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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/334" />
  <subtitle />
  <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/334</id>
  <updated>2026-05-21T02:47:37Z</updated>
  <dc:date>2026-05-21T02:47:37Z</dc:date>
  <entry>
    <title>Mind the Gap: Temporal trends in Inequalities in infant and child mortality in India (1992–2016)</title>
    <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/361" />
    <author>
      <name>Ranjan, Mukesh</name>
    </author>
    <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/361</id>
    <updated>2024-06-05T06:45:45Z</updated>
    <published>2018-05-04T00:00:00Z</published>
    <summary type="text">Title: Mind the Gap: Temporal trends in Inequalities in infant and child mortality in India (1992–2016)
Authors: Ranjan, Mukesh
Abstract: Reduction in Infant and under 5 deaths has been a priority across the developing&#xD;
world but has met with varying success both between and within countries&#xD;
(Countdown, 2008). In spite of its economic progress and home to more than 18&#xD;
percent of the world’s children (UN,2017), India has made slow progress with&#xD;
respect to child mortality as compared to other countries in the region (WHO,2016).&#xD;
India finds herself 48th out of 89 on infant mortality rate (UN, 2017) and has slipped&#xD;
down to 131 among the 188 countries ranked in terms of human development (HDI,&#xD;
2016; UNDP, 2016). It is therefore not surprising that India failed to achieve its MDG&#xD;
5 target which has huge implications as almost 20% of world's infant deaths are&#xD;
experienced in India (UNICEF,2017).</summary>
    <dc:date>2018-05-04T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Infant mortality and death clustering at the district level in India: A Bayesian approach</title>
    <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/359" />
    <author>
      <name>Ranjan, Mukesh</name>
    </author>
    <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/359</id>
    <updated>2024-06-05T06:38:08Z</updated>
    <published>2022-01-01T00:00:00Z</published>
    <summary type="text">Title: Infant mortality and death clustering at the district level in India: A Bayesian approach
Authors: Ranjan, Mukesh
Abstract: This study assessed the clustering of and spatial variations in infant mortality between districts in selected states&#xD;
of India using a Bayesian geoadditive model. The study utilized 10 years of retrospective birth history of women&#xD;
from the fourth round of NFHS-4 (2015–16). Findings suggest, except Kerala, there was a significant amount of&#xD;
clustering of infant deaths in families in the selected Indian states. The maximum impact of clustering was&#xD;
observed in Assam, followed by Madhya Pradesh, Bihar, Uttarakhand, and Uttar Pradesh. The estimated residual&#xD;
spatial effect was statistically significant in all the states, with the maximum effect being in Assam and Chhattisgarh.&#xD;
The risk of infant death in Assam was higher in the north-eastern districts and lower in the southern&#xD;
districts of the state. Mother’s age at child birth had a nonlinear effect on infant death in all the states, although&#xD;
significant effects were observed only in Bihar and Assam. In both of these states, mother’s age at child birth had&#xD;
a “U-shape,” showing that the risk of infant death was higher at both earlier and later ages of mother’s reproductive&#xD;
period. With the exception of Kerala, all the other selected states in the study had an “elongated L&#xD;
shaped” pattern, showing that in the early ages of the reproductive period, the risk of infant death was very high&#xD;
and that it gradually decreased with age and remained constant thereafter. In Kerala, mother’s age at child birth&#xD;
was a straight line, implying that the risk of infant death was constant across the reproductive age of women. In&#xD;
order to keep infant mortality at a low level and to achieve better maternal and child health outcomes, the&#xD;
government needs to target families experiencing multiple infant deaths. In addition, programs must take into&#xD;
consideration the prevailing state-specific spatial heterogeneity in infant deaths and factors like mother’s age at&#xD;
child birth.</summary>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>EDUCATIONAL DEPRIVATION IN INDIA : AN EVIDENCE FROM NATIONAL SAMPLE SURVEY</title>
    <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/358" />
    <author>
      <name>Ranjan, Mukesh</name>
    </author>
    <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/358</id>
    <updated>2024-06-05T06:34:49Z</updated>
    <published>2021-01-01T00:00:00Z</published>
    <summary type="text">Title: EDUCATIONAL DEPRIVATION IN INDIA : AN EVIDENCE FROM NATIONAL SAMPLE SURVEY
Authors: Ranjan, Mukesh
Abstract: Present study tries to understand the correlates and access to education in terms of two important dimensions of&#xD;
educational deprivations i.e educational wastage and educational non-enrolment for the of persons of age (5-29) years.&#xD;
The study highlighted the constraints in proper implementation of Right to Education act in India. The empirical&#xD;
analysis shows that the mean age of enrolment in Indian school is 5.5 years and drop-out age is 14 years and 60 percent&#xD;
females never get enrolled in school in their lifetime. Among states, nearly 20 percent children in Bihar never seen&#xD;
school and more than 33 percent of the children in relatively developed states like Gujarat, Maharashtra, Karnataka,&#xD;
Kerala and Tamil Nadu are educationally wasted while in Andhra Pradesh, West Bengal and Orissa have of total&#xD;
children(5-29 years) half are educationally wasted. The main reasons of educational deprivation were lack of interest in&#xD;
education and financial constraints.</summary>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>REAL CONTRIBUTION OF AUTONOMOUS FACTORS OF WOMEN’S EMPOWERMENT FOR WOMEN’S RIGHTS IN INDIA</title>
    <link rel="alternate" href="http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/353" />
    <author>
      <name>Ranjan, Mukesh</name>
    </author>
    <id>http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/353</id>
    <updated>2024-06-05T06:11:01Z</updated>
    <published>2016-01-01T00:00:00Z</published>
    <summary type="text">Title: REAL CONTRIBUTION OF AUTONOMOUS FACTORS OF WOMEN’S EMPOWERMENT FOR WOMEN’S RIGHTS IN INDIA
Authors: Ranjan, Mukesh
Abstract: Women’s autonomy is instrumentally important for achieving positive development outcomes and well-being of life which lies in the doing and being what one value and have reason to value i.e. agency. National Family and Health Survey-3, 2005-06 of India found that only 11 to 13 percent of women directly empowered while nearly 80 percent of women indirectly empowered in India and the rest of all are fully dependent upon spouses or other family members to take partially decision to control their life. This study tries to examine various conceptions of these ideas to clearly mark the overlapping zones and distinguishing features of respective concepts of women’s autonomy in India. These variables are use as an autonomous factor of women’s empowerment in India. By using Binary Logistic Regression analysis study investigates to correlates of empowerment based on the socio-economic and demographic characteristics like residence, religion, caste, current age, age of marriage and number of living children. Findings of the study shows that the female living in urban areas has more freedom of movement and control over resources and decision making power as compared to women those living in rural areas. Demographic characteristic such as age of women, age at marriage and number of living children are positively associated with women’s autonomy. The social characteristics like religion and caste are importance factors, So late marriage of women and less number of children can be play a role to make women more empowered. Overall this study can be helpful for policy maker and demographer to understand main factors of women’s</summary>
    <dc:date>2016-01-01T00:00:00Z</dc:date>
  </entry>
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