Housing Affordability and Child Well-Being

References

• Abt Associates Inc., Mills, G., Gubits, D., Orr, L., Long, D., Feins, J., …, QED Group. (2006). Effects of housing vouchers on welfare families. Washington, DC: U.S. Department of Housing and Urban Development.
   Google Scholar
• Altonji, J., Elder, T., & Taber, C. (2005). Selection on observed and unobserved variables: Assessing the effectiveness of Catholic schools. Journal of Political Economy, 113, 151–184.
   Web of Science ®Google Scholar
• Angrist, J., & Pischke, J. (2009). Mostly harmless econometrics: An empiricists' companion. Princeton, NJ: Princeton University Press.
   Google Scholar
• Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58, 277–297.
   Web of Science ®Google Scholar
• Astone, N., & McLanahan, S. (1994). Family structure, residential mobility, and school dropout: A research note. Demography, 31, 575–584.
   PubMed Web of Science ®Google Scholar
• Bartfeld, J., & Dunifon, R. (2006). State-level predictors of food insecurity among households with children. Journal of Policy Analysis and Management, 25, 921–942.
   Web of Science ®Google Scholar
• Belsky, E., Goodman, J., & Drew, R. (2005). Measuring the nation's rental housing affordability problems. Cambridge, MA: Joint Center for Housing Research, Harvard University.
   Google Scholar
• Blau, D., & Haurin, D. (2013, January). The effect of the price of housing on child and young adult outcomes. Paper presented at the annual meeting of the Allied Social Science Associations, San Diego, CA.
   Google Scholar
• Blomquist, G., Berger, M., & Hoehn, J. (1988). New estimates of quality of life in urban areas. The American Economic Review, 78, 89–107.
   Web of Science ®Google Scholar
• Bogdon, A., & Can, A. (1997). Indicators of local housing affordability: Comparative and spatial approaches. Real Estate Economics, 25, 43–80.
   Web of Science ®Google Scholar
• Borland, M., Howsen, R., & Trawick, M. (2005). An investigation of the effect of class size on student academic achievement. Education Economics, 13, 73–83.
   Google Scholar
• Case, A., Lubotsky, D., & Paxson, C. (2002). Economic status and health in childhood: The origins of the gradient. The American Economic Review, 92, 1308–1334.
   PubMed Web of Science ®Google Scholar
• Chase-Lansdale, L., Moffitt, R., Lohman, B., Cherlin, A., Coley, R., Pittman, L., …, Vortruba-Drzal, E. (2003). Mothers' transitions from welfare to work and the well-being of preschoolers and adolescents. Science, 299, 1548–1552.
   PubMed Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Condliffe, S., & Link, C. (2008). The relationship between economic status and child health: Evidence from the United States. The American Economic Review, 98, 1605–1618.
   PubMed Web of Science ®Google Scholar
• Conger, R., Patterson, G., & Ge, X. (1995). It takes two to replicate: A mediational model for the impact of parents' stress on adolescent adjustment. Child Development, 66, 80–97.
   PubMed Web of Science ®Google Scholar
• Cook, T., Shadish, W., & Wong, V. (2008). Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within-study comparisons. Journal of Policy Analysis and Management, 27, 724–750.
   Web of Science ®Google Scholar
• Cook, T., Steiner, P., & Pohl, S. (2009). How bias reduction is affected by covariate choice, unreliability, and mode of data analysis: Results from two types of within-study comparisons. Multivariate Behavioral Research, 44, 828–847.
   PubMed Web of Science ®Google Scholar
• Costello, E., Compton, S., Keeler, G., & Angold, A. (2003). Relationships between poverty and psychopathology: A natural experiment. Journal of the American Medical Association, 290, 2023–2029.
   PubMed Web of Science ®Google Scholar
• Currie, J., & Stabile, M. (2003). Socioeconomic status and child health: Why is the relationship stronger for older children?The American Economic Review, 93, 1813–1823.
   PubMed Web of Science ®Google Scholar
• Currie, J., & Yelowitz, A. (2000). Are public housing projects good for kids?Journal of Public Economics, 75, 99–124.
