Unemployment fluctuations in urban labour market in India (Record no. 523609)

000 -LEADER
fixed length control field 01971nam a22001577a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Singh, Jitender
245 ## - TITLE STATEMENT
Title Unemployment fluctuations in urban labour market in India
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc The Indian Journal of Labour Economic
300 ## - PHYSICAL DESCRIPTION
Extent 66(1), Jan-Mar, 2023: p.81.111
520 ## - SUMMARY, ETC.
Summary, etc Fluctuations in unemployment rate have been widely studied in developed countries. Lack of panel data, however, limited the scope of such studies in India until quarterly periodic labour force surveys (PLFS) were published in 2019. Here we use the novel quarterly PLFS of urban sector in India to study the gross flows using three states of labour market. We found most of the fluctuations in unemployment rates originates within the labour force. In upturn, employment margin contributes about 80% of the decline in unemployment, while in downturn it contributes about 98% of the rise in unemployment. Flows from employment to unemployment have stronger association with the fluctuations in unemployment rate than the flows from unemployment to employment. Higher female unemployment rates are mainly because of their lower chances to find job and higher chances to stay as unemployed. Contrary to widely held view, we found females are more likely to participate than males. Their higher probability to drop out of labour force and lower chances to find a job hold their labour force participation rate low. Youth face higher chances to lose jobs and their longer stay as unemployed than mature hold their unemployment rates higher. Difficulty in finding a job, higher chances of job loss, along with longer stay as unemployed keep unemployment rate higher among the better educated. – Reproduced
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Job separation, Job finding, Gross flows, Unemployment rate, Rotational panel data, Attrition bias.
9 (RLIN) 40551
773 ## - HOST ITEM ENTRY
Main entry heading The Indian Journal of Labour Economic
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
Subject DIP EMPLOYMENT
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2023-09-14 66(1), Jan-Mar, 2023: p.81.111 AR129514 2023-09-14 Articles

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