, M. “Factors Influencing Illinois Farmland Values.” American Journal of Agricultural Economics 88,2(2006):458-70.CrossRefGoogle Scholar
Kapoor, M., Kelejian, H.H., and Prucha, I.R. “Panel Data Model with Spatially Correlated Error Components.” Journal of Econometrics 140,1(2007):97–130.CrossRefGoogle Scholar
Kelejian, H.H., and Prucha, I.R. “A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model.” International Economic Review 40(1999):509-33.CrossRefGoogle Scholar
Kelejian, H.H., and Prucha, I.R. “Estimation of Systems of Spatially Interrelated Cross Sectional Equations.” Journal of Econometrics 118(2004):27–50.CrossRefGoogle Scholar
Kelejian, H.H., and Prucha, I.R. “HAC Estimation in a Spatial Framework.” Journal of Econometrics 140(2007):131-54.CrossRefGoogle Scholar
Kim, C.W., Phipps, T.T., and Anselin, L. “Measuring the Benefits of Air Quality Improvement: A Spatial Hedonic Approach.” Journal of Environmental Economics and Management 45,1(2003):24–39.CrossRefGoogle Scholar
Korniotis, G.M. “Estimating Panel Models with Internal and External Habit Formation.” Journal of Business & Economic Statistics 28(2010):145-58.CrossRefGoogle Scholar
Langyintuo, A., and Mekuria, M. “Assessing the Influence of Neighborhood Effects on the Adoption of Improved Agricultural Technologies in Developing Agriculture.” African Journal of Agricultural and Resource Economics 2,2(2008):151–169.Google Scholar
Lee, L. “Best Spatial Two-Stage Least Square Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances.” Econometric Reviews 22(2003):307-35.CrossRefGoogle Scholar
Lee, L., and Yu, J. “Estimation of Spatial Autoregressive Panel Data Models with Fixed Effects.” Journal of Econometrics 154,2(2009a):165-85.CrossRefGoogle Scholar
Lee, L., and Yu, J. “A Unified Transformation Approach to the Estimation of Spatial Dynamic Panel Data Models: Stability, Spatial Cointegration and Explosive Roots.” Ohio State University, unpublished manuscript, 2009b.Google Scholar
Lee, L., and Yu, J. “A Spatial Dynamic Panel Data Model with Both Time and Individual Fixed Effects.” Econometric Theory 26,2(2010):564-97.CrossRefGoogle Scholar
Leggetta, C.G., and Bockstael, N.E. “Evidence of the Effects of Water Quality on Residential Land Prices.” Journal of Environmental Economics and Management 39,2(2000):121-44.CrossRefGoogle Scholar
LeSage, J.P., and Pace, R.K.Introduction to Spatial Econometrics. Boca Raton, FL: CRC Press, 2009.CrossRefGoogle Scholar
Mendelsohn, R., Nordhaus, W.D., and Shaw, D. “The Impact of Global Warming on Agriculture: A Ricardian Analysis.” American Economic Review 84,4(1994):753-71.Google Scholar
Mertens, B., Poccard-Chapuis,, R.Piketty, M.G., Lacques, A.E., and Venturieri, A. “Crossing Spatial Analyses and Livestock Economics to Understand Deforestation Processes in the Brazilian Amazon: The Case of Sāo Félix do Xingu in South Para.” Agricultural Economics 27,3(2002):269-94.CrossRefGoogle Scholar
Millo, G., and Piras, G. “Implementation of ML Estimation for Spatial Panels.” Unpublished manuscript, 2009a.Google Scholar
Millo, G., and Piras, G. “Splm: Spatial Panel Data Models in R.” Unpublished manuscript, 2009b.Google Scholar
Müller, D., and Zeller, M. “Land Use Dynamics in the Central Highlands of Vietnam: A Spatial Model Combining Village Survey Data with Satellite Imagery Interpretation.” Agricultural Economics 27,3(2002):333-54.CrossRefGoogle Scholar
