Add wos sample results library

02-data/intermediate/wos_sample/4e504c424c051a5355e5488e9415f3f0-anjoy-priyanka/info.yaml

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+abstract: 'Periodic Labour Force Survey (PLFS) is the major source of data on
+
+  various labour force indicators in India at annual or quarterly basis
+
+  which is on the field since 2017-18. It has strategically reformed the
+
+  previous quinquennial Employment and Unemployment Survey of National
+
+  Statistical Office, India. Mobility pattern of workers, basically in
+
+  terms of commuting is one of the key information contained therein which
+
+  essentially entails the workplace characteristics of the workforce. In
+
+  this article PLFS 2017-18 and 2018-19 data is analysed which depicts
+
+  state-wise large disparities in the commuting behaviour of workers,
+
+  whereas most of the workers are out-commuting from rural areas. The
+
+  potential reason behind is the rapid pace of urbanization and associated
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+  improved transportation facilities as well as search for stable non-farm
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+  employment opportunities by the rural workforce. Further, the planning
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+  of urbanization or creation of employment opportunities at rural places
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+  in each state requires within-state regional or disaggregated level
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+  information of workplaces, spatial concentration of works and workers.
+
+  To pursue that, disaggregated level analysis of commuting pattern of
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+  workers is done using small area estimation approach. In particular,
+
+  this article describes hierarchical Bayes (HB) measurement error (ME)
+
+  small area model for binary variable of interest indicating whether
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+  individual in the workforce is commuting or not. The HBME model has been
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+  implemented to obtain district level rural commuters proportions in
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+  Uttar Pradesh state of India. This state specifically tops amongst the
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+  states in the number of rural commuters. A spatial map has been
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+  generated for visual inspection of disparity in commuting behaviour of
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+  workers, also such map is useful to the policy makers and administration
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+  for framing decentralized level plans or strategies eyeing stable
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+  mobility behaviour to persuade improvement in employment rate.'
+affiliation: 'Anjoy, P (Corresponding Author), Minist Stat \& Programme Implementat,
+  Natl Accounts Div, Khurshid Lal Bhawan, New Delhi 110001, Delhi, India.
+
+  Anjoy, Priyanka, Minist Stat \& Programme Implementat, Natl Accounts Div, Khurshid
+  Lal Bhawan, New Delhi 110001, Delhi, India.'
+author: Anjoy, Priyanka
+author-email: anjoypriyanka90@gmail.com
+author_list:
+- family: Anjoy
+  given: Priyanka
+da: '2023-09-28'
+doi: 10.1007/s40953-023-00338-x
+earlyaccessdate: FEB 2023
+eissn: 2364-1045
+files: []
+issn: 0971-1554
+journal: JOURNAL OF QUANTITATIVE ECONOMICS
+keywords: 'Commuting; Periodic Labour Force Survey; Small area estimation; Spatial
+
+  map'
+keywords-plus: PREDICTION; MIGRATION; COUNTS; INCOME
+language: English
+month: JUN
+number: '2'
+number-of-cited-references: '42'
+pages: 339-361
+papis_id: 458fbe419ce811a771c1c087b8ef7e13
+ref: Anjoy2023hierarchicalbayes
+times-cited: '0'
+title: Hierarchical Bayes Measurement Error Small Area Model for Estimation of Disaggregated
+  Level Workers Mobility Pattern in India
+type: Article
+unique-id: WOS:000932675000002
+usage-count-last-180-days: '1'
+usage-count-since-2013: '1'
+volume: '21'
+web-of-science-categories: Economics
+year: '2023'