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Daniel Kreisman

Personal Details

First Name:Daniel
Middle Name:Michael
Last Name:Kreisman
Suffix:
RePEc Short-ID:pkr219
http://www.dkreisman.com
Department of Economics, Suite 529 Andrew Young School of Policy Studies Georgia State University P.O. Box 3992 Atlanta, GA 30302-3992

Affiliation

(95%) Department of Economics
Andrew Young School of Policy Studies
Georgia State University

Atlanta, Georgia (United States)
http://aysps.gsu.edu/econ
RePEc:edi:degsuus (more details at EDIRC)

(5%) Institute of Labor Economics (IZA)

Bonn, Germany
http://www.iza.org/
RePEc:edi:izaaade (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kreisman, Daniel & Smith, Jonathan & Arifin, Bondi, 2021. "Labor Market Signaling and the Value of College: Evidence from Resumes and the Truth," IZA Discussion Papers 14483, Institute of Labor Economics (IZA).
  2. Jones, Todd R. & Kreisman, Daniel & Rubenstein, Ross & Searcy, Cynthia & Bhatt, Rachana, 2020. "The Effects of Financial Aid Loss on Persistence and Graduation: A Multi-Dimensional Regression Discontinuity Approach," IZA Discussion Papers 13849, Institute of Labor Economics (IZA).
  3. Wes Austin & Garth Heutel & Daniel Kreisman, 2019. "School Bus Emissions, Student Health, and Academic Performance," NBER Working Papers 25641, National Bureau of Economic Research, Inc.
  4. James C. Cox & Daniel Kreisman & Susan Dynarski, 2018. "Designed to Fail: Effects of the Default Option and Information Complexity on Student Loan Repayment," NBER Working Papers 25258, National Bureau of Economic Research, Inc.
  5. Dynarski, Susan & Jacob, Brian A. & Kreisman, Daniel, 2018. "How Important Are Fixed Effects and Time Trends in Estimating Returns to Schooling? Evidence from a Replication of Jacobson, Lalonde and Sullivan, 2005," IZA Discussion Papers 11935, Institute of Labor Economics (IZA).
  6. Daniel Kreisman & Kevin Stange, 2017. "Vocational and Career Tech Education in American High Schools: The Value of Depth Over Breadth," NBER Working Papers 23851, National Bureau of Economic Research, Inc.

Articles

  1. Daniel Kreisman & Kevin Stange, 2020. "Vocational and Career Tech Education in American High Schools: The Value of Depth Over Breadth," Education Finance and Policy, MIT Press, vol. 15(1), pages 11-44, Winter.
  2. Cox, James C. & Kreisman, Daniel & Dynarski, Susan, 2020. "Designed to fail: Effects of the default option and information complexity on student loan repayment," Journal of Public Economics, Elsevier, vol. 192(C).
  3. Austin, Wes & Heutel, Garth & Kreisman, Daniel, 2019. "School bus emissions, student health and academic performance," Economics of Education Review, Elsevier, vol. 70(C), pages 109-126.
  4. Kreisman, Daniel & Steinberg, Matthew P., 2019. "The effect of increased funding on student achievement: Evidence from Texas's small district adjustment," Journal of Public Economics, Elsevier, vol. 176(C), pages 118-141.
  5. Susan Dynarski & Brian Jacob & Daniel Kreisman, 2018. "How important are fixed effects and time trends in estimating returns to schooling? Evidence from a replication of Jacobson, Lalonde, and Sullivan, 2005," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1098-1108, November.
  6. Daniel Kreisman, 2017. "The Next Needed Thing: The Impact of the Jeanes Fund on Black Schooling in the South, 1900–1930," Journal of Human Resources, University of Wisconsin Press, vol. 52(2), pages 573-620.
  7. Matthew P. Steinberg & Rand Quinn & Daniel Kreisman & J. Cameron Anglum, 2016. "Did Pennsylvania’s Statewide School Finance Reform Increase Education Spending or Provide Tax Relief?," National Tax Journal, National Tax Association;National Tax Journal, vol. 69(3), pages 545-582, September.
  8. Daniel Kreisman & Marcos A. Rangel, 2015. "On the Blurring of the Color Line: Wages and Employment for Black Males of Different Skin Tones," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 1-13, March.

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Susan Dynarski & Brian Jacob & Daniel Kreisman, 2018. "How important are fixed effects and time trends in estimating returns to schooling? Evidence from a replication of Jacobson, Lalonde, and Sullivan, 2005," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1098-1108, November.

