The determinants of poverty in Mauritius

Over the past two decennaries, Mauritius has continuously experienced considerable betterments in both societal and economic degrees. Mauritius is ranked as an upper in-between income state since 2003, with a GDP per capita of $ 4000. Significant betterment in life anticipation and literacy, Mauritius has shifted from medium to a high human development state during same period. This is evidenced by the latest UN Human Development Indexs: Mauritius is ranked 81 ( 182 states ) in 2007, with an HDI value of 0.804.


Despite these considerable betterments, poorness does be in Mauritius. Rapid modernisation and industrialisation has lead to income inequality in the population, taking to an addition in figure of pockets of poorness. This is a common phenomenon experienced by most developing states. Governments or organisations have to reconsider their policies to diminish the degree of income inequality in order to eliminate the job of poorness.

Meeting the challenge

In Mauritius, authorities has implemented several societal public assistance programmes to bridge the spread between hapless and non-poor. This include the distribution of societal assistance to destitute people, subsidies on basic nutrient point, ZEP programme in schools to heighten degree of instruction, micro-financing to little and average endeavors, female authorization in labour market.

In the 2008/09 National Budget, the Government provided Rs 395 million for the puting up of the of the Eradication of Absolute Poverty ( EAP ) Programme, an integrated development undertaking which targets the families in the 229 pockets of poorness. In 2009, the Government has set up the National Empowerment Fund as an institutional model to beef up the function of assorted policy programmes such as the Empowerment Programme, EAP, Decentralised Cooperation Programme ( DCP ) , etc. Despite the authorities policies, reforms and actions, poorness is still relentless in Mauritius.

Poverty perceptual experiences

Poverty is a complex issue and multifaceted. This has ever been of concern for everybody. Many surveies and policy programmes have been put frontward to measure poverty state of affairs in the state and besides to aim the hapless. It is deserving observing that the proportion of people populating below $ 1.25 per twenty-four hours, international poorness line, is about negligible in the state. In contrast, past surveies have shown that there are people populating in terrible poorness. The Relative Development Index for administrative parts, Municipal Wards and Village Council Areas ( Central Statistics Office, 2000 ) identified the least developed parts in the state. The Trust Fund of Social Integration for Vulnerable Groups ( set up in 2001 ) identified 229 pockets of poorness. The qualitative survey conducted by DCP pointed out that there were people fighting for basic nutrient. As a affair concern poorness has even been linked to a peculiar cultural group that is, poverty perceived as ‘malaise Creole ‘ .

These perceptual experiences of poorness are grounds that people show their concern and this concern has accentuated the demand for good measuring.

Aim of survey

The complexness and sensitiveness of poorness has accentuated the involvement of people in aiming the hapless and measuring poorness. Arguments, focal point group treatments and surveies sing poorness relief are still traveling on. Research workers are looking for new measuring and attacks to measure poorness in the state. Policy shapers are looking for high quality inputs to explicate targeted schemes and programmes.

In visible radiation of this, this survey aims at placing the determiners of poorness which are really important for policy analysis and the design of effectual poorness decrease schemes.

Given poorness is a multi-dimensional and cut across assorted factors, it is of paramount importance to cognize the factors increasing the likeliness of being hapless. So far, there has been no poorness survey on the determiners of poorness ; most of the surveies have largely dwelled on the profiles of the hapless and non-poor based on descriptive statistics. So, this survey provides the chance to place the determiners of poorness of the poorest hapless utilizing strict econometric theoretical accounts.

The survey besides provides the chance to analyze poorness non as a duality but as a spectrum. There have been several arguments on poorness as a duality that is, hapless and non-poor ( R. Kanbur ) . Poverty is a spectrum which comprises several classs of being hapless. A polynomial logistic arrested development theoretical account is used to analyze the different groups of the hapless. This will assist policy shapers to aim the precedence countries and explicate proper budgetary steps.

The survey besides offers the chance to measure poorness utilizing the qualitative and quantitative informations. The first and last poorness appraisal on such informations was done in 1996. Today, poorness is assessed on quantitative informations merely ( CSO. Poverty Report ) . Quantitative and qualitative informations allows better apprehension of poorness. Today, maximal accent is laid on ‘poverty participatory ‘ that is to hear the voices of the hapless. This attack is widely used. However, this survey attempts to demo that perceptual experience study allows specious responses and therefore, poorness should be assessed on both quantitative and qualitative informations.

