A Multifaceted Analysis of the Canada Unemployment Rate under Time Series —— Based on Education Level

Taoyu Chen

doi:10.54254/2754-1169/53/20230854

Research Article

Open access

Published on 1 December 2023

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Chen,T. (2023). A Multifaceted Analysis of the Canada Unemployment Rate under Time Series —— Based on Education Level. Advances in Economics, Management and Political Sciences,53,279-287.

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A Multifaceted Analysis of the Canada Unemployment Rate under Time Series —— Based on Education Level

Taoyu Chen *^,1,

¹ University of Toronto

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/53/20230854

Abstract

Unemployment rate is an important indicator to measure the operation of market economy and social and economic development, which will fluctuate due to the impact of the crisis, so it is one of the goals of macroeconomic regulation and control of governments. Unemployment has a variety of personal, social and economic consequences. Since the beginning of 2020, the economic state and job market of Canada and even the whole world have been severely impacted by the impact of COVID-19. This paper will forecast and analyze the trend of Canadian unemployment rate in the next ten years by using ARIMA model based on the data of the World Bank, and compare the trend of Canadian unemployment rate among people with different education levels. The ARIMA model is also used to analyze and forecast trends over the next ten years, providing some reference for the development direction of stakeholders in the labor market.

Keywords

unemployment rate, COVID-19, ARIMA model, time series, forecast

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References

[1]. Kreishan, Fuad M. "Economic growth and unemployment: An empirical analysis." Journal of social sciences 7.2 (2011): 228-231.

[2]. Pohlan, Laura. "Unemployment and social exclusion." Journal of Economic Behavior & Organization 164 (2019): 273-299.

[3]. Saunders, Peter. "The direct and indirect effects of unemployment on poverty and inequality." Australian Journal of Labour Economics 5.4 (2002): 507-529.

[4]. “Youth Unemployment: A Global Crisis.” Mercy Corps, 2 Mar. 2022, www.mercycorps.org/blog/youth-unemployment-global-crisis.

[5]. Shrestha, Nistha, et al. “The impact of covid-19 on Globalization.” One Health, vol. 11, 2020, p. 100180, https://doi.org/10.1016/j.onehlt.2020.100180.

[6]. Press, The Canadian. “Canada’s Unemployment Rate Reaches Record 13.7% - National.” Global News, 6 June 2020, globalnews.ca/news/7029601/canada-may-unemployment-rate/.

[7]. Layard, Richard, Stephen J. Nickell, and Richard Jackman. Unemployment: macroeconomic performance and the labour market. Oxford University Press, USA, 2005.

[8]. Government of Canada, Statistics Canada. “Labour Force Survey, January 2022.” The Daily - , 4 Feb. 2022, www150.statcan.gc.ca/n1/daily-quotidien/220204/dq220204a-eng.htm.

[9]. Blustein, David L., et al. “Unemployment in the Time of COVID-19: A Research Agenda.” Journal of Vocational Behavior, vol. 119, 2020, p. 103436.

[10]. Janko, Zuzana. "Unemployment and labor force participation in Canada." Applied Economics Letters 30.12 (2023): 1647-1651.

[11]. Janko, Zuzana, and Gurleen Popli. “Examining the Link between Crime and Unemployment: A Time-Series Analysis for Canada.” Applied Economics, vol. 47, no. 37, 2015, pp. 4007–4019.

[12]. Popirlan, Claudiu Ionut, et al. “Predicting the Unemployment Rate and Energy Poverty Levels in Selected European Union Countries Using an Arima-ARNN Model.” PeerJ Computer Science, vol. 9, 2023, https://doi.org/10.7717/peerj-cs.1464.

Cite this article

Chen,T. (2023). A Multifaceted Analysis of the Canada Unemployment Rate under Time Series —— Based on Education Level. Advances in Economics, Management and Political Sciences,53,279-287.

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About volume

Volume title: Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Conference website: https://www.icftba.org/

ISBN：978-1-83558-153-7(Print) / 978-1-83558-154-4(Online)

Conference date: 8 November 2023

Editor：Javier Cifuentes-Faura

Series: Advances in Economics, Management and Political Sciences

Volume number: Vol.53

ISSN：2754-1169(Print) / 2754-1177(Online)

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