IDEAS home Printed from https://ideas.repec.org/p/isu/genstf/201301010800004458.html
   My bibliography  Save this paper

Essays on agricultural, financial economics and education

Author

Listed:
  • Murguia Baysse, Juan Manuel

Abstract

This dissertation is devoted to the study of three different topics under the advice of three different mayor professors. The only thing these topics have in common is the interest and curiosity of the author to explain real life events, using applied econometric techniques. Chapter 2 applies financial tools to assess whether stock values reacted across world markets to the announcement of indexes that synthesize the environmental performance of the world's largest publicly-traded companies. The environmental index selected for this purpose is the "Global 100 Ranking" (G100), a ranking of the 100 largest public companies by market capitalization. The results show that the market reacted to the "Global 100 Ranking" by changing the relative price of the stocks, but not the value of the portfolio. We also find that investors in US-traded stocks are more interested in past environmental performance than on managerial quality, while the opposite is true for investors in non-US-traded stocks. Chapter 3 estimates simultaneous equation models of barge and railroad rates for specific origin-destinations and grains (corn, wheat, and soybeans) in the US, using data from the Grain Transportation Report. Evidence of specific route competitiveness of various grains was found. Interestingly, it was possible to identify a railroad route with prices as complementary of barge rates, which may increase railroad market power. River levels affect barge rates, but there are differences for corn and wheat, possibly due to production locations in the Mississippi basin. Ocean vessel rates affect barge rates directly and railroad rates indirectly. Real exchange rates affect barge rates more than railroad rates. Evidence suggests that distance between railroad origin and barge origin affects the impact of the later on the first one. Chapter 4 studies the effect on early education achievement of keeping the same classmates as in the previous year by utilizing the unique nature of the Tennessee Student Teacher Achievement Ratio (STAR). Results show that keeping all kindergarten classmates vs. losing all of them increases the probability of passing first grade by 7 to 10 percent. In addition, noncognitive skills are improved when more kindergarten classmates are kept as first grade classmates. If all classmates are kept together vs. staying alone in a new class, motivation and selfconfidence may increase by 0.5 of a standard deviation, while the number of absences may decrease by 2 to 3 days.

Suggested Citation

  • Murguia Baysse, Juan Manuel, 2013. "Essays on agricultural, financial economics and education," ISU General Staff Papers 201301010800004458, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:201301010800004458
    as

