Mitch Kunce
DouglasMitchell Econometric Consulting Laramie, WY USA

MLA 8
Kunce, Mitch. "SOCIOECONOMIC EFFECTS ON ALL-CAUSE MORTALITY: EVIDENCE FROM THE AMERICAN RURAL WEST." Int. j. of Social Science and Economic Research, vol. 6, no. 10, Oct. 2021, pp. 4172-4187, doi.org/10.46609/IJSSER.2021.v06i10.042. Accessed Oct. 2021.
APA 6
Kunce, M. (2021, October). SOCIOECONOMIC EFFECTS ON ALL-CAUSE MORTALITY: EVIDENCE FROM THE AMERICAN RURAL WEST. Int. j. of Social Science and Economic Research, 6(10), 4172-4187. Retrieved from doi.org/10.46609/IJSSER.2021.v06i10.042
Chicago
Kunce, Mitch. "SOCIOECONOMIC EFFECTS ON ALL-CAUSE MORTALITY: EVIDENCE FROM THE AMERICAN RURAL WEST." Int. j. of Social Science and Economic Research 6, no. 10 (October 2021), 4172-4187. Accessed October, 2021. doi.org/10.46609/IJSSER.2021.v06i10.042.

References

[1]. Bartels, R. and Goodhew, J. (1981) The robustness of the Durbin-Watson test. Review of Economics and Statistics 63, pp. 136-139.
[2]. Chow, G. (1960) Tests of equality between sets of coefficients in two linear regressions. Econometrica 28, pp. 591-605.
[3]. Cosby, A., McDoom-Echebiri, M., James, W., Khandekar, H., Brown, W. and Hanna, H. (2019) Growth and persistence of placed-based mortality in the United States: The rural mortality penalty. American Journal of Public Health 109(1), pp. 155-162.
[4]. Cosby, A., Neaves, T., Cossman, R., Cossman, J., James, W. and Feierabend, N. (2008) Preliminary evidence for an emerging nonmetropolitan mortality penalty in the United States. American Journal of Public Health 98(8), pp. 1470–1472.
[5]. Gong, G., Phillips, S., Hudson, C., Curti, D. and Phillips, B. (2019) Higher U.S. rural mortality rates linked to socioeconomic status, physician shortages, and lack of health insurance. Health Affairs 38(12), pp. 2003-2010.
[6]. Hausman, J. (1978) Specification tests in econometrics. Econometrica 46(6), pp. 1251-1271.
[7]. Hausman, J. and Taylor, W. (1981) Panel data and unobservable individual effects. Econometrica 49(6), pp. 1377-1398.
[8]. Holderness, C. (2016) Problems using aggregate data to infer individual behavior: Evidence from law, finance, and ownership concentration. Critical Finance Review 5(1), pp. 1-40.
[9]. James, W. (2014) All rural places are not created equal: Revisiting the rural mortality penalty in the U.S. American Journal of Public Health 104(11), pp. 2122-2129.
[10]. Kunce, M. (2021) The impact of socioeconomic factors on state suicide rates: Revisited. Journal of Statistical and Econometric Methods 10(4), pp. 1-14.
[11]. National Vital Statistics Reports. (2017) Volume 66, Number 6.
[12]. Pesaran, M. (2020) General diagnostic tests of cross-sectional dependence in panels. Empirical Economics 60, pp. 13-50.
[13]. Spencer, J., Wheeler, S., Rotter, J. and Holmes, G. (2018) Decomposing mortality disparities in urban and rural U.S. counties. Health Services Research 53(6), pp. 4310-4331.
[14]. Stroker, T. (1993) Empirical approaches to the problem of aggregation over individuals. Journal of Economic Literature 31, pp. 1827-1874.
[15]. Vespa, J., Medina, L., and Armstrong, D. (2020) Demographic turning points for the United States. P25-1144. U.S. Census Bureau, Washington, D.C.
[16]. Wyhowski, D. (1994) Estimation of a panel data model in the presence of correlation between regressors and a two-way error component. Econometric Theory 10, pp. 130 - 139.
[17]. Wyoming County Profiles. Department of Administration and Information, Economic Analysis Division. State of Wyoming. http://eadiv.state.wy.us/ for examples.
[18]. Zhao, Y., Xu, X., Dupre, M., Xie, Q., Qiu, L. and Gu, D. (2020) Individual-level factors attributable to urban-rural disparity in mortality among older adults in China. BMC Public Health 20:1472, pp. 1-11.