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<front>
<journal-meta>
  <journal-id journal-id-type="publisher-id">46</journal-id>
  <journal-id journal-id-type="short-title">gssr</journal-id>
  <journal-id journal-id-type="doi">10.31703/gssr</journal-id>
  <journal-title-group>
    <journal-title>Global Social Sciences Review</journal-title>
    <abbrev-journal-title abbrev-type="publisher">gssr</abbrev-journal-title>
  </journal-title-group>
  <issn publication-format="print">2520-0348</issn>
  <issn publication-format="electronic">2616-793X</issn>
  <self-uri xlink:href="https://gssrjournal.com"/>
  <publisher>
    <publisher-name>Humanity Publications</publisher-name>
    <publisher-loc>Pakistan</publisher-loc>
  </publisher>
</journal-meta>
<article-meta>
  <article-id pub-id-type="publisher-id">390674</article-id>
  <article-id pub-id-type="doi">10.31703/gssr.2019(IV-II).01</article-id>
  <article-id pub-id-type="other" specific-use="submission-id">1143</article-id>
  <article-version article-version-type="publisher">1.0</article-version>
  <article-categories>
    <subj-group subj-group-type="heading">
      <subject>article</subject>
    </subj-group>
  </article-categories>
  <title-group>
    <article-title xml:lang="en">An Analysis of Socioeconomic Stratification, Intra-Temporal and Intra Generational Household Mobility in Central Punjab, Pakistan</article-title>
  </title-group>
<contrib-group>
  <contrib contrib-type="author" seq="1" corresp="yes">
    <name>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
    <xref ref-type="corresp" rid="cor1"/>
  </contrib>
  <contrib contrib-type="author" seq="2">
    <name>
      <surname>Khalid</surname>
      <given-names>Samra</given-names>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
    <xref ref-type="aff" rid="aff1"/>
  </contrib>
  <contrib contrib-type="author" seq="3">
    <name>
      <surname>Asghar</surname>
      <given-names>Nabila</given-names>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
    <xref ref-type="aff" rid="aff2"/>
  </contrib>
  <aff id="aff1">
    <label>1</label>
    <institution-wrap>
      <institution>PhD ScholarDepartment of Economics, University of the Punjab, Lahore</institution>
    </institution-wrap>
    <addr-line>Punjab</addr-line>
    <country>Pakistan</country>
  </aff>
  <aff id="aff2">
    <label>2</label>
    <institution-wrap>
      <institution>Department of Economics and Business Administration, University of Education, Lahore</institution>
    </institution-wrap>
    <named-content content-type="author-role">Assistant Professor</named-content>
    <addr-line>Punjab</addr-line>
    <country>Pakistan</country>
  </aff>
</contrib-group>
<author-notes>
  <corresp id="cor1">Corresponding Author: </corresp>
<fn fn-type="COI-statement" id="fn-coi">
  <p>The authors declare that they have no conflicts of interest.</p>
</fn>
<fn fn-type="ethics-statement" id="fn-ethics">
  <p>This study did not require formal ethics approval.</p>
</fn>
<fn fn-type="data-availability-statement" id="fn-data">
  <p>Data sharing is not applicable to this article.</p>
</fn>
</author-notes>
<pub-date pub-type="epub" date-type="pub" publication-format="electronic">
  <day>30</day>
  <month>06</month>
  <year>2019</year>
</pub-date>
<pub-date pub-type="collection">
  <month>06</month>
  <year>2019</year>
</pub-date>
<pub-date date-type="pub" publication-format="print">
  <day>16</day>
  <month>02</month>
  <year>2022</year>
</pub-date>
  <volume>4</volume>
  <issue>2</issue>
  <season>Spring</season>
  <fpage>1</fpage>
  <lpage>9</lpage>
  <history>
    <date date-type="accepted">
      <day>16</day>
      <month>02</month>
      <year>2022</year>
    </date>
  </history>
<funding-group>
  <funding-statement>
<p>The authors received no specific funding for this work.</p>
  </funding-statement>
</funding-group>
<permissions>
  <copyright-year>2019</copyright-year>
  <copyright-holder>Humanity Publications</copyright-holder>
  <license license-type="open-access" xml:lang="en" xlink:href="https://creativecommons.org/licenses/by/4.0/">
    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License.</license-p>
  </license>
</permissions>
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<self-uri content-type="pdf" xlink:href="https://gssrjournal.com/pdf/gssr/RXzD5LgkAd.pdf"/>
<supplementary-material id="suppl-1" content-type="local-data">
  <label>Supplementary Material 1</label>
  <caption>
    <title>APPENDIX</title>
    <p>Table A. 1</p>
  </caption>
</supplementary-material>
<supplementary-material id="suppl-2" content-type="local-data">
  <label>Supplementary Material 2</label>
  <caption>
    <title>APPENDIX</title>
    <p>Table A. 2
 
