Reemployment during the Covid-19 pandemic in Indonesia: What kinds of skill sets are needed?

References

• Adams-Prassl, A., Boneva, T., Golin, M., & Rauh, C. (2020). Inequality in the impact of coronavirus shock: Evidence from real time surveys. Journal of Public Economics, 189, 104245. https://doi.org/10.1016/j.jpubeco.2020.104245
   Web of Science ®Google Scholar
• Athanasou, J. A. (2012). Adult language, literacy, numeracy, and problem-solving skills in the workplace. Australian Journal of Adult Learning, 52(1), 173–31.
   Web of Science ®Google Scholar
• Bascle, G. (2008). Controlling for endogeneity with instrumental variables in strategic management research. Strategic Organization, 6(3), 285–327. https://doi.org/10.1177/1476127008094339
   Web of Science ®Google Scholar
• Beaman, L. A. Social networks and the dynamics of labour market outcomes: Evidence from refugees resettled in the U.S. (2012). The Review of Economic Studies, 79(1), 128–161. 128(161). https://doi.org/10.1093/restud/rdr017
   Web of Science ®Google Scholar
• Belotti, L., Zaniboni, S., Balducci, C., & Grote, G. (2021). Rapid review on COVID-19, work-related aspects, and age differences. International Journal of Environmental Research and Public Health, 8(19), 5166. https://doi.org/10.3390/ijerph18105166
   Google Scholar
• Boase, J. (2010). The consequences of personal networks for internet use in rural areas. The American Behavioral Scientist, 53(9), 1257–1267. https://doi.org/10.1177/0002764210361681
   Web of Science ®Google Scholar
• Carnevale, A. P., Jayasundera, T., & Gulish, A. (2016). America’s divided recovery: College haves and have-nots. Center on Education and the Workforce, Georgetown University.
   Google Scholar
• Clark, A., Georgellis, Y., & Sanfey, P. (2001). Scarring: The psychological impact of past unemployment. Economica, 68(270), 221–241. https://doi.org/10.1111/1468-0335.00243
   Web of Science ®Google Scholar
• Cockx, B. (2000). The design of active labour market policies: Building in effective incentives. International Labour Review, 139(4), 139 4. https://doi.org/10.1111/j.1564-913X.2000.tb00528.x
   Web of Science ®Google Scholar
• Coibion, O., Gorodnichenko, Y., & Weber, M. (2020), “Labor markets during the Covid-19 crisis: A preliminary view”, NBER Working Paper No. 27017, National Bureau of Economic Research
   Google Scholar
• Cruces, G., Ham, A., & Viollaz, M. (2012). Scarring effects of youth unemployment and informality: Evidence from Brazil. Centre for Distributive, Labor and Social. http://www.iza.org/conference_files/worldb2012/viollaz_m8017.pdf
   Google Scholar
• Dartanto, T., Yuan, E. Z. W., & Sofiyandi, Y. (2018). Structural Transformation and the Dynamics of Income Equality in Indonesia; 1996-2014. In P., Saumik (Ed.), Structural Transformation and Income Inequality in the Era of Globalization in Asia (pp. 171–199). Asian Development Bank Institute.
   Google Scholar
• Deming, D. J. (2017). The growing importance of social skills in the labor market. Quarterly Journal of Economics, 132(4), 1593–1640. https://doi.org/10.1093/qje/qjx022
   Web of Science ®Google Scholar
• Dingel, J., & Neiman, B. (2020). How many jobs can be done at home? Journal of Public Economics, 189, 104235. https://doi.org/10.1016/j.jpubeco.2020.104235
   PubMed Web of Science ®Google Scholar
• Elsby, M. W. L., Smith, J. C., & Wadsworth, J. (2011). The role of worker flows in the dynamics and distribution of UK unemployment. Oxford Review of Economic Policy, 27(2), 338–363. https://doi.org/10.1093/oxrep/grr014
   Web of Science ®Google Scholar
• Espinoza, R., & Reznikova, L. (2020), “Who can log in? The importance of skills for the feasibility of teleworking arrangements across OECD countries”, OECD Social,Employment and Migration Working Papers, No. 242, OECD Publishing, https://doi.org/10.1787/3f115a10-en.
