Estimating income variances by probability sampling : a case study

Akbar Ali Shah and M. Aleem

The main focus of the study is to estimate variability in income distribution of households by conducting a survey. The variances in income distribution have been calculated by probability sampling techniques. The variances are compared and relative gains are also obtained. It is concluded that the income distribution has been better as compared to first Household Income and Expenditure Survey (HIES) conducted in Pakistan 1993-94.

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Year of publication:	2010
Authors:	Shah, Muhammad Akbar Ali ; Aleem, M.
Subject:	Variability \| Income distribution \| Probability Sampling \| Relative gain \| Gini Coefficient \| Einkommensverteilung \| Schätztheorie \| Estimation theory \| Stichprobenerhebung \| Sampling \| Wahrscheinlichkeitsrechnung \| Probability theory \| Gini-Koeffizient \| Gini coefficient \| Schätzung \| Estimation \| Einkommen \| Income

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Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	hdl:10419/188011 [Handle]
Source:	ECONIS - Online Catalogue of the ZBW

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