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Journal articles on the topic 'Intra-household allocation'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Gobbi, Paula E., Juliane Parys, and Gregor Schwerhoff. "Intra‐household allocation of parental leave." Canadian Journal of Economics/Revue canadienne d'économique 51, no. 1 (February 2018): 236–74. http://dx.doi.org/10.1111/caje.12322.

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2

Wheeler, Erica F. "Intra-Household Food and Nutrient Allocation." Nutrition Research Reviews 4, no. 1 (January 1991): 69–81. http://dx.doi.org/10.1079/nrr19910008.

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3

Beck, Ulrik, Saurabh Singhal, and Finn Tarp. "Commodity Prices and Intra‐Household Labor Allocation." American Journal of Agricultural Economics 101, no. 2 (December 6, 2018): 436–54. http://dx.doi.org/10.1093/ajae/aay082.

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4

Thomas, Duncan. "Intra-Household Resource Allocation: An Inferential Approach." Journal of Human Resources 25, no. 4 (1990): 635. http://dx.doi.org/10.2307/145670.

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5

Arthi, Vellore, and James Fenske. "Intra-household labor allocation in colonial Nigeria." Explorations in Economic History 60 (April 2016): 69–92. http://dx.doi.org/10.1016/j.eeh.2015.11.003.

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6

Kazianga, Harounan, and Zaki Wahhaj. "Intra-household resource allocation and familial ties." Journal of Development Economics 127 (July 2017): 109–32. http://dx.doi.org/10.1016/j.jdeveco.2017.03.002.

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7

Pan, Yao, and Saurabh Singhal. "Agricultural extension, intra-household allocation and malaria." Journal of Development Economics 139 (June 2019): 157–70. http://dx.doi.org/10.1016/j.jdeveco.2019.03.006.

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8

Basu, Bharati, and Pushkar Maitra. "Intra‐household bargaining power and household expenditure allocation: Evidence from Iran." Review of Development Economics 24, no. 2 (December 4, 2019): 606–27. http://dx.doi.org/10.1111/rode.12636.

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9

Lacroix, Guy, and Natalia Radtchenko. "The changing intra-household resource allocation in Russia." Journal of Population Economics 24, no. 1 (September 22, 2009): 85–106. http://dx.doi.org/10.1007/s00148-009-0275-2.

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10

Metzger, Christoph. "Intra-household allocation of non-mandatory retirement savings." Journal of the Economics of Ageing 12 (November 2018): 77–87. http://dx.doi.org/10.1016/j.jeoa.2018.02.001.

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11

Behrman, Jere R. "Intra-family Distribution in Developing Countries." Pakistan Development Review 33, no. 3 (September 1, 1994): 253–96. http://dx.doi.org/10.30541/v33i3pp.253-296.

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Intra-household allocations appear to be quite important in the determination of time use, human resource investments, and intra- and inter-generational transfers in developing countries. The nature of such allocations has important implications for the efficiency, equity, and efficacy of the micro and macro-economic policies. In the past decade and a half, there has been substantial progress in modelling intrahousehold allocations in ways that lead to testable propositions despite enormous data limitations regarding the nature of the allocation of unobserved variables and the impact of unobserved heterogeneous endowments. The parent -child exchange literature is a subset of these studies that advances in two dimensions by allowing children to have different preferences from their parents' and by incorporating a broader notion of interactions, including the attention provided by the children to their parents. Yet this literature has most of the problems that are indicated with regard to the unified household preference models. The exchange literature to date has assumed away het" erogeneity in endowments which plays such a critical role in the studies that assume the unified household preferences. It is also silent on how human resource investments enter into the relations between parents and children. The collective models of household behaviour emphasise that different household members. usually husband and wife. may have different preferences and a different command over resources. Interesting theoretical results have been derived concerning the conditions under which the income-sharing rules and the allocation of non-assignable goods can be derived. But there are many limitations in this literature. The literature on the collective models of household behaviours is static and gives little consideration to the dynamic processes and learning.