 
 Assets and Living Status Profile
 
 
 Occupation categories  &amp; 
 Proprietors of Businesses or Operator Of Farm Land
 
 
 
 
 Natural
 walls = 1
 Rudimentary
 walls = 2
 Finished
 walls = 3
 
 
 Garage
 workers, bus boy, carpenter helper, garbage collector, gardener, office boy, messenger,
 waiters, parking attendant, agriculture laborer, etc. (Unskilled worker)
 
 
 
 
 Natural
 roofing = 1
 Rudimentary
 roofing = 2
 Finished
 roofing = 3
 
 
 Bus
 driver, barbers, assembles, conductors, dyers, attendants guards, file clerk,
 meat cutter, butchers, library attendant etc.
 
 
 
 
 No
 facility, Bush, Field = 0
 Pit
 latrine, balti, shared toilet = 1 
 Flush
 , Pour flush = 2
 
 
 Bookbinder,
 mobile accessories installer, meter leader, tailors, lineman, plumber’s
 electricians, blacksmith, shop owner, all type of sale workers. (Semi-
 skilled workers). Proprietors of Businesses or operator Of Farm Land valued
 at 1-2.5 million.
 
 
 
 
 Less
 than 20 % of total assets  (1)
 Between
 33-50% of total assets   (2)
 More
 than 50 % of total assets (3)
 
 
 Primary
 and Junior high school teachers, all types of junior clerk, Patwari,
 collectors, bill accountant and shop owners, etc. Proprietors of Businesses
 or operator Of Farm Land valued at 2.5 -5 million. Clerical/owner of small
 business.
 
 
 
 
 No
 land, house = 0
 Cost
 of land or house is between 2 to 5 million = 1
  Cost of land or house is more than 5 million
 = 2
 Cost
 of land or house is more than 10 million = 3
 
 
 High
 school teacher, farm managers, junior administrators, technicians, associate professionals, etc. Semiprofessional. Proprietors of Businesses or
 operator Of Farm Land valued  10
 million
 
 
 
 
 No
 Animal drought = 0 
 ?2 Animal drought = 1
 ?4 Animal drought = 2
 More
 than 4 Animal drought (rural area question only) = 3
 
 
 All
 regional level officers, university and college professor, doctors captain and
 lieutenant or equivalent. Proprietors of Businesses or operator Of Farm Land
 valued 20 million. Lesser professional /medium size business
 
 
 
 
 Note:
 the score of asset categories is defined separately in SES index due to region wise
 different questions (animal drought includes in rural region). Income and
 assets, both are interval variables in SES index.
 
 
 Chairman,
 president, and beaurocates, high army rank officers etc. Proprietors of
 Businesses or operator Of Farm Land valued at more than 20 million.  Executive/ Major Professional.
 
 
Table A. 3

 
 
 Weight
 of indicator
 
 
 Central
 Punjab urban
 
 
 Central
 Punjab  rural 
 
 
 
 
 PCA method
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Education
 
 
 0.17
 
 
 0.21
 
 
 0.23
 
 
 0.19
 
 
 0.19
 
 
 0.22
 
 
 
 
 Occupation
 
 
 0.19
 
 
 0.20
 
 
 0.29
 
 
 0.26
 
 
 0.28
 
 
 0.22
 
 
 
 
 Adjusted income
 
 
 0.20
 
 
 0.24
 
 
 0.20
 
 
 0.33
 
 
 0.31
 
 
 0.29
 
 
 
 
 Expenditure
 
 
 0.10
 
 
 0.16
 
 
 0.21
 
 
 0.15
 
 
 0.14
 
 
 0.19
 
 
 
 
 Assets
 
 
 0.15
 
 
 0.19
 
 
 0.16
 
 
 0.15
 
 
 0.16
 
 
 0.17
 
 
 
