Multivariate Analysis of Income Inequality: Data from 32 Nations.

Autor/in	Stack, Steven
Titel	Multivariate Analysis of Income Inequality: Data from 32 Nations.
Quelle	(1977), (29 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Beigaben	Tabellen
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Tagungsbericht; Academic Achievement; Analysis of Variance; Citizen Participation; Comparative Analysis; Data Analysis; Economic Development; Economic Factors; Economic Research; Income; Inflation (Economics); Literature Reviews; Longitudinal Studies; Political Influences; Population Growth; Social Science Research; Social Systems; Socialism; Socioeconomic Influences; Statistical Analysis; Tables (Data); Technology + Suchen Sie Ihr Suchwort? Schulleistung; 'Citizen participation; Citizens'' participation'; Bürgerbeteiligung; Auswertung; Wirtschaftsentwicklung; Ökonomischer Faktor; Wirtschaftsforschung; Einkommen; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Political influence; Politischer Einfluss; Population increase; Bevölkerungswachstum; Social scientific research; Sozialwissenschaftliche Forschung; Social system; Soziales System; Sozialismus; Sozioökonomischer Faktor; Statistische Analyse; Tabelle; Technologie
Abstract	To analyze income inequality in 32 nations, the research tested hypotheses based upon eight socioeconomic variables. The first seven variables, often tested in income research, were: political participation, industrial development, population growth, educational level, inflation rate, economic growth, and technological complexity. The eighth variable, degree of socialism, had not been considered by previous major models of income inequality. It was hypothesized that less income inequality would exist in countries with higher levels of political participation, education, economic growth, and technological complexity; median levels of GNP per capita; lower levels of inflation; and a socialist economy. Data were obtained from the national statistical bureaus of the 32 nations and from the "United Nations Statistical Yearbook, l973." Data were analyzed in three phases. The first phase considered the relationship of the first seven variables to income inequality. The second phase identified the effect of industrialization on income inequality. Only those nations with a level of development below the threshold where inequality increases despite high levels of industrialization were included in the analysis. The third phase entered the type of economic system (capitalist or socialist) into the regression analysis. Findings indicated that the first seven variables explained 59% of the variance in equality. The eighth variable, socialism, increased the explanatory power of the model to 71%. The conclusion is that future research on income inequality must consider degree of socialism as a major variable. (Author/DB)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2004/1/01