Relevant bibliographies by topics / Self-selection

Academic literature on the topic 'Self-selection'

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Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Self-selection"

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Librett, John, Michelle M. Yore, Thomas L. Schmid, and Harold W. Kohl. "Self-selection Bias." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S330. http://dx.doi.org/10.1249/00005768-200505001-01702.

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Librett, John, Michelle M. Yore, Thomas L. Schmid, and Harold W. Kohl. "Self-selection Bias." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S330. http://dx.doi.org/10.1097/00005768-200505001-01702.

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Oberfield, Zachary W. "Socialization and Self-Selection." Administration & Society 44, no. 6 (October 12, 2011): 702–30. http://dx.doi.org/10.1177/0095399711420545.

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Barberà, Salvador, and Carmen Beviá. "Self-Selection Consistent Functions." Journal of Economic Theory 105, no. 2 (August 2002): 263–77. http://dx.doi.org/10.1006/jeth.2001.2860.

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Wynn, V. "Selection and self: Selection as a social process." European Journal of Cognitive Psychology 11, no. 4 (December 1999): 385–402. http://dx.doi.org/10.1080/713752329.

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Herriot, Peter. "Selection and self: Selection as a social process." European Journal of Work and Organizational Psychology 11, no. 4 (December 2002): 385–402. http://dx.doi.org/10.1080/13594320244000256.

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Windolf, Paul. "Selection and Self‐selection at German Mass Universities." Oxford Review of Education 21, no. 2 (June 1995): 207–31. http://dx.doi.org/10.1080/0305498950210206.

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Guan, Xiaodong, and Donggen Wang. "Residential self-selection in the built environment-travel behavior connection: Whose self-selection?" Transportation Research Part D: Transport and Environment 67 (February 2019): 16–32. http://dx.doi.org/10.1016/j.trd.2018.10.015.

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Singleton, Peter D. "Beware of self selection and self fulfilling prophecy." BMJ 336, no. 7652 (May 8, 2008): 1034.2–1034. http://dx.doi.org/10.1136/bmj.39563.591481.80.

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Ferguson, D. G. "Shortages, Segmentation, and Self-Selection." Canadian Journal of Economics 27, no. 1 (February 1994): 183. http://dx.doi.org/10.2307/135810.

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Dissertations / Theses on the topic "Self-selection"

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Hender, Kim. "Self-selection of self-development reading : who reads and why? /." Title page, table of contents and abstract only, 1996. http://web4.library.adelaide.edu.au/theses/09HS/09hsh495.pdf.

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Liljedahl, Emma, and Alexandra Gabriel. "Self-selection in Software Development Teams : A Case Study Regarding Challenges and Possibilities with Reorganization through Self-selection." Thesis, Linköpings universitet, Informatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158417.

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The software development business today is a land of constant change. The change requires the organizations who operate within this business to be flexible and quick to respond. This has led to multiple agile organization methods being developed, one of them is DevOps. A cornerstone in DevOps is self-selection - a method for assembling teams. This method gives hope of less administration, autonomy in teams and increased performance. In this essay we investigate the promises - the challenges and the possibilities - of self-selection. The case in this essay is IFS - a big software development company, implementing self-selection department by department also facing the challenges of combining traditional project values with the short iterations of an agile method. Our qualitative study investigates which the main challenges and possibilities are. We also investigate how these findings should be managed. How could the diversity, team size and autonomy be enhanced or diminished? We found that some parts of the case, and practice, were like our prior literature - but some were not. For example, the feeling of being in homogeneous teams were not always negative, and the majority of those taking part of the self-selection at IFS said they chose team by assignment - not social network as the prior literature said. Our conclusion reveals that there are several different factors to consider when having selfselection implemented in a traditional project environment. The main areas where we have found possible improvements are Team Choice, Team Diversity, Overlapping Assignments, Experienced Ownership, Management Influence and Performance.
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Ohnsorge, Franziska. "Self-selection, labour markets and capital markets." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ63648.pdf.

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Jones, Lee Frances. "Self-assessment in the context of selection." Thesis, Goldsmiths College (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402167.

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Peron, Christine. "Expatriate selection, are high self-monitors better expatriates?" Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ64052.pdf.

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Maw, James William. "Self-enforcing contracts, adverse selection and labour markets." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386601.

