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The Informal Economy in Sub-Saharan Africa
			: Size and Determinants

The Informal Economy in Sub-Saharan Africa : Size and Determinants »

Volume/Issue: 2017/156

Series: IMF Working Papers

Author(s): Leandro Medina , Andrew Jonelis , and Mehmet Cangul

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 10 July 2017

DOI: http://dx.doi.org/10.5089/9781484305942.001

ISBN: 9781484305942

Keywords: Uganda, South Africa, Rwanda, Senegal, Seychelles, Sierra Leone, Sudan, Swaziland, Tanzania, Togo

The multiple indicator-multiple cause (MIMIC) method is a well-established tool for measuring informal economic activity. However, it has been criticized because GDP is used both as a cause and indicator variable....

The Informal Economy in Sub-Saharan Africa

The Informal Economy in Sub-Saharan Africa »

Source: The Informal Economy in Sub-Saharan Africa : Size and Determinants

Volume/Issue: 2017/156

Series: IMF Working Papers

Author(s): Leandro Medina , Andrew Jonelis , and Mehmet Cangul

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 10 July 2017

ISBN: 9781484305942

Keywords: Uganda, South Africa, Rwanda, Senegal, Seychelles, Sierra Leone, Sudan, Swaziland, Tanzania, Togo

The multiple indicator-multiple cause (MIMIC) method is a well-established tool for measuring informal economic activity. However, it has been criticized because GDP is used both as a cause and indicator variable....

Kernel Density Estimation Based on Grouped Data

Kernel Density Estimation Based on Grouped Data »

Source: Kernel Density Estimation Based on Grouped Data : The Case of Poverty Assessment

Volume/Issue: 2008/183

Series: IMF Working Papers

Author(s): Camelia Minoiu , and Sanjay Reddy

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 01 July 2008

ISBN: 9781451870411

Keywords: kernel density estimation, grouped data, statistics, poverty line, survey, surveys, household surveys,

We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the techn...