Blowin' down the road: Investigating bilateral causality between dust storms and population in the Great Plains

Population Research and Policy Review

Volumn 22, Issue 4, 2003, Pages 297-331

  Deane, Glenn ^a   Gutmann, Myron P ^b  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Climate change; Granger causality; Population and environment; U.S. Great Plains

Indexed keywords

CLIMATE CHANGE; DUST STORM; NATURE-SOCIETY RELATIONS; POPULATION DISTRIBUTION; POPULATION DYNAMICS;

UNITED STATES;

EID: 0348159685     PISSN: 01675923     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1027374330129     Document Type: Article

References (61)

1. Adger, W.N. & Brown, K. (1994), Land use and the causes of global warming, Chichester: John Wiley.
2. Allison, P. (1993), Change scores as dependent variables in regression analysis, pp. 93-114 in P.V. Marsden (ed.), Sociological Methodology, Washington D.C.: American Sociological Association.
3. Behairy, A.K.A., El-Sayed, M.K., & Rao, N.V.D. (1985), Eolian dust in the coastal area north of Jeddah, Saudi Arabia, Journal of Arid Environments 8: 89-98.
4. Biggar, J.C. (1979), The sunning of America: Migration to the sunbelt, Population Bulletin 34(1): 1-42.
5. Bonnifield, P. (1979), The Dust Bowl: Men, Dirt, and Depression, Albuquerque: University of New Mexico Press.
6. Bratton, T.L. (1988), The identity of the New England Indian epidemic of 1616-19, Bulletin of the History of Medicine 62: 351-383.
7. Bryk, A.S. & Raudenbush, S.W. (1987), Application of hierarchical linear models to assessing change, Psychological Bulletin 101: 147-158.
8. Bryk, A.S. & Raudenbush, S.W. (1992), Hierarchical Linear Models: Applications and Data Analysis Methods, Newbury Park: Sage.
9. Chepil, W.S., Siddoway, F.H., & Armbrust, D.V. (1963), Climatic index of wind erosion conditions in the Great Plains, Soil Science Society of America Proceedings 27: 449-452.
10. Davidson, R. & MacKinnon, J.G. (1993), Estimation and Inference in Econometrics, New York: Oxford University Press.
11. Diamond, J. (1997), Guns, Germs, and Steel, New York: W.W. Norton & Company.
12. Dickinson, P.A. (1978), Retirement in the sunbelt, Modern Maturity (October and November): 11-15.
13. Engle, R.F. & Granger, C.W.J. (1987), Co-integration and error correction: Representation, estimation, and testing, Econometrica 55: 251-276.
14. Ervin, R.T. & Lee, J.A. (1994), Impact of conservation practices on airborne dust in the southern high plains of Texas, Journal of Soil and Water Conservation 49: 430-437.
15. Finnell, H.H. (1948), The dust storms of 1948, Scientific American 179(2): 7-11.
16. Finnell, H.H. (1954), The dust storms of 1954, Scientific American 191(1): 25-29.
17. Fuller, W.A. (1996), Introduction to Statistical Time Series, 2nd edn, New York: John Wiley.
18. Galloway, P.R. (1985), Annual variations in deaths by age, deaths by cause, prices, and weather in London 1670 to 1830, Population Studies 39: 487-505.
19. Galloway, P.R. (1986), Long-term fluctuations in climate and population in the preindustrial era, Population and Development Review 12: 1-24.
20. Goudie, A.S. & Middleton, H.J. (1992), The changing frequency of dust storms through time, Climatic Change 20: 197-225.
21. Granger, C.W.J. (1969), Investigating causal relations by econometric models and cross-spectral methods, Econometrica 37: 424-438.
22. Gujarati, D.N. (1995), Basic econometrics, 3rd edn, New York: McGraw-Hill.
23. Hofmann, D.A. & Gavin, M.B. (1998), Centering decisions in hierarchical linear models: implications for research in organizations, Journal of Management 24: 623-641.
24. Holtz-Eakin, D., Newey, W., & Rosen, H.S. (1988), Estimating vector autoregressions with panel data, Econometrica 56: 1371-1395.
25. Jauregui, E. (1989), The dust storms of Mexico City, International Journal of Climatology 9: 169-180.
26. Karl, T.R., Williams, Jr., C.N., Quinlan, F.T., & Boden, T.A. (1990), United States historical climatology network (HCN) serial temperature and precipitation data, Environmental Science Division, Publication No. 3404, Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN.
27. Karney, B.R. & Bradbury, T.N. (1995), Assessing longitudinal change in marriage: An introduction to the analysis of growth curves, Journal of Marriage and the Family 57: 1091-1108.
28. Kreft, I.G.G. & de Leeuw, J. (1998), Introducing Multilevel Modeling, Thousand Oaks, CA.: Sage.
29. Laird, N.M. & Ware, J.H. (1982), Random effects models for longitudinal data, Biometrics 38: 963-974.