 
 KMO Test
 
 
 0.65
 
 
 0.65
 
 
 0.69
 
 
 0.69
 
 
 0.74
 
 
 0.68
 
 
 
 
 Bartlett’s test
 
 
 377.3
 (000)
 
 
 363.6
 (000)
 
 
 358.9
 (000)
 
 
 197.5
 (000)
 
 
 198.2
 (000)
 
 
 258.9
 (000)</p>
  </caption>
</supplementary-material>
<supplementary-material id="suppl-pdf" content-type="pdf" xlink:href="https://gssrjournal.com/pdf/gssr/RXzD5LgkAd.pdf">
  <label>PDF</label>
  <caption>
    <title>Full Text PDF</title>
  </caption>
</supplementary-material>
  <abstract>
    <p>The study identifies the factors of intra temporal and intra generational household mobility in three districts of Central Punjab. The intra- temporal household mobility estimates the direction of transformation as disequalizing long term income. For the current analysis, three districts of Central Punjab are selected for data collection using literacy rate as prevalence rate. The results of the study show an improvement in education of head of household and other household members which may lead to upward transformation. Furthermore, geography and occupation progression contribute to inter temporal and intra generational mobility in Central Punjab. The results show big cities of central Punjab have considerable benefits of occupational movers from one sector to another as there are sufficient job opportunities available to the households and in rural areas of all the districts households are reluctant to get the benefits of occupational movement. The study concludes that most of the heads of household are educated but occupationally deprived which lead to low extent of intra generational mobility as compared to intra temporal mobility.</p>
  </abstract>
<kwd-group kwd-group-type="author-keywords">
  <kwd>Upward Mobility</kwd>
  <kwd>Socioeconomic Stratification</kwd>
  <kwd>Intra Temporal Household</kwd>
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</front>
<body>
<sec id="sec-1">
  <title>Introduction</title>
<p>Economic positions of individuals change over time due to several reasons in a society, such as their participation in economic activity, improvement in education, occupation progression and geographical movement. The analyses of societal stratification based on income or socio economic variables ignore the reshuffling of individuals in the socio economic distribution over time and this transformation/mobility on different domain is an important aspect which needs to be addressed. There is a distinction between intra generational and intra-temporal socio economic mobility as an organizational device, reflecting the structure of society.  Socioeconomic mobility is the ability of an individual, family or some other groups to improve their socio-economic status in respect of education, occupation prestige and income.</p><p>The academicians are more concerned about upward mobility and reduction in long-term inequality and they have given much emphasis to income inequality in the debate related to income inequality. They regarded income mobility an important complement to measure the extent of income inequality. This study is an attempt to explore the factors responsible for upward mobility of household through developing a model for analysis purpose. The significance of this study is to fill the research gap by identifying the factors responsible for intra temporal and intra generational mobility. The results of the study will be helpful for the policy makers and academicians to understand the important aspect of our society in relation to the upward transformation of the households. In spite of the rich literature, this study has its own significance for the public sector to formulate the appropriate policies because it provides micro level picture about upward transformation of the households of central Punjab, Pakistan.</p><p>The study proceeds as follows:</p><p>In section II discussion regarding the studies related to the stratification process, socio economic factors, and mobility analysis is presented. Theoretical framework, data methodology are presented in section III. Section IV presents the results of stratification, household mobility, consequences of mobility in terms of change in economic wellbeing and the last section concludes.</p>
</sec>
<sec id="sec-2">
  <title>Literature Review</title>