During the recent old ages, the survey of the poorest hapless has been a subject of turning involvement for policy shapers and research workers. So, an effort is besides made to analyze the poorest hapless people. A threshold on nutrient poorness is derived on the footing of available study informations. The determiners of poorness will be identified utilizing this threshold. It would be desirable to analyze the ‘malaise Creole ‘ . However, given informations on ethnicity is non available it is non possible to measure poorness in this peculiar population group.

The survey besides analyses the effects of poorness utilizing the qualitative information of the LCS that is, how hapless hapless people had to borrow money from relative/friends, populating in hapless homes etc.

Last but non the least, the survey besides elaborates the assorted facets that need to be addressed to heighten poverty appraisal in the state for better preparation of policies and schemes at the decision. The public assistance of the population and success of Government policies mostly depend on the quality of statistics ; good quality statistics allows authorities to supervise and set policies to guarantee sustainable societal and economic development.

This survey will, therefore, be based on the information collected at the 2006/07 Household Budget Survey ( HBS ) information and the 2008 Living Conditions Survey ( LCS ) . The HBS is the major beginning for poorness analysis. Together with income and outgo informations, it contains elaborate information on the demographic, educational and economic position of the family members. The LCS is sub-sample study from the HBS ; this study differs from the usual family study conducted by the CSO ; it is an sentiment based study based on Participatory Assessment attack ; together with socio demographic inside informations of the family members, it contains the appraisal inside informations of the families with respects to their life manner. The information of the LCS study allows a more in-depth analysis of the living status of the people.


2.1 Background information

The Republic of Mauritius is a group of islands located in the south-west of the Indian Ocean, dwelling of two chief islands, the island of Mauritius and island of Rodrigues. The island of Mauritius and Rodrigues has a entire country of 1865 sq. kilometer. and 140 Sq. Km. severally. The Republic of Mauritius is a multi-racial state consisting the general population that is, assorted European and African beginning, Indo-Mauritians and Sino-Mauritians. The official linguistic communication being English, but French is widely spoken. Mauritius has been in turn a Dutch, Gallic and British settlement. It became independent of Britain on 12 March 1968.

Since independency in 1968, Mauritius has achieved considerable advancement in both its economic growing and criterion of life. In the economic sector, Mauritius has developed from a low-income, agricultural based economic system to an upper middle-income diversified economic system with turning industrial, fiscal and tourer sectors. With the uninterrupted spread outing economic system, Mauritius has continuously moved in front from the primary to third sector. The portion of GDP in agricultural sector has continuously decreased from 7.1 % in 1999/2000 to 4.4 % in 2008/09 ; the portion of GDP in the Tertiary sector has continuously increased from 67.8 % to 72.6 % during same period. Mauritius is ranked among upper middle-income states ( e.g. illustration of states ) with a Gross Domestic Product ( GDP ) per capita of around $ 4,000 in 2004. Recent figures as at 2007 show that the GDP per capita worked out to above Rs 149,049 ( Figure 1 ) ; the one-year growing rates worked out around 5 % for the past three old ages ; the growing of investing ( Gross Domestic Fixed Capita Formation ) increased significantly from +19.2 % in 2006 against -8.3 % in 2000. The Foreign Direct Investment ( FDI ) as a per centum of GDP worked out to 3.5 % in 2006 against 1.5 % in 2005. Modernisation and enlargement of the economic system is evident from the increasing usage and handiness of telephones ( 28.6 per 100 people in 2008 ) , Mobiles ( 81.2 per 100 people in 2008 ) , computing machines ( 24.2 % of families in 2006 ) and internet endorsers ( 15.8 per 100 people in 2008 ) .

