Xiaoyu Xia

Personal Details

First Name:	Xiaoyu
Middle Name:
Last Name:	Xia
Suffix:
RePEc Short-ID:	pxi266
	[This author has chosen not to make the email address public]

Affiliation

Economics Department
University of Essex

Colchester, United Kingdom
https://www.essex.ac.uk/departments/economics
RePEc:edi:edessuk (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Shuaizhang Feng & Xiaoyu Xia, 2018. "Endogenous skill-biased technology adoption: Evidence from China's college enrollment expansion program," Working Papers 2018-099, Human Capital and Economic Opportunity Working Group.

   Cited by:

   1. Meiling Kang & Yucheng Li & Zhongkuang Zhao & Minjuan Zheng & Han Wu, 2022. "Does Human Capital Homogeneously Improve the Corporate Innovation: Evidence from China’s Higher Education Expansion in the Late 1990s," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
   2. Bollinger, Christopher & Ding, Xiaozhou & Lugauer, Steven, 2022. "The expansion of higher education and household saving in China," China Economic Review, Elsevier, vol. 71(C).

2. Ho, Teck-Hua & Chong, Juin Kuan & Xia, Xiaoyu, 2017. "Yellow taxis have fewer accidents than blue taxis because yellow is more visible than blue," MPRA Paper 78154, University Library of Munich, Germany.

   Cited by:

   1. Zhou, You, 2020. "Ride-sharing, alcohol consumption, and drunk driving," Regional Science and Urban Economics, Elsevier, vol. 85(C).
   2. Chao Ma, 2021. "Be Cautious In The Last Month: The Sunk Cost Fallacy Held By Car Insurance Policyholders," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 1199-1236, August.

3. Lucas Herrenbrueck & Xiaoyu Xia & Paul Eastwick & Eli Finkel & Chin Ming Hui, 2016. "Smart-Dating in Speed-Dating: How a Simple Search Model Can Explain Matching Decisions," Discussion Papers dp16-02, Department of Economics, Simon Fraser University.
   • Herrenbrueck, Lucas & Xia, Xiaoyu & Eastwick, Paul & Hui, Chin Ming, 2018. "Smart-dating in speed-dating: How a simple Search model can explain matching decisions," European Economic Review, Elsevier, vol. 106(C), pages 54-76.

   Cited by:

   1. Paul M. Anglin & Yanmin Gao, 2023. "Value of Communication and Social Media: An Equilibrium Theory of Messaging," The Journal of Real Estate Finance and Economics, Springer, vol. 66(4), pages 861-903, May.
   2. Xu, Yujing & Yang, Huanxing, 2019. "Targeted search with horizontal differentiation in the marriage market," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 31-62.

Articles

1. Naijia Guo & Xiaoyu Xia & Junsen Zhang, 2022. "A Matching Model of Co-Residence with a Family Network: Empirical Evidence from China," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2873-2917.

   Cited by:

   1. Tian, Geran & Jin, Changlun & Wu, Weixing, 2024. "Too old to spend? Understanding the consumption of the elderly in China," China Economic Review, Elsevier, vol. 88(C).
   2. Liang, Qingquan & Zeng, Weihong & Yi, Lan, 2025. "Examining the wage gap between public and non-public sector in China: Insights from a robust quantile selection model," China Economic Review, Elsevier, vol. 92(C).
   3. Meng-Chi Tang & Hsin-Yi Chiu, 2024. "Upstream or downstream transfer behind patrilocal coresidence? Evidence from three-generational panel data," The Japanese Economic Review, Springer, vol. 75(4), pages 877-926, December.
   4. Guo, Naijia & Huang, Wei & Wang, Ruixin, 2025. "Public pensions and family dynamics: Eldercare, child investment, and son preference in rural China," Journal of Development Economics, Elsevier, vol. 172(C).

2. Feng, Shuaizhang & Xia, Xiaoyu, 2022. "Heterogeneous firm responses to increases in high-skilled workers: Evidence from China's college enrollment expansion," China Economic Review, Elsevier, vol. 73(C).