   Google Scholar
• Eyster, L., Anderson, T., & Durham, C. (2013). Innovations and Future Directions for Workforce Development in the Post-Recession Era. 20. http://www.urban.org/
   Google Scholar
• Forster, A. G., Bol, T., & van de Werfhorst, H. G. (2016). Vocational education and employment over the life cycle. Sociological Science, 3, 473–494. https://doi.org/10.15195/v3.a21
   Web of Science ®Google Scholar
• Funke, J. (2010). Complex problem-solving: A case for complex cognition? Cognitive Processing, 11(2), 133–142. https://doi.org/10.1007/s10339-009-0345-0
   PubMed Web of Science ®Google Scholar
• Giles, J., Park, A., & Cai, F. (2006). Reemployment of dislocated workers in urban China: The roles of information and incentives. Journal of Comparative Economics, 34(3), 582–607. https://doi.org/10.1016/j.jce.2006.06.006
   Web of Science ®Google Scholar
• Ginting, E., Manning, C., & Taniguchi, K. (Eds.). (2018). Indonesia: Enhancing productivity through quality jobs. Asian Development Bank.
   Google Scholar
• Gonzalez, C., Vanyukov, P., & Martin, M. K. (2005). The use of microworlds to study dynamic decision making. Computers in Human Behavior, 21(2), 273–286. https://doi.org/10.1016/j.chb.2004.02.014
   Web of Science ®Google Scholar
• Greiff, S., Holt, D. V., & Funke, J. (2013). Perspectives on problem-solving in educational assessment: Analytical, interactive, and collaborative problem-solving. Journal of Problem-Solving, 5(2), 71–91. https://doi.org/10.7771/1932-6246.1153
   Google Scholar
• Grossman, M. (2005). Education and nonmarket outcomes: NBER Working Paper,11582
   Google Scholar
• Hanushek, E. A., & Woessmann, L. (2008). The role of cognitive skills in economic development. Journal of Economic Literature, 46(3), 607–768. https://doi.org/10.1257/jel.46.3.607
   Web of Science ®Google Scholar
• Heckman, J. J. Shadow prices, market wages, and labor supply. (1974). Econometrica, 42(4), 679–694. JSTOR 1913937. https://doi.org/10.2307/1913937
   Web of Science ®Google Scholar
• Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica, 47(1), 153–161. https://doi.org/10.2307/1912352
   Web of Science ®Google Scholar
• Heckman, J. J., Stixrud, J., & Urzua, S. (2006). The effects of cognitive and non-cognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics, 24(3), 411–482. https://doi.org/10.1086/504455
   Web of Science ®Google Scholar
• Holm, A., & Jaeger, M. M. (2011). Dealing with selection bias in education transition model: The Bivariate probit selection model. Research in Social Stratification and Mobility, 29(3), 311–322. https://doi.org/10.1016/j.rssm.2011.02.002
   Web of Science ®Google Scholar
• Hulshof, I. L., Demerouti, E., & Le Blanc, P. M. (2020). Reemployment crafting: Proactively shaping one’s job search. Journal of Applied Psychology, 105(1), 58–79. https://doi.org/10.1037/apl0000419
   PubMed Web of Science ®Google Scholar
• ILO. (2020). The impact of the COVID-19 pandemic on jobs and incomes in G20 economies. 2020.
   Google Scholar
• ILO-OECD. (2020). Social Dialogue, Skills and Covid-19. 202.
   Google Scholar
• Isengard, B. (2003). Youth unemployment: Individual risk factors and institutional determinants. A case study of Germany and the United Kingdom. Journal of Youth Studies, 6(4), 357–376. https://doi.org/10.1080/1367626032000162096
   Google Scholar
• Isfahani, S. D., Taghvatalab, S., & Tech, V. (2021). Rural electrification and empowerment of women in rural Iran sustainable development goals and external shocks in the mena region: From resilience to change in the wake of Covid-19. 1–31.
   Google Scholar
• Keane, M. P., & Neal, Timothy 2022 a Practical Guide to Weak Instruments. UNSW Economics Working Paper No. 2021-05d https://doi.org/10.2139/ssrn.3846841
   Google Scholar
• Khurniawan, A. W., & Erda, G. (2019). Potret Tenaga Kerja Lulusan SMK Pada Industri Manufaktur. Vocational Education Policy White Paper, 1(8), 1–23.
