REFERENCES
- Andreoli, F. (2018). Robust inference for inverse stochastic dominance. Journal of Business & Economic Statistics, 36(1), 146–159. https://doi.org/10.1080/07350015.2015.1137758
- Andreoli, F., & Peluso, E. (2018). So close yet so unequal: Neighborhood inequality in American cities. ECINEQ Working paper 2018-477.
- Baum-Snow, N., & Pavan, R. (2013). Inequality and city size. The Review of Economics and Statistics, 95(5), 1535–1548. https://doi.org/10.1162/REST_a_00328
- Biondi, F., & Qeadan, F. (2008). Inequality in paleorecords. Ecology, 89(4), 1056–1067. https://doi.org/10.1890/07-0783.1
- Bishop, J. A., Chakraborti, S., & Thistle, P. D. (1989). Asymptotically distribution-free statistical inference for generalized Lorenz curves. The Review of Economics and Statistics, 71(4), 725–727. http://www.jstor.org/stable/1928121 https://doi.org/10.2307/1928121
- Chakravorty, S. (1996). A measurement of spatial disparity: The case of income inequality. Urban Studies, 33(9), 1671–1686. https://doi.org/10.1080/0042098966556
- Chetty, R., & Hendren, N. (2018). The impacts of neighborhoods on intergenerational mobility i: Childhood exposure effects. The Quarterly Journal of Economics, 133(3), 1107–1162. https://doi.org/10.1093/qje/qjy007
- Chetty, R., Stepner, M., Abraham, S., Lin, S., Scuderi, B., Turner, N., Bergeron, A., & Cutler, D. (2016). The association between income and life expectancy in the United States, 2001–2014. The Journal of the American Medical Association, 315(14), 1750–1766. https://doi.org/10.1001/jama.2016.4226
- Chilès, J.-P., & Delfiner, P. (2012). Geostatistics: Modeling spatial uncertainty. John Wiley & Sons.
- Clark, W. A. V., Anderson, E., Östh, J., & Malmberg, B. (2015). A multiscalar analysis of neighborhood composition in Los Angeles, 2000–2010: A location-based approach to segregation and diversity. Annals of the Association of American Geographers, 105(6), 1260–1284. https://doi.org/10.1080/00045608.2015.1072790
- Conley, T. G., & Topa, G. (2002). Socio-economic distance and spatial patterns in unemployment. Journal of Applied Econometrics, 17(4), 303–327. https://doi.org/10.1002/jae.670
- Cressie, N. (1985). Fitting variogram models by weighted least squares. Journal of the International Association for Mathematical Geology, 17(5), 563–586. https://doi.org/10.1007/BF01032109
- Cressie, N., & Hawkins, D. M. (1980). Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12(2), 115–125. https://doi.org/10.1007/BF01035243
- Cressie, N. A. C. (1991). Statistics for spatial data. John Wiley & Sons.
- Dardanoni, V., & Forcina, A. (1999). Inference for Lorenz curve orderings. The Econometrics Journal, 2(1), 49–75. https://doi.org/10.1111/1368-423X.00020
- Davidson, R. (2009). Reliable inference for the Gini index. Journal of Econometrics, 150(1), 30–40. http://www.sciencedirect.com/science/article/pii/S0304407609000323 https://doi.org/10.1016/j.jeconom.2008.11.004
- Dawkins, C. J. (2007). Space and the measurement of income segregation. Journal of Regional Science, 47(2), 255–272. https://doi.org/10.1111/j.1467-9787.2007.00508.x
- Diggle, P. (1985). A kernel method for smoothing point process data. Journal of the Royal Statistical Society. Series C (Applied Statistics), 34(2), 138–147. https://doi.org/10.2307/2347366.
- Doran, J., Jordan, D., & Elhorst, P. (2018). Virtual special issue on regional inequality. Spatial Economic Analysis, 13(4), 383–386. https://doi.org/10.1080/17421772.2018.1514095
- Echenique, F., & Fryer, R. G. (2007). A measure of segregation based on social interactions. The Quarterly Journal of Economics, 122(2), 441–485. https://doi.org/10.1162/qjec.122.2.441
- Galster, G. (2001). On the nature of neighbourhood. Urban Studies, 38(12), 2111–2124. http://usj.sagepub.com/content/38/12/2111.abstract https://doi.org/10.1080/00420980120087072
- Goodman, L. A., & Hartley, H. O. (1958). The precision of unbiased ratio-type estimators. Journal of the American Statistical Association, 53(282), 491–508. http://www.jstor.org/stable/2281870 https://doi.org/10.1080/01621459.1958.10501454
- Griffith, D. A. (1983). The boundary value problem in spatial statistical analysis. Journal of Regional Science, 23(3), 377–387. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-9787.1983.tb00996.x https://doi.org/10.1111/j.1467-9787.1983.tb00996.x
- Hardman, A., & Ioannides, Y. (2004). Neighbors’ income distribution: Economic segregation and mixing in US urban neighborhoods. Journal of Housing Economics, 13(4), 368–382. https://doi.org/10.1016/j.jhe.2004.09.003
- Hoeffding, W. (1948). A class of statistics with asymptotically normal distribution. The Annals of Mathematical Statistics, 19(3), 293–325. http://www.jstor.org/stable/2235637 https://doi.org/10.1214/aoms/1177730196
- Iceland, J., & Hernandez, E. (2017). Understanding trends in concentrated poverty: 1980–2014. Social Science Research, 62, 75–95. http://www.sciencedirect.com/science/article/pii/S0049089X1630059X https://doi.org/10.1016/j.ssresearch.2016.09.001
- Jargowsky, P. A. (1997). Poverty and place: Ghettos, barrios, and the American city. Russell Sage Foundation.