<p>A lot of literature is available regarding the measurement of socio economic stratification and its relationship with mobility and these studies have given emphasis to different factors like mobility, socioeconomic stratification. Fields and Freiji (2007) review a large array of results on mobility about Latin America with the help of different mobility concepts, databases, and methodologies. The results of the study indicate that income mobility is not the same as inequality changes. The studies on mobility expose different pattern and processes than the changes in inequality and rising inequality is well matched with mobility. The study points out that a convergence between high and low earners is initiated when initial reported earnings are used. Fields and Cichello (2003) used linear and non-parametric regression models for Venezuela to measure the extent of income mobility.  They find a significant and negative relationship when they used reported initial income, but they failed to find a significant relationship when predicted initial income was used in the analysis.</p><p>Fields and Hernandez (2007) conducted a survey based study for three countries namely Argentina, Mexico and Venezuela. In each country they took sample of male and female workers from labor force and in a follow up survey one year later. The objective of their study was to analyze the impact of base year reported earnings, longer term earning, gender, age, education and geographic region on changes in earnings from base year to final year. In order to capture earning changes among workers and to exclude new entrants and retirees the study limits the analysis to individual between the age of 25 and 60 years in base year. The study concludes that earnings mobility is more frequent in all the three countries.</p><p>Delorenzi (2006) discusses the geographical mobility mediated by people’s social position, depending on a range of characteristics. The study points out that individuals face obstacles in the way of movement from backward areas to the developed one. The study stresses that geographical mobility in the UK is easier than other European countries. Murphy (2006) points out that two- earners households have been increasing over time for the last two decades. Weitoft et al (2004) are of opinion that the single parent children show poor educational performance due to non-availability of sufficient resources. Blanden et al., (2005) bring up that education is one of the significant variables in?uencing relative social mobility. They show that there exists a relationship between educational attainment and income mobility.</p>
</sec>
<sec id="sec-3">
  <title>Theoretical Framework, Data and Methodology</title>
<p>This study is based on survey directed
to the households of three districts (Lahore, Sheikhupura and Chiniot) for measuring
their socioeconomic status. The respondents are from working class and are in
between the age of 45 and 65 years. The study considers 2000 as a base year and
2017 as a final year. The study uses random sampling technique for the purpose
of data collection. The details of district wise sample is shown in Table 1.</p><table-wrap id="table1"><label>Table
1</label><caption><title>Central Punjab District Wise Sample Criteria</title></caption><table><tbody><tr><td colspan="3"> <p><bold>Central
  Punjab, P (Prevalence rate) = 60 % ,Z_</bold><bold>?</bold><bold> = 95% (1.96), central Punjab region sample n = 370</bold></p> </td></tr><tr><td> <p><bold>District sample</bold></p> </td><td> <p><bold>Urban share</bold></p> </td><td> <p><bold>Rural share</bold></p> </td></tr><tr><td> <p>Lahore, n = 240</p> </td><td> <p>n, 89</p> </td><td> <p>n,
  151</p> </td></tr><tr><td> <p>Sheikhupura, n = 80</p> </td><td> <p>n, 30</p> </td><td> <p>n, 50</p> </td></tr><tr><td> <p>Chiniot, n = 
  50</p> </td><td> <p>n,18</p> </td><td> <p>n,32</p> </td></tr></tbody></table></table-wrap><p><bold>Intra-Generational Mobility, (</bold>                    <bold> -</bold>  <bold>).</bold></p><p><bold>Inactive
Occupation Position of Labor Market: </bold></p><p>It divides the households into five socio-economic strata on
the basis of base year household occupation earning generated by head of the
household only. This domain is considered to be the origins point of
socioeconomic status index (SESI) of the household because the economic cycle of
this domain is 20 year back from the current period, the year of 2000 has been
taken as reference point of analysis or considered as base year observation for
socio-economic period.</p><p><bold>Active
Occupation Position of Labor Market:</bold></p><p>It categorizes the household on the basis
of total household occupation earning generated by head of household till the
time of face to face interview. This domain is to be considered the peak
occupation position in terms of income or socioeconomic position of the
