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The University of Tennessee | Institute of Agriculture

Department of Agricultural and Resource Economics

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Dr. Dayton Lambert
Associate Professor

Department of Agricultural and Resource Economics

The University of Tennessee
321A Morgan Hall
Knoxville, Tennessee 37996-4518
Phone: (865) 974-7472
dmlambert@tennessee.edu

 

Professional Interest


  • Regional economies and rural development
  • Location theory
  • Spatial econometrics
  • Survey design and implementation
  • Technology adoption

Education


  • Ph.D., Agricultural Economics, Purdue University, 2005
  • M.S. Fisheries and Aquaculture, Auburn University, 1998
  • M.A. Cultural Anthropology, Rutgers University, 1991
  • B.A. Anthropology, Miami University of Ohio, 1989

Teaching


Recent Publications

Additional publications can be found listed in Dayton's curriculum vitae.

  • Lambert, DM, CN Boyer, L He. Spatial-temporal Heteroskedastic Robust Covariance Estimation for Markov Transition Probabilities: An Application Examining Land Use Change. In Press. Letters in Spatial and Regional Science. Early online, doi:10.1007/s12076-015-0164-0.

  • Lambert, DM, K Paudel, JA Larson. 2015. Bundled Adoption of Precision Agriculture Technologies by Cotton Producers. Journal of Agricultural and Resource Economics, 40(2):1–21, http://www.waeaonline.org/UserFiles/file/JAREMay20158Lambertpp325-345.pdf.

  • Jensen, KL, DM Lambert, CD Clark, BC English, TE Yu, JA Larson, C Holt, CM Hellwinckel. 2015. Cattle Producers’ Willingness to Adopt or Expand Prescribed Grazing in the United States. Journal of Agricultural and Applied Economics, 47(2):213–242, doi:10.1017/aae.2015.6.

  • McNair, WE, DM Lambert, NS Eash. 2015. Conservation Agriculture Practices and Participation in Manica and Tete Maize Markets, Mozambique. African Journal of Economic and Sustainable Development, 4(1):49–73, doi: 10.1504/AJESD.2015.068514.

  • Wojan, TR, JP Brown, DM Lambert. 2014. What to Do About the “Cult of Statistical Significance?”: An Ex-post evaluation of Ethanol Bio-Refinery Employment Impacts using the Neyman-Pearson Protocol. Applied Economics and Perspectives and Policy, 36(4):674–695,doi:10.1093/aepp/ppu013.

  • Pede, VO, RJGM Florax, DM Lambert. 2014. Spatial Econometric STAR Models: Lagrange Multiplier Tests, Monte Carlo Simulations and an Empirical Application. Regional Science and Urban Economics,48(4):118–128, http://dx.doi.org/10.1016/j.regsciurbeco.2014.07.001

  • Lambert, DM, BC English, DC Harper, SL Larkin, JA Larson, DF Mooney, RK Roberts, M Velandia, JM Reeves. 2014. Adoption and Frequency of Precision Soil Testing in Cotton Production. Journal of Agricultural and Resource Economics, 39(1):115–132, http://www.waeaonline.org/UserFiles/file/JAREApr20147Lambertpp106-123.pdf