Academic literature on the topic 'Job Matching'
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Journal articles on the topic "Job Matching"
Holzer, Harry J. "Job-Matching." Brookings Review 14, no. 1 (1996): 2. http://dx.doi.org/10.2307/20080609.
Full textHall, Robert E., and Sam Schulhofer-Wohl. "Measuring Job-Finding Rates and Matching Efficiency with Heterogeneous Job-Seekers." American Economic Journal: Macroeconomics 10, no. 1 (January 1, 2018): 1–32. http://dx.doi.org/10.1257/mac.20170061.
Full textHaeringer, Guillaume, and Myrna Wooders. "Decentralized job matching." International Journal of Game Theory 40, no. 1 (January 13, 2010): 1–28. http://dx.doi.org/10.1007/s00182-009-0218-x.
Full textFujita, Shigeru, and Garey Ramey. "Job matching and propagation." Journal of Economic Dynamics and Control 31, no. 11 (November 2007): 3671–98. http://dx.doi.org/10.1016/j.jedc.2006.12.008.
Full textKojima, Fuhito, Ning Sun, and Ning Neil Yu. "Job Matching under Constraints." American Economic Review 110, no. 9 (September 1, 2020): 2935–47. http://dx.doi.org/10.1257/aer.20190780.
Full textBarron, John M., Dan A. Black, and Mark A. Loewenstein. "Job Matching and On-the-Job Training." Journal of Labor Economics 7, no. 1 (January 1989): 1–19. http://dx.doi.org/10.1086/298196.
Full textChala, Sisay Adugna, Fazel Ansari, Madjid Fathi, and Kea Tijdens. "Semantic matching of job seeker to vacancy: a bidirectional approach." International Journal of Manpower 39, no. 8 (November 5, 2018): 1047–63. http://dx.doi.org/10.1108/ijm-10-2018-0331.
Full textBrown, Alessio, Christian Merkl, and Dennis Snower. "AN INCENTIVE THEORY OF MATCHING." Macroeconomic Dynamics 19, no. 3 (October 23, 2013): 643–68. http://dx.doi.org/10.1017/s1365100513000527.
Full textZenou, Yves. "Endogenous job destruction and job matching in cities." Journal of Urban Economics 65, no. 3 (May 2009): 323–36. http://dx.doi.org/10.1016/j.jue.2009.02.002.
Full textSong, Kyungho, Hyun Kim, Jisoo Cha, and Taedong Lee. "Matching and Mismatching of Green Jobs: A Big Data Analysis of Job Recruiting and Searching." Sustainability 13, no. 7 (April 6, 2021): 4074. http://dx.doi.org/10.3390/su13074074.
Full textDissertations / Theses on the topic "Job Matching"
Corrêa, Márcio. "Essays on job-matching theory." Doctoral thesis, Instituto Superior de Economia e Gestão, 2007. http://hdl.handle.net/10400.5/8763.
Full textO objectivo principal da Job Matching Theiry é o de explicar os efeitos dos custos de mobilidade sobre o equilíbrio no mercado de trabalho. A ideia por trás deste tipo de modelo é a de que antes do início da actividade produtiva, tanto as firmas como os trabalhadores têm que despender tempo e recursos de forma a encontrar seu parceiro de produção.Nesta dissertação, nosso objectivo é o desenvolver t`rês artigos, todos desenvolvidos no mesmo ambiente, com o intuito de responder três questões distintas. No primeiro capítulo - Job Matching, Technological Progress. and Worker-Provided on-the job Training - nosso objectivo é o de estudar os efeitos do investimento em treinamento pagos pelo trabalhador empregado sobre o mercado de trabalho caracterizado por dois tipos distintos de progresso tecnólógico: destruição criativa e renovação. No segundo capítulo - Technological Progress and Average Job Matching Quality - nosso objectivo é o de estudar, também em um cenário caracterizado por search frictions, os efeitos da taxa de progresso tecnológico: destruição criativa e renovação. No segundo capítulo - Tecnhonological Progress and Average Job Matching Quality - nooso objectivo é o de estudar, tanbém em um cenário caracterizado por search frictions, os efeitos da taxa de progresso tecnológico sobre a qualidade média das parcerias proodutivas. No terceiro e último capítulo - Job Matching, Unexpected Obligations and Retirement Decisions - nosso objectivo é o de investigar os efeitos de variações não antecipadas no nível das obrigações dos trabalhadores sobre a sua regra óptima de entrada na reforma.