household and taken as intra generational mobility of household due to the head
of household cognitive ability in labor market.</p><p><bold>Intra-Temporal Household Mobility, (</bold>  <bold>-</bold>  <bold>)</bold></p><p>Intra-generational transformation
describes the scenario about socio economic transformation of household on the
basis of head of household intellectual ability and expertise. The question
arises whether the household transformation is occurred only due to head of
household socio economic factors or it has occurred as a result of other
household member’s socio economic participation. For this purpose, the present
study shifts the intra-generational transformation toward intra-temporal
household mobility which indicates how
much household transformation has occurred during twenty year economic cycle
due to collective occupation earning in
labor market relative to the base year or a combination of other socio
economic factors. This study measures two types of transformation
trend with same base year domain</p><p><bold>Collective
Household Earning in Labor Market: </bold></p><p>This domain divides the household into
five socio-economic strata on the basis of their total income including head of
household income at the time of interview. This domain is considered the
destination point of SESI of the household and has been taken as measure of the
extent of household’s mobility from base year to
final year due to participation of all earning hands in occupation market.</p><p><bold>The Model</bold></p><p><italic> = </italic>  <italic>+</italic>  <italic>+</italic>  <italic> + </italic>  <italic>.</italic></p><p><bold>Table 2</bold>. List of Variables Included in Model</p><table-wrap id="table2"><label>Table 2</label><caption><title>Table 2</title></caption><table><tbody><tr><td> <p><bold>Variables</bold></p> </td><td> <p><bold>Description of Variable</bold></p> </td></tr><tr><td> <p>Dependent variable
  is calculated through SES index</p> </td><td> <p>SES index based household (  )</p> <p>1= if households
  transform  from one SE strata to other</p> <p>0 = if households
  did not transform from one SE strata to other during 20 year economic Socio
  economic indicators profile.</p> </td></tr><tr><td> <p>Independent
  variables</p> <p>1. Improvement
  of Education of head of household,</p> </td><td> <p>Socio Economic
  Factors of (  )</p> <p>It is level of
  education of head of household, 0 = non- improved from base year 1= Improved
  from high school to further diplomas/training, 2, Improved from graduate to
  further master/training</p> </td></tr><tr><td> <p>2. Occupation
  improvement of head of households,</p> </td><td> <p>It is the
  categories of occupation of head of household, 0 = non- improved from base
  year, 1= Occupation transformation from unskilled to skilled, 2= Occupation
  transformation from clerical to semi-professional</p> </td></tr><tr><td> <p>3. Level
  of education of other members,</p> </td><td> <p>The average score of
  education of all the members of household.</p> </td></tr><tr><td> <p>4. Dependence
  ratio,</p> </td><td> <p>Number of
  households members less than 18 years and above 60</p> </td></tr><tr><td>  <p>5. Earning
  member,</p> </td><td> <p>It is the number of
  earning member among the total number of household, 0= less than 2 earner, 1
  =  more than 2 earner</p> </td></tr><tr><td> <p>6. Movement
  within country,</p> </td><td> <p>1 = if households
  move toward other cities for betterment other wise, 0</p> </td></tr><tr><td> <p>7. Ownership
  of assets.</p> </td><td> <p>1= ownership of
  assets as compared to base year increased due to more than 50% own hard
  work,  0= It’s all depend on
  intergenerational assets</p> </td></tr></tbody></table></table-wrap>
</sec>
<sec id="sec-4">
  <title>Analysis and Interpretation</title>
<p>Quantitative Analysis of Mobility Pattern.</p><p>Table 3 highlights the size of strata after the mobility in terms of more or less leakage and inject transformation.</p><p><break/></p><p>Table 3. Intra-Generational and Intra-Temporal Household Mobility in Central Punjab</p>
</sec>
<fig id="fig-1"><alt-text>Table 3</alt-text><caption><title>Table 3</title></caption><graphic xlink:href="https://gssrjournal.com/RXzD5LgkAd/Figure 1 .jpg"/></fig>
<sec id="sec-5">
<p><italic>Source:
Author Calculation from the Survey Data, 2018</italic></p><p>The
most benefited group due to intra-temporal household mobility/transformation is
survivors/active occupation and struggling group during a 20 year economic
cycle. This indicates that the households of the Central Punjab have potentials