   Web of Science ®Google Scholar
• Duncan, G., Yeung, W., Brooks-Gunn, J., & Smith, J. (1998). How much does childhood poverty affect the life chances of children?American Sociological Review, 63, 406–423.
   Web of Science ®Google Scholar
• Duncan, O., Featherman, D., & Duncan, B. (1972). Socioeconomic background and achievement. New York, NY: Seminar Press.
   Google Scholar
• Elder, G. (1974). Children of the Great Depression: Social change in life experience. Chicago, IL: University of Chicago Press.
   Google Scholar
• Elder, G., & Caspi, A. (1988). Economic stress in lives: Developmental perspectives. Journal of Social Issues, 44, 25–45.
   Web of Science ®Google Scholar
• Emrath, P., & Taylor, H. (2012). Housing value, costs, and measures of physical adequacy. Cityscape: A Journal of Policy Development and Research, 14, 99–126.
   Google Scholar
• Fertig, A., & Reingold, D. (2007). Public housing, health, and health behaviors: Is there a connection?Journal of Policy Analysis and Management, 26, 831–860.
   PubMed Web of Science ®Google Scholar
• Fisher, L., Pollakowski, H., & Zabel, J. (2009). Amenity-based housing affordability indexes. Real Estate Economics, 37, 705–746.
   Web of Science ®Google Scholar
• Gershoff, E., Aber, L., Raver, C., & Lennon, M. (2007). Income is not enough: Incorporating material hardship into models of income associations with parenting and child development. Child Development, 78, 70–95.
   PubMed Web of Science ®Google Scholar
• Goodman, J. (2001). Housing affordability in the United States: Trends, interpretations, and outlook. Arlington, VA: Hartrey Advisors.
   Google Scholar
• Grigsby, W., & Bourassa, S. (2004). Section 8: The time for fundamental program change?Housing Policy Debate, 15, 805–834.
   Web of Science ®Google Scholar
• Gyourko, J., Kahn, M., & Tracy, J. (1999). Quality of life and environmental comparisons. In P.Cheshire & E. S.Mills (Eds.), Handbook of regional and urban economics: Vol. 3. Applied urban economics (pp. 1413–1454). Amsterdam, The Netherlands: North-Holland.
   Google Scholar
• Harkness, J., & Newman, S. (2005). Housing affordability and children's well-being: Evidence from the National Survey of America's Families. Housing Policy Debate, 16, 223–255.
   Web of Science ®Google Scholar
• Harkness, J., Newman, S., & Holupka, C. S. (2009). Geographic differences in housing prices and the well-being of children and parents. Journal of Urban Affairs, 31, 123–146.
   Web of Science ®Google Scholar
• Harkness, J., Newman, S., & Tiehen, L. (2005). Basic needs, tough choices: The impact of housing costs on food security. Washington, DC: U.S. Department of Agriculture.
   Google Scholar
• Hauser, R. (1973). Socioeconomic background and differential returns to education. In L.Solomon & P.Taubman (Eds.), Does college matter? Some evidence on the impacts of higher education (pp. 129–145). New York, NY: Academic Press.
   Google Scholar
• Heckman, J., Ichimura, H., & Todd, P. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme. Review of Economic Studies, 64, 605–654.
   Web of Science ®Google Scholar
• Hill, C., Bloom, H., Black, A., & Lipsey, M. (2007). Empirical benchmarks for interpreting effect sizes in research (MDRC working paper). Retrieved from http://www.mdrc.org/sites/default/files/full_84.pdf.
   Google Scholar
• Hofferth, S., Davis-Kean, P., Davis, J., & Finkelstein, J. (1997). The child development supplement to the Panel Study of Income Dynamics: 1997 user guide. Retrieved from https://psidonline.isr.umich.edu/CDS/cdsi_userGD.pdf.
   Google Scholar
• Hulchanski, J. (1995). The concept of housing affordability: Six contemporary uses of the housing expenditure-to-income ratio. Housing Studies, 10, 471–491.
