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Forecasting welfare caseloads: The case of the Japanese public assistance program

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  • Hayashi, Masayoshi

Abstract

Forecasting welfare caseloads has grown in importance in Japan because of their recent rapid increase. Given that the forecasting literature on welfare caseloads only focuses on US cases and utilizes limited classes of forecasting models, this study employs multiple alternative methods in order to forecast Japanese welfare caseloads and compare forecasting performances. In pseudo real-time forecasting, VAR and forecast combinations tend to outperform the other methods investigated. In real-time forecasting, however, a simple version of forecast combinations seems to perform better than the remaining models, predicting that welfare caseloads in Japan will surpass 1.7 million by the beginning of 2016, an approximately 20% increase in five years from the beginning of 2011.

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  • Hayashi, Masayoshi, 2014. "Forecasting welfare caseloads: The case of the Japanese public assistance program," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 105-114.
  • Handle: RePEc:eee:soceps:v:48:y:2014:i:2:p:105-114
    DOI: 10.1016/j.seps.2013.10.002
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    1. Brian Cadena & Sheldon Danziger & Kristin Seefeldt, 2006. "Measuring State Welfare Policy Changes: Why Don't They Explain Caseload and Employment Outcomes?," Social Science Quarterly, Southwestern Social Science Association, vol. 87(4), pages 808-817, December.
    2. repec:bny:wpaper:0002 is not listed on IDEAS
    3. Grogger, Jeffrey, 2007. "Markov forecasting methods for welfare caseloads," Children and Youth Services Review, Elsevier, vol. 29(7), pages 900-911, July.
    4. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    5. Yu Hsing, 2004. "Socioeconomic analysis of the determinants of TANF recipients in the USA and policy implications," International Journal of Social Economics, Emerald Group Publishing, vol. 31(11/12), pages 1005-1013, October.
    6. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    7. Graham Elliott & Allan Timmermann, 2016. "Economic Forecasting," Economics Books, Princeton University Press, edition 1, number 10740.
    8. Wataru Suzuki & Yanfei Zhou, 2007. "Welfare Use in Japan: Trends and Determinants," Journal of Income Distribution, Ad libros publications inc., vol. 16(3-4), pages 88-109, September.
    9. Marianne E. Page & Joanne Spetz & Jane Millar, 2005. "Does the minimum wage affect welfare caseloads?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 24(2), pages 273-295.
    10. Marianne P. Bitler & Hilary W. Hoynes, 2010. "The State of Social Safety Net in the Post-Welfare Reform Era," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(2 (Fall)), pages 71-147.
    11. Gustafsson, Bjorn, 1984. "Macroeconomic performance, old age security and the rate of social assistance recipients in Sweden," European Economic Review, Elsevier, vol. 26(3), pages 319-338, December.
    12. Luis Ayala & César Pérez, 2005. "Macroeconomic conditions, institutional factors and demographic structure: What causes welfare caseloads?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(3), pages 563-581, September.
    13. Thomas R. Klassen & Daniel Buchanan, 1997. "Getting it Backward?: Economy and Welfare in Ontario 1985-1996," Canadian Public Policy, University of Toronto Press, vol. 23(3), pages 333-338, September.
    14. Terry R. Johnson & Daniel H. Klepinger & Fred B. Dong, 1994. "Caseload Impacts Of Welfare Reform," Contemporary Economic Policy, Western Economic Association International, vol. 12(1), pages 89-101, January.
    15. Marianne Bitler & Hilary W. Hoynes, 2010. "The State of the Safety Net in the Post-Welfare Reform Era," NBER Working Papers 16504, National Bureau of Economic Research, Inc.
    16. Michael J. New, 1982. "State Sanctions and the Decline in Welfare Caseloads," Cato Journal, Cato Journal, Cato Institute, vol. 2(3), pages 515-533, Winter.
    17. Skalin, Joakim & Teräsvirta, Timo, 2002. "Modeling Asymmetries And Moving Equilibria In Unemployment Rates," Macroeconomic Dynamics, Cambridge University Press, vol. 6(2), pages 202-241, April.
    18. Clements, Michael P. & Hendry, David F. (ed.), 2011. "The Oxford Handbook of Economic Forecasting," OUP Catalogue, Oxford University Press, number 9780195398649.
    19. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    20. Shah, Parth J & Smith, Patricia K, 1995. "Do Welfare Benefits Cause the Welfare Caseload?," Public Choice, Springer, vol. 85(1-2), pages 91-105, October.
    21. William F. Stine, 1988. "The Effect of Local Administrative Stringency on the Provision of AFDC," Public Finance Review, , vol. 16(3), pages 284-300, July.
    22. David Norman & Anthony Richards, 2012. "The Forecasting Performance of Single Equation Models of Inflation," The Economic Record, The Economic Society of Australia, vol. 88(280), pages 64-78, March.
    23. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    24. Rebecca M. Blank, 2001. "What Causes Public Assistance Caseloads to Grow?," Journal of Human Resources, University of Wisconsin Press, vol. 36(1), pages 85-118.