Together with economic development, Mauritius has achieved singular advancement in the societal development ; the criterion of life has changed over the old ages in footings of increased life-expectancy, lowered infant mortality, high literacy, high engagement rate of kids in schools, improved substructure, leisure and athleticss etc ; Mauritius has a life anticipation at birth of 72 old ages in 2006 compared to 69 old ages in 1990 ; The grownup literacy rate rose from 79.9 % in 1990 to 84.3 % in 2000 ; the primary school registration is about 100 % ; the infant mortality rate ( per 1,000 unrecorded births ) dropped from 20.4 in 1990 to 14.4 in 2008 ; the unemployment rate, being a major concern for the state, has decreased from 9 % in 2000 to 7 % in 2008 ; the utmost poorness is about negligible ( less than 1 % of the population is found below the poorness line of $ 1 a twenty-four hours ) . Due to sustained development in the societal sector, Mauritius, 2nd Sub-African state, now stands among high Human Development states. In 2003, Mauritius shifted from medium development to high with a Human Development Index ( HDI ) value of 0.800 ; based on the latest UN Human Development Report 2009, Mauritius has an HDI value of 0.804 and ranked 81 among 182 states. ( Refer figure 2 – HDI tendency ) Harmonizing to the advancement to tract the 8 Millennium Development Goals, Mauritius, through sustained policies and actions, have already achieved about 6 ends in the obliteration of utmost hapless, accomplishment of primary school registration, cut down kid mortality, better maternal wellness, sustainable environment, and economic development.

Despite these singular economic public presentations and sustained societal developments, Mauritius still has to react to many challenges ; there are a figure of short and average term challenges ; these relate to productiveness, eroding of trade penchants, exchange rate fluctuations, budget shortages and unemployment. Consequently, these are impacting on societal development therefore taking to environmental debasement, poorness issues such as job of societal exclusions etc. An overall appraisal of the poorness state of affairs in the state is highlighted in the undermentioned paragraphs.


Poverty is non extremely prevailing in Mauritius as compared to the Sub-saharan African states where 1000000s of people are fighting to populate below a $ 1 a twenty-four hours, 1000000s people deceasing due to diseases and hungriness, 1000000s of kids in labour alternatively of being a school etc. However, poorness does be in Mauritius ; there exist pockets of poorness across the state.

Harmonizing to the CSO publications on poorness analysis study 2001/02 and 2006/07, it is noted that utmost poorness is about negligible in Mauritius ; the proportion of population life below the $ 1.25 ( PPP ) a twenty-four hours, so called US $ 1 a twenty-four hours, is estimated to be less than 1 % . As compared to other Sub-saharan African states like Zambia, Nigeria, etc. , poorness is comparatively really low in Mauritius. Harmonizing to the Millennium Development Goal 1 – Eradicate utmost poorness hungriness and the mark being to halve the proportion of hapless by 2015, Mauritius has already achieved this mark. However, an analysis on qualitative appraisal on poorness conducted by Decentralized Cooperation Programmes relates that there are Mauritanian people who are fighting for basic nutrients ( DCP, 2009 ) .

Mauritius does non hold a national poorness line. However, on the footing of comparative poorness measuring and informations collected at Household Budget Surveys, the poorness state of affairs is assessed by utilizing a poorness line defined as ‘half average monthly family income per grownup equivalent ‘ . In 2006/07, the poorness line is estimated at Rs 3,821, about 8.5 % of the population is deemed to be hapless. The studies relate that poorness is extremely prevailing among individual member families ( 10.3 % ) , female headed families ( 11.9 % ) , one parent families with single kids merely ( 13.5 % ) , households with big figure of dependent kids ; caputs of families with educational attainment below Standard VI ( 13.2 % ) and being inactive ( 11.0 % ) were found most vulnerable. The study besides highlights that the income disparity between hapless and families that is, the household income for the hapless ( Rs 7,055 ) was three times lower than that of all families ( Rs 22,242 ) ; hapless families were found extremely reliant on authorities societal security benefits that is, basic pensions and societal assistance. It was noted that if authorities societal security benefits are discontinued the poorness incidence would duplicate ; poorness rate would increase from 7.9 % to 15.9 % ) .

The study besides sheds visible radiation on the family term of office of hapless individuals. It was found that 82 % of the hapless families owned a home against 92 % for all families. In footings of family goods and durable goodss, hapless families were more likely to possess telecasting ( 85 % ) , icebox ( 63 % ) , fixed telephone ( 41 % ) ; in peculiar, nomadic phone ( 48.5 % ) ; it is deserving observing that the proportion of hapless families with nomadic phones in 2001/02 was about negligible. As respects chief usage of cooking fuels, hapless families have already switched off to cooking gas. In 2006/07, about 90 % of the hapless families used cooking gas and therefore, merely 10 % of them had resort to cheaper fuels like wood and kerosine.