to provide the socio economic benefits to middle strata and has to take the
society on the path of convergence because there is more chances to equal
distribution of socio economic resources from rich to poor. In case of
intra-generational mobility, the head of the households need not to have
extraordinary potentials to replace their position in hierarchy with more
education and high living standard.</p><p><bold>Table
4. </bold>Contribution
of Factors in Upward Mobility in Urban and Rural Regions of Central Punjab</p><table-wrap id="table3"><label>Table 3</label><caption><title>Table 3</title></caption><table><tbody><tr><td> <p><bold>Socio
  Economic Factors</bold></p> </td><td colspan="2"> <p><bold>Central
  Punjab Urban </bold></p> </td><td>  </td><td colspan="2"> <p><bold>Central
  Punjab Rural</bold></p> </td><td>  </td></tr><tr><td>  </td><td>  </td><td>  </td><td> <p><bold>p-values</bold></p> </td><td>  </td><td>  </td><td> <p><bold>P values</bold></p> </td></tr><tr><td rowspan="3"> <p>Education improvement of head of
  household</p> <p>Improve from high school to further
  diplomas/training,</p> <p>Improve from graduate to further
  master/training</p> </td><td colspan="6">  </td></tr><tr><td> <p>17.719</p> </td><td> <p>4.05</p> </td><td> <p>.000</p> </td><td> <p>8.607</p> </td><td> <p>2.153</p> </td><td> <p>.000</p> </td></tr><tr><td> <p>26.562</p> </td><td> <p>7.94</p> </td><td> <p>.000</p> </td><td> <p>19.18</p> </td><td> <p>5.294</p> </td><td> <p>.000</p> </td></tr><tr><td rowspan="2"> <p>Education level of other Members.</p> <p>Less than equal to 2.5</p> <p>More than 2.5</p> </td><td>  <p>6.4</p> </td><td>  <p>2.3</p> </td><td>  <p>.003</p> </td><td>  <p>-</p> </td><td>  <p>-</p> </td><td>  <p>-</p> </td></tr><tr><td> <p>14.558</p> </td><td> <p>1.517</p> </td><td> <p>.007</p> </td><td> <p>.346</p> </td><td> <p>.346</p> </td><td> <p>.470</p> </td></tr><tr><td> <p>Number of Dependent Members</p> </td><td> <p>5.063</p> </td><td> <p>-.062</p> </td><td> <p>.045</p> </td><td> <p>1.166</p> </td><td> <p>-.773</p> </td><td> <p>.032</p> </td></tr><tr><td rowspan="2"> <p>Earning members</p> <p>Less than 2</p> <p>More than 2</p> </td><td> <p>3.92</p> </td><td> <p>.04</p> </td><td> <p>.22</p> </td><td> <p>.03</p> </td><td> <p>3.5</p> </td><td> <p>.13</p> </td></tr><tr><td> <p>6.710</p> </td><td> <p>1.904</p> </td><td> <p>.05</p> </td><td> <p>4.796</p> </td><td> <p>1.568</p> </td><td> <p>.005</p> </td></tr><tr><td> <p>Movement within country</p> </td><td> <p>12.174</p> </td><td> <p>4.279</p> </td><td> <p>.161</p> </td><td> <p>.14</p> </td><td> <p>1.921</p> </td><td> <p>.001</p> </td></tr><tr><td> <p>Assets</p> </td><td> <p>4.575</p> </td><td> <p>1.521</p> </td><td> <p>.053</p> </td><td> <p>3.62</p> </td><td> <p>1.287</p> </td><td> <p>.025</p> </td></tr><tr><td rowspan="3"> <p>Occupation Improvement</p> <p>Occupation transformation from
  unskilled to skilled,</p> <p>Occupation transformation from clerical to
  semi-professional</p> </td><td colspan="2">  </td><td colspan="3">  </td><td>  </td></tr><tr><td> <p>.853</p> </td><td> <p>.159</p> </td><td> <p>.834</p> </td><td> <p>1.366</p> </td><td> <p>.312</p> </td><td> <p>.630</p> </td></tr><tr><td> <p>27.405</p> </td><td> <p>2.002</p> </td><td> <p>.020</p> </td><td> <p>11.618</p> </td><td> <p>1.530</p> </td><td> <p>.024</p> </td></tr><tr><td> <p>Constant</p> </td><td colspan="2"> <p>-6.8(.04)</p> </td><td>  </td><td colspan="2"> <p>-1.6(.09)</p> </td><td>  </td></tr><tr><td> <p>Negelkerkey R square</p> </td><td colspan="2"> <p>.803</p> </td><td>  </td><td colspan="2"> <p>.75</p> </td><td>  </td></tr><tr><td> <p>Goodness of Fit Test (</p> <p>Hosmer-Lemeshow</p> </td><td colspan="2"> <p>4.56
  (.606evel of significance)</p> </td><td>  </td><td colspan="2"> <p>13.9(.18)level
  of significance</p> </td><td>  </td></tr></tbody></table></table-wrap><p><italic>Source:
Author’s Calculation</italic></p><p>The
analysis presented in Table 4 suggests that several factors contribute in
household upward mobility as their coefficients are statistically significant.
In Central Punjab, improvement of education of head of household and other
household members as well as occupation progression have positive relationship
with upward household transformation which means educated head of household and
other members are more likely to experience chances of upward transformation
because their education is working as a transmission which convert their skills
and knowledge in occupation progress and helps in raising their income level. Similar result about