- Journel, A. G., & Huijbregts, C. J. (1989). Mining geostatistics. Academic Press.
- Kelejian, H. H., & Prucha, I. R. (2010). Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances. Journal of Econometrics, 157(1), 53–67. Nonlinear and Nonparametric Methods in Econometrics. http://www.sciencedirect.com/science/article/pii/S0304407609002784 https://doi.org/10.1016/j.jeconom.2009.10.025
- Kim, J., & Jargowsky, P. A. (2009). The Gini-coefficient and segregation on a continuous variable, Vol. Occupational and Residential Segregation of Research on Economic Inequality. Emerald Group Publishing Limited, pp. 57–70.
- Koop, J. C. (1964). On an identity for the variance of a ratio of two random variables. Journal of the Royal Statistical Society. Series B (Methodological), 26(3), 484–486. http://www.jstor.org/stable/2984501 https://doi.org/10.1111/j.2517-6161.1964.tb00578.x
- Leone, F. C., Nelson, L. S. & Nottingham, R. B. (1961). The folded normal distribution. Technometrics, 3(4), 543–550. http://www.jstor.org/stable/1266560 https://doi.org/10.1080/00401706.1961.10489974
- LeSage, J. P., & Pace, R. K. (2014). The biggest myth in spatial econometrics. Econometrics, 2(4), 217–249. https://doi.org/10.3390/econometrics2040217
- Li, H., Calder, C. A., & Cressie, N. (2007). Beyond Moran’s i: Testing for spatial dependence based on the spatial autoregressive model. Geographical Analysis, 39(4), 357–375. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1538-4632.2007.00708.x https://doi.org/10.1111/j.1538-4632.2007.00708.x
- Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2012). Neighborhood effects on the long-term well-being of low-income adults. Science, 337(6101), 1505–1510. http://science.sciencemag.org/content/337/6101/1505 https://doi.org/10.1126/science.1224648
- Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2013). Long-term neighborhood effects on low-income families: Evidence from Moving to Opportunity. American Economic Review, 103(3), 226–231. http://www.aeaweb.org/articles.php?doi=10.1257/aer.103.3.226 https://doi.org/10.1257/aer.103.3.226
- Ludwig, J., Sanbonmatsu, L., Gennetian, L., Adam, E., Duncan, G. J., Katz, L. F., Kessler, R. C., Kling, J. R., Lindau, S. T., Whitaker, R. C., & McDade, T. W. (2011). Neighborhoods, obesity, and diabetes – A randomized social experiment. New England Journal of Medicine, 365(16), 1509–1519. PMID: 22010917. https://doi.org/10.1056/NEJMsa1103216
- Massey, D. S., & Eggers, M. L. (1990). The ecology of inequality: Minorities and the concentration of poverty, 1970–1980. American Journal of Sociology, 95(5), 1153–1188. https://doi.org/10.1086/229425
- Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. https://doi.org/10.2113/gsecongeo.58.8.1246
- Moretti, E. (2013). Real wage inequality. American Economic Journal: Applied Economics, 5(1), 65–103. http://www.aeaweb.org/articles?id=10.1257/app.5.1.65 https://doi.org/10.1257/app.5.1.65
- Muliere, P., & Scarsini, M. (1989). A note on stochastic dominance and inequality measures. Journal of Economic Theory, 49(2), 314–323. http://www.sciencedirect.com/science/article/pii/0022053189900847 https://doi.org/10.1016/0022-0531(89)90084-7
- Openshaw, S. (1983). The modifiable areal unit problem. Geo Books.
- Pyatt, G. (1976). On the interpretation and disaggregation of Gini coefficients. The Economic Journal, 86(342), 243–255. https://doi.org/10.2307/2230745
- Reardon, S. F., & Bischoff, K. (2011). Income inequality and income segregation. American Journal of Sociology, 116(4), 1092–1153. http://www.jstor.org/stable/10.1086/657114 https://doi.org/10.1086/657114
- Shorrocks, A., & Wan, G. (2005). Spatial decomposition of inequality. Journal of Economic Geography, 5(1), 59–81. https://doi.org/10.1093/jnlecg/lbh054
- Tin, M. (1965). Comparison of some ratio estimators. Journal of the American Statistical Association, 60(309), 294–307. http://www.jstor.org/stable/2283154 https://doi.org/10.1080/01621459.1965.10480792
- Watson, T. (2009). Inequality and the measurement of residential segregation by income in American neighborhoods. Review of Income and Wealth, 55(3), 820–844. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1475-4991.2009.00346.x https://doi.org/10.1111/j.1475-4991.2009.00346.x
- Wheeler, C. H., & La Jeunesse, E. A. (2008). Trends in neighborhood income inequality in the U.S.: 1980–2000. Journal of Regional Science, 48(5), 879–891. https://doi.org/10.1111/j.1467-9787.2008.00590.x
- Wong, D. (2009). The modifiable areal unit problem (MAUP). In A. S. Fotheringham & P. Rogerson (eds.). The SAGE handbook of spatial analysis (pp. 105-124). Los Angeles: Sage.
- Xu, C., & Dowd, P. A. (2012). The edge effect in Geostatistical simulations. Springer Netherlands. 115–127. https://doi.org/10.1007/978-94-007-4153-9˙10
- Xu, K. (2007). U-statistics and their asymptotic results for some inequality and poverty measures. Econometric Reviews, 26(5), 567–577. https://doi.org/10.1080/07474930701512170
- Zimmerman, D. L. (2008). Estimating the intensity of a spatial point process from locations coarsened by incomplete geocoding. Biometrics, 64(1), 262–270. http://www.jstor.org/stable/25502044 https://doi.org/10.1111/j.1541-0420.2007.00870.x