The portion of outgo on nutrient and non-alcoholic drinks, besides a step of economic well-being, decreased from 42 % in 1986/87 to 32 % 2006/07. This implies that people are better off.

The modernisation, industrialisation and increasing economic growing has lead to the turning income inequality in the population and increasing figure of pockets of poorness ( NMDG study, 2002 ) . Indeed, this phenomenon is rather common in most underdeveloped states. The Gini Coefficient, a step of income inequality, dropped from 0.445 in 1980/81 to 0.388 in 2006/07. A Gini nearing to 1 agencies perfect inequality and 0 no inequality. However, harmonizing to the past three Household Budget Surveys, the 2006/07 Gini has deteriorated to some extent ( 0.387 in 1996/97, 0.371 in 2001/02 and 0.388 in 2006/07 ) Refer figure 3. The ratio of portion of income traveling to richest decile and portion of income traveling to poorest decile worked at 7.4 in 2006/07 against 7.9 % in 1986/87. The unequal distribution of income in the population gives rise to turning figure of pockets of poorness. The CSO publication on Relative Development Index based on 2000 Housing and Population Census information shows the administrative parts with least developments. These least developed countries are more concentrated in the island of Rodrigues and the E, West and south portion of the island of Mauritius. In 2006, the Trust Fund of Integration of Vulnerable Group has come up with a list of 229 pockets of poorness across the island of Mauritius.

In 2009, the Decentralized Cooperation Programme has come up with a study on qualitative survey on poorness appraisal. In the overall appraisal, the writer has highlighted the profiles of the hapless and some appraisal of policies in the state. The study besides presents that poorness is extremely correlated with gender, employment, degree of income, degree of instruction, geographical countries etc. It is besides noted that poorness is besides related to ethnicity. The writer raised the issue where poorness was characterized as ‘Malaise Creole ‘ . And besides that poorness is prevailing among fisherman life in coastal countries. The chief appraisals of the pilot survey are as follows: –

people are happening it hard to bask even a basic diet ;

high grade of liability in hapless families ; and

trouble in paying public-service corporation measures and purchase of basic nutrient points

In 1997, the Appavoo & A ; Associate, together with Data Research Africa has come up with a study on poorness analysis in Mauritius. The study highlighted the poorness incidence in footings of pecuniary attack in the state, together with an appraisal of people perceptual experiences on policies in instruction, conveyance, wellness etc. The study besides highlighted the prevalence of poorness in connexion with parts, families with big figure of dependants, female headed families etc.

2.3 Poverty policies and actions

The obliteration of poorness is on the docket of the authorities. Government, together with private administrations and aid of international bureaus like the UNDP, IMF, World Bank etc. is doing conjunct attempt to eliminate poorness in the state. Assorted societal public assistance programmes and constabularies have been implemented. Some illustrations of the societal public assistance programmes are as follows: –

Distribution of societal security benefits – old age pension to guarantee proper criterion life for aged people aged 60 old ages and over, widows pension, invalid pensions, societal assistance for hapless families etc.

Subsidy on flour, ration rice and cookery gas ;

Free instruction at primary and secondary instruction ; distribution of books in primary instruction ; distribution of day-to-day staff of life ‘pain maison ‘ in primary schools ; distribution of nutrient in selected schools under Zone Education Prioritaire programmes ; Industrial and vocational preparation for kids holding non passed the concluding phase of primary instruction ; distribution of computing machines in schools.

Free wellness services in authorities infirmary and country wellness Centres ; wellness services through ‘Caravane de Sante ‘ in different parts of the state ; school and domiciliary visit of wellness personel ; Sensitization run on HIV in schools and workplaces ;

Free conveyance installation to elderly, shut-ins and school traveling kids

Low involvement lodging loan for edifice of houses ;

Empowerment Programme set up in 2006 in position of authorising unemployed people and besides adult females holding lost their occupations ;

Fiscal services such as Micro-credit strategy to authorise adult females entrepreneurs

Harmonizing to figures published by the CSO, the authorities outgo on ‘Community and Social Welfare ‘ worked out around Rs 30 Billion every fiscal twelvemonth over a entire authorities outgo of Rs 50 Billion, therefore bespeaking that Government disburse more than 50 % of the authorities outgo to societal and public assistance development.

