1,721,004 research outputs found
All that glitters is not gold: polarization amid poverty reduction in Ghana
No full textGhana is an exceptional case in the Sub-Saharan Africa (SSA) landscape. Together with a handful of other countries, Ghana offers the opportunity to analyze the distributional changes in the past two decades, since four comparable household surveys are available. In addition, unlike many other countries in SSA, Ghana's rapid growth translated into fast poverty reduction. A closer look at the distributional changes that occurred in the same period, however, suggests less optimism. The present paper develops an innovative methodology to analyze the distributional changes that occurred and their drivers, with a high degree of accuracy and granularity. Looking at the results from 1991 to 2012, the paper documents how the distributional changes over time hollowed out the middle of the Ghanaian household consumption distribution and increased the concentration of households around the highest and lowest deciles; there was a clear surge in polarization indeed. When looking at the drivers of polarization, household characteristics, educational attainment, and access to basic infrastructure all tended to increase over time the size of the upper and lower tails of the consumption distribution and, as a consequence, the degree of polarization
Economia della Corea
No full textA partire dalla fine della Seconda guerra mondiale, molti economisti si sono interrogati su come i paesi poveri potessero raggiungere standard di vita paragonabili a quelli dei paesi più ricchi. Analizzare quanto è avvenuto in Corea del Sud a partire dagli anni sessanta rappresenta un’esperienza estremamente interessante e senz’altro anche molto incoraggiante. In Corea del Sud si è verificato un processo di sviluppo che nell’arco di pochi decenni ha radicalmente trasformato il paese da un caso di sottosviluppo senza speranze in un paese ad elevato reddito. Ma riuscirà la Corea a raggiungere il gruppo di testa dei paesi ocse? Riuscirà a non farsi raggiungere dai nuovi paesi emergenti come la Cina e l’India? Riuscirà, anche in un sistema economico complesso e globalizzato come quello attuale, a governare i processi di trasformazione interna, diventando un sistema economico basato sulla conoscenza
An attempt to correct the underestimation of inequality measures in cross-survey imputation through generalized additive models for location, scale and shape
Full text linkThis paper contributes to the debate on ways to improve the calculation of inequality measures in developing countries experiencing severe budget constraints. Linear regression-based survey-to-survey imputation techniques (SSITs) are most frequently discussed in the literature. These are effective at estimating predictions of poverty indicators but are much less accurate with inequality indicators. To demonstrate this limited accuracy, the first part of the paper review and discuss the SSITs. The paper proposes a method for overcoming these limitations based on a Generalized Additive Models for Location, Scale and Shape (GAMLSS). Before to apply this method to Moroccan data with the aim to analyze the relation between poverty and climate changes a simulation is carried out to compare classical SSIT and SSIT based on GAMLSS
Using poverty maps to improve the design of household surveys: the evidence from Tunisia
Full text linkIn this paper we aim to propose a new method for improving the design effect of household surveys based on a two-stage design in which the first stage clusters, or Primary Selection Units (PSUs), are stratified along administrative boundaries. Improvement of the design effect can result in more precise survey estimates (smaller standard errors and confidence intervals) or in the reduction of the necessary sample size, i.e. a reduction in the budget needed for a survey. The proposed method is based on the availability of a previously conducted poverty maps, i.e. spatial descriptions of the distribution of per capita consumption expenditures, that are finely disaggregated in small geographic units, such as cities, municipalities, districts or other administrative partitions of a country that are directly linked to PSUs. Such information is then used to select PSUs with systematic sampling by introducing further implicit stratification in the survey design, so as to maximise the improvement of the design effect. Since per capita consumption expenditures estimated at PSU level from the poverty mapping are affected by (small) standard errors, in the paper we also perform a simulation study in order to take into account this addition variability
Estimation of Multidimensional Poverty in Morocco: A Small Area Estimation Approach Using Meteorological and Socio-economic Covariates
No full textIn this paper we estimate the Head Count Ratio (HCR) and two fuzzy poverty measures at provincial level in Morocco using data from the Household Budget Survey (HBS). As the sample size is not always sufficient to provide reliable direct estimates, we use a Fay-Herriot model with additive logistic transformation and meteorological covariates to obtain estimates with lower mean squared errors. Among our main results, we find out that the Fuzzy Monetary measure provides more accurate estimates than the Head Count Ratio when conducting small area estimation exercises. Also, we empirically notice that the set of covariates at our disposal allows us to obtain better estimates for each supplementary poverty measure that we identify
LDL receptor gene mutations and lipid pattern in Italian children affected by familial hypercholesterolemia
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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