   Cited by:

   1. Xianbo Li, 2022. "Sequence Model and Prediction for Sustainable Enrollments in Chinese Universities," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
   2. Xu, Tao & Zhu, Weiwei, 2021. "Eudemonia and Freedom: A Bibliometric Research on Frontiers and Evolution of Labour and Employment in China," MPRA Paper 112908, University Library of Munich, Germany, revised 30 Mar 2022.
   3. Luo, Haotian & Hu, Qing, 2024. "A re-examination of the influence of human capital on urban-rural income gap in China: College enrollment expansion, digital economy and spatial spillover," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 494-519.
   4. Zhaoxin Huo & Ya Wang, 2025. "Impact of overwork on self-assessed health of rural-to-urban migrants: Limitations of work incentives moderation effect and industry heterogeneity," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-16, February.
   5. Yang, Yu (Alan), 2024. "On the Spatial Allocation of College Seats: Human Capital Production and the Distribution of Skilled Labor," MPRA Paper 120498, University Library of Munich, Germany.
   6. Sylvie Démurger & Eric A Hanushek & Lei Zhang, 2024. "Employer Learning and the Dynamics of Returns to Universities: Evidence from Chinese Elite Education during University Expansion," Post-Print halshs-04351549, HAL.
      • Sylvie Démurger & Eric A. Hanushek & Lei Zhang, 2019. "Employer Learning and the Dynamics of Returns to Universities: Evidence from Chinese Elite Education during University Expansion," NBER Working Papers 25955, National Bureau of Economic Research, Inc.
      • Sylvie Démurger & Eric A. Hanushek & Lei Zhang, 2024. "Employer Learning and the Dynamics of Returns to Universities: Evidence from Chinese Elite Education during University Expansion," Economic Development and Cultural Change, University of Chicago Press, vol. 73(1), pages 339-379.
   7. Ding, Xiaozhou & Song, Yaxiang, 2025. "Maternal education and early childhood outcomes in China," Economics of Education Review, Elsevier, vol. 107(C).

3. Herrenbrueck, Lucas & Xia, Xiaoyu & Eastwick, Paul & Hui, Chin Ming, 2018. "Smart-dating in speed-dating: How a simple Search model can explain matching decisions," European Economic Review, Elsevier, vol. 106(C), pages 54-76.
   • Lucas Herrenbrueck & Xiaoyu Xia & Paul Eastwick & Eli Finkel & Chin Ming Hui, 2016. "Smart-Dating in Speed-Dating: How a Simple Search Model Can Explain Matching Decisions," Discussion Papers dp16-02, Department of Economics, Simon Fraser University.
   See citations under working paper version above.
4. Teck-Hua Ho & Noah Lim & Sadat Reza & Xiaoyu Xia, 2017. "OM Forum—Causal Inference Models in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 509-525, October.

   Cited by:

   1. Guihua Wang & Ronghuo Zheng & Tinglong Dai, 2022. "Does Transportation Mean Transplantation? Impact of New Airline Routes on Sharing of Cadaveric Kidneys," Management Science, INFORMS, vol. 68(5), pages 3660-3679, May.
   2. Karca D. Aral & Erasmo Giambona & Ye Wang, 2022. "Buyer’s Bankruptcy Risk, Sourcing Strategy, and Firm Value: Evidence from the Supplier Protection Act," Management Science, INFORMS, vol. 68(11), pages 7940-7957, November.
   3. Karca D. Aral & Erasmo Giambona & Luk N. Van Wassenhove, 2023. "Managerial flexibility, capacity investment, and inventory levels," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 3890-3907, December.
   4. Christian Terwiesch & Marcelo Olivares & Bradley R. Staats & Vishal Gaur, 2020. "OM Forum—A Review of Empirical Operations Management over the Last Two Decades," Manufacturing & Service Operations Management, INFORMS, vol. 22(4), pages 656-668, July.
   5. Nathan Kallus & Angela Zhou, 2021. "Minimax-Optimal Policy Learning Under Unobserved Confounding," Management Science, INFORMS, vol. 67(5), pages 2870-2890, May.
   6. Marshall Fisher & Marcelo Olivares & Bradley R. Staats, 2020. "Why Empirical Research Is Good for Operations Management, and What Is Good Empirical Operations Management?," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 170-178, January.
   7. Suresh P. Sethi & Sushil Gupta & Vipin K. Agrawal & Vijay K. Agrawal, 2022. "Nobel laureates’ contributions to and impacts on operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4283-4303, December.
   8. Aleda Roth & Eve Rosenzweig, 2020. "Advancing Empirical Science in Operations Management Research: A Clarion Call to Action," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 179-190, January.
   9. Bodendorf, Frank & Sauter, Maximilian & Franke, Jörg, 2023. "A mixed methods approach to analyze and predict supply disruptions by combining causal inference and deep learning," International Journal of Production Economics, Elsevier, vol. 256(C).
   10. Sunil Mithas & Zhi‐Long Chen & Terence J.V. Saldanha & Alysson De Oliveira Silveira, 2022. "How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4475-4487, December.
   11. Velibor V. Mišić & Georgia Perakis, 2020. "Data Analytics in Operations Management: A Review," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 158-169, January.
   12. Lina Wang & Elliot Rabinovich & Timothy J. Richards, 2022. "Scalability in Platforms for Local Groceries: An Examination of Indirect Network Economies," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 318-340, January.