    Download full text from publisher

    File URL: https://dr.lib.iastate.edu/server/api/core/bitstreams/618a8c9e-30f0-44a3-bb73-7174810bf5b7/content
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andreas Ammermueller & Jörn-Steffen Pischke, 2009. "Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 315-348, July.
    2. Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, May.
    3. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
    4. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 497-532.
    5. Weili Ding & Steven F. Lehrer, 2007. "Do Peers Affect Student Achievement in China's Secondary Schools?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 300-312, May.
    6. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    7. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    8. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    9. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    10. Matthew Neidell & Jane Waldfogel, 2010. "Cognitive and Noncognitive Peer Effects in Early Education," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 562-576, August.
    11. Friesen, Jane & Krauth, Brian, 2007. "Sorting and inequality in Canadian schools," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2185-2212, December.
    12. Julian R. Betts & Darlene Morell, 1999. "The Determinants of Undergraduate Grade Point Average: The Relative Importance of Family Background, High School Resources, and Peer Group Effects," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 268-293.
    13. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    14. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    15. Michael Kremer & Dan Levy, 2008. "Peer Effects and Alcohol Use among College Students," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 189-206, Summer.
    16. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    17. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    18. Case, A.C. & Katz, L.F., 1991. "The Company You Keep: The Effects Of Family And Neighborhood On Disadvantaged Younths," Harvard Institute of Economic Research Working Papers 1555, Harvard - Institute of Economic Research.
    19. Lefgren, Lars, 2004. "Educational peer effects and the Chicago public schools," Journal of Urban Economics, Elsevier, vol. 56(2), pages 169-191, September.
    20. Thomas S. Dee, 2004. "Teachers, Race, and Student Achievement in a Randomized Experiment," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 195-210, February.
    21. Michael A. Boozer & Stephen E. Cacciola, 2001. "Inside the 'Black Box' of Project STAR: Estimation of Peer Effects Using Experimental Data," Working Papers 832, Economic Growth Center, Yale University.
    22. Cunha, Flavio & Heckman, James J. & Lochner, Lance, 2006. "Interpreting the Evidence on Life Cycle Skill Formation," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 12, pages 697-812, Elsevier.
    23. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    24. Kim, Taejong & Lee, Ju-Ho & Lee, Young, 2008. "Mixing versus sorting in schooling: Evidence from the equalization policy in South Korea," Economics of Education Review, Elsevier, vol. 27(6), pages 697-711, December.
    25. Brian A. Jacob & Lars Lefgren & David Sims, 2008. "The Persistence of Teacher-Induced Learning Gains," NBER Working Papers 14065, National Bureau of Economic Research, Inc.
    26. Jeffrey M. Wooldridge, 2003. "Cluster-Sample Methods in Applied Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 133-138, May.
    27. McEwan, Patrick J., 2003. "Peer effects on student achievement: evidence from Chile," Economics of Education Review, Elsevier, vol. 22(2), pages 131-141, April.
    28. Victor Lavy & Olmo Silva & Felix Weinhardt, 2009. "The Good, the Bad and the Average: Evidence on the Scale and Nature of Ability Peer Effects in Schools," NBER Working Papers 15600, National Bureau of Economic Research, Inc.
    29. Foster, Gigi, 2006. "It's not your peers, and it's not your friends: Some progress toward understanding the educational peer effect mechanism," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1455-1475, September.
    30. Dills, Angela K., 2005. "Does cream-skimming curdle the milk? A study of peer effects," Economics of Education Review, Elsevier, vol. 24(1), pages 19-28, February.
    31. Boozer, Michael A. & Cacciola, Stephen E., 2001. "Inside the 'Black Box' of Project Star: Estimation of Peer Effects Using Experimental Data," Center Discussion Papers 28524, Yale University, Economic Growth Center.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alexandra de Gendre & Nicolás Salamanca, 2020. "On the Mechanisms of Ability Peer Effects," Melbourne Institute Working Paper Series wp2020n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. Vardardottir, Arna, 2013. "Peer effects and academic achievement: a regression discontinuity approach," Economics of Education Review, Elsevier, vol. 36(C), pages 108-121.
    3. Elizabeth U. Cascio & Diane Whitmore Schanzenbach, 2016. "First in the Class? Age and the Education Production Function," Education Finance and Policy, MIT Press, vol. 11(3), pages 225-250, Summer.
    4. Kang, Changhui, 2007. "Classroom peer effects and academic achievement: Quasi-randomization evidence from South Korea," Journal of Urban Economics, Elsevier, vol. 61(3), pages 458-495, May.
    5. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    6. Cicala, Steve & Fryer, Roland G. & Spenkuch, Jörg L., 2011. "A Roy Model of Social Interactions," MPRA Paper 29150, University Library of Munich, Germany.
    7. Zhang, Hongliang, 2016. "The role of testing noise in the estimation of achievement-based peer effects," Economics of Education Review, Elsevier, vol. 54(C), pages 113-123.
    8. Ryan Yeung & Phuong Nguyen-Hoang, 2016. "Endogenous peer effects: Fact or fiction?," The Journal of Educational Research, Taylor & Francis Journals, vol. 109(1), pages 37-49, January.
    9. Andreas Ammermueller & Jörn-Steffen Pischke, 2006. "Peer Effects in European Primary Schools: Evidence from PIRLS," CEE Discussion Papers 0065, Centre for the Economics of Education, LSE.
    10. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    11. Hideo Akabayashi & TIm Ruberg & Chizuru Shikishima & Jun Yamashita, 2023. "Education-Oriented and Care-Oriented Preschools:Implications on Child Development," Keio-IES Discussion Paper Series 2023-009, Institute for Economics Studies, Keio University.
    12. Salvador Contreras & Frank Badua & Mitchell Adrian, 2012. "Peer Effects on Undergraduate Business Student Performance," International Review of Economic Education, Economics Network, University of Bristol, vol. 11(1), pages 57-66.
    13. Fischer, Stefanie, 2017. "The downside of good peers: How classroom composition differentially affects men's and women's STEM persistence," Labour Economics, Elsevier, vol. 46(C), pages 211-226.
    14. Christian Helmers & Manasa Patnam, 2014. "Does the rotten child spoil his companion? Spatial peer effects among children in rural India," Quantitative Economics, Econometric Society, vol. 5, pages 67-121, March.
    15. Jeffrey Parker, 2012. "Does Living Near Classmates Help Introductory Economics Students Get Better Grades?," The Journal of Economic Education, Taylor & Francis Journals, vol. 43(2), pages 149-164, April.
    16. Akabayashi, Hideo & Ruberg, Tim & Shikishima, Chizuru & Yamashita, Jun, 2023. "Education-oriented and care-oriented preschools: Implications on child development," Labour Economics, Elsevier, vol. 84(C).
    17. Ahn, Tom & Trogdon, Justin G., 2017. "Peer delinquency and student achievement in middle school," Labour Economics, Elsevier, vol. 44(C), pages 192-217.
    18. Silvia Mendolia & Alfredo R Paloyo & Ian Walker, 2018. "Heterogeneous effects of high school peers on educational outcomes," Oxford Economic Papers, Oxford University Press, vol. 70(3), pages 613-634.
    19. Vincent Boucher & Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2014. "Do Peers Affect Student Achievement? Evidence From Canada Using Group Size Variation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 91-109, January.
    20. Gioia De Melo, 2011. "Peer effects identified through social networks. Evidence from Uruguayan schools," Department of Economics University of Siena 627, Department of Economics, University of Siena.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:isu:genstf:201301010800004458. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.