Measuring Pro-Poor Growth in Non-Income Dimensions

Grosse, Melanie; Harttgen, Kenneth; Klasen, Stephan

doi:10.1016/j.worlddev.2007.10.009

Cited by 86 publications

(104 citation statements)

References 20 publications

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“…For the calculation of the non-income growth incidence curves (NIGIC) we follow the general approach outlined in Grosse, Harttgen, and Klasen (2005) which we describe briefly now. An often used measure of pro-poor growth is the growth incidence curve (GIC) by Ravallion and Chen (2003) which plots the mean growth rate in income at each per centile of the distribution between two points in time.…”

Section: Methodsmentioning

confidence: 99%

“…These issues are taken up in detail in Grosse, Harttgen, and Klasen (2005) and who show that the approach can well be extended but that special care is needed when interpreting the results of the NIGICs. One last important point to note is that the data used here is not a panel data set and thus the percentiles of the income distribution in the initial and final period contain different households and we thus do not consider mobility of households, but the development of income groups.…”

Section: Methodsmentioning

confidence: 99%

“…As discussed in Grosse, Harttgen, and Klasen (2005), this could be done by assessing the distribution of progress along the distribution of the non-income MDG in question (e.g., relate progress in schooling to the initial distribution of schooling) which we refer to as an unconditional assessment. It can also be done by relating progress in non-income dimensions to the initial distribution of incomes (e.g., relate progress in schooling to the initial distribution of income) which we call a conditional assessment as it is conditional on the position of households in the income distribution.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measuring Pro-Poor Progress Towards the Non-Income Millennium Development Goals

Grosse¹,

Harttgen²,

Klasen³

2008

Achieving the Millennium Development Goals

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In order to track progress in MDG1 and explicitly link growth, inequality, and poverty reduction, several measures of 'pro-poor growth' have been proposed in the literature and used in applied academic and policy work. These measures, particularly the ones derived from the growth incidence curve, allow a much more detailed assessment of the distributional impact of growth and its link to poverty reduction. However, there are no corresponding measures for tracking the distribution of progress in non-income dimensions of poverty, and thus the distribution of progress towards MDGs 2-7. In this paper, we propose to extend the pro-poor growth measurement to non-income dimensions of poverty (particularly health and education). We empirically illustrate the approach for Bolivia and show that it allows a much more detailed assessment of progress towards MDGs 2-7 by focusing on the distribution of progress. Furthermore, this extension also allows an explicit assessment of the linkage between progress in MDG1 and MDGs 2-7 as well as extends traditional incidence analysis by quantifying outcomes in non-income dimensions of poverty along the income distribution.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measuring Pro-Poor Progress Towards the Non-Income Millennium Development Goals

Grosse¹,

Harttgen²,

Klasen³

2008

Achieving the Millennium Development Goals

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“…Grosse et al 2008;Ravallion / Chen 2003;Kakwani / Pernia 2000). The same applies to sustainability, which adds an environmental perspective.…”

Section: Barriers To Energy Efficiency In Developing Countriesmentioning

confidence: 99%

Making Energy Efficiency Pro-Poor: Insights from Behavioural Economics for Policy Design

Never

2014

SSRN Journal

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This paper reviews the current state of behavioural economics and its applications to energy efficiency in developing countries. Taking energy efficient lighting in Ghana, Uganda and Rwanda as empirical examples, this paper develops hypotheses on how behavioural factors can improve energy efficiency policies directed towards poor populations. The key argument is that different types of affordability exist that are influenced by behavioural factors to varying degrees. Using a qualitative approach, this paper finds that social preferences, framing and innovative financing solutions that acknowledge people's mental accounts can provide useful starting points. Behavioural levers are only likely to work in a policy package that addresses wider technical, market and institutional barriers to energy efficiency. More research, carefully designed pre-tests and stakeholder debates are required before introducing policies based on behavioural insights. This is imperative to avoid the dangers of nudging.

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“…Contrary to the history-dependent perspective, incomes of different individuals are used to compute the growth in mean incomes, as those that are at a particular percentile in the initial income distribution are not necessarily at that same percentile in the second-period income distribution. A variety of indices for the measurement of pro-poor growth is available (see Kakwani and Pernia, 2000;Essama-Nssah, 2005;Kraay, 2006;Grosse et al, 2008;Kakwani and Son, 2008;Essama-Nssah and Lambert, 2009). However, as already pointed out in a seminal paper by Jenkins and Van Kerm (2006), this kind of analysis of income distribution trends that is based on cross-sectional data sets, ignores the reshuffling of individuals in the income distribution over time.…”

Section: Introductionmentioning

confidence: 99%

History-dependent growth incidence: a characterization and an application to the economic crisis in Italy

Palmisano

gaer

2016

Oxf. Econ. Pap.

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We propose a characterization of an aggregate measure of growth that takes into account the initial economic conditions of individuals. Our measure is a weighted average of individuals' income growth with weights that are decreasing with the rank of the individual in the initial income distribution. We apply our theoretical framework to evaluate the growth processes experienced by the Italian population. Even when we correct for the differences in mean income growth, and focus on the distribution of growth only, the 2008-2010 growth process was the worst of the last decade.

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Measuring Pro-Poor Growth in Non-Income Dimensions

Cited by 86 publications

References 20 publications

Measuring Pro-Poor Progress Towards the Non-Income Millennium Development Goals

Measuring Pro-Poor Progress Towards the Non-Income Millennium Development Goals

Making Energy Efficiency Pro-Poor: Insights from Behavioural Economics for Policy Design

History-dependent growth incidence: a characterization and an application to the economic crisis in Italy

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