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Koshal, Amit. "Information and self-selection in the PIPE market." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42332.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2007.
Includes bibliographical references (leaves 44-49).
PIPEs (Private Investments in Public Equity) are unique in that they are negotiated privately between sophisticated investors and the public firm. As a result, the issue price deviates from the firm's stock price, often resulting in a substantial PIPE discount. However, only a limited set of firms issues equity at such a discount. PIPE issuers tend to be low quality, less transparent firms that cannot raise capital through traditional sources. As indicators of this quality, I examine the firm's accruals and audit quality in the year of its PIPE issuance. I find that the PIPE discount is more strongly associated with audit quality, and that firms with low quality auditors are issued at a 5% discount relative to comparable firms with high quality auditors. Much of this discount is due to self-selection, suggesting that higher quality PIPE issuers select high quality auditors.
by Amit Koshal.
Ph.D.
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Löf, Calle. "Selection into self-employment: gender differences in Chile." Thesis, Linnéuniversitetet, Institutionen för nationalekonomi och statistik (NS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-84728.

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This study examines gender differences in the choice to become self-employed in Chile,focusing especially on the influence of the predicted earnings differential between selfemploymentand wage-employment. By estimating selectivity adjusted incomeequations, earnings in both sectors are predicted for each individual and the difference isused as an explanatory variable in a probit model where the dependent variable measuresself-employment status. The results show that men respond positively to the earningsdifferential whereas women respond negatively, indicating that the female choice ismostly influenced by push factors. It is also found that having small children has animportant effect on women in particular. Lastly, a comparison between employers andown-account workers shows that employers are more uniform across genders than ownaccountworkers. Due to a possibly inadequate identification strategy, these results shouldhowever be viewed with caution.
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Troshchenkov, Sergii. "Commutingto work – self-selection on earnings and unobserved heterogeneity." Thesis, Umeå universitet, Nationalekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-67935.

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Regev, Tal Ph D. Massachusetts Institute of Technology. "Three essays on unemployment, self-selection and wage differentials." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/34512.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2006.
"June 2006."
Includes bibliographical references (p. 88-94).
This thesis is a collection of three essays on labor economics from a macroeconomic prospective. Chapter 1 discusses imperfect information, self-selection and the market for higher education. It explores how the steady trends in increased tuition costs, college enrollment and returns to education might be related to the quality of college graduates. The model shows that the signaling role of education might be an important, yet largely neglected ingredient in these recent changes. In a special signaling model, workers face the same costs, but can expect different returns from college. Allocation of ability into skill is determined by the equilibrium skill premium. Incorporating a production of higher education, the properties of the college market equilibrium are discussed. A skill biased technical change initially decreases self-selection into college, but the general equilibrium effect can overturn the initial decline, since increased enrollment and rising tuition costs increase selection. Higher initial human capital has an external effect on subsequent investment: all agents increase their schooling investment, and the higher equilibrium tuition costs increase self-selection and the college premium. Chapter 2 is about unemployment insurance and the uninsured.
(cont.) Under Federal-State law workers who quit a job are not entitled to unemployment insurance. How does the existence of the uninsured affect wages and employment? An equilibrium search model is extended to account for two types of unemployed workers. In addition to the unemployed who are currently receiving unemployment benefits and for whom an increase in unemployment benefits reduces the incentive to work, there are also unemployed who are currently not insured. For these, work provides an added value in the form of future eligibility, and an increase in unemployment benefits increases their willingness to work. Incorporating both types into a search model permits solving analytically for the endogenous wage dispersion and insurance rate in the economy. It is shown that in general equilibrium, when firms adjust their job creation margin, the wage dispersion is reduced and the overall effect of benefits can be signed: higher unemployment benefits increase average wages and decrease the vacancy-to-unemployment ratio. Chapter 3 explores the optimal provision of unemployment insurance within a search model. Adding risk aversion to the standard search and matching model allows for an analytic discussion of the optimal provision of unemployment insurance.
(cont.) The government's capacity to insure workers is limited by the market wage setting, which gives workers a share in the employment surplus. When the government provides higher unemployment benefits, the bargained wages increase, and unemployment rises. These equilibrium responses have a negative effect on workers' welfare if workers' bargaining power is above a certain point, which is lower than the matching elasticity. As risk aversion increases, workers' share in the wage bargain is smaller, and thus the equilibrium effects are attenuated. The constrained optimal provision of unemployment benefits is a modification of the Hosios condition for efficient unemployment insurance and highlights the roles of bargaining and risk aversion. The optimal level of insurance increases with risk aversion, with the costs of creating a vacancy and with workers' higher bargaining power.
by Tal Regev.
Ph.D.
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Books on the topic "Self-selection"

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Roach, Jason, and Ken Pease. Self-Selection Policing. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-46852-9.

