{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/5892"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/5892","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Analysis of the projected parity progression ratio method using two successive censuses","abstract":"The objective of this study is to assess how well the projected parity progression ratio method works when applied to two successive censuses or Demographic Health Surveys. Four countries, namely Malawi, Zimbabwe, Cambodia and Panama, each with two recent censuses which are ten years apart, are used. Each of the census and survey used is taken through a data quality assessment process to check for inconsistencies. Using age-order specific fertility rates derived from births in the past year, parity progression ratios are projected to the next census.","abstract_html":"The objective of this study is to assess how well the projected parity progression ratio method works when applied to two successive censuses or Demographic Health Surveys. Four countries, namely Malawi, Zimbabwe, Cambodia and Panama, each with two recent censuses which are ten years apart, are used. Each of the census and survey used is taken through a data quality assessment process to check for inconsistencies. Using age-order specific fertility rates derived from births in the past year, parity progression ratios are projected to the next census.","abstract_has_math":false,"creators":["Mutakwa, Darlington"],"institution":"Centre for Actuarial Research (CARE)","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Moultrie, Tom"],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013","date_published":"2013","updated_at":"2026-07-22T22:22:43Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/5892","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Moultrie, Tom"]},{"key":"dc:creator","label":"Author","values":["Mutakwa, Darlington"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-07-31T12:39:38Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-07-31T12:39:38Z"]},{"key":"dc:date.issued","label":"Date","values":["2013"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Centre for Actuarial Research (CARE)"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MPhil"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/5892"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Includes abstract.","Includes bibliographical references."]},{"key":"dc:description.abstract","label":"Abstract","values":["The objective of this study is to assess how well the projected parity progression ratio method works when applied to two successive censuses or Demographic Health Surveys. Four countries, namely Malawi, Zimbabwe, Cambodia and Panama, each with two recent censuses which are ten years apart, are used. Each of the census and survey used is taken through a data quality assessment process to check for inconsistencies. Using age-order specific fertility rates derived from births in the past year, parity progression ratios are projected to the next census."]},{"key":"dc:title","label":"Title","values":["Analysis of the projected parity progression ratio method using two successive censuses"]}]}],"canonical_facts":{"dc:contributor.advisor":["Moultrie, Tom"],"dc:creator":["Mutakwa, Darlington"],"dc:date.accessioned":["2014-07-31T12:39:38Z"],"dc:date.available":["2014-07-31T12:39:38Z"],"dc:date.issued":["2013"],"dc:description":["Includes abstract.","Includes bibliographical references."],"dc:description.abstract":["The objective of this study is to assess how well the projected parity progression ratio method works when applied to two successive censuses or Demographic Health Surveys. Four countries, namely Malawi, Zimbabwe, Cambodia and Panama, each with two recent censuses which are ten years apart, are used. Each of the census and survey used is taken through a data quality assessment process to check for inconsistencies. Using age-order specific fertility rates derived from births in the past year, parity progression ratios are projected to the next census."],"dc:identifier.uri":["http://hdl.handle.net/11427/5892"],"dc:language.iso":["eng"],"dc:publisher.department":["Centre for Actuarial Research (CARE)"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["Analysis of the projected parity progression ratio method using two successive censuses"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MPhil"]},"updated_at":"2026-07-22T22:22:43Z"}