The main objective of the Job Matching Theory is to explain the effects of mobility costs over the labor market equilibrium. The basic idea behind these models is that before the production begins, firms and workers have to spend resources in order to find their production partner. In this dissertation, our main objective is to develop three essays, all carried out in the same environment - that of Job Matching Theory - with the aim of answering three distinct questions. In the first chapter - Job Matching Technological Progress, and Worker-Provided On-the-job Training - the objective is to study the effects of the worker-provided on-the-job training investments on a labor market characterized by technological progress of the creative destruction type and the renovative type. In the second chapter of the dissertation - Technological Progress and Average Job Matching Quality - our objective is to study, also a labor market characterized by search frictions, the effects of technological progress on the average quality of the job matches. In the third and final chapter of the thesis - Job Matching, Unexpected Obligations and Retirement Decisions - our objective is to investigate the effects of unexpected changes in the worker's obligations on the decision to retire.
Persch, Andrew Charles. "The Model of Systematic Job Matching." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1405612722.
Full textRama, Apoorva. "Essays on Higher Education and Job Matching." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574248733672506.
Full textHall, Julie. "Correspondence of Job-Preference and Job-Matching Assessment with Job Performance and Satisfaction among Youth with Developmental Disabilities." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/771.
Full textThun, Anton. "Matching Job Applicants to Free Text Job Ads Using Semantic Networks and Natural Language Inference." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281250.
Full textAutomatiserade e-rekryteringssystem har varit ett forskningsfokus det senaste årtioendet på grund av hur mycket arbete som krävs för att sålla passande jobbsökande till en jobbpost, vars CV och jobbannons vanligen skickas som fritext. Medan rekryteringsorganisationer har data omfattande sökandes CV:n och jobbannonsbeskrivningar, är CV:n oftast konfidentiella, vilket begränsar direktanvändande av djupinlärningsmetoder. Detta leder till ett problem där traditionella data-agnostiska metoder har större potential att uppnå bra resultat i att bestämma hur lämplig en jobbsökande är för en given jobbpost. Dock är det möjligt att träna språkmodeller oberoende av det faktiska problemet– och därav oberoende av tillgänglig data – med tillkomsten av inlärningsöverföring. I den här rapporten används en språkmodell som finjusterats på naturlig språkinferens (NSI) via tvärspråklig inlärningsöverföring för jobbmatchningsproblemet. Den jämförs mot en semantisk metod som använder svenska taxonomier för att konstruera nätverk med hierarki- och synonymrelationer. Då NSI kan appliceras på godtyckliga meningspar, undersöks även textsegmentering för att förbättra metodernas prestanda. Resultaten visar att NSI-metoden är signifikant bättre än en slumpmässig lämplighetsklassificerare, men överträffas av den semantiska metoden som hade 34% bättre prestanda på datasetet som användes. Användandet av textsegmentering hade försumbar effekt för den samlade prestandan, men visades uppnå bättre rankning av de mest lämpande jobbsökande relativt expertbedömning av deras relevans.
Chala, Sisay Adugna [Verfasser]. "Bidirectional job matching through unsupervised feature learning / Sisay Adugna Chala." Siegen : Universitätsbibliothek der Universität Siegen, 2018. http://d-nb.info/1154308588/34.
Full textGonard, François. "Cold-start recommendation : from Algorithm Portfolios to Job Applicant Matching." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS121/document.
Full textThe need for personalized recommendations is motivated by the overabundance of online information, products, social connections. This typically tackled by recommender systems (RS) that learn users interests from past recorded activities. Another context where recommendation is desirable is when estimating the relevance of an item requires complex reasoning based on experience. Machine learning techniques are good candidates to simulate experience with large amounts of data.The present thesis focuses on the cold-start context in recommendation, i.e. the situation where either a new user desires recommendations or a brand-new item is to be recommended. Since no past interaction is available, RSs have to base their reasoning on side descriptions to form recommendations. Two of such recommendation problems are investigated in this work. Recommender systems designed for the cold-start context are designed.The problem of choosing an optimization algorithm in a portfolio can be cast as a recommendation problem. We propose a two components system combining a per-instance algorithm selector and a sequential scheduler to reduce the optimization cost of a brand-new problem instance and mitigate the risk of optimization failure. Both components are trained with past data to simulate experience, and alternatively optimized to enforce their cooperation. The final system won the Open Algorithm Challenge 2017.Automatic job-applicant matching (JAM) has recently received considerable attention in the recommendation community for applications in online recruitment platforms. We develop specific natural language (NL) modeling techniques and combine them with standard recommendation procedures to leverage past user interactions and the textual descriptions of job positions. The NL and recommendation aspects of the JAM problem are studied on two real-world datasets. The appropriateness of various RSs on applications similar to the JAM problem are discussed
Elm, Emilia. "Comparison of methods applied to job matching based on soft skills." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420374.