    Mentioned in:

    1. How important are fixed effects and time trends in estimating returns to schooling? Evidence from a replication of Jacobson, Lalonde, and Sullivan, 2005 (Journal of Applied Econometrics 2018) in ReplicationWiki ()

Working papers

  1. Jones, Todd R. & Kreisman, Daniel & Rubenstein, Ross & Searcy, Cynthia & Bhatt, Rachana, 2020. "The Effects of Financial Aid Loss on Persistence and Graduation: A Multi-Dimensional Regression Discontinuity Approach," IZA Discussion Papers 13849, Institute of Labor Economics (IZA).

    Cited by:

    1. Minaya, Veronica & Agasisti, Tommaso & Bratti, Massimiliano, 2022. "When need meets merit: The effect of increasing merit requirements in need-based student aid," European Economic Review, Elsevier, vol. 146(C).

  2. Wes Austin & Garth Heutel & Daniel Kreisman, 2019. "School Bus Emissions, Student Health, and Academic Performance," NBER Working Papers 25641, National Bureau of Economic Research, Inc.

    Cited by:

    1. Komisarow, Sarah & Pakhtigian, Emily L., 2022. "Are power plant closures a breath of fresh air? Local air quality and school absences," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    2. Graff Zivin, Joshua & Liu, Tong & Song, Yingquan & Tang, Qu & Zhang, Peng, 2020. "The unintended impacts of agricultural fires: Human capital in China," Journal of Development Economics, Elsevier, vol. 147(C).
    3. Alexander, Diane & Schwandt, Hannes, 2019. "The Impact of Car Pollution on Infant and Child Health: Evidence from Emissions Cheating," CEPR Discussion Papers 13805, C.E.P.R. Discussion Papers.
    4. Michelle Marcus, 2021. "Pollution at schools and children's aerobic capacity," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3016-3031, December.
    5. Robert Kaestner & Cuiping Schiman & Jason M. Ward, 2020. "Education and Health Over the Life Cycle," NBER Working Papers 26836, National Bureau of Economic Research, Inc.
    6. Singh, Tejendra Pratap, 2022. "Beyond The Haze: Air Pollution and Student Absenteeism - Evidence from India," OSF Preprints pcva2, Center for Open Science.
    7. Rong, Peijun & Kwan, Mei-Po & Qin, Yaochen & Zheng, Zhicheng, 2022. "A review of research on low-carbon school trips and their implications for human-environment relationship," Journal of Transport Geography, Elsevier, vol. 99(C).
    8. Wes Austin & Stefano Carattini & John Gomez Mahecha & Michael Pesko, 2020. "Covid-19 Mortality and Contemporaneous Air Pollution," CESifo Working Paper Series 8609, CESifo.
    9. Singh, Tejendra Pratap & Visaria, Sujata, 2021. "Up in the Air: Air Pollution and Crime – Evidence from India," SocArXiv hs4xj, Center for Open Science.
    10. Apriesnig, Jenny L. & Manning, Dale T. & Suter, Jordan F. & Magzamen, Sheryl & Cross, Jennifer E., 2020. "Academic stars and Energy Stars, an assessment of student academic achievement and school building energy efficiency," Energy Policy, Elsevier, vol. 147(C).

  3. James C. Cox & Daniel Kreisman & Susan Dynarski, 2018. "Designed to Fail: Effects of the Default Option and Information Complexity on Student Loan Repayment," NBER Working Papers 25258, National Bureau of Economic Research, Inc.

    Cited by:

    1. De Neve, Jan-Emmanuel & Imbert, Clement & Spinnewijn, Johannes & Tsankova, Teodora & Luts, Maarten, 2020. "How to Improve Tax Compliance? Evidence from Population-wide Experiments in Belgium," CAGE Online Working Paper Series 458, Competitive Advantage in the Global Economy (CAGE).
    2. Philip Armour & Melanie A. Zaber, 2020. "Does Student Loan Forgiveness Drive Disability Application?," NBER Working Papers 26787, National Bureau of Economic Research, Inc.
    3. Yazan K. A. Migdadi & Ahmed A. Khalifa & Abdullah Al-Swidi & Abdulkarem I. Amhamed & Muftah H. El-Naas, 2022. "A Conceptual Framework of Customer Value Proposition of CCU-Formic Acid Product," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    4. Holger Mueller & Constantine Yannelis, 2022. "Increasing Enrollment in Income‐Driven Student Loan Repayment Plans: Evidence from the Navient Field Experiment," Journal of Finance, American Finance Association, vol. 77(1), pages 367-402, February.
    5. Abraham, Katharine G. & Filiz-Ozbay, Emel & Ozbay, Erkut Y. & Turner, Lesley J., 2020. "Framing effects, earnings expectations, and the design of student loan repayment schemes," Journal of Public Economics, Elsevier, vol. 183(C).
    6. Benjamin M. Marx & Lesley J. Turner, 2019. "Student Loan Choice Overload," NBER Working Papers 25905, National Bureau of Economic Research, Inc.
    7. Marx, Benjamin M. & Turner, Lesley J., 2020. "Paralysis by analysis? Effects of information on student loan take-up," Economics of Education Review, Elsevier, vol. 77(C).
    8. Behlen, Lars & Himmler, Oliver & Jaeckle, Robert, 2022. "Can defaults change behavior when post-intervention effort is required? Evidence from education," MPRA Paper 112962, University Library of Munich, Germany.
    9. Mangrum, Daniel, 2022. "Personal finance education mandates and student loan repayment," Journal of Financial Economics, Elsevier, vol. 146(1), pages 1-26.

