00000nam 2200000za 4500 9.853511 CaOODSP 20221107154837 cr ||||||||||| 180313s2018 oncbd ob f000 0 eng d CaOODSP eng eng fre a-cc--- FB3-5/2018-12E-PDF Can media and text analytics provide insights into labour market conditions in China? [electronic resource] / by Jeannine Bailliu … [et al.]. [Ottawa] : Bank of Canada, 2018. ii, 40 p. : charts (mostly col.), col. map. Bank of Canada staff working paper, 1701-9397 ; 2018-12 "March 2018." Includes bibliographical references (p. 19-21). “Although issues have been raised with respect to many of China's official statistics, those pertaining to the labour market have been seen as particularly problematic. A reliable and regularly released labour market indicator can offer insights into an economy’s cyclical position, supporting macroeconomic analysis and policy-making. Moreover, such an indicator is essential for the design of appropriate labour market policies. In this paper, we utilize machine learning techniques, specifically text analytics, to construct a labour market conditions index (LMCI) for China by extracting labour market information from mainland Chinese-language newspapers over the period 2003 to 2017. The results suggest that text analytics can be used to extract useful labour market information from Chinese newspapers"--Non-technical summary. Includes abstract in French. gccst Labour market gccst Statistical analysis gccst Newspapers Bailliu, Jeannine N. Bank of Canada. Staff working paper (Bank of Canada) 1701-9397 ; 2018-12. (CaOODSP)9.806221 PDF 1.61 MB https://publications.gc.ca/collections/collection_2018/banque-bank-canada/FB3-5-2018-12-eng.pdf