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Articles de revues sur le sujet « Income distribution »

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Auteur : Grafiati
Publié le 4 juin 2021
Mis à jour le 14 mars 2023

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1

Khakhulina, Liudmila A., et Milan Tuček. « Income Distribution ». Sociological Research 35, no 1 (janvier 1996) : 20–32. http://dx.doi.org/10.2753/sor1061-0154350120.

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2

Ravi Kanbur, S. M., et Jan-Olov Stromberg. « Income transitions and income distribution dominance ». Journal of Economic Theory 45, no 2 (août 1988) : 408–16. http://dx.doi.org/10.1016/0022-0531(88)90278-5.

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3

Lambert, Sue. « Income Distribution Surveys ». Australian Economic Review 29, no 3 (juillet 1996) : 320–26. http://dx.doi.org/10.1111/j.1467-8462.1996.tb00938.x.

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4

Stark, Oded, Fryderyk Falniowski et Marcin Jakubek. « Consensus Income Distribution ». Review of Income and Wealth 63, no 4 (17 février 2017) : 899–911. http://dx.doi.org/10.1111/roiw.12291.

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5

Liu, Chia-Ming. « Income distribution, quality differentiation and product line design ». Innovative Marketing 13, no 1 (18 mai 2017) : 24–32. http://dx.doi.org/10.21511/im.13(1).2017.03.

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The purpose of this paper is to characterize the relationship between quality differentiation, income distribution and product line design. According to the findings, the author can explain the trend of quality differentiation and the phenomenon of extreme product diversity in different conditions of income distribution. When the middle class of consumers reach a certain critical few number, the quality for them will descend. Only the high-end and low-end quality left for this extreme condition; that is, the product quality spectrum will shrink. The product quality for middle and low class will gradually get worse and worse, even lower than original quality. The product line design will be reconsidered to the opposite extremes.
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6

Gradín, Carlos, et Máximo Rossi. « Income Distribution and Income Sources in Uruguay ». Journal of Applied Economics 9, no 1 (mai 2006) : 49–69. http://dx.doi.org/10.1080/15140326.2006.12040637.

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7

Van Hoa, Tran. « Effects of income distribution on household income ». Economics Letters 18, no 4 (janvier 1985) : 397–99. http://dx.doi.org/10.1016/0165-1765(85)90061-8.

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8

Findeis, Jill L., et Venkateshwar K. Reddy. « Decomposition of Income Distribution Among Farm Families ». Northeastern Journal of Agricultural and Resource Economics 16, no 2 (octobre 1987) : 165–73. http://dx.doi.org/10.1017/s0899367x00001495.

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The greater reliance of U.S. farm families on off-farm income has implications for the structure of agriculture and the distribution of income within agriculture. Using annual data on farm households from the Current Population Survey, the degree of income inequality for the U.S. and by region is assessed for 1984. The distribution of income among farm families is decomposed by income source. Off-farm income is shown to contribute to higher average incomes and reduce income inequality at the margin, but only in regions where full-time farming predominates. In the Northeast and South, increases in off-farm income increase regional income inequality.
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9

Davies, Hugh, et Heather Joshi. « Sex, Sharing and the Distribution of Income ». Journal of Social Policy 23, no 3 (juillet 1994) : 301–40. http://dx.doi.org/10.1017/s0047279400021887.