  4. Dynarski, Susan & Jacob, Brian A. & Kreisman, Daniel, 2018. "How Important Are Fixed Effects and Time Trends in Estimating Returns to Schooling? Evidence from a Replication of Jacobson, Lalonde and Sullivan, 2005," IZA Discussion Papers 11935, Institute of Labor Economics (IZA).

    Cited by:

    1. Rüttenauer, Tobias & Ludwig, Volker, 2019. "Fixed Effects Individual Slopes: Accounting and Testing for Heterogeneous Effects in Panel Data or Other Multilevel Models," SocArXiv k4rnu, Center for Open Science.
    2. Celeste K. Carruthers & Christopher Jepsen, 2020. "Vocational Education: An International Perspective," CESifo Working Paper Series 8718, CESifo.
    3. Gaulke, Amanda P., 2022. "Returns to bachelor’s degree completion among stopouts," Economics of Education Review, Elsevier, vol. 86(C).
    4. Darolia, Rajeev & Mueser, Peter R. & Cronin, Jacob, 2020. "Labor Market Returns to a Prison GED," IZA Discussion Papers 13534, Institute of Labor Economics (IZA).
    5. Lauren Schudde & Meghan Shea, 2022. "Heterogeneity in the Returns to Credits for Public Two-Year College Entrants," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(2), pages 337-367, March.
    6. Gaulke, Amanda P., 2021. "Post-Schooling off-The-Job training and its benefits," Labour Economics, Elsevier, vol. 70(C).

  5. Daniel Kreisman & Kevin Stange, 2017. "Vocational and Career Tech Education in American High Schools: The Value of Depth Over Breadth," NBER Working Papers 23851, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
    2. Stephen Machin & Sandra McNally & Camille Terrier & Guglielmo Ventura, 2020. "Closing the Gap Between Vocational and General Education? Evidence from University Technical Colleges in England," CVER Research Papers 031, Centre for Vocational Education Research.
    3. Eric J. Brunner & Shaun Dougherty & Stephen L. Ross, 2019. "The Effects of Career and Technical Education: Evidence from the Connecticut Technical High School System," Working papers 2019-13, University of Connecticut, Department of Economics.
    4. Moriyasu, Ryosuke & Kobayashi, Toru, 2022. "Impact of career education on high school students’ occupational choice: Evidence from a cluster-randomized controlled trial," Japan and the World Economy, Elsevier, vol. 63(C).
    5. Celeste K. Carruthers & Christopher Jepsen, 2020. "Vocational Education: An International Perspective," CESifo Working Paper Series 8718, CESifo.
    6. Marianne Bertrand & Magne Mogstad & Jack Mountjoy, 2019. "Improving Educational Pathways to Social Mobility: Evidence from Norway’s “Reform 94”," NBER Working Papers 25679, National Bureau of Economic Research, Inc.
    7. Sönke Hendrik Matthewes & Guglielmo Ventura, 2022. "On Track to Success? Returns to Vocational Education Against Different Alternatives," CEPA Discussion Papers 58, Center for Economic Policy Analysis.
    8. De Groote, Olivier, 2019. "A dynamic model of effort choice in high school," TSE Working Papers 19-1002, Toulouse School of Economics (TSE), revised Oct 2022.
    9. Cowan, James & Goldhaber, Dan & Holzer, Harry J. & Naito, Natsumi & Xu, Zeyu, 2020. "Career and Technical Education in High School and Postsecondary Career Pathways in Washington State," IZA Discussion Papers 13817, Institute of Labor Economics (IZA).
    10. Leighton, Margaret & Speer, Jamin D., 2020. "Labor market returns to college major specificity," European Economic Review, Elsevier, vol. 128(C).
    11. Hemelt, Steven W. & Lenard, Matthew A. & Paeplow, Colleen G., 2019. "Building bridges to life after high school: