Journal articles on the topic 'Income support'

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1

Cullen, Deborah. "Income Support." Adoption & Fostering 17, no. 4 (December 1993): 62–63. http://dx.doi.org/10.1177/030857599301700417.

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2

Proctor, Tim. "Reassessing income support." Nursing Standard 3, no. 34 (May 20, 1989): 46. http://dx.doi.org/10.7748/ns.3.34.46.s60.

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3

De Wachter, Stefan, and Sebastian Galiani. "Optimal income support targeting." International Tax and Public Finance 13, no. 6 (November 2006): 661–84. http://dx.doi.org/10.1007/s10797-006-6552-z.

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4

BINGLEY, PAUL, ELIZABETH SYMONS, and IAN WALKER. "Child Support, Income Support and Lone Mothers." Fiscal Studies 15, no. 1 (February 1994): 81–98. http://dx.doi.org/10.1111/j.1475-5890.1994.tb00191.x.

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5

Rowell, Michael. "Social Security Commissioners' decisions: Income support: Capital and income." Journal of Social Welfare and Family Law 13, no. 6 (November 1991): 501–9. http://dx.doi.org/10.1080/09649069108413578.

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6

Nichols-Casebolt, Ann. "The Psychological Effects of Income Testing Income-Support Benefits." Social Service Review 60, no. 2 (June 1986): 287–302. http://dx.doi.org/10.1086/644366.

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7

Higgins, Tim. "Income Support for Higher Education Through Income Contingent Loans*." Economic Papers: A journal of applied economics and policy 30, no. 4 (November 10, 2011): 466–80. http://dx.doi.org/10.1111/j.1759-3441.2011.00137.x.

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8

KLAWITTER, MARIEKA M., and IRWIN GARFINKEL. "CHILD SUPPORT, ROUTINE INCOME WITHHOLDING, AND POST-DIVORCE INCOME." Contemporary Economic Policy 10, no. 1 (January 1992): 52–64. http://dx.doi.org/10.1111/j.1465-7287.1992.tb00211.x.

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9

SCOTT, MARCIA, and DANIEL BORENSTEIN. "Psychiatric Illness and Income Support." American Journal of Psychiatry 166, no. 9 (September 2009): 1065. http://dx.doi.org/10.1176/appi.ajp.2009.09050648.

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10

Snarr, Hal W., and Jeffrey A. Edwards. "Does income support increase abortions?" Social Choice and Welfare 33, no. 4 (March 6, 2009): 575–99. http://dx.doi.org/10.1007/s00355-009-0380-x.

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11

Ha, Yoonsook, Maria Cancian, and Daniel R. Meyer. "Child Support and Income Inequality." Poverty & Public Policy 10, no. 2 (June 2018): 147–58. http://dx.doi.org/10.1002/pop4.215.

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12

Campbell, Colin, and Jessica Pearlman. "Access to Social Network Support and Material Hardship." Social Currents 6, no. 3 (December 26, 2018): 284–304. http://dx.doi.org/10.1177/2329496518820630.

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Does access to social network support help protect households from material hardship? In this study, we analyze data from the Survey of Income and Program Participation ( N = 28,805) and find that access to assistance from family and friends is associated with a decrease in the likelihood that a household experiences bill-paying hardship, food hardship, or health care hardship. In addition, we examine the interaction between household income and level of available assistance from family and friends. Respondents with higher incomes are able to self-insure against material hardship, and consequently, the protection against material hardship offered by access to assistance is greatest for those respondents with the lowest incomes. Overall, these findings contribute to sociological understandings of how social networks and social isolation shape the well-being of households and suggest an important mechanism for how low-income households are able to avoid material hardship despite inadequate financial resources.
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13

Cancian, Maria, and Molly A. Costanzo. "Comparing income-shares and percentage-of-income child support guidelines." Children and Youth Services Review 96 (January 2019): 451–62. http://dx.doi.org/10.1016/j.childyouth.2018.12.011.

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14

Skinner, Christine, and Daniel R. Meyer. "After all the policy reform, is child support actually helping low-income mothers?" Benefits: A Journal of Poverty and Social Justice 14, no. 3 (October 2006): 209–22. http://dx.doi.org/10.51952/bdcx8345.