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ABSTRACTIt is customary to assume that income is redistributed between the sexes within the family. This article investigates alternative assumptions about sharing within the family and their effects on the distribution of income. Using data from the UK Family Expenditure Survey for 1968 and 1986, we contrast two assumptions about sharing within the family; the conventional assumption of equal sharing or ‘pooling’, and an alternative of ‘minimum sharing’. Under each assumption, we examine the composition of extreme quintiles of the income distribution, and compute the numbers of men and women falling below an arbitrary ‘poverty line’. The contribution to inequality of the net transfers between the sexes and other sources of income is also examined. We estimate that resource transfers (other than for housing) between spouses could, if all income is pooled, account for about one third of married couples’ pooled incomes in 1986 and about 56 per cent of the inequality of married women's incomes (in 1968, 56 per cent and 50 per cent respectively). Taking the bottom quintile of pooled income as an arbitrary ‘poverty line’, we calculate that 15 per cent of married people would have been below this line in 1986 if all incomes were pooled. On the minimum sharing assumption, 52 per cent of married women, but only 11 per cent of married men would have been under the line.
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10

Waterman, A. M. C., et Athanasios Asimakopulos. « Theories of Income Distribution ». Canadian Journal of Economics 22, no 2 (mai 1989) : 454. http://dx.doi.org/10.2307/135686.

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11

Lipton, Michael, Arne Bigsten et Jacques Lecaillon. « Income Distribution and Development. » Economic Journal 95, no 379 (septembre 1985) : 831. http://dx.doi.org/10.2307/2233065.

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12

Jenkins, Stephen, et John Creedy. « Dynamics of Income Distribution. » Economica 54, no 216 (novembre 1987) : 532. http://dx.doi.org/10.2307/2554191.

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13

Slottje, Daniel J., et John Creedy. « Dynamics of Income Distribution. » Journal of the American Statistical Association 82, no 398 (juin 1987) : 683. http://dx.doi.org/10.2307/2289490.

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14

Li, Hongyi, Danyang Xie et Heng-Fu Zou. « Dynamics of income distribution ». Canadian Journal of Economics/Revue Canadienne d`Economique 33, no 4 (novembre 2000) : 937–61. http://dx.doi.org/10.1111/0008-4085.00048.

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15

Galor, Oded, et Joseph Zeira. « Income Distribution and Macroeconomics ». Review of Economic Studies 60, no 1 (janvier 1993) : 35. http://dx.doi.org/10.2307/2297811.

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16

Krugman, Paul. « The Income Distribution Disparity ». Challenge 33, no 4 (juillet 1990) : 4–6. http://dx.doi.org/10.1080/05775132.1990.11471435.

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17

Pasinetti, Luigi L. « Sraffa on income distribution ». Cambridge Journal of Economics 12, no 1 (mars 1988) : 135–38. http://dx.doi.org/10.1093/oxfordjournals.cje.a035042.

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18

MAHLER, VINCENT A. « Income Distribution within Nations ». Comparative Political Studies 22, no 1 (avril 1989) : 3–32. http://dx.doi.org/10.1177/0010414089022001001.

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In recent years a large number of cross-national studies have examined the causes and consequences of income inequality within nations. Unfortunately, few of these studies have attended very carefully to problems of measurement and definitional consistency that can seriously undermine the comparative use of currently available data on income shares. This article offers a discussion of the major theoretical and practical problems that can arise in measuring and comparing patterns of income distribution across nations, focusing on the completeness of income coverage, the unit of analysis, the time period over which income is measured, the scope of population coverage, the underreporting of income, and the effect of public sector fiscal policies. It then assesses major published sources of cross-national data on the size distribution of income in light of these problems. Finally, the article offers several suggestions for minimizing the negative consequences of measurement problems that remain in even the best available data on income shares.
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19

Seers, Dudley. « INCOME DISTRIBUTION AND EMPLOYMENT ». Institute of Development Studies Bulletin 2, no 4 (22 mai 2009) : 4–10. http://dx.doi.org/10.1111/j.1759-5436.1970.mp2004002.x.

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20

Acemoglu, D., et J. Ventura. « The World Income Distribution ». Quarterly Journal of Economics 117, no 2 (1 mai 2002) : 659–94. http://dx.doi.org/10.1162/003355302753650355.

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21

Yilmaz, Ensar, et Sinem Sefil-Tansever. « Income Distribution and Redistribution ». Journal of Economic Issues 53, no 4 (2 octobre 2019) : 1103–25. http://dx.doi.org/10.1080/00213624.2019.1675449.

