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

  improved transportation facilities as well as search for stable non-farm

  employment opportunities by the rural workforce. Further, the planning

  of urbanization or creation of employment opportunities at rural places

  in each state requires within-state regional or disaggregated level

  information of workplaces, spatial concentration of works and workers.

  To pursue that, disaggregated level analysis of commuting pattern of

  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

  individual in the workforce is commuting or not. The HBME model has been

  implemented to obtain district level rural commuters proportions in

  Uttar Pradesh state of India. This state specifically tops amongst the

  states in the number of rural commuters. A spatial map has been

  generated for visual inspection of disparity in commuting behaviour of

  workers, also such map is useful to the policy makers and administration

  for framing decentralized level plans or strategies eyeing stable

  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'