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The economic vulnerability of children in lone-parent families has drawn attention to child support policy. After 13 years of constant policy changes the child support system remains highly problematic and is currently undergoing an independent review. Given this, it is timely to question whether child support payments (from all types of agreements, not just Child Support Agency assessments) are actually helping lone-mother families. Or are most low-income mothers connected to men who have little capacity to pay, so that child support actually helps only moderate-income families? This article uses data from the UK Families and Children Study to examine the receipt of child support by lone mothers across the income distribution. It examines the amounts of child support received and the contribution it makes to total income packages across two major groupings: lone-mother quintile groups and poverty groups. We find that lone mothers who are already relatively better off (compared with other lone mothers in the survey) are more likely to receive child support. However, lone mothers who receive child support tend to receive similar median amounts, regardless of their income levels. Moreover, child support is a more important part of the income package for lone mothers with low incomes than for those with higher incomes.
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15

Zapryanova, Elena, and Ivan Penov. "Family farm and income support policies." Scientific Works LXII, no. 2 (October 27, 2021): 114–22. http://dx.doi.org/10.22620/sciworks.2020.02.012.

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Family farms are the main form of organization in agriculture and play an essential role in the development of rural areas. One of the main characteristics of the family farms is that the members of the households work in them. The purpose of the study is, based on an analysis of a real farm and the impact of direct support on family income, to draw recommendations for policy development in this direction. In order to achieve this goal, an economic-mathematical model was developed, and eight scenarios with different levels of support were examined. The main conclusion is that the farm could operate without receiving support because the income generated by this scenario is sufficient to provide an average standard of living for the family. However, CAP support helps its faster development.
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16

Hill, Heather D., and Ali Rowhani-Rahbar. "Income Support as a Health Intervention." JAMA Network Open 5, no. 1 (January 13, 2022): e2143363. http://dx.doi.org/10.1001/jamanetworkopen.2021.43363.

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17

Whelan, Stephen. "The Interaction between Income Support Programs." LABOUR 24, no. 4 (November 23, 2010): 407–40. http://dx.doi.org/10.1111/j.1467-9914.2010.00488.x.

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18

Whanshick Yoo. "A Study on Income Support Schemes of the Low Income WorkingDisabled." Disability & Employment 17, no. 2 (October 2007): 107–36. http://dx.doi.org/10.15707/disem.2007.17.2.005.

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19

Sherman, Arloc, Brandon DeBot, and Chye-Ching Huang. "Boosting Low-Income Children's Opportunities to Succeed Through Direct Income Support." Academic Pediatrics 16, no. 3 (April 2016): S90—S97. http://dx.doi.org/10.1016/j.acap.2016.01.008.

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20

SHAVER, SHEILA. "Universality or Selectivity in Income Support to Older People? A comparative assessment of the issues." Journal of Social Policy 27, no. 2 (April 1998): 231–54. http://dx.doi.org/10.1017/s004727949800525x.

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This article reviews the issues involved in policy choices with respect to universality and selectivity in income support to older people. It considers four questions: the practical meaning of universality and selectivity in the income support systems of various countries, the effectiveness of universal and selective arrangements in the alleviation of poverty among this group, the role of universal and selective arrangements in redistributing income among elderly people and the relative generosity of universal and selective arrangements. The article draws on data from the ‘second wave’ of the Luxembourg Income Study for six countries: Australia, (West) Germany, Norway, Sweden, the United Kingdom and the United States, concerning the incomes of elderly couples and single (non-married) women. It concludes that while selective income support arrangements achieve greater redistribution in favour of low income elderly people for the same expenditure than do universal ones, selective arrangements do not necessarily perform better in other respects, and, in particular, are associated with low levels of benefit income.
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21

Naidenko, Oleksii. "Justification of tax regulation tools to support the poor." Economics of Development 18, no. 3 (January 15, 2020): 45–57. http://dx.doi.org/10.21511/ed.18(3).2019.05.

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The system of taxation of personal income in Ukraine does not allow fully implementing the principle of social justice, which is regulated by the Tax Code of Ukraine. This is because in many cases, the taxpayers’ solvency is not taken into account when setting tax rates. The Ukrainian legislation does not regulate the list of poor people, and there is no clear compensatory mechanism of assistance to these social groups. As a result, the number of poor people is growing and, therefore, the social tension is increasing in Ukraine. The article focuses on the poor performance of Ukraine in various indices of socio-economic development, which results in the growth of poor people. There was no clear legislation to classify the poor in Ukraine. A list of poor people is offered. The main directions of poverty reduction in European countries are analyzed. Attention is drawn to the poor status of poverty reduction in Ukraine through tax policies, due to the poor implementation of the Poverty Reduction Strategy by the executive authorities. The instruments of tax regulation of low-income population in EU countries are considered, the main ones being tax rebate (tax credit), tax exemption, non-taxable minimum, and reduced tax rate. The list of instruments for tax regulation of low-income population in EU countries and Ukraine is summarized. The progressive scale of taxation of personal income is substantiated. The list of poor people is generalized. A non-taxable minimum income indicator is proposed based on the indicator used to determine the limit for applying the tax social benefit. Given the experience of EU countries, the introduction of separate instruments for tax regulation of low-income groups in Ukraine is justified.
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22

Smith, Natalie. "How Tax Credits Can Support Formerly Incarcerated Individuals and Their Families." ANNALS of the American Academy of Political and Social Science 701, no. 1 (May 2022): 134–50. http://dx.doi.org/10.1177/00027162221114232.