   Web of Science ®Google Scholar
• Imai, K., & van Dyk, D. (2004). Causal inference with general treatment regimes. Journal of the American Statistical Association, 99, 854–866.
   Web of Science ®Google Scholar
• Jencks, C., Bartlett, S., Corcoran, M., Crouse, J., Eaglesfield, D., Jackson, G., …, Williams, J. (1979). Who gets ahead? The determinants of economic success in America. New York, NY: Basic Books.
   Google Scholar
• Jencks, C., & Mayer, S. (1990). The social consequences of growing up in a poor neighborhood. In L.Lynn & M.McGeary (Eds.), Inner-city poverty in the United States (pp. 111–186). Washington, DC: National Academy Press.
   Google Scholar
• Kang, J., & Schafer, J. (2007). Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data. Statistical Sciences, 22, 523–539.
   Web of Science ®Google Scholar
• Keels, M. (2008). Neighborhood effects examined through the lens of residential mobility programs. American Journal of Community Psychology, 42, 235–250.
   PubMed Web of Science ®Google Scholar
• Kleinbaum, D., Kupper, L., Muller, K., & Nizam, A. (1998). Applied regression analysis and multivariable methods. Pacific Grove, CA: Brooks/Cole.
   Google Scholar
• Kramer, M. (2005). Breastfeeding promotion and early child development: Comments on Woodward and Liberty, Perez-Escamilla, Lawrence, and Greiner. In Centre of Excellence for Early Childhood Development (Ed.), Encyclopedia on early childhood development. Retrieved from http://www.child-encyclopedia.com/en-ca/breastfeeding/according-to-experts.html.
   Google Scholar
• Lawrence, R. (2005). Supporting breastfeeding/early childhood social and emotion development. In Encyclopedia on early childhood development. Retrieved from http://www.child-encyclopedia.com/en-ca/breastfeeding/according-to-experts.html.
   Google Scholar
• Leamer, E. (1983). Let's take the con out of econometrics. The American Economic Review, 73, 31–43.
   Web of Science ®Google Scholar
• Leithwood, K., & Jantzi, D. (2009). A review of empirical evidence about school size effects: A policy perspective. Review of Educational Research, 79, 464–490.
   Web of Science ®Google Scholar
• Levine, T. (2010). What research tells us about the impact and challenges of smaller learning communities. Peabody Journal of Education, 85, 276–289.
   Google Scholar
• Løken, K., Mogstad, M., & Wiswall, M. (2012). What linear estimators miss: The effects of family income on child outcomes. American Economic Journal: Applied Economics, 4(2), 1–35.
   Web of Science ®Google Scholar
• Martin, M., & Shroder, M. (1996). New results from administrative data: Housing the poor, or, what they don't know might hurt somebody. Washington, DC: U.S. Department of Housing and Urban Development, Office of Policy Development and Research.
   Google Scholar
• Masten, A. (2009, June). Early childhood development in the context of mobility: Conceptual perspectives. Presentation at the National Academy of Sciences workshop “Impact of Mobility and Change on the Lives of Young Children, Schools, and Neighborhoods,” Washington, DC.
   Google Scholar
• Mayer, S. (1997). What money can't buy: Family income and children's life chances. Cambridge, MA: Harvard University Press.
   Google Scholar
• Mayer, S., & Jencks, C. (1989). Poverty and the distribution of material hardship. Journal of Human Resources, 24, 88–113.
   Web of Science ®Google Scholar
• McGranahan, D. (1999). Natural amenities drive rural population growth (USDA Agriculture Report No. 781). Washington, DC: U.S. Department of Agriculture, Economic Research Service.
   Google Scholar
• McLoyd, V., Jayaratne, T., Ceballo, R., & Borquez, J. (1994). Unemployment and work interruption among African American single mothers: Effects on parenting and adolescent socioemotional functioning. Child Development, 65, 562–589.
   PubMed Web of Science ®Google Scholar
• Moffitt, R. (2003). The Temporary Assistance to Needy Families program. In R.Moffitt (Ed.), Means-tested transfer programs in the United States (pp. 291–364). Chicago, IL: University of Chicago Press.