the positive relationship between education improvement and upward
transformation are also found by (Miliband, 2003; Delorenzi <italic>et al. </italic>2005; Machin, 2004;
Blanden <italic>et al. </italic>2005).</p><p>Considering the education level of
other household members it has been observed that it is positively related to
transformation process and is also statistically significant. The probability
of upward transformation increases if household member (including children,
women and head of household) is educated by 14.5% in urban Central Punjab.
These results are consistent with the finding of on this ground, (Connor <italic>&amp;
Dewson, </italic>2001) and (Forsyth &amp; Furlong, 2003). But this relationship is
insignificant in rural Central Punjab where, education backwardness still
exists. After countersigning many international agreements on the right of
education, Pakistan has made effective progress in near past on the provision
of education especially in rural and remote areas but still more than 50%
school are without basic facility and the quality of education and education
system is still questionable (Qamar, 2014).</p>
</sec>
<sec id="sec-6">
  <title>Conclusion</title>
<p>Socio economic factors and their influence on intra- temporal mobility on the basis of literature and econometric techniques conclude that education plays a significant role in socioeconomic origins and destination years. In Central Punjab, the opportunities of education and occupations have served as a bridge to increase household income level and socio economic status. It can be concluded that in Central Punjab, household plunge themselves into the availability of opportunity of life chances. However, some factors reduce the significance of education and occupation progression together to address inequalities and lack of chances of socio economic transformation for working/struggling class. In order to improve the situation there is a need to have trickledown effect of labor market from ruler toward struggling and working strata.</p><p>The urban areas of Central Punjab provides better opportunities to the household which helps them to improve their socioeconomic status as compare to rural areas.  This calls for appropriate steps to improve the economic and social infrastructure of society in remote area of each part of Central Punjab. For addressing these issues concrete measures are needed that can satisfy the unmet needs of every individual of society. This mechanism demands to make sure that both public and private sectors provide equal service structure in labor market to the individuals according to their capabilities and knowledge. Moreover, government should initiate socio economic project focusing on the reduction of poverty and other issues related to household stratification gap.</p><p>The present study tries to analyze the relationship between socioeconomic stratification, intra temporal and intra generational mobility in three districts of Central Punjab. The study does not throw light on the distribution of long term income due to mobility and its impact on consumption pattern of the household. It is left on the future researchers to conduct research on the above mentioned aspect. This will help the policymakers to formulate and implement policies to reduce the extent of poverty and inequality in Central Punjab.  ?</p>
</sec>
<fig id="fig-2"><alt-text>Table A.1</alt-text><caption><title>Table A.1</title></caption><graphic xlink:href="https://gssrjournal.com/RXzD5LgkAd/Figure 2 .jpg"/></fig>
</body>
<back>
<fn-group content-type="conflict-of-interest">
  <title>Conflict of Interest</title>
  <fn fn-type="conflict">
<p>The authors declare that they have no conflicts of interest.</p>
  </fn>
</fn-group>
<fn-group content-type="ethics-statement">
  <title>Ethics Statement</title>
  <fn fn-type="ethics">
<p>This study did not require formal ethics approval.</p>
  </fn>
</fn-group>
<fn-group content-type="data-availability">
  <title>Data Availability</title>
  <fn fn-type="data-availability-statement">
<p>Data sharing is not applicable to this article.</p>
  </fn>
</fn-group>
<app-group>
  <app id="app-suppl">
    <title>Supplementary Materials</title>
<supplementary-material id="suppl-1" content-type="local-data">
  <label>Supplementary Material 1</label>
  <caption>
    <title>APPENDIX</title>
    <p>Table A. 1</p>
  </caption>
</supplementary-material>
<supplementary-material id="suppl-2" content-type="local-data">
  <label>Supplementary Material 2</label>
  <caption>
    <title>APPENDIX</title>
    <p>Table A. 2
 