Full textWesley, S. Scott. "Background data subgroups and career outcomes : some developmental influences on person job-matching." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/31065.
Full textPetrongolo, Barbara. "Job matching and unemployment : applications to the UK labour market and international comparisons." Thesis, London School of Economics and Political Science (University of London), 1998. http://etheses.lse.ac.uk/1501/.
Full textBooks on the topic "Job Matching"
Attfield, C. L. F. A model of job matching and job competition. Bristol: University of Bristol, Department of Economics, 1992.
Find full textA, Pissarides Christopher, Tatsiramos Konstantinos, and Zimmermann Klaus F, eds. Job matching, wage dispersion, and unemployment. Oxford: Oxford University Press, 2011.
Find full textBotterbusch, Karl F. A comparison of computerized job matching systems. Menomonie, Wis: Materials Development Center, Stout Vocational Rehabilitation Institute, School of Education and Human Services, University of Wisconsin-Stout, 1986.
Find full textBlanchard, Olivier. The aggregate matching function. Cambridge, MA: National Bureau of Economic Research, 1989.
Find full textHanushek, Eric A. Constrained job matching: Does teacher job search harm disadvantaged urban schools? Cambridge, MA: National Bureau of Economic Research, 2010.
Find full textHaan, Wouter J. Den. Shocks and institutions in a job matching model. Cambridge, MA: National Bureau of Economic Research, 2001.
Find full textFelli, Leonardo. Job matching, learning and the distribution of surplus. London: Suntory-Toyota International Centre for Economics and Related Disciplines, 1994.
Find full textFernandez, Richard L. Setting enlistment standards and matching recruits to jobs using job performance criteria. Santa Monica, CA: Rand, 1985.
Find full textLancaster, Tony. Residuals, tests and plots with a job matching illustration. Hull: University of Hull, 1985.
Find full textLinden, Bruno Van der. Equilibrium evaluation of active labor market programmes enhancing matching effectiveness. Bonn, Germany: IZA, 2005.
Find full textBook chapters on the topic "Job Matching"
Lancaster, Tony, Guido Imbens, and Peter Dolton. "Job separations and job matching." In International Studies in Economics and Econometrics, 31–43. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3591-4_3.
Full textBerglund, Tomas, and Ingrid Esser. "Matching Work Values With Job Qualities for Job Satisfaction." In Work Orientations, 219–38. New York, NY : Routledge, 2020. | Series: Routledge studies in management, organizations and society: Routledge, 2019. http://dx.doi.org/10.4324/9781351121149-10.
Full textMcHenry, Jeffrey J. "Pinpointing: Matching Job Assignments to Employees." In Experience-Driven Leader Development, 69–75. San Francisco: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118918838.ch11.
Full textShai, Ohad, Edi Shmueli, and Dror G. Feitelson. "Heuristics for Resource Matching in Intel’s Compute Farm." In Job Scheduling Strategies for Parallel Processing, 116–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43779-7_7.
Full textXu, Peng, and Denilson Barbosa. "Matching Résumés to Job Descriptions with Stacked Models." In Advances in Artificial Intelligence, 304–9. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89656-4_31.
Full textIchiishi, Tatsuro, and Semih Koray. "Job matching: a multi-principal, multi-agent model." In Advances in Mathematical Economics, 41–66. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-67909-7_3.
Full textHeggo, Islam A., and Nashwa Abdelbaki. "Behaviorally-Based Textual Similarity Engine for Matching Job-Seekers with Jobs." In The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), 564–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74690-6_55.
Full textLivingstone, D. W. "Chapter Two. Prior Empirical Research on Education-Job Matching." In Education and Jobs, edited by D. W. Livingstone, 33–50. Toronto: University of Toronto Press, 2009. http://dx.doi.org/10.3138/9781442686410-006.
Full textNguyen, Cuong Duc, Khoi Duy Vo, and Dung Tien Nguyen. "Supporting Career Counseling with User Modeling and Job Matching." In Advanced Computational Methods for Knowledge Engineering, 281–92. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00293-4_21.
Full textYamada, Hiroshi, Kaoru Shinkawa, Atsushi Hiyama, Masato Yamaguchi, Masatomo Kobayashi, and Michitaka Hirose. "Interactive Searching Interface for Job Matching of Elderly Workers." In Universal Access in Human-Computer Interaction. Users and Context Diversity, 436–45. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40238-3_42.