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12

Daunfeldt, Sven-Olov, and Jörgen Hellström. "Intra-household Allocation of Time to Household Production Activities: Evidence from Swedish Household Data." Labour 21, no. 2 (June 2007): 189–207. http://dx.doi.org/10.1111/j.1467-9914.2007.00376.x.

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13

Zhou, Li, Xiaohong Chen, and Lei Lei. "Intra-Household Allocation of Nutrients in an Opening China." International Journal of Environmental Research and Public Health 15, no. 4 (April 9, 2018): 700. http://dx.doi.org/10.3390/ijerph15040700.

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14

Pant, Mandakini. "Intra-household Allocation Patterns: A Study in Female Autonomy." Indian Journal of Gender Studies 7, no. 1 (March 2000): 93–100. http://dx.doi.org/10.1177/097152150000700107.

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15

Chen, Joyce J. "Migration and Imperfect Monitoring: Implications for Intra-Household Allocation." American Economic Review 96, no. 2 (April 1, 2006): 227–31. http://dx.doi.org/10.1257/000282806777212468.

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16

Purkayastha, Dipankar. "Economic Growth, Intra-Household Resource Allocation and Gender Inequality." Atlantic Economic Journal 38, no. 4 (March 14, 2010): 465–66. http://dx.doi.org/10.1007/s11293-010-9216-4.

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17

Kirchberger, Martina. "Intra-household allocation of time and money across siblings." Journal of Economic Behavior & Organization 179 (November 2020): 361–77. http://dx.doi.org/10.1016/j.jebo.2020.08.006.

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18

Yi, Junjian, James J. Heckman, Junsen Zhang, and Gabriella Conti. "Early Health Shocks, Intra-Household Resource Allocation and Child Outcomes." Economic Journal 125, no. 588 (November 1, 2015): F347—F371. http://dx.doi.org/10.1111/ecoj.12291.

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19

Suen, Wing, William Chan, and Junsen Zhang. "Marital transfer and intra-household allocation: a Nash-bargaining analysis." Journal of Economic Behavior & Organization 52, no. 1 (September 2003): 133–46. http://dx.doi.org/10.1016/s0167-2681(02)00165-8.

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20

Van Droogenbroeck, Ellen, and Leo Van Hove. "Intra-household task allocation in online grocery shopping: Together alone." Journal of Retailing and Consumer Services 56 (September 2020): 102153. http://dx.doi.org/10.1016/j.jretconser.2020.102153.

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21

Ndlovu, Patrick, Sandeep Mohapatra, and Marty Luckert. "Income Effects on Intra-Household Time Allocation: Regression Discontinuity Evidence." Journal of International Development 30, no. 4 (November 7, 2017): 713–19. http://dx.doi.org/10.1002/jid.3333.

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22

Flinn, Christopher J., Petra E. Todd, and Weilong Zhang. "Personality traits, intra-household allocation and the gender wage gap." European Economic Review 109 (October 2018): 191–220. http://dx.doi.org/10.1016/j.euroecorev.2017.11.003.

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23

Salifu, Gamel Abdul-Nasser. "Spousal Secret Affairs with Money: Intra-household Allocative Efficiency in Spaces of Gender Politics in Development." International Journal of Business Administration 12, no. 3 (May 7, 2021): 108. http://dx.doi.org/10.5430/ijba.v12n3p108.