 
 Assets and Living Status Profile
 
 
 Occupation categories  &amp; 
 Proprietors of Businesses or Operator Of Farm Land
 
 
 
 
 Natural
 walls = 1
 Rudimentary
 walls = 2
 Finished
 walls = 3
 
 
 Garage
 workers, bus boy, carpenter helper, garbage collector, gardener, office boy, messenger,
 waiters, parking attendant, agriculture laborer, etc. (Unskilled worker)
 
 
 
 
 Natural
 roofing = 1
 Rudimentary
 roofing = 2
 Finished
 roofing = 3
 
 
 Bus
 driver, barbers, assembles, conductors, dyers, attendants guards, file clerk,
 meat cutter, butchers, library attendant etc.
 
 
 
 
 No
 facility, Bush, Field = 0
 Pit
 latrine, balti, shared toilet = 1 
 Flush
 , Pour flush = 2
 
 
 Bookbinder,
 mobile accessories installer, meter leader, tailors, lineman, plumber’s
 electricians, blacksmith, shop owner, all type of sale workers. (Semi-
 skilled workers). Proprietors of Businesses or operator Of Farm Land valued
 at 1-2.5 million.
 
 
 
 
 Less
 than 20 % of total assets  (1)
 Between
 33-50% of total assets   (2)
 More
 than 50 % of total assets (3)
 
 
 Primary
 and Junior high school teachers, all types of junior clerk, Patwari,
 collectors, bill accountant and shop owners, etc. Proprietors of Businesses
 or operator Of Farm Land valued at 2.5 -5 million. Clerical/owner of small
 business.
 
 
 
 
 No
 land, house = 0
 Cost
 of land or house is between 2 to 5 million = 1
  Cost of land or house is more than 5 million
 = 2
 Cost
 of land or house is more than 10 million = 3
 
 
 High
 school teacher, farm managers, junior administrators, technicians, associate professionals, etc. Semiprofessional. Proprietors of Businesses or
 operator Of Farm Land valued  10
 million
 
 
 
 
 No
 Animal drought = 0 
 ?2 Animal drought = 1
 ?4 Animal drought = 2
 More
 than 4 Animal drought (rural area question only) = 3
 
 
 All
 regional level officers, university and college professor, doctors captain and
 lieutenant or equivalent. Proprietors of Businesses or operator Of Farm Land
 valued 20 million. Lesser professional /medium size business
 
 
 
 
 Note:
 the score of asset categories is defined separately in SES index due to region wise
 different questions (animal drought includes in rural region). Income and
 assets, both are interval variables in SES index.
 
 
 Chairman,
 president, and beaurocates, high army rank officers etc. Proprietors of
 Businesses or operator Of Farm Land valued at more than 20 million.  Executive/ Major Professional.
 
 
Table A. 3

 
 
 Weight
 of indicator
 
 
 Central
 Punjab urban
 
 
 Central
 Punjab  rural 
 
 
 
 
 PCA method
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Education
 
 
 0.17
 
 
 0.21
 
 
 0.23
 
 
 0.19
 
 
 0.19
 
 
 0.22
 
 
 
 
 Occupation
 
 
 0.19
 
 
 0.20
 
 
 0.29
 
 
 0.26
 
 
 0.28
 
 
 0.22
 
 
 
 
 Adjusted income
 
 
 0.20
 
 
 0.24
 
 
 0.20
 
 
 0.33
 
 
 0.31
 
 
 0.29
 
 
 
 
 Expenditure
 
 
 0.10
 
 
 0.16
 
 
 0.21
 
 
 0.15
 
 
 0.14
 
 
 0.19
 
 
 
 
 Assets
 
 
 0.15
 
 
 0.19
 
 
 0.16
 
 
 0.15
 
 
 0.16
 
 
 0.17
 
 
 
 
 KMO Test
 
 
 0.65
 
 
 0.65
 
 
 0.69
 
 
 0.69
 
 
 0.74
 
 
 0.68
 
 
 
 
 Bartlett’s test
 
 
 377.3
 (000)
 
 
 363.6
 (000)
 
 
 358.9
 (000)
 
 
 197.5
 (000)
 
 
 198.2
 (000)
 
 
 258.9
 (000)</p>
  </caption>
</supplementary-material>
<supplementary-material id="suppl-pdf" content-type="pdf" xlink:href="https://gssrjournal.com/pdf/gssr/RXzD5LgkAd.pdf">
  <label>PDF</label>
  <caption>
    <title>Full Text PDF</title>
  </caption>
</supplementary-material>
  </app>
</app-group>
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