30. Lee, J.A. & Tchakerian, V.P. (1995), Magnitude and frequency of blowing dust on the southern high plains of the United States, 1947-1989, Annals of the Association of American Geographers 85: 684-693.
31. Lee, R.D. (1981), Short-run fluctuations of vital rates, prices and weather in England, 1539 to 1840, pp. 356-401 in E.A. Wrigley & R. Schofield (eds.), The Population History of England, 1541-1871: A Reconstruction, Cambridge, MA: Harvard University Press.
32. Long, L.E. (1987), Migration and Residential Mobility in the United States, New York: Russell Sage Foundation.
33. Marsh, G.P. (1874), The Earth as Modified by Human Action, New York: Scribner, Armstrong & Company.
34. McNeill, W.H. (1976), Plagues and Peoples, New York: Doubleday.
35. Meyer, W.B. & Turner II, B.L. (1994), Changes in Land Use and Land Cover: A Global Perspective, Cambridge: Cambridge University Press.
36. Mills, T.C. (1990), Time Series Techniques for Economists, Cambridge: Cambridge University Press.
37. National Academy of Sciences (1993), Population and Land Use in Developing Countries, Washington, D.C.: National Academy Press.
38. Pakes, A. & Griliches, Z. (1984), Estimating distributed lags in short panels with an application to the specification of depreciation patterns and capital constructs, Review of Economic Studies 243-262.
39. Perlin, J. (1989), A Forest Journey: The Role of Wood in the Development of Civilization, New York: W.W. Norton.
40. Preston, S.H. (1993), The contours of demography: Estimates and projections, Demography 30: 593-606.
41. Raffalovich, L.E. (1994), Detrending time series: A cautionary note, Sociological Methods and Research 22: 492-519.
42. Raftery, A.E. (1995), Bayesian model selection in social research, pp. 111-163 in P.V. Marsden (ed.), Sociological Methodology, Cambridge, MA: Blackwell.
43. Rao, C.R. (1965), The theory of least squares when parameters are stochastic and its application to the analysis of growth curves, Biometrika 52: 447-458.
44. Richards, J.F. & Tucker, R.P., eds. (1988), World Deforestation in the Twentieth Century, Durham, N.C.: Duke University Press.
45. Rogosa, D.R., Brandt, D., & Zimowski, M. (1982), A growth curve approach to the measurement of change, Psychological Bulletin 90: 726-748.
46. Rogosa, D.R. & Willett, J.B. (1985), Understanding correlates of change by modeling individual differences in growth, Psychometrika 50: 203-228.
47. SAS Institute, Inc. (1988), SAS/ETS User's Guide, Version 6, 1st edn, Cary, N.C.: SAS Institute, Inc.
48. SAS Institute, Inc. (1997), SAS/STAT Software: Changes and Enhancements through Release 6.12, Cary, N.C.: SAS Institute, Inc.
49. Sauer, C.O. (1963), Land and Life: A Selection from the Writings of Carl Ortwin Sauer, Berkeley: University of California Press.
50. Schwarz, G. (1978), Estimating the Dimension of a Model, Annals of Statistics 6: 461-464.
51. Sims, C.A. (1972), Money, income, and causality, American Economic Review 62: 540-552.
52. Sims, C.A. (1980), Macroeconomics and reality, Econometrica 48: 1-48.
53. Steward, J.H. (1978), Initiation of a research trend: Wittfogel's irrigation Hypothesis, pp. 3-14 in G.L. Ulmen (ed.), Society and History: Essays in Honor of Karl August Wittfogel, The Hague: Mouton Publishers.
54. Stolzenberg, R.M. (1980), The measurement and decomposition of causal effects in nonlinear and nonadditive models, pp. 459-488 in K.F. Schuessler (ed.), Sociological Methodology, San Francisco: Jossey-Bass.
55. U.S. Dept. of Commerce [Bureau of the Census] (1967), County and City Data Book, Washington: Supt. of Docs., U.S. Govt. Print.
56. Willett, J.B., Singer, J.D., & Martin, N.C. (1998), The design and analysis of longitudinal studies of development and psychopathology in context: Statistical models and methodological recommendations, Development and Psychology 10: 395-426.
57. Wittfogel, K.A. (1935), The foundations and stages of Chinese economic history, Zeitschrift für Sozialforschung 4: 26-60.
58. Wittfogel, K.A. (1939-1940), The society of prehistoric China, Studies in Philosophy and Social Science 8: 138-186.
59. Wittfogel, K.A. (1957), Oriental Despotism; A Comparative Study of Total Power, New Haven: Yale University Press.
60. Wolfinger, R. (1993), Covariance structure selection in general mixed models, Communications in Statistics - Simulations 22: 1079-1106.
61. Worster, D. (1979), Dust Bowl: The Southern Plains in the 1930s, New York: Oxford University Press.