5. Xia, Xiaoyu, 2016. "Forming wage expectations through learning: Evidence from college major choices," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 176-196.

   Cited by:

   1. Bächli, Mirjam & Tsankova, Teodora, 2020. "Free Movement of Workers and Native Demand for Tertiary Education," Other publications TiSEM 33968781-3521-459e-86c9-f, Tilburg University, School of Economics and Management.
   2. Zhu, Yu & Xu, Lei, 2022. "Returns to Higher Education - Graduate and Discipline Premiums," IZA Discussion Papers 15299, IZA Network @ LISER.
      • Zhu,Yu & Xu, Lei, 2022. "Returns to Higher Education - Graduate and Discipline Premiums," GLO Discussion Paper Series 1091, Global Labor Organization (GLO).
   3. Lukas Kiessling & Pia Pinger & Philipp Seegers & Jan Bergerhoff, 2023. "Gender Differences in Wage Expectations and Negotiation," ECONtribute Discussion Papers Series 268, University of Bonn and University of Cologne, Germany.
      • Kiessling, Lukas & Pinger, Pia & Seegers, Philipp & Bergerhoff, Jan, 2024. "Gender differences in wage expectations and negotiation," Labour Economics, Elsevier, vol. 87(C).
      • Lukas Kiessling & Pia Pinger & Philipp Seegers & Jan Bergerhoff, 2023. "Gender Differences in Wage Expectations and Negotiation," CESifo Working Paper Series 10838, CESifo.
      • Lukas Kiessling & Pia Pinger & Philipp Seegers & Jan Bergerhoff, 2024. "Gender Differences in Wage Expectations and Negotiation," CRC TR 224 Discussion Paper Series crctr224_2024_496, University of Bonn and University of Mannheim, Germany.
   4. Jones, Sam & Santos, Ricardo, 2022. "Can information correct optimistic wage expectations? Evidence from Mozambican job-seekers," Journal of Development Economics, Elsevier, vol. 159(C).
   5. Bachli, Mirjam & Tsankova, Teodora, 2020. "Free movement of workers and native demand for tertiary education," CAGE Online Working Paper Series 515, Competitive Advantage in the Global Economy (CAGE).
   6. Robert R. Carnes & Dane M. Christensen & Paul E. Madsen, 2023. "Externalities of Financial Statement Fraud on the Incoming Accounting Labor Force," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 61(5), pages 1531-1589, December.
   7. Fricke, Hans & Grogger, Jeffrey & Steinmayr, Andreas, 2018. "Exposure to academic fields and college major choice," Economics of Education Review, Elsevier, vol. 64(C), pages 199-213.
      • Fricke, Hans & Grogger, Jeffrey & Steinmayr, Andreas, 2018. "Exposure to academic fields and college major choice," Munich Reprints in Economics 62821, University of Munich, Department of Economics.
   8. Kiessling, Lukas & Pinger, Pia & Seegers, Philipp K. & Bergerhoff, Jan, 2019. "Gender Differences in Wage Expectations: Sorting, Children, and Negotiation Styles," IZA Discussion Papers 12522, IZA Network @ LISER.
      • Lukas Kiessling & Pia Pinger & Philipp Seegers & Jan Bergerhoff, 2019. "Gender Differences in Wage Expectations: Sorting, Children, and Negotiation Styles," CESifo Working Paper Series 7827, CESifo.
   9. Aidan Li, 2025. "Gender Differences in the College Major Selection Process," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3s), pages 7130-7144, September.
   10. Arpita Patnaik & Matthew J. Wiswall & Basit Zafar, 2020. "College Majors," NBER Working Papers 27645, National Bureau of Economic Research, Inc.
   11. Zhou, Yonghong, 2023. "Influence of political movement on fields of study: Evidence from Hong Kong," European Journal of Political Economy, Elsevier, vol. 79(C).
   12. Bächli, Mirjam & Teodora Tsankova, 2020. "Free Movement of Workers and Native Demand for Tertiary Education," Economics Working Paper Series 2019, University of St. Gallen, School of Economics and Political Science.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-CBE: Cognitive and Behavioural Economics (1) 2016-04-09
2. NEP-CNA: China (1) 2019-01-07
3. NEP-DGE: Dynamic General Equilibrium (1) 2016-04-09
4. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2019-01-07
5. NEP-SEA: South East Asia (1) 2017-04-16
6. NEP-TRA: Transition Economics (1) 2019-01-07
7. NEP-TRE: Transport Economics (1) 2017-04-16

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