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22

Sciortino, John J., John H. Huston et Roger W. Spencer. « Risk and income distribution ». Journal of Economic Psychology 9, no 3 (septembre 1988) : 399–408. http://dx.doi.org/10.1016/0167-4870(88)90043-8.

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23

Perotti, Roberto. « Income distribution and investment ». European Economic Review 38, no 3-4 (avril 1994) : 827–35. http://dx.doi.org/10.1016/0014-2921(94)90119-8.

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24

Abouelmagd, et. al., T. H. M. « Characterization of Income Distribution ». International Journal of Business and Statistical Analysis 1, no 1 (1 juillet 2014) : 45–48. http://dx.doi.org/10.12785/ijbsa/010104.

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25

Milanovic, Branko. « Remittances and Income Distribution ». Journal of Economic Studies 14, no 5 (mai 1987) : 24–37. http://dx.doi.org/10.1108/eb002657.

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26

Bourguignon, François, William H. Branson et Jaime de Melo. « Adjustment and income distribution ». Journal of Development Economics 38, no 1 (janvier 1992) : 17–39. http://dx.doi.org/10.1016/0304-3878(92)90016-3.

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27

Mizoguchi, Toshiyuki, et Tateo Yoshida. « Evaluation of Asian Income Distribution and Poverty Ratios Using Worldwide Income Distribution ». Asian Economic Journal 12, no 2 (juin 1998) : 183–93. http://dx.doi.org/10.1111/1467-8381.00059.

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28

Trzcińska, Kamila. « An Analysis of Household Income in Poland and Slovakia Based on Selected Income Models ». Folia Oeconomica Stetinensia 22, no 1 (1 juin 2022) : 287–301. http://dx.doi.org/10.2478/foli-2022-0014.

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Abstract Research background: Studies of income distributions may focus on describing empirical distributions by theoretical models. This approach can be useful for many reasons. When choosing a statistical model, it is important both to find out a theoretical distribution function that would characterize empirical frequency distribution and to choose suitable methods to calculate the parameters of the model. In the literature, there are proposals for various types of mathematical functions. Very high accuracy with empirical distribution is characteristic for Dagum and log-normal models. In 2010 Zenga proposed a new three-parameter model for economic size distribution which possesses interesting statistical properties. Purpose: The aim of this paper is to apply and compare Dagum, log-normal and Zenga models to income distributions in Poland and Slovakia. Research methodology: The studies are based on research data from the European Quality of Life Surveys (EQLS), whose purpose is to measure both objective and subjective indicators of the standard of living of citizens and their households. The estimation parameters were obtained by means of the maximum likelihood method and D’Addario’s invariants method. Results: The results of the conducted approximations, presented in the paper confirmed the good consistency of the Dagum and Zenga distributions with the empirical income distribution of households in Poland and Slovakia. Novelty: The Zenga distribution was used for the first time to describe the income distribution of the Slovak population and it allows the best fit to the empirical data of this country.
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29

Mallick, Seeme. « Sustainable Income, Employment, and Income Distribution in Indonesia ». Pakistan Development Review 46, no 4II (1 décembre 2007) : 579–96. http://dx.doi.org/10.30541/v46i4iipp.579-596.