Full textConference papers on the topic "Job Matching"
Vega, José. "Semantic matching between job offers and job search requests." In the 13th conference. Morristown, NJ, USA: Association for Computational Linguistics, 1990. http://dx.doi.org/10.3115/992507.992520.
Full textRodriguez, Leah G., and Enrico P. Chavez. "Feature Selection for Job Matching Application using Profile Matching Model." In 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS). IEEE, 2019. http://dx.doi.org/10.1109/ccoms.2019.8821682.
Full textChala, Sisay Adugna, Fazel Ansari, and Madjid Fathi. "A Framework for Enriching Job Vacancies and Job Descriptions Through Bidirectional Matching." In 12th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005806502190226.
Full textZhao, Tianhua, Cheng Wuyu, and Chen Zhixiang. "Summer Job Selection Model Based on Job Matching and Comprehensive Evaluation Algorithm." In ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469213.3470394.
Full textBollinger, Jacob, David Hardtke, and Ben Martin. "Using social data for resume job matching." In the 2012 workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2390131.2390143.
Full textGuo -Ding Liao, Miao-Zhu You, and Guo-Cheng Wang. "Experimental economic research for matching job positions." In 2015 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC). IEEE, 2015. http://dx.doi.org/10.1109/besc.2015.7365965.
Full textHauff, Claudia, and Georgios Gousios. "Matching GitHub Developer Profiles to Job Advertisements." In 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR). IEEE, 2015. http://dx.doi.org/10.1109/msr.2015.41.
Full textMine, Tsunenori, Tomoyuki Kakuta, and Akira Ono. "Reciprocal Recommendation for Job Matching with Bidirectional Feedback." In 2013 IIAI International Conference on Advanced Applied Informatics (IIAIAAI). IEEE, 2013. http://dx.doi.org/10.1109/iiai-aai.2013.91.
Full textBills, Joseph, and Yiu-kai Dennis Ng. "Looking for Jobs? Matching Adults with Autism with Potential Employers for Job Opportunities." In IDEAS 2021: 25th International Database Engineering & Applications Symposium. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3472163.3472270.
Full textChala, Sisay, Scott Harrison, and Madjid Fathi. "Knowledge extraction from online vacancies for effective job matching." In 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2017. http://dx.doi.org/10.1109/ccece.2017.7946793.
Full textReports on the topic "Job Matching"
Hanushek, Eric, and Steven Rivkin. Constrained Job Matching: Does Teacher Job Search Harm Disadvantaged Urban Schools? Cambridge, MA: National Bureau of Economic Research, March 2010. http://dx.doi.org/10.3386/w15816.
Full textHaan, Wouter Den, Christian Haefke, and Garey Ramey. Shocks and Institutions in a Job Matching Model. Cambridge, MA: National Bureau of Economic Research, September 2001. http://dx.doi.org/10.3386/w8463.
Full textHall, Robert, and Sam Schulhofer-Wohl. Measuring Job-Finding Rates and Matching Efficiency with Heterogeneous Jobseekers. Cambridge, MA: National Bureau of Economic Research, February 2015. http://dx.doi.org/10.3386/w20939.
Full textJiang, Yi, Liming Chen, and Eugenia Go. Accessibility Analysis of the South Commuter Railway Project of the Philippines. Asian Development Bank, August 2021. http://dx.doi.org/10.22617/brf2101314-2.
Full textRaei, Lamia. Exploring the Links: Youth participation and employment opportunities in Jordan. Oxfam IBIS, August 2021. http://dx.doi.org/10.21201/2021.7981.
Full textLightfoot, Mary A., and Peter F. Ramsberger. Matching Recruits to Jobs: The Enlisted Personnel Allocation System. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada382909.
Full textJohnson, Cecil D., and Joseph Zeidner. Classification Utility: Measuring and Improving Benefits in Matching Personnel to Jobs. Fort Belvoir, VA: Defense Technical Information Center, April 1990. http://dx.doi.org/10.21236/ada228386.
Full textDurand-Lasserve, Olivier. Policies to Nationalize the Private Sector Labor Force in a Matching Model with Public Jobs and Quotas. King Abdullah Petroleum Studies and Research Center, March 2021. http://dx.doi.org/10.30573/ks--2021-dp05.
Full textBoyd, Donald, Hamilton Lankford, Susanna Loeb, and James Wyckoff. Analyzing the Determinants of the Matching Public School Teachers to Jobs: Estimating Compensating Differentials in Imperfect Labor Markets. Cambridge, MA: National Bureau of Economic Research, August 2003. http://dx.doi.org/10.3386/w9878.
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