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According to Engel's law, the share of income spent on food decreases, even as total food expenditure rises. Engel's law is an economic relationship proposed by the statistician Ernst Engel in 1857. It suggests that as family income increases, the percentage spent on food decreases, even though the total amount of food expenditure increases.
The shapes of Engel curves depend on many demographic variables and other consumer characteristics. A good's Engel curve reflects its income elasticity and indicates whether the good is an inferior, normal, or luxury good. Empirical Engel curves are close to linear for some goods, and highly nonlinear for others.
This is a list of countries and territories by income inequality metrics, as calculated by the World Bank, UNU-WIDER, OCDE, and World Inequality Database, based on different indicators, like Gini coefficient and specific income ratios. Income from black market economic activity is not included.
Pages for logged out editors learn more. Contributions; Talk; Engel's coefficient
The Engel's coefficient of Beijing's urban residents reached 31.8% in 2005, while that of the rural residents was 32.8%, declining 4.5 and 3.9 percentage points respectively compared to 2000.
Engle was born in Syracuse, New York into a Quaker family [2] and went on to graduate from Williams College with a BS in physics. He earned an MS in physics and a PhD in economics, both from Cornell University, in 1966 and 1969 respectively. [3]
Cointegration is a statistical property of a collection (X 1, X 2, ..., X k) of time series variables. First, all of the series must be integrated of order d.Next, if a linear combination of this collection is integrated of order less than d, then the collection is said to be co-integrated.
The above expression makes clear that the uncertainty coefficient is a normalised mutual information I(X;Y). In particular, the uncertainty coefficient ranges in [0, 1] as I(X;Y) < H(X) and both I(X,Y) and H(X) are positive or null. Note that the value of U (but not H!) is independent of the base of the log since all logarithms are proportional.