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Production and consumption activities in any economy have a direct impact on the environment. Although increased economic activity and population growth in developing countries continue to exert enormous pressure on their natural environments, the role of the environment is neglected in the estimation of national income. Such neglect at the macroeconomic level is at least in part, an important cause of environmental degradation in developing countries. Since the United Nations Conference on Environment and Development in 1992 at Rio and even as early as middle of the 1980s, a substantial literature had developed on methods to integrate the environment into the economic development process. The main assertion in this literature is that natural resources represent a form of capital that is analogous to the stock of manufactured capital. Sustainable income can be determined by allocating a portion of income to allow for the deprecation of natural capital [Ahmed, El Serafy, and Lutz (1989) and Solow (1992)]. Indonesia had average real GDP growth rates of more than five percent per year up to the early 1990s [World Bank (1994)]. But income inequality (measured by the Gini coefficient) has been high. Although inequality continues to be quite high, especially between rural and urban populations, Indonesia has been successful in poverty alleviation up to mid 1990s. In 1976 almost 40 percent of its population was below the poverty line, which in 1993 decreased to less than 14 percent [Todaro (1994)]. Income distributional consequences of economic growth would continue to be one of the main policy issues in Indonesia. This is due to its large population size, presence of different ethnic and religious groups, large diversity between rural and urban groups, variety of natural resources scattered over the country, huge distances and the effects of a far-flung archipelago [Akita, Lukman, and Yamada (1999)].
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30

Quevedo Cubillos, Hernando, et María N. Quevedo. « Income distribution in the Colombian economy from an econophysics perspective ». Cuadernos de Economía 35, no 69 (1 septembre 2016) : 691–707. http://dx.doi.org/10.15446/cuad.econ.v35n69.44876.

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Recently, in econophysics, it has been shown that it is possible to analyze economic systems as equilibrium thermodynamic models. We apply statistical thermodynamics methods to analyze income distribution in the Colombian economic system. Using the data obtained in random polls, we show that income distribution in the Colombian economic system is characterized by two specific phases. The first includes about 90% of the interviewed individuals, and is characterized by an exponential Boltzmann-Gibbs distribution. The second phase, which contains the individuals with the highest incomes, can be described by means of one or two power-law density distributions that are known as Pareto distributions.
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31

Willis, Geoff. « Income distribution and income shares : wealth and income distributions explained using generalised Lotka-Volterra SFC ABM models ». International Review of Applied Economics 29, no 6 (25 juillet 2015) : 816–42. http://dx.doi.org/10.1080/02692171.2015.1065225.

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32

Gang, Gong, et Yang Guang. « Analysis of China's Unequal Income Distribution from the Perspective of Functional Income Distribution ». Social Sciences in China 31, no 4 (novembre 2010) : 53–72. http://dx.doi.org/10.1080/02529203.2010.524366.

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33

Esteban, J. « Income-Share Elasticity and the Size Distribution of Income ». International Economic Review 27, no 2 (juin 1986) : 439. http://dx.doi.org/10.2307/2526515.

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34

Liu, Jiancheng. « China’s Income Distribution System Reform and Income Growth Strategy ». OALib 03, no 05 (2016) : 1–11. http://dx.doi.org/10.4236/oalib.1102660.

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35

Yan, Beiling. « International Trade as Determined by Income and Income Distribution ». International Economic Journal 21, no 4 (décembre 2007) : 633–51. http://dx.doi.org/10.1080/10168730701699141.

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36

Docquier, Frederic. « Income Distribution, Non-convexities and the Fertility-Income Relationship ». Economica 71, no 282 (mai 2004) : 261–73. http://dx.doi.org/10.1111/j.0013-0427.2004.00369.x.

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37

Saarimaa, Tuukka. « Imputed Rental Income, Taxation and Income Distribution in Finland ». Urban Studies 48, no 8 (17 novembre 2010) : 1695–714. http://dx.doi.org/10.1177/0042098010377474.

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38

Richiardi, Pelin Sekerler, Marva Corley-Coulibaly et Hassan Kashef. « Income distribution and middle-income groups across the world ». World of Work Report 2013, no 1 (mai 2013) : 27–44. http://dx.doi.org/10.1002/wow3.36.

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39

Dutta, Jayasri, J. A. Sefton et M. R. WEALE. « Income distribution and income dynamics in the United Kingdom ». Journal of Applied Econometrics 16, no 5 (2001) : 599–617. http://dx.doi.org/10.1002/jae.620.