   Google Scholar
• Mogstad, M., & Wiswall, M. (2010). Linearity in instrumental variables estimation: Problems and solutions (IZA Discussion Paper No. 5216). Bonn, Germany: IZA.
   Google Scholar
• Morris, P., Huston, A., Duncan, G., Crosby, D., & Bos, J. (2001). How welfare and work policies affect children: A synthesis of research. New York, NY: The Next Generation, Manpower Demonstration Research Corporation.
   Google Scholar
• Murray, M. (2006). Avoiding invalid instruments and coping with weak instruments. Journal of Economic Perspectives, 20, 111–132.
   Web of Science ®Google Scholar
• Newman, S. (2008). Does housing matter for poor families? A critical summary of research and issues still to be resolved. Journal of Policy Analysis and Management, 27, 895–925.
   Web of Science ®Google Scholar
• Newman, S., & Harkness, J. (2002). The long-term effects of public housing on self-sufficiency. Journal of Public Policy Analysis and Management, 21, 21–43.
   Web of Science ®Google Scholar
• Newman, S., & Holupka, S. (2014). Housing affordability and investment in children. Journal of Housing Economics. Retrieved from http://www.joutnal.elsevier.com/journal-of-housing-economics/recent-articles/.
   PubMed Web of Science ®Google Scholar
• Newman, S., & Schnare, A. (1997). “… And a suitable living environment”: The failure of housing programs to deliver on neighborhood quality. Housing Policy Debate, 8, 703–741.
   Web of Science ®Google Scholar
• Nord, M. (2000). Does it cost less to live in rural areas? Evidence from new data on food security and hunger. Rural Sociology, 65, 104–125.
   Web of Science ®Google Scholar
• Office of the Federal Register. (2002, February 14). Annual update of the HHS poverty guidelines. Federal Register, 67, 6931–6933.
   Google Scholar
• Office of the Federal Register. (2011, September 30). Final fair market rents for housing choice voucher program and moderate rehabilitation single room occupancy program fiscal year 2012. Federal Register, 76, 60968–61031.
   Google Scholar
• Ou, S., & Reynolds, A. (2008). Predictors of educational attainment in the Chicago longitudinal study. School Psychology Quarterly, 23, 199–229.
   Web of Science ®Google Scholar
• Pallas, A. (2010). Meeting the basic educational needs of children and youth. Child and Youth Services Review, 32, 1199–1210.
   Web of Science ®Google Scholar
• Perez-Escamilla, R. (2005). Influence of breastfeeding on psychosocial development. In Encyclopedia on early childhood development. Retrieved from http://www.child-encyclopedia.com/en-ca/breastfeeding/according-to-experts.html.
   Google Scholar
• Peterson, J., & Zill, N. (1986). Marital disruption, parent–child relationships, and behavior problems in children. Journal of Marriage and the Family, 48, 295–307.
   Web of Science ®Google Scholar
• Raudenbush, S., Jean, M., & Art, E. (2011). Year-by-year and cumulative impacts of attending a high-mobility elementary school on children's mathematics achievement in Chicago, 1995 to 2005. In G.Duncan & R.Murnane (Eds.), Whither opportunity (pp. 359–376). New York, NY: Russell Sage Foundation.
   Google Scholar
• Shadish, W., Clark, M., & Steiner, P. (2008). Can nonrandomized experiments yield accurate answers? A randomized experiment comparing random and nonrandom assignments. Journal of the American Statistical Association, 103, 1334–1344.
   Web of Science ®Google Scholar
• Singer, J., & Willett, J. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York, NY: Oxford University Press.
   Google Scholar
• Smith, J., Brooks-Gunn, J., & Klebanov, P. (1997). Consequences of living in poverty for young children's cognitive and verbal ability and early school achievement. In G.Duncan & J.Brooks-Gunn (Eds.), Consequences of growing up poor (pp. 132–189). New York, NY: Russell Sage Foundation.