Together with these societal public assistance programmes, several poorness relief programmes were set up which are as follows: –

Trust Fund for the Social Integration of Vulnerable Group ( 2001 ) set up in position of turn toing the demand of the hapless people who are excluded from the chief watercourse of socio-economic development

A Nou Dboute Ensam ( 1999 ) aims at advancing subsidies and micro recognition strategies to the vulnerable groups.

IFAD, Community Development Programme ( 2000 ) aims at conveying deprived people within an organisational model

Leve Deboute ( 1999 ) focuses at income generating activities and community developments in Rodrigues

Decentralised Cooperation Programmes ( 2006 ) funded by European Union to contend against poverty Alleviation of poorness in Mauritius and Rodrigues by bettering the bringing of societal services and complementing the resources of vulnerable groups

National Empowerment Fund ( 2008 ) aims to contend against poorness.

Eradication of Absolute Poverty

2.4 Poverty measuring

The measuring of poorness depends on how poorness is perceived. Harmonizing to the description of poorness appraisal in Mauritius, it is clear that there is no individual measuring of poorness. Poverty is assessed in footings of ‘Absolute ‘ , ‘Relative ‘ and ‘Subjective ‘ . The attacks are compactly described below: –

Mauritius does non hold a national poorness for illustration the ‘minimum vital ‘ which is often updated with monetary value rising prices as in the context of absolute poorness. The World Bank $ 1 buying power para a twenty-four hours international absolute poorness line is found non relevant to the context of Mauritius. The advantage of utilizing an absolute poorness line is that it allows comparing over clip therefore heightening uninterrupted poorness appraisal and monitoring.

In the absence of the absolute poorness, the CSO uses the comparative poorness measuring based on half average family income where accommodation for family size and composing and economic systems of graduated table are considered. The comparative poorness measuring reveals the predominating poorness state of affairs for a given clip period. This attack is the most normally used step peculiarly in developing states. The comparative poorness measuring still varies because some of the appraisals are based on income/expenditure, mean/median income, 40 % , 50 % or 60 % average income etc.

Subjective poorness is the appraisal of the poorness state of affairs based on the participatory of the hapless individuals for illustration the poorness appraisal in 1996 ( Appavoo & A ; Associates ) .

Poverty has besides been done on the footing of non-monetary attack that is, other than utilizing income/expenditure informations. The Relative Development Index which attempts to place the least developed administrative parts is based on lodging and socio-economic variables at the Housing and Population Census.

Chapter 5 – Methodology

5.1 Introduction

This chapter presents the methodological portion of the survey. It gives a wide description of the statistical theoretical accounts used and besides the finding of the different thresholds used. Given that this survey aims to show the determiners of poorness for utmost poorness and besides an in-depth analysis of the assorted sub groups of hapless population, two econometric theoretical accounts are being used viz. the logistic arrested development theoretical account and the polynomial logistic arrested development theoretical account.

5.2 Regression theoretical account

Arrested development analysis plays an importance function in statistics ; it is a really powerful and normally used technique. This technique provides more meaningful consequences and decisions as compared to descriptive statistics. In the context of analyzing the determiners of poorness among assorted explanatory variables, the relevancy of utilizing arrested development theoretical account is elaborated on the World Bank web site.

5.2.1 Choice of theoretical account

Get downing with the simplest linear of the General Linear Model ( GLM ) .

The simplest additive arrested development theoretical account that can be used for the analysis is the multiple arrested development ( MR ) theoretical account where the result variable, Y is regressed on a set of forecasters X. The MR is in the signifier of,

Yttrium: result uninterrupted variable

Ten: set of P predictors/ explanatory variables

Tocopherol: Error term, usually distributed with Mean 0 and discrepancy I? 2

I± : intercept term

I? : coefficients of explanatory variables

However, given that our dependent/response variable in the analysis is a dichotomous/ categorical variable, the MR is non appropriate. The MR requires the response variable to be uninterrupted and to be usually distributed. In fact, the MR has besides been used to place determiners of poorness, where the response variable was log outgo of families and Ordinary Least Square was used to gauge parametric quantities.