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Hosios, Arthur. Self-selection with renegotiation. Toronto: Dept. of Economics and Institute for Policy Analysis, University of Toronto, 1991.

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Hosios, Arthur. Self-selection with renegotiation. Toronto: Dept. of Economics, Institute for Policy Analysis, University of Toronto, 1988.

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Williams, Allan P. O. The neglected process of self-selection. London: The City University Business School, 1985.

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Williams, Allan P. O. The neglected process of self-selection. London: City University Business School, 1985.

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Williams, Allan P. O. The neglected process of self-selection. London: City University Business School, 1985.

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Munro, Alistair. Self-selection and optimal in-kind transfers. Stirling: Department of Economics, University of Stirling, 1990.

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Dimova, Ralitza. Self-selection and earnings during volatile transition. Bonn, Germany: IZA, 2004.

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Eriksson, Tor. Self-selection and the efficiency of tournaments. Bonn, Germany: IZA, 2006.

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Orrenius, Pia M. Self-selection among undocumented immigrants from Mexico. [Dallas, Tx.]: Federal Reserve Bank of Dallas, 2000.

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Book chapters on the topic "Self-selection"

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Dalton, Jeff. "Self-Selection/Self-Subscription." In Great Big Agile, 231–32. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4206-3_55.

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Roach, Jason, and Ken Pease. "Introduction." In Self-Selection Policing, 1–10. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-46852-9_1.

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Roach, Jason, and Ken Pease. "Identifying Suspects." In Self-Selection Policing, 11–26. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-46852-9_2.

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Roach, Jason, and Ken Pease. "Are Serious Criminals Really Offence Versatile?" In Self-Selection Policing, 27–58. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-46852-9_3.

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Roach, Jason, and Ken Pease. "Self-Selection Policing and Serious Offenders." In Self-Selection Policing, 59–71. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-46852-9_4.

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Roach, Jason, and Ken Pease. "Going Fishing: Searching for Self-Selection Policing Trigger Offences Committed by Visitors to a Prison." In Self-Selection Policing, 73–94. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-46852-9_5.

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Roach, Jason, and Ken Pease. "Driving Offences as Self-Selection Policing Triggers." In Self-Selection Policing, 95–116. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-46852-9_6.

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Roach, Jason, and Ken Pease. "A Long and Winding Road? Barriers to Adopting Self-Selection Policing." In Self-Selection Policing, 117–40. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-46852-9_7.

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Heckman, James J. "Selection Bias and Self-Selection." In The New Palgrave Dictionary of Economics, 1–18. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_1762-1.

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Heckman, James J. "Selection Bias and Self-Selection." In The New Palgrave Dictionary of Economics, 1–18. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_1762-2.

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Conference papers on the topic "Self-selection"

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Santhanam, Nithin, Shari Trewin, Cal Swart, and Padmanabhan Santhanam. "Self-selection of accessibility options." In The proceedings of the 13th international ACM SIGACCESS conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2049536.2049605.

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Zhou, Yan, Murat Kantarcioglu, and Bhavani Thuraisingham. "Self-Training with Selection-by-Rejection." In 2012 IEEE 12th International Conference on Data Mining (ICDM). IEEE, 2012. http://dx.doi.org/10.1109/icdm.2012.56.

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Yee, G., Y. S. Ong, and P. S. Tan. "Self-assembly of supplier selection strategies." In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. http://dx.doi.org/10.1109/ieem.2016.7797856.

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Zhao, Haifeng, Bowen Zhang, Shaojie Zhang, and Jian Zhang. "Self-weighted locality discriminative feature selection." In Eleventh International Conference on Graphics and Image Processing, edited by Zhigeng Pan and Xun Wang. SPIE, 2020. http://dx.doi.org/10.1117/12.2557612.

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Benabdeslem, Khalid, and Mustapha Lebbah. "Feature Selection for Self-Organizing Map." In 2007 29th International Conference on Information Technology Interfaces. IEEE, 2007. http://dx.doi.org/10.1109/iti.2007.4283742.

