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Abstract
Poverty is a complex phenomenon which has been the subject of research across the social sciences. There have been varying approaches to defining and measuring poverty, especially with regard to research focus. In economic and sociological research, the concept of subjective poverty, which is particularly interesting in terms of psychological research into poverty, represents an alternative to the predominant objective measures of poverty. This article reviews the approaches to poverty used in economic and sociological research, paying special regard to representative approaches to subjective poverty, including subjective poverty lines and outlines the aspects relevant to psychological research into poverty.

Diese Dissertation enthält vier Essays über die Messung und Determinanten von Armut, Gender Gap, Ernährungsunsicherheit und Unterernährung in Pakistan. Alle Arbeiten verwenden aktuelle Methoden und Ansätze der einschlägigen Literatur und erweitern teilweise die angewandte Literatur. Eine Executive-Einführung motiviert die Papiere, Methoden, Daten und fasst die wichtigsten Ergebnisse zusammen. Das erste Papier vergleicht die objektive Einkommensarmut mit einer subjektiven Messung, bei der sich der Haushalt auf einer zehnstufigen Einkommensskala befindet. Sie stellt fest, dass einige Determin...

The distinction between "objective" and "subjective" measurement is neither meaningful nor useful in human performance studies. All measurement in science and technology is necessarily filled with subjective elements, whether in selecting measures or in collecting, analyzing, or interpreting data. Empirical examples taken from several domains related to human factors show instances in which self-report (subjective) measures may be essential. Amodel process is suggested for selecting performance measures.

Poverty measures set a poverty line or threshold and then evaluate resources against that threshold. The official poverty measure is flawed on both counts: it uses thresholds that are outdated and are not adjusted appropriately for the needs of different types of individuals and households; and it uses an incomplete measure of resources which fails to take into account the full range of income and expenses that individuals and households have. Because of these (and other) failings, statistics using the official poverty measure do not provide an accurate picture of poverty or the role of government policies in combating poverty. To address these well-known limitations, the Census Bureau recently implemented a supplemental poverty measure (SPM) which applies an improved set of thresholds and a more comprehensive measure of resources. In this report we apply an alternative poverty measure which differs from the SPM in only one respect. Instead of having a threshold that is re-calculated over time, we use today's threshold and carry it back historically by adjusting it for inflation using the CPI-U-RS. Because this alternative measure is anchored with today's SPM threshold, we refer to as an anchored supplemental poverty measure or anchored SPM for short. In addition to the reasons discussed above, another advantage of an anchored SPM (or any absolute poverty measure, for that matter) is that poverty trends resulting from such a measure can be explained by changes in income and net transfer payments (cash or in kind). Trends in poverty based on a relative measure (e.g. SPM poverty), on the other hand, could be due to over time changes in thresholds. Thus, an anchored SPM arguably provides a cleaner measure of how changes in income and net transfer payments have affected poverty historically

Examines objective measures and finds they significantly increase the match between the subjective and objective journal ratings. Far more consideration is necessary before it is possible to determine which approach to assessing journal stature has greater validity. (Abstract amended)

This paper studies the test-retest reliability of a standard self-reported life satisfaction measure and of affect measures collected from a diary method. The sample consists of 229 women who were interviewed on Thursdays, two weeks apart, in Spring 2005. The correlation of net affect (i.e., duration-weighted positive feelings less negative feelings) measured two weeks apart is 0.64, which is slightly higher than the correlation of life satisfaction (r=0.59). Correlations between income, net affect and life satisfaction are presented, and adjusted for attenuation bias due to measurement error. Life satisfaction is found to correlate much more strongly with income than does net affect. Components of affect that are more person-specific are found to have a higher test-retest reliability than components of affect that are more specific to the particular situation. While reliability figures for subjective well-being measures are lower than those typically found for education, income and many other microeconomic variables, they are probably sufficiently high to support much of the research that is currently being undertaken on subjective well-being, particularly in studies where group means are compared (e.g., across activities or demographic groups).

One of the early chapters in Poverty in Scotland 2021, the latest in a series providing an essential resource for politicians, policy makers, teachers, community activists, service providers, academics, students and all those working to end poverty. This chapter reviews how we measure format.

The rise of poverty in Indonesia since the monetary crisis of 1997 has been of major concern to the Indonesian government, international agencies and scholars. In this paper we aim to identify the various dimensions of poverty and to discuss the problem of monitoring the different levels. The paper provides information on the main data sources in Indonesia and outlines how poverty is measured on the national and local level. In conclusion different data sets and poverty measures are compared and evaluated as to their reliability and usefulness, in particular under conditions of administrative decentralisation in Indonesia.