   Google Scholar
• Lane, M., & Conlon, G. (2016). The impact of literacy, numeracy and computer skills on earnings and employment outcomes. OECD Education Working Papers, No. 129, OECD Publishing.
   Google Scholar
• La Porta, R., & Shleifer, A. (2014). Informality and development. Journal of Economic Perspectives, 28(3), 109–126. https://doi.org/10.1257/jep.28.3.109
   Web of Science ®Google Scholar
• Lonnides, Y., & Datcher-Loury, L. (2004). Job information networks, neighborhood effects, and inequality. Journal of Economic Literature, 42(4), 1056–1093. https://doi.org/10.1257/0022051043004595
   Web of Science ®Google Scholar
• Manning, C., & Pratomo, D. (2018). Labour market developments in the jokowi years. Journal of Southeast Asian Economies, 35(2), 165–184. https://doi.org/10.1355/ae35-2d
   Web of Science ®Google Scholar
• McArdle, S., Waters, L., Briscoe, J. P., & Hall, D. T. T. (2007). Employability during unemployment: Adaptability, career identity and human and social capital. Journal of Vocational Behavior, 71(2), 247–264. https://doi.org/10.1016/j.jvb.2007.06.003
   Web of Science ®Google Scholar
• Miftahudin, H. (2021). Pandemic impact, manufacture industries terminate 1.8 million workers. Medcom.id. Retrieved from https://www.medcom.id/ekonomi/bisnis/0KvMZVRk-imbas-pandemi-industri-manufaktur-phk-1-8-juta-pekerja.
   Google Scholar
• Misra, P., & Gupta, J. (2021). Impact of COVID-19 on Indian migrant workers: Decoding Twitter data by text mining. The Indian Journal of Labour Economics, 64(3), 731–747. https://doi.org/10.1007/s41027-021-00324-y
   Google Scholar
• Montgomery, J. D. (1991). Social networks and labor-market outcomes: Toward an economic analysis. The American Economic Review, 81(5), 1407–1418.
   Web of Science ®Google Scholar
• Mueller, J. T. (2020). Defining Dependence: The natural resource community typology. Rural Sociology. https://doi.org/10.1111/ruso.12357
   Web of Science ®Google Scholar
• OECD. (2002). The ins and outs of long-term unemployment. OECD Employment Outlook, 2002, 187–243. https://doi.org/10.1787/empl_outlook-2002-6-en
   Google Scholar
• OECD. (2013a). OECD skills outlook 2013: First results from the survey of adult skills. OECD Publishing.
   Google Scholar
• OECD. (2013b). PISA 2012 assessment and analytical framework. OECD Publishing.
   Google Scholar
• OECD. (2021). An assessment of the impact of COVID-19 on job and skills demand using online job vacancy data. OECD, (April), 1–19. https://www.oecd.org/coronavirus/policy-responses/an-assessment-of-the-impact-of-covid-19-on-job-and-skills-demand-using-online-job-vacancy-data-20fff09e/
   Google Scholar
• OECD/ADB. (2020). Employment and skills strategies in Indonesia. In OECD reviews on local job creation. OECD Publishing. https://doi.org/10.1787/dc9f0c7c-en
   Google Scholar
• Pierson, O. (2009). Highly effective networking. Career Press.
   Google Scholar
• Pritadrajati, D. S., Kusuma, A. C. M., & Saxena, S. C. (2021). Scarred for life: Lasting consequences of unemployment and informal self-employment: Empirical evidence from Indonesia. Economic Analysis & Policy, 70(2), 206–219. https://doi.org/10.1016/j.eap.2021.02.009
   Google Scholar
• Saks, A. M. (2006). Multiple predictors and criteria of job search success. Journal of Vocational Behavior, 68(3), 400–415. https://doi.org/10.1016/j.jvb.2005.10.001
   Web of Science ®Google Scholar
• Shah, M., & Steinber, B. M. (2017). Drought of opportunities: Contemporaneous and long-term impacts of rainfall shocks on human capital. Journal of Political Economy, 125(2), 527–561. https://doi.org/10.1086/690828
   Web of Science ®Google Scholar
• Shkalenko, A., & Fadeeva, E. (2020), “Analysis of the impact of digitalization on the development of foreign economic activity during COVID-19 pandemic”, in 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020), Atlantis Press, Paris, pp. 1190–1195
   Google Scholar
• Singh, M. (1998). Curricular implications of competency requirement and utilization among small producers in New Delhi. In L. Buchert (Ed.), Education reform in the South in the 1990s (pp. 245–267). UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000114248?posInSet=1&queryId=00b0794c-7370-48f3-836a-cb6b27ece360
   Google Scholar
• Sostero, M., Milasi, S., Hurley, J., Fernandez-Macias, E., & Bisello, M. (2020). Teleworkability and the COVID-19 crisis: A new digital divide?. European Commission. 2020, JRC121193.