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Xin, Xin, Zhu Li, Zhan Ma, and Aggelos K. Katsaggelos. "Robust feature selection with self-matching score." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738899.

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Khopkar, Tapan, Xin Li, and Paul Resnick. "Self-selection, slipping, salvaging, slacking, and stoning." In the 6th ACM conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1064009.1064033.

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Fakhari, Seyedeh Negin Seyed, and Amir Masud Eftekhari Moghadam. "NSSAC: Negative selection-based self adaptive classifier." In 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA). IEEE, 2011. http://dx.doi.org/10.1109/inista.2011.5946064.

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Krishna, Tarun, Ayush Rai, Yasser Djilali, Alan Smeaton, Kevin McGuinness, and Noel O'Connor. "Dynamic Channel Selection in Self-Supervised Learning." In 24th Irish Machine Vision and Image Processing Conference. Irish Pattern Recognition and Classification Society, 2022. http://dx.doi.org/10.56541/lkli8696.

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Whilst computer vision models built using self-supervised approaches are now commonplace, some important questions remain. Do self-supervised models learn highly redundant channel features? What if a self-supervised network could dynamically select the important channels and get rid of the unnecessary ones? Currently, convnets pre-trained with self-supervision have obtained comparable performance on downstream tasks in comparison to their supervised counterparts in computer vision. However, there are drawbacks to self-supervised models including their large numbers of parameters, computationally expensive training strategies and a clear need for faster inference on downstream tasks. In this work, our goal is to address the latter by studying how a standard channel selection method developed for supervised learning can be applied to networks trained with self-supervision. We validate our findings on a range of target budgets td for channel computation on image classification task across different datasets, specifically CIFAR-10, CIFAR-100, and ImageNet-100, obtaining comparable performance to that of the original network when selecting all channels but at a significant reduction in computation reported in terms of FLOPs.
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Wang, Hongpeng, and Zhongqiu Li. "Self-Selection Based Adaptive Routing for MANET." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.580.

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Reports on the topic "Self-selection"

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Borjas, George. Immigration And Self-Selection. Cambridge, MA: National Bureau of Economic Research, April 1988. http://dx.doi.org/10.3386/w2566.

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Levine, Ross, and Yona Rubinstein. Selection into Entrepreneurship and Self-Employment. Cambridge, MA: National Bureau of Economic Research, December 2018. http://dx.doi.org/10.3386/w25350.

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Borjas, George. Self-Selection and the Earnings of Immigrants. Cambridge, MA: National Bureau of Economic Research, May 1987. http://dx.doi.org/10.3386/w2248.

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Benhabib, Jess, Feng Dong, and Pengfei Wang. Adverse Selection and Self-fulfilling Business Cycles. Cambridge, MA: National Bureau of Economic Research, October 2014. http://dx.doi.org/10.3386/w20642.

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Kirkebøen, Lars, Edwin Leuven, and Magne Mogstad. Field of Study, Earnings, and Self-Selection. Cambridge, MA: National Bureau of Economic Research, December 2014. http://dx.doi.org/10.3386/w20816.

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Breschi, Stefano, Francesco Lissoni, and Ernest Miguelez. Return Migrants’ Self-selection: Evidence for Indian Inventor. Cambridge, MA: National Bureau of Economic Research, July 2018. http://dx.doi.org/10.3386/w24809.

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Hall, Robert. The Amplification of Unemployment Fluctuations through Self-Selection. Cambridge, MA: National Bureau of Economic Research, March 2005. http://dx.doi.org/10.3386/w11186.

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Enke, Benjamin, Thomas Graeber, and Ryan Oprea. Confidence, Self-Selection and Bias in the Aggregate. Cambridge, MA: National Bureau of Economic Research, July 2022. http://dx.doi.org/10.3386/w30262.

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Kaestner, Robert, and Ofer Malamud. Self-Selection and International Migration: New Evidence from Mexico. Cambridge, MA: National Bureau of Economic Research, February 2010. http://dx.doi.org/10.3386/w15765.

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Borjas, George, Stephen Bronars, and Stephen Trejo. Self-Selection and Internal Migration in the United States. Cambridge, MA: National Bureau of Economic Research, February 1992. http://dx.doi.org/10.3386/w4002.

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