Munroe, D.K., Southworth, J., and Tucker, C.M. “The Dynamics of Land-Cover Change in Western Honduras: Exploring Spatial and Temporal Complexity.” Agricultural Economics 27,3(2002):355-69.CrossRefGoogle Scholar
Mutl, J., and Pfaffermayr, M. “The Spatial Random Effects and the Spatial Fixed Effects Model. The Hausman Test in a Cliff and Ord Panel Model.” Economics Series 229. Vienna, Austria: Institute for Advanced Studies, 2008.Google Scholar
National Research Council. Changing Climate. Washington, DC: National Academy Press, 1983.Google Scholar
Nelson, G.C. “Introduction to the Special Issue on Spatial Analysis for Agricultural Economists.” Agricultural Economics 27(2002):197–200.CrossRefGoogle Scholar
Newburn, D.A., Berck, P., and Merenlender, A.M. “Habitat and Open Space at Risk of Land-Use Conversion: Targeting Strategies for Land Conservation.” American Journal of Agricultural Economics 88,1(2006):28–42.CrossRefGoogle Scholar
Parent, O., and LeSage, J.P. “A Spatial Dynamic Panel Model with Random Effects Applied to Commuting Time.” Transportation Research Part B: Methodological 44(2010):633-45.CrossRefGoogle Scholar
Pesaran, H., and Tosetti, E. “Large Panels with Common Factors and Spatial Correlations.” Cambridge University, working paper, 2007.CrossRefGoogle Scholar
Piras, G. “Sphet: Spatial Models with Hetero-skedastic Innovations in R.” Journal of Statistical Software 35,1(2010):1–21.CrossRefGoogle Scholar
Popp, M., Rudstrom, M., and Manning, P. “Spatial Yield Risk across Region, Crop and Aggregation Method.” Canadian Journal of Agricultural Economics 53(2005):103–15.CrossRefGoogle Scholar
R Development Core Team. R: A Language and Environment for Statistical Computing.” Vienna, Austria: R Foundation for Statistical Computing, 2010. Internet site: www.R-project.org/ (Accessed November 15, 2010).Google Scholar
Rind, D., Goldberg, R., Hansen, J., Rosenzweig, C., and Ruedy, R. “Potential Evapotranspiration and the Likelihood of Future Drought.” Journal of Geophysical Research 95,D7(2002):9983–10004.CrossRefGoogle Scholar
Rozenzweig, C., and Parry, M.L. “Potential Impact of Climate Change on World Food Supply.” Nature 367,6459(1994):133-38.CrossRefGoogle Scholar
Schlenker, W., Hanemann, W.M., and Fisher, A.C. “Will U.S. Agriculture Really Benefit from Global Warming? Accounting for Irrigation in the Hedonic Approach.” American Economic Review 95,1(2005):395–406.CrossRefGoogle Scholar
Schlenker, W., Hanemann, W.M., and Fisher, A.C. “The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions.” The Review of Economics and Statistics 88,1(2006):113–25.CrossRefGoogle Scholar
Smith, J., and Tirpak, D. (eds). The Potential Effects of Global Climate Change on the United States: Report to Congress, EPA-230-05-89-050. Washington, DC: Environmental Protection Agency, 1989.Google Scholar
Woodard, J.D., Schnitkey, G.D., Sherrick, B.J., Lozano-Gracia, N., and Anselin, L. “A Spatial Econometric Analysis of Loss Experience in the U.S. Crop Insurance Program.” Journal of Risk and Insurance 78(2011). doi:10.1111/j. 1539-6975.2010.01397.X.Google Scholar
Woodard, S., Paulson, N.D., Baylis, K., and Woodard, J.D. “A Spatial Analysis of Illinois Agricultural Cash Rents.” Working paper, Department of Agricultural and Consumer Economics, University of Illinois at Urbana—Champaign, 2010.Google Scholar
Yu, J., and Lee, L. “Estimation of Unit Root Spatial Dynamic Panel Data Models.” Econometric Theory 26(2010):1332-62.CrossRefGoogle Scholar