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| 02042cam 2200313za 4500 |
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| 001 | 9.853511 |
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| 003 | CaOODSP |
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| 005 | 20221107154837 |
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| 007 | cr ||||||||||| |
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| 008 | 180313s2018 oncbd ob f000 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 041 | |aeng|bfre |
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| 043 | |aa-cc--- |
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| 086 | 1 |aFB3-5/2018-12E-PDF |
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| 245 | 00|aCan media and text analytics provide insights into labour market conditions in China? |h[electronic resource] / |cby Jeannine Bailliu … [et al.]. |
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| 260 | |a[Ottawa] : |bBank of Canada, |c2018. |
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| 300 | |aii, 40 p. : |bcharts (mostly col.), col. map. |
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| 490 | 1 |aBank of Canada staff working paper, |x1701-9397 ; |v2018-12 |
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| 500 | |a"March 2018." |
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| 504 | |aIncludes bibliographical references (p. 19-21). |
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| 520 | |a“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. |
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| 546 | |aIncludes abstract in French. |
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| 692 | 07|2gccst|aLabour market |
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| 692 | 07|2gccst|aStatistical analysis |
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| 692 | 07|2gccst|aNewspapers |
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| 700 | 1 |aBailliu, Jeannine N. |
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| 710 | 2 |aBank of Canada. |
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| 830 | #0|aStaff working paper (Bank of Canada)|x1701-9397 ; |v2018-12.|w(CaOODSP)9.806221 |
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| 856 | 40|qPDF|s1.61 MB|uhttps://publications.gc.ca/collections/collection_2018/banque-bank-canada/FB3-5-2018-12-eng.pdf |
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