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Persisting gender inequities across political, economic and social life have spurred the global agenda to re-examine the triggers and consequences of gender disaggregation in household resource allocations. Defining and measuring intrahousehold allocations has been at the centre of the current debates among international development scholars and practitioners. The lack of clear consensus on intrahousehold public good allocation has consistently limited widespread efforts to design and evaluate programmes and policies aimed at improving women’s welfare. Based on intrahousehold allocation models, this paper proposes a conceptual framework which can accommodate the welfare of the household as an economic entreprise. Building on Sen (1989) and Kabeer (1999), this paper selectively reviews the abundant literature that offers insights into intra-household decision- making process and gender relations. The review illustrates the importance of intrahousehold allocations and describes a set of individual strategies that household agents use to by-pass intrahousehold negotiations and to secure private consumption. In many of the instances where inefficiencies have been identified in the data, a possible immediate cause is individual behaviour aimed at securing personal resources and consumption. Even, if they come, at the expense of total resources available to the household. Although, it need not be the case that such strategic behaviour are necessarily the source of inefficiencies, they may well be feeding the flames of suboptimality in household production entreprises.. That said, the paper clearly iterates circumstances under which non-cooperative behaviour of spousal income hiding could be vital to circumventing social norms which undermine Pareto productive efficiency. The paper further highlights the role played by collective resistance of social forces to economic changes that threaten social norms and gender roles. The study pinpoints evidence of collaborative efforts to stop women from embracing new economic opportunities that overturn traditional roles. Investigating the role played by household structure in reaching Pareto optimality for inefficient rural households, the paper concludes that neither monogamous nor polygynous conjugal units attain higher margins of efficiency. Instead, household agents played dictator games in public good allocation and responded opportunistically to private choices and strategies which optimized secret consumption.

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24

Fujii, Tomoki, and Ryuichiro Ishikawa. "A note on separability and intra-household resource allocation in a collective household model." Review of Economics of the Household 11, no. 1 (July 29, 2012): 143–49. http://dx.doi.org/10.1007/s11150-012-9155-8.

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25

Mangyo, Eiji. "Who benefits more from higher household consumption? The intra-household allocation of nutrients in China." Journal of Development Economics 86, no. 2 (June 2008): 296–312. http://dx.doi.org/10.1016/j.jdeveco.2007.03.002.

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26

Mottaleb, Khondoker A., Samarendu Mohanty, and Ashok K. Mishra. "Intra-Household Resource Allocation under Negative Income Shock: A Natural Experiment." World Development 66 (February 2015): 557–71. http://dx.doi.org/10.1016/j.worlddev.2014.09.012.

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27

Harris-Fry, Helen A., Puskar Paudel, Niva Shrestha, Tom Harrisson, B. James Beard, Sonali Jha, Bhim P. Shrestha, et al. "Status and determinants of intra-household food allocation in rural Nepal." European Journal of Clinical Nutrition 72, no. 11 (January 22, 2018): 1524–36. http://dx.doi.org/10.1038/s41430-017-0063-0.

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28

Lenjiso, Birhanu Megersa, Jeroen Smits, and Ruerd Ruben. "Smallholder Milk Market Participation and Intra-household Time Allocation in Ethiopia." European Journal of Development Research 28, no. 5 (November 2016): 808–25. http://dx.doi.org/10.1057/ejdr.2015.54.

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29

Hori, Masahiro, Nahoko Mitsuyama, and Satoshi Shimizutani. "New Evidence on Intra-Household Allocation of Resources in Japanese Households." Japanese Economic Review 67, no. 1 (July 19, 2015): 77–95. http://dx.doi.org/10.1111/jere.12076.

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30

Acosta, Pablo. "Intra-Household Labour Allocation, Migration, and Remittances in Rural El Salvador." Journal of Development Studies 56, no. 5 (June 30, 2019): 1030–47. http://dx.doi.org/10.1080/00220388.2019.1626832.

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31

Wittenberg, Martin. "The Intra-Household Allocation of Work and Leisure in South Africa." Social Indicators Research 93, no. 1 (December 12, 2008): 159–64. http://dx.doi.org/10.1007/s11205-008-9386-5.

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32

Haddad, Lawrence, and Ravi Kanbur. "Toward Understanding the Value of Intrahousehold Survey Data for Age-Based Food Targeting." Food and Nutrition Bulletin 16, no. 3 (September 1995): 1–7. http://dx.doi.org/10.1177/156482659501600302.