The arrested development analysis of categorical response can be made possible by utilizing the theoretical accounts of the Generalised Linear Models ( GzLM ) household where it relaxes the premises of normalcy. This belongings of the GzLM has widened the range of informations analysis.

The GzLM is, so, an extension of the category of additive theoretical account. It provides the chance to analyze response variables which follow distributions other than normal distribution ; and besides the distribution should belong to an exponential household.

Both logistic and Polynomial arrested development theoretical account signifiers portion of GzLM. The application of such arrested development theoretical account is good known in statistics. They are implemented in assorted Fieldss ( educational, wellness, poorness etc. ) to analyze complex informations with categorical response variable.

It is deserving observing that logistic arrested development theoretical account has mostly been used in societal scientific disciplines since early 1980 ‘s. Its application in societal scientific disciplines has known no bounds. This technique has been used in instruction research ( success or failure ) , wellness ( decease /survival, with/without of disease ) etc. Similarly, in the analysis of poorness, research workers have mostly made usage of this theoretical account and came with utile and effectual solutions for determinations shapers. The Multinomial theoretical account has besides been used to demo the poorness as a spectrum.

5.2.2 Description of theoretical account


Logistic Regression ( LR ) is a member of the GzLM household where the response variable is dichotomous ( 1, 0 ) stand foring success/failure and presence /absence ( Princetone, Chapter 3 ) . It is besides called Binary Logistic arrested development.

So, in this survey of the determiners of poorness based on an utmost poorness line, the application of a logistic arrested development theoretical account is relevant where response variable ( Y ) is binary ( poor/non-poor ) . The explanatory variable /predictor ( X ) can be either categorical or uninterrupted.

Get downing with the simplest logistic theoretical account is as follows:

The logistic theoretical account predicts the logit of Y from X. The logit is the natural logarithm of odds of Y and odds are the ratio.

The log of the uneven ratio, log ( Iˆ/ 1-Iˆ ) , is the nexus map called the logit which map the chances ( 0, 1 ) to ( -I‰ , +I‰ ) that is linearizing the distribution and doing it boundless.

The logit, therefore, links the response variable ( poor/non-poor ) to the set of forecasters ( socio-economic, demographic and lodging variables )

Using the logit ( Iˆ ) , the intercept ( I± ) and ( I? ) is calculated. And, utilizing antilog, the chance ( Iˆ ) is expressed in the signifier of

Multiple Logistic Regression

In the instance of several forecasters, the Multiple Logistics Regression is used. The theoretical account is expressed as follows: –

the chance is derived by taking antilog and expressed as follows: –

In this instance, for each forecaster we have a I? ; the coefficients in ( LR ) are estimated utilizing maximal likeliness.

The reading of consequences can be done utilizing the odds ratio or even the chances.

Iˆ = conditional chance of being hapless, P ( Y=1 / X1, X2, aˆ¦. , Xp ) ; it is assumed that the chance of being hapless depends on the set of combinations of forecasters X.

Y= 1, being hapless and Y= 0 being non-poor

the uneven ratio is the ratio of the chance to its complement that is, ratio of being hapless to non-poor. An uneven ratio greater than 1 implies the addition in the likeliness of being hapless ; if it is less than 1, it decreases the likeliness of being hapless.

Evaluation of forecasters in theoretical account

The part of a forecaster is assessed by analyzing the decrease in aberrance G statistics, brought by the inclusion of the forecaster in the theoretical account relation to the void theoretical account. The void theoretical account, logit ( Iˆ ) = I± , is the simplest theoretical account with maximal aberrance ; it indicates that the chance of being hapless is changeless for all classs. The decrease is aberrance is so tested to a chi-sq distribution.

Goodness of Fit Statistics

Goodness of tantrum of the theoretical account is assessed utilizing the Hosmer Lemeshow trial. This trial is considered more robust than the traditional chi-square trial peculiarly if covariate is in the theoretical account or sample size is little. A determination of non significance corresponds to the research worker reasoning the theoretical account adequately fits the information.