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Tax credits like the Earned Income Tax Credit (EITC) can provide vital income support to people returning to their communities following incarceration. But the current design of the EITC prevents many from accessing the income support that it provides. In this article, I propose expanding the EITC so that it better serves communities that have been harmed by punitive criminal legal policy. An expanded EITC could raise the incomes of community members returning from incarceration by 8 to 40 percent and raise the incomes of some caregiving families by 20 to 35 percent. I also consider the potential of the Work Opportunity Tax Credit (WOTC) to encourage employers to hire justice-involved workers. Finally, I argue that policy-makers should develop a bolder, refundable tax credit targeted at individuals who return to their communities from a variety of institutions, including carceral facilities. With more inclusive tax credits, social policy can begin to redress the harms of mass incarceration and support a vision of public safety that is centered on flourishing communities.
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23

Richards, Donald R., and Thomas L. Steiger. "Value orientations and support for guaranteed income." Social Science Quarterly 102, no. 6 (November 2021): 2733–51. http://dx.doi.org/10.1111/ssqu.13086.

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24

Kapitonov, Anatoly Alekseevich. "STATE INCOME SUPPORT IN DAIRY CATTLE BREEDING." Economy, labor, management in agriculture, no. 7 (2018): 81–87. http://dx.doi.org/10.33938/187-81.

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25

Smith, Ian T. "Income support and part-time training courses." Journal of Social Welfare Law 12, no. 2 (March 1990): 116–19. http://dx.doi.org/10.1080/09649069008413914.

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26

Danziger, Sheldon, Richard G. Frank, and Ellen Meara. "Mental Illness, Work, and Income Support Programs." American Journal of Psychiatry 166, no. 4 (April 2009): 398–404. http://dx.doi.org/10.1176/appi.ajp.2008.08020297.

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27

Huang, Chien-Chung, Ronald B. Mincy, and Irwin Garfinkel. "Child Support Obligations and Low-Income Fathers." Journal of Marriage and Family 67, no. 5 (December 2005): 1213–25. http://dx.doi.org/10.1111/j.1741-3737.2005.00211.x.

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28

Doron, Abraham, and Uri Yanay. "Changes in the israeli income support system." Journal of International and Comparative Social Welfare 5, no. 1 (January 1989): 10–22. http://dx.doi.org/10.1080/17486838908415625.

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29

McAllister, Ashley. "Gatekeeping disability income support: A conceptual model." Social Policy & Administration 54, no. 3 (August 25, 2019): 327–44. http://dx.doi.org/10.1111/spol.12527.

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30

Hetschko, Clemens, Ronnie Schöb, and Tobias Wolf. "Income support, employment transitions and well-being." Labour Economics 66 (October 2020): 101887. http://dx.doi.org/10.1016/j.labeco.2020.101887.

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31

Blandford, David, Harry de Gorter, and David Harvey. "Farm income support with minimal trade distortions." Food Policy 14, no. 3 (August 1989): 268–73. http://dx.doi.org/10.1016/0306-9192(89)90045-6.

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32

Sayed, Shahin, Robert Lukande, and Kenneth A. Fleming. "Providing Pathology Support in Low-Income Countries." Journal of Global Oncology 1, no. 1 (October 2015): 3–6. http://dx.doi.org/10.1200/jgo.2015.000943.

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33

Anderberg, Dan. "Tax credits, income support, and partnership decisions." International Tax and Public Finance 15, no. 4 (May 16, 2008): 499–526. http://dx.doi.org/10.1007/s10797-008-9078-8.

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34

ISRAEL, DEBRA K. "International support for environmental protection." Environment and Development Economics 9, no. 6 (November 19, 2004): 757–80. http://dx.doi.org/10.1017/s1355770x0400169x.

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This paper uses household-level survey data from a 1989 Harris poll conducted in 12 developing and three developed countries to examine the empirical relationship between the support for paying higher taxes for environmental protection and per capita national income. Results from ordered probit estimation suggest that as per capita real gross domestic product rises, controlling for other household characteristics, the strength of the support for somewhat higher taxes for environmental protection is falling for low-income countries and rising for high-income countries. The evidence also suggests that environmental protection may be important to people in developing countries during the process of economic growth. The high level of support for environmental protection found among the lower-income African countries included in this study is one result that warrants additional research. Higher economic growth rates are also found to be associated with greater support for environmental protection.
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35

Campolieti, Michele, Rafael Gomez, and Morley Gunderson. "Volunteering, Income Support Programs and Persons with Disabilities." Articles 64, no. 2 (September 9, 2009): 189–208. http://dx.doi.org/10.7202/037917ar.