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Through the use of a stylized, age-based eligibility feeding programme, we attempt to quantify the benefit of having individual- (as opposed to household-) level food intake data when it comes to targeting food transfers on the basis of age. In this context we show how optimum age eligibility cut-offs depend on the availability of intra-household data on food intake. Second, we provide quantitative estimates of the valeue of intra-household information and of knowledge of the process of intra-household allocation of calvies. Age proved to be a good indicator of individual calorie deficit. However, this was not the case with household-level calorie adequacy, which rendered age apparently less useful as a targeting instrument, often at considerable calorie cost. Food sharing within the household, on the other hand, rendered age impotent as a targeting instrument because of within-household leakage. If age is to be used as an effective eligibility criterion for a food transfer, the implementation of that transfer has to ensure minimum leakage to other household members. This type of exploratory analysis is one step toward quantifying the usefulness of intra-household data in the design of nutrition interventions. The costs of collecting intra-household data may outweigh the benefits, but the experiments presensed begin to answer questions about the costs of not collecting them.

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33

Kang, Hejun, and Darren M. Scott. "Impact of different criteria for identifying intra-household interactions: a case study of household time allocation." Transportation 38, no. 1 (July 9, 2010): 81–99. http://dx.doi.org/10.1007/s11116-010-9292-y.

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34

Blacklow, Paul, and Ranjan Ray. "Intra-Household Resource Allocation, Consumer Preferences and Commodity Tax Reforms: Australian Evidence." Economic Record 79, no. 247 (December 2003): 425–33. http://dx.doi.org/10.1111/j.1475-4932.2003.00142.x.

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35

Davis, Morris A., and E. Michael Foster. "Intra-Household Allocation and the Mental Health of Children : Structural Estimation Analysis." Finance and Economics Discussion Series 1999, no. 30 (1999): 1–54. http://dx.doi.org/10.17016/feds.1999.30.

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36

Mangiavacchi, Lucia, and Chiara Rapallini. "SELF-REPORTED ECONOMIC CONDITION AND HOME PRODUCTION: INTRA-HOUSEHOLD ALLOCATION IN ITALY." Bulletin of Economic Research 66, no. 3 (May 28, 2012): 279–304. http://dx.doi.org/10.1111/j.1467-8586.2012.00446.x.

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37

Bourguignon, Browning, Chiappori, and Lechene. "Intra Household Allocation of Consumption: A Model and Some Evidence from French Data." Annales d'Économie et de Statistique, no. 29 (1993): 137. http://dx.doi.org/10.2307/20075899.

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38

Kaul, Tara. "Intra-household allocation of educational expenses: Gender discrimination and investing in the future." World Development 104 (April 2018): 336–43. http://dx.doi.org/10.1016/j.worlddev.2017.12.017.

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39

Messer, Ellen. "Intra-household allocation of food and health care: Current findings and understandings—Introduction." Social Science & Medicine 44, no. 11 (June 1997): 1675–84. http://dx.doi.org/10.1016/s0277-9536(96)00370-x.

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40

Majid, Hadia. "Child endowments and parental investments: Intra-household allocation in oportunidades families in Mexico." Review of Development Economics 22, no. 1 (July 5, 2017): 91–114. http://dx.doi.org/10.1111/rode.12331.

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41

Ermisch, John, and Chiara Pronzato. "Intra‐Household Allocation of Resources: Inferences from Non‐resident Fathers’ Child Support Payments." Economic Journal 118, no. 527 (February 20, 2008): 347–62. http://dx.doi.org/10.1111/j.1468-0297.2007.02124.x.

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42

Gomes, Francisco, Michael Haliassos, and Tarun Ramadorai. "Household Finance." Journal of Economic Literature 59, no. 3 (September 1, 2021): 919–1000. http://dx.doi.org/10.1257/jel.20201461.