& A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ;


The Multinomial Logistic Regression ( MLR ) theoretical account is an extension of the Logistic Regression ( LR ) theoretical account, where the response variable has more than 2 classs. For illustration, in this survey four thresholds of hapless are defined which are as follows: –

Poorest – Families with entire income below 40 % average income

Poorer – Families with entire income & gt ; 40 % average income but less 50 % average

Poor – Families with entire income & gt ; 50 % average income but less 60 % average

Non-poor- Households with entire income & gt ; = 60 % average

If the Non-poor is chosen as the mention class, the logits for other classs are defined as

Logit ( Iˆj ) = log ( Iˆj/ Iˆ4 ) = XjTI?j

j= 1, 2, 3 classs ( poorest, poorer and hapless )

XT= transpose of set of forecasters

I’ = set of coefficients of explanatory variables

The estimated chances are presented as

Estimated Iˆj = Estimated Iˆ1exp ( XjTI?j )

& A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ; & A ;

5.2.3 Model analysis

In this survey, the forward arrested development is used where the analysis begins with void theoretical account and the explanatory variable is added one by one, till the preferable theoretical account is generated. After the inclusion of each explanatory variable, the part of the variable is measured based on the G statistics ( decrease of aberrance ) .

The significance, part and reading of variables is analysed by sing

positive and negative marks of coefficients of explanatory variables

the omega statistics [ I?/SE ( I? ) ]

P values

G statistics – Decrease in aberrance

Odd ratios

The Maximum Likelihood is used to gauge the parametric quantities I± and I? in both arrested development theoretical accounts.

5.3 Choice of poorness line

Mauritius has no official poorness line. In order to measure poorness in the state, the CSO uses the comparative poorness line defined as ‘half average monthly family income per grownup equivalent ‘ .

Thresholds for the poorest hapless

The poorest hapless are those families in the poorest quintile group of family income per grownup equivalent which satisfy the undermentioned three conditions.

( I ) family is holding trouble to obtain day-to-day basic nutrient

( two ) family consume authorities rice

( three ) family purchase nutrient on recognition

Food is, in fact, the basic demand for a individual to last ; Government rice is the cheapest rice in the state ; if a individual is borrowing money to pass on nutrient, it means the individual is in terrible poorness. at international, nutrient poorness line is used to mensurate utmost poorness for illustration UN Millennium Development Goals calls to eliminate hungriness worldwide.

Multiple groups of poorness

The 40 % , 50 % and 60 % median of household income per grownup equivalent is used. In 2006/07, the 40 % , 50 % and 60 % average income are estimated at Rs3,057, Rs 3,821 and Rs4,585 severally.

5.4 Statistical bundle

The logistic arrested development can be run utilizing many statistical package of which there are STATA, SPSS and MINITAB. For this survey, STATA and MINITAB are used ; the readying of information was performed utilizing STATA and the arrested development theoretical account was run on MINITAB.

5.5 Constraints

The restraints obtained when analyzing the information is compactly presented as follows: –

Problems when disaggregating informations at lower degree ; given that the analysis of determiners of poorness has been carried out on a sample of 1,683 families, where 187 were hapless hapless families, the analysis of disaggregated information was hindered due to few observations in cells and which subjected to low dependability of estimations. In some instances, some of import variables like type of families, figure of aged in families, which are really much linked to poverty were discarded. This restraint has hampered the amplification of informations analysis. This job of disaggregation is more acute in the analysis of the different subgroups of poorness. When farther disaggregating the class of hapless by selected variables, really few observations were found in some cells. In order to undertake with this job, the variables have been aggregated into broader classs.

Problems when uniting qualitative and quantitative informations, many specious observations were obtained. Families which were found in high decile group of income at the HBS responded being really hapless at the LCS and vice/versa. In this instance, the invalid responses were dropped. This besides decreases the sample size and therefore, we encountered job as mentioned in ( I ) .

Of class, these restraints hampered the information analysis, since profound analysis could non be done. The lesson from these restraints indicates that a specific poorness study is required where all the variables related to poorness are collected for illustration ownership of fixed assets ( estates of land ) and over sampling of families in disadvantaged parts is considered.