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We study the propensity of persons with disabilities to engage in volunteer activity using the Participation and Activity Limitation Survey (PALS). Our principal focus is on the effects of various income support programs on persons with disabilities participation in volunteer activities because income support programs can differ with respect to their treatment of unpaid work. For example, workers’ compensation programs embody strong disincentives to volunteering while public disability insurance programs explicitly encourage unpaid work. We find that workers’ compensation is associated with decreases in the probability of volunteering while public disability insurance is associated with increases in the propensity to volunteer. The relevance of these results to both theories of volunteerism and public policy is discussed.
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36

Bumagin, Susan, and Janna M. Smith. "Beyond Support: Group Psychotherapy with Low-Income Mothers." International Journal of Group Psychotherapy 35, no. 2 (April 1985): 279–94. http://dx.doi.org/10.1080/00207284.1985.11491417.

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37

Offer, Shira. "Barriers to social support among low‐income mothers." International Journal of Sociology and Social Policy 32, no. 3/4 (April 20, 2012): 120–33. http://dx.doi.org/10.1108/01443331211214712.

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38

Wilson, George, and David J. Maume. "Job Authority and Support for Income Redistributive Policy." American Behavioral Scientist 60, no. 2 (September 25, 2015): 189–202. http://dx.doi.org/10.1177/0002764215607593.

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39

Miller, Scott, Mary M. McKay, and Donna Baptiste. "Social Support for African American Low-Income Parents." Social Work in Mental Health 5, no. 1-2 (May 22, 2007): 121–45. http://dx.doi.org/10.1300/j200v05n01_06.

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40

COX, J. P. "Economic Growth and Income Support Policy in Australia." Economic Record 62, no. 3 (September 1986): 268–85. http://dx.doi.org/10.1111/j.1475-4932.1986.tb02687.x.

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41

Bothell, William Lee, Joel Fischer, and Cullen Hayashida. "Social Support and Depression Among Low Income Elderly." Journal of Housing For the Elderly 13, no. 1-2 (July 21, 1999): 51–63. http://dx.doi.org/10.1300/j081v13n01_05.

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42

Sriraj, P. S., Mark Minor, and Piyushimita (Vonu) Thakuriah. "Spatial Decision Support System for Low-Income Families." Transportation Research Record: Journal of the Transportation Research Board 1956, no. 1 (January 2006): 119–26. http://dx.doi.org/10.1177/0361198106195600115.

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43

Lambert, S. F. "The Relationship between Sole Parents and Income Support." Australian Economic Review 27, no. 2 (April 1994): 15–30. http://dx.doi.org/10.1111/j.1467-8462.1994.tb00831.x.

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44

Lee, Wang-Sheng, and Umut Oguzoglu. "Income Support and Stigma Effects for Young Australians." Australian Economic Review 40, no. 4 (December 7, 2007): 369–84. http://dx.doi.org/10.1111/j.1467-8462.2007.00477.x.

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45

Tseng, Yi-Ping, Ha Vu, and Roger Wilkins. "Dynamic Properties of Income Support Receipt in Australia." Australian Economic Review 41, no. 1 (March 2008): 32–55. http://dx.doi.org/10.1111/j.1467-8462.2008.00474.x.

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46

Whelan, Stephen. "The take-up of means-tested income support." Empirical Economics 39, no. 3 (December 13, 2009): 847–75. http://dx.doi.org/10.1007/s00181-009-0329-z.

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47

Kus, Basak, and Wen Fan. "Income Inequality, Credit and Public Support for Redistribution." Intereconomics 50, no. 4 (July 2015): 198–205. http://dx.doi.org/10.1007/s10272-015-0542-2.

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48

Leininger, Lindsey Jeanne, Rebecca M. Ryan, and Ariel Kalil. "Low-income mothers' social support and children's injuries." Social Science & Medicine 68, no. 12 (June 2009): 2113–21. http://dx.doi.org/10.1016/j.socscimed.2009.03.013.

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49

Bullock, L. F. C., C. Browning, and E. Geden. "Telephone Social Support for Low-Income Pregnant Women." Jognn 31, no. 6 (December 1, 2002): 658–64. http://dx.doi.org/10.1177/088421702129005290.

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50

Bullock, Linda F. C., Catherine Browning, and Elizabeth Geden. "Telephone Social Support for Low-Income Pregnant Women." Journal of Obstetric, Gynecologic & Neonatal Nursing 31, no. 6 (November 2002): 658–64. http://dx.doi.org/10.1177/0884217502239217.

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