   Google Scholar
• Sparrow, R., Dartanto, T., & Hartwig, R. (2020). Indonesia under the new normal: Challenges and the way ahead. Bulletin of Indonesian Economic Studies, 56(3), 269–299. https://doi.org/10.1080/00074918.2020.1854079
   Web of Science ®Google Scholar
• Statistics Indonesia. (2020). Berita Resmi Statistik 5 November. 2020. BPS. https://www.bps.go.id/pressrelease/2020/11/05/1673/-revisi-per-18-02-2021–agustus-2020–tingkat-pengangguran-terbuka–tpt–sebesar-7-07-persen.html
   Google Scholar
• Statistics Indonesia. (2021). Berita Resmi Statistik 5 November. 2021. BPS. https://www.bps.go.id/pressrelease/2021/11/05/1816/-revisi-per-09-11-2021–agustus-2021–tingkat-pengangguran-terbuka–tpt–sebesar-6-49-persen.html
   Google Scholar
• Statistics Indonesia. (2022). Laporan Badan Pusat Statistik. BPS. https://www.bps.go.id/subject/11/produk-domestik-bruto–lapangan-usaha-.html#subjekViewTab3
   Google Scholar
• Stock, J. H., & Yogo, M. (2005). Testing for weak instruments in linear IV regression. In A. W. K., Donald, & S. H., James (Eds.), Identification and inference for econometric models (pp. 80–108). Cambridge University Press.
   Google Scholar
• Suryahadi, A., Marshan, J., & Indrio, V. T. (2018). Structural transformation and the release of labor from agriculture. In E. Ginting, C. Manning, & K. Taniguchi (Eds.), Indonesia: Enhancing productivity through quality jobs. Asian development bank (pp. 100–129). Asian Development Bank.
   Google Scholar
• Van Hoye, G., van Hooft, E. A. J., & Lievens, F. (2009). Networking as a job search behaviour: A social network perspective. Journal of Occupational & Organizational Psychology, 82(3), 661–682. https://doi.org/10.1348/096317908X360675
   Web of Science ®Google Scholar
• Van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2017). The relation between 21st-century skills and digital skills: A systematic literature review. Computers in Human Behavior, 72, 577–588. https://doi.org/10.1016/j.chb.2017.03.010
   Web of Science ®Google Scholar
• Voogt, J., & Roblin, N. P. (2012). A comparative analysis of international frameworks for 21st century competences: Implications for national curriculum policies. Journal of Curriculum Studies, 44(3), 299–321. https://doi.org/10.1080/00220272.2012.668938
   Web of Science ®Google Scholar
• Vukmirović, V., Domazet, I., & Pavlović, D. (2021). Development of 21ST century skills as a response to youth unemployment. International Scientific Conference Strategic Management and Decision Support Systems in Strategic Management, 80–87. https://doi.org/10.46541/978-86-7233-397-8_117
   Google Scholar
• Wanberg, C. R., Hough, L. M., & Song, Z. (2002). Predictive validity of a multidisciplinary model of reemployment success. Journal of Applied Psychology, 87(6), 1100–1120. https://doi.org/10.1037/0021-9010.87.6.1100
   PubMed Web of Science ®Google Scholar
• Wanberg, C. R., Kanfer, R., & Banas, J. T. (2000). Predictors and outcomes of networking intensity among unemployed job seekers. Journal of Applied Psychology, 85(4), 491–503. https://doi.org/10.1037/0021-9010.85.4.491
   PubMed Web of Science ®Google Scholar
• Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126(1), 25–51. https://doi.org/10.1016/j.jeconom.2004.02.005
   Web of Science ®Google Scholar
• Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.
   Google Scholar
• Zarska, V. (2020). The importance of education and the threat of unemployment in the condition. Socialno-Ekonomicka Revue, 03, 43–51. https://fsev.tnuni.sk/revue/papers/288.pdf
   Google Scholar