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40

Verkhovod, Irina, Olena Danilowa et Vladimir Petrenko. « SOCIALIZATION OF INCOME DISTRIBUTION : THE CONTRADICTIONS OF THE PRESENT STAGE ». Economics & ; Sociology 7, no 1 (20 mai 2014) : 94–105. http://dx.doi.org/10.14254/2071-789x.2014/7-1/9.

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41

Trzcińska, Kamila. « Analysis of Household Income in Poland Based on the Zenga Distribution and Selected Income Inequality Measure ». Folia Oeconomica Stetinensia 20, no 1 (1 juin 2020) : 421–36. http://dx.doi.org/10.2478/foli-2020-0025.

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AbstractResearch background: A lot of research has been directed at describing empirical distributions by using a theoretical model. In the literature there are proposals for various types of mathematical functions. In 2010 Zenga proposed a new three-parameter model for economic size distribution which possesses interesting statistical properties which can be used to model income, wealth and financial variables.Purpose: The aim of this paper is to apply the Zenga model to income distributions in Poland by voivodeship.Research methodology: The basis for the calculations presented in the paper has been based on the individual data coming from a random sample obtained within a Household Budget Survey conducted by the central Statistical Office in the year 2014. The parameters estimates of the Zenga distribution were obtained by means of the D’Addario’s invariants methods, mainly with the Pietra index.Results: The results of the conducted approximations, presented in the paper confirmed the good consistency of the Zenga distribution with the empirical income distribution in Poland, both in total and for households.Novelty: The study contributed to the application of a new three-parameter income distribution model to describe income distributions in Poland.
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42

Waldmann, R. J. « Income Distribution and Infant Mortality ». Quarterly Journal of Economics 107, no 4 (1 novembre 1992) : 1283–302. http://dx.doi.org/10.2307/2118389.

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43

Bronfenbrenner, Martin. « Income Distribution and "Economic Justice" ». Journal of Economic Education 17, no 1 (1986) : 35. http://dx.doi.org/10.2307/1182273.

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44

Chotikapanich, Duangkamon, William Griffiths, Gholamreza Hajargasht, Wasana Karunarathne et D. Rao. « Using the GB2 Income Distribution ». Econometrics 6, no 2 (18 avril 2018) : 21. http://dx.doi.org/10.3390/econometrics6020021.

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45

Gasteratos, Ioannis, Michael Karamalis et Andreas Koutoupis. « Shadow Economy Worsens Income distribution ». International Journal of Economics and Business Administration IV, Issue 3 (1 décembre 2016) : 80–92. http://dx.doi.org/10.35808/ijeba/106.

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46

Cowell, F. A., et John Creedy. « The Dynamics of Income Distribution. » Economic Journal 96, no 383 (septembre 1986) : 826. http://dx.doi.org/10.2307/2233002.

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47

çelebi, nurhayat, Yazar Adı Yazar Soyadı et berrak gökmen. « INCOME DISTRIBUTION AND EDUCATION EXPENDITURES ». INTERNATIONAL REFEREED JOURNAL OF HUMANITIES AND ACADEMIC SCIENCES 4, no 14 (31 décembre 2015) : 151. http://dx.doi.org/10.17368/uhbab.20151410936.

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48

KONUKMAN, Aziz, et Cemil CIFTCI. « GLOBALIZATION AND INCOME DISTRIBUTION EFFECTS ». Ekonomik Yaklasim 19, Special (2008) : 59. http://dx.doi.org/10.5455/ey.10649.

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49

MER, Erol. « Institutions and World Income Distribution ». Ekonomik Yaklasim 30, no 111 (2019) : 43. http://dx.doi.org/10.5455/ey.17008.

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50

Crafts, N. F. R., Y. S. Brenner, Hartmut Kaelble et Mark Thomas. « Income Distribution in Historical Perspective. » Economic History Review 46, no 3 (août 1993) : 633. http://dx.doi.org/10.2307/2598397.

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