   Google Scholar
• Steffen, B. (with Fudge, K., Martin, M., Souza, M.T., Vandenbroucke, D. A., & Yao, Y.-G. D.) (2011). Worst case housing needs 2009: Report to Congress. Washington, DC: U.S. Department of Housing and Urban Development, Office of Policy Development and Research.
   Google Scholar
• Steiner, P., Cook, T., & Shadish, T. (2011). On the importance of reliable covariate measurement in selection bias adjustments using propensity scores. Journal of Educational and Behavioral Statistics, 36, 213–236.
   Web of Science ®Google Scholar
• Stuart, E. (2010). Matching methods for causal inference: A review and a look forward. Statistical Science, 25(1), 1–21.
   PubMed Web of Science ®Google Scholar
• Tapogna, J., Suter, A., Nord, M., & Leachman, M. (2004, October). Explaining variations in state hunger rates. Paper presented at the annual fall meeting of the Association for Public Policy and Management, Atlanta GA.
   Google Scholar
• Terza, J., Basu, A., & Rathouz, P. (2008). Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling. Journal of Health Economics, 27, 531–543.
   PubMed Web of Science ®Google Scholar
• Terza, J., Bradford, W., & Dismuke, C. (2007). The use of linear instrumental variables methods in health services research and health economics: A cautionary note. Health Services Research, 43, 1102–1120.
   Web of Science ®Google Scholar
• Todd, P., & Wolpin, K. (2003). On the specification and estimation of the production function for cognitive achievement. The Economic Journal, 113, F3–F33.
   Web of Science ®Google Scholar
• U.S. Bureau of the Census. (2010a). ACS 2009 (1-year estimates): Table B07012, geographical mobility in the past year by poverty status in the past 12 months for current residence in the United States. Retrieved from http://www.socialexplorer.com/data/ACS2009/metadata/?ds = American+Community+Survey+2009&table = B07012.
   Google Scholar
• U.S. Bureau of the Census. (2010b). ACS 2010 (1-year estimates): Table B07201, geographical mobility in the past year for current residence–metropolitan statistical area level in the United States. Retrieved from http://www.socialexplorer.com/data/ACS2010/metadata/?ds = American+Community+Survey+2010&table = B07201.
   Google Scholar
• U.S. Bureau of the Census. (2012). American Community Survey: 2010 ACS 1-Year PUMS. Retrieved from http://www.census.gov/acs/www/data_documentation/pums_data/.
   Google Scholar
• U.S. Department of Housing and Urban Development. (2007). Affordable housing needs 2005: Report to congress. Retrieved from http://www.huduser.org/Publications/pdf/AffHsgNeeds.pdf.
   Google Scholar
• VanderWeele, T., & Arah, O. (2011). Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders. Epidemiology, 22, 42–52.
   PubMed Web of Science ®Google Scholar
• Weiss, C., Carolan, B., & Baker-Smith, E. (2010). Big school, small school: (Re)testing assumptions about high school size, school engagement and mathematics achievement. Journal of Youth and Adolescence, 39, 163–176.
   PubMed Web of Science ®Google Scholar
• Wood, M., Turnham, J., & Mills, G. (2008). Housing affordability and family well-being: Results from the housing voucher evaluation. Housing Policy Debate, 19, 367–412.
   Web of Science ®Google Scholar
• Woodcock, R., & Johnson, M. (1990). Woodcock–Johnson psycho-educational battery—revised. New York, NY: Riverside.
   Google Scholar
• Woodward, K., & Liberty, K. (2005). Breastfeeding and child psychological development. In Encyclopedia on early childhood development. Retrieved from http://www.child-encyclopedia.com/en-ca/breastfeeding/according-to-experts.html.
   Google Scholar
• Yeung, W., & Conley, D. (2008). Black–White achievement gap and family wealth. Child Development, 79, 303–324.
   PubMed Web of Science ®Google Scholar
• Yeung, W., Linver, M., & Brooks-Gunn, J. (2002). How money matters for young children's development: Parental investment and family processes. Child Development, 73, 1861–1879.
   PubMed Web of Science ®Google Scholar
• Zorn, P. (2011). Personal communication, March 7.
   Google Scholar