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Household financial decisions are complex, interdependent, and heterogeneous, and central to the functioning of the financial system. We present an overview of the rapidly expanding literature on household finance (with some important exceptions) and suggest directions for future research. We begin with the theory and empirics of asset market participation and asset allocation over the life cycle. We then discuss household choices in insurance markets, trading behavior, decisions on retirement saving, and financial choices by retirees. We survey research on liabilities, including mortgage choice, refinancing, and default, and household behavior in unsecured credit markets, including credit cards and payday lending. We then connect the household to its social environment, including peer effects, cultural and hereditary factors, intra-household financial decision-making, financial literacy, cognition, and educational interventions. We also discuss literature on the provision and consumption of financial advice. (JEL D15, G41, G50, J26, Z13)

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43

Lise, Jeremy, and Ken Yamada. "Household Sharing and Commitment: Evidence from Panel Data on Individual Expenditures and Time Use." Review of Economic Studies 86, no. 5 (October 31, 2018): 2184–219. http://dx.doi.org/10.1093/restud/rdy066.

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Abstract In this article, we analyse the dynamics of intra-household allocations using unique panel data on individual-specific consumption expenditures and time used for leisure, market production, and home production. Cross-sectional differences at the time of marriage in expected wage profiles between a husband and wife strongly affect the allocation of private consumption expenditures and time use by households in the cross section. There are substantial gender asymmetries in these allocations. Even for households where the husband and wife have identical wages, the private consumption expenditures for the wife are about half those for the husband. Within a given household over time, shocks to wages lead households to shift the relative weights in favour of the spouse receiving the favourable shock. Additionally, we find that households adjust the weights in response to large but not to small shocks; the adjustment to the weights is twice as large in the year leading up to a divorce; and adjustments are more frequent in dual- than in single-earner households. We interpret the data using a dynamic collective model of the household with potentially limited commitment.

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44

Azam, Mehtabul, and Geeta Gandhi Kingdon. "Are Girls the Fairer Sex in India? Revisiting Intra-Household Allocation of Education Expenditure." World Development 42 (February 2013): 143–64. http://dx.doi.org/10.1016/j.worlddev.2012.09.003.

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45

Fadare, Olusegun, George Mavrotas, Dare Akerele, and Motunrayo Oyeyemi. "Micronutrient-rich food consumption, intra-household food allocation and child stunting in rural Nigeria." Public Health Nutrition 22, no. 3 (December 3, 2018): 444–54. http://dx.doi.org/10.1017/s1368980018003075.

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AbstractObjectiveChildren from rural households are often deprived of adequate micronutrient intakes either from food or supplementation. The present study examines: (i) the determinants of households’ micronutrient-rich food consumption; and (ii) the combined effect of vitamin A supplementation and micronutrient-rich food consumption on child stunting in households with different food allocation patterns.DesignCross-sectional study. Households’ micronutrient-rich food consumption frequency and vitamin A supplementation were used as a proxy measure for child micronutrient intakes. Intra-household food allocation patterns were assessed from caregivers’ perception of the disparity in food distribution within the household. Descriptive statistics and logistic regression were employed in analysing the study’s objectives.SettingRural communities in Kwara State, Nigeria.ParticipantsIncluded 419 children aged 6–59 months and 413 households.ResultsOwning small livestock and a refrigerator, knowledge of micronutrient-rich foods and higher parental education had strong associations with households’ micronutrient-rich food consumption. Children from households that consumed micronutrient-rich foods and received more diverse diets were less likely to experience stunting. The combined effect of micronutrient-rich food consumption and vitamin A supplementation was stronger on the likelihood of stunting reduction than the separate effect of each.ConclusionsAssets ownership, human capital and knowledge of micronutrient-rich foods improve consumption of micronutrient-rich foods among the study population. Micronutrient supplementation to children with poor access to micronutrient-rich foods may not substantially enhance child growth unless reinforced through consumption of micronutrient-rich foods. Fruit and vegetable gardening, livestock holdings and nutrition education to parents should be integral parts of community nutrition programming.

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46

Edlund, Lena, and Nils-Petter Lagerlöf. "Individual versus Parental Consent in Marriage: Implications for Intra-Household Resource Allocation and Growth." American Economic Review 96, no. 2 (April 1, 2006): 304–7. http://dx.doi.org/10.1257/000282806777212477.