    25. Bradley R. Schiller, 1999. "State Welfare‐Reform Impacts: Content And Enforcement Effects," Contemporary Economic Policy, Western Economic Association International, vol. 17(2), pages 210-222, April.
    26. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    27. Jarita Duasa & Nursilah Ahmad & Mansor H. Ibrahim & Mohd Pisal Zainal, 2010. "Forecasting inflation in Malaysia," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(6), pages 573-594.
    28. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012. "Does Forecast Combination Improve Norges Bank Inflation Forecasts?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
    29. Martin de Alteriis, 1990. "Local Governments As Implementors Of Public Policy," Review of Policy Research, Policy Studies Organization, vol. 9(4), pages 765-773, June.
    30. Brian C. Hill & Matthew N. Murray, 2008. "Interactions Between Welfare Caseloads And Local Labor Markets," Contemporary Economic Policy, Western Economic Association International, vol. 26(4), pages 539-554, October.
    31. BRADLEY R. Schiller & C. NIELSEN Brasher, 1993. "Effects Of Workfare Saturation On Afdc Caseloads," Contemporary Economic Policy, Western Economic Association International, vol. 11(2), pages 39-49, April.
    32. Conte, Michael & Levy, David T. & Shahrokh, Fereidoon & Staveley, Jane & Thompson, Steven, 1998. "Economic Determinants of Income Maintenance Programs: The Maryland Forecasting Model," Journal of Policy Modeling, Elsevier, vol. 20(4), pages 461-481, August.
    33. Hyun Joo Chang, 2007. "Explaining Welfare Caseload Reduction in New York State: The Effect of Policy or Economy?," International Review of Public Administration, Taylor & Francis Journals, vol. 12(1), pages 105-117, July.
    34. Victoria Lazariu & Chengxuan Yu & Craig Gundersen, 2011. "Forecasting Women, Infants, And Children Caseloads: A Comparison Of Vector Autoregression And Autoregressive Integrated Moving Average Approaches," Contemporary Economic Policy, Western Economic Association International, vol. 29(1), pages 46-55, January.
    35. Ashley, Richard, 1998. "A new technique for postsample model selection and validation," Journal of Economic Dynamics and Control, Elsevier, vol. 22(5), pages 647-665, May.
    36. Jacob Alex Klerman & Steven J. Haider, 2004. "A Stock-Flow Analysis of the Welfare Caseload," Journal of Human Resources, University of Wisconsin Press, vol. 39(4).
    37. Ronald D. Kneebone & Katherine G. White, 2009. "Fiscal Retrenchment and Social Assistance in Canada," Canadian Public Policy, University of Toronto Press, vol. 35(1), pages 21-40, March.
    38. James P. Ziliak & David N. Figlio & Elizabeth E. Davis & Laura S. Connolly, 2000. "Accounting for the Decline in AFDC Caseloads: Welfare Reform or the Economy?," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 570-586.
    39. Corrado Andini, 2006. "Unemployment and Welfare Participation in a Structural VAR: Rethinking the 1990s in the United States," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(2), pages 243-253.
    40. Max Stevenson & Maurice Peat, 2000. "Forecasting Australian Unemployment Rates," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 4(1), pages 41-55, March.
    41. Aiolfi, Marco & Timmermann, Allan, 2006. "Persistence in forecasting performance and conditional combination strategies," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 31-53.
    42. Edlund, Per-Olov & Karlsson, Sune, 1993. "Forecasting the Swedish unemployment rate VAR vs. transfer function modelling," International Journal of Forecasting, Elsevier, vol. 9(1), pages 61-76, April.
    43. Jeremy Smith & Kenneth F. Wallis, 2009. "A Simple Explanation of the Forecast Combination Puzzle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 331-355, June.
    44. Chien-Chung Huang & Irwin Garfinkel & Jane Waldfogel, 2004. "Child Support Enforcement and Welfare Caseloads," Journal of Human Resources, University of Wisconsin Press, vol. 39(1).
    45. Lawrence M. Meada, 2000. "Caseload change: An exploratory study," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 465-472.
    46. Anders Bredahl Kock & Timo Teräsvirta, 2010. "Forecasting with nonlinear time series models," CREATES Research Papers 2010-01, Department of Economics and Business Economics, Aarhus University.
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    2. Dean Fantazzini, 2014. "Nowcasting and Forecasting the Monthly Food Stamps Data in the US Using Online Search Data," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-27, November.
    3. Moazzen, Farid & Alikhani, Majid & Aghaei, Jamshid & Hossain, M.J., 2024. "Social welfare evaluation during demand response programs execution considering machine learning-based load profile clustering," Applied Energy, Elsevier, vol. 357(C).

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    More about this item

    Keywords

    Public assistance; Welfare caseload; Forecast combination; Japan;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • H68 - Public Economics - - National Budget, Deficit, and Debt - - - Forecasts of Budgets, Deficits, and Debt
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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