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47

Porter, Maria. "How do sex ratios in China influence marriage decisions and intra-household resource allocation?" Review of Economics of the Household 14, no. 2 (August 27, 2014): 337–71. http://dx.doi.org/10.1007/s11150-014-9262-9.

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48

Kalanzi, Fred, Prossy Isubikalu, Florence B. Kyazze, Lawrence J. B. Orikiriza, Isaac Kiyingi, and Habtemariam Assefa. "Intra-household decision-making among smallholder agroforestry farmers in the eastern highlands of Uganda." International Journal of Agricultural Extension 8, no. 2 (November 18, 2020): 97–111. http://dx.doi.org/10.33687/ijae.008.02.3251.

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This paper examines the intra-household decision-making patterns among spouses regarding agroforestry decisions in the eastern highlands of Uganda. The study uses both quantitative and qualitative data to examine spousal differences in the allocation of decision-making power over eight agroforestry decisions in dual-headed households. Quantitative data were collected through a cross-sectional survey in which both husbands and wives were interviewed separately and used to determine the decision-making power of spouses as well as the influence of individual and household characteristics on decision-making. Qualitative data from focus group discussions were collected to validate the quantitative findings. The study found that there were agreements and disagreements among spouses on how decision-making power is exercised over a range of agroforestry decisions. Wives allocated themselves more decision-making power than was assigned to them by their husbands. The higher allocation of decision-making power for wives tended to be in decisions linked to their roles and responsibilities in the household. The most critical factor influencing accord in decision-making was the number of years spent together by the couple while the number of children shared between the couple and farm-labour difference between husband and wife was the most significant for discord. Findings imply that most agroforestry interventions where wives participate without their spouses are bound to fail in dual-headed households because they wives limited decision-making power. It's desirable for programmes promoting agroforestry to integrate both husbands and wives in their interventions, for agroforestry to be more meaningful in meeting their divergent interests. This paper examines the intra-household decision-making patterns among spouses regarding agroforestry decisions in the eastern highlands of Uganda. The study uses both quantitative and qualitative data to examine spousal differences in the allocation of decision-making power over eight agroforestry decisions in dual-headed households. Quantitative data were collected through a cross-sectional survey in which both husbands and wives were interviewed separately and used to determine the decision-making power of spouses as well as the influence of individual and household characteristics on decision-making. Qualitative data from focus group discussions were collected to validate the quantitative findings. The study found that there were agreements and disagreements among spouses on how decision-making power is exercised over a range of agroforestry decisions. Wives allocated themselves more decision-making power than was assigned to them by their husbands. The higher allocation of decision-making power for wives tended to be in decisions linked to their roles and responsibilities in the household. The most critical factor influencing accord in decision-making was the number of years spent together by the couple while the number of children shared between the couple and farm-labour difference between husband and wife was the most significant for discord. Findings imply that most agroforestry interventions where wives participate without their spouses are bound to fail in dual-headed households because they wives limited decision-making power. It's desirable for programmes promoting agroforestry to integrate both husbands and wives in their interventions, for agroforestry to be more meaningful in meeting their divergent interests.

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49

ZHANG, Junyi, Akimasa FUJIWARA, Yoriyasu SUGIE, and Toshihisa YAMADA. "APPLICABILITY OF HOUSEHOLD TIME ALLOCATION MODEL WITH HETEROGENEOUS INTRA-HOUSEHOLD INTERACTION TO THE ANALYSIS OF TRANSPORTATION POLICIES FOR THE ELDERLY." Doboku Gakkai Ronbunshu, no. 786 (2005): 53–65. http://dx.doi.org/10.2208/jscej.2005.786_53.

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50

Ruiz, Isabel, and Carlos Vargas-Silva. "The impact of hosting refugees on the intra-household allocation of tasks: A gender perspective." Review of Development Economics 22, no. 4 (August 28, 2018): 1461–88. http://dx.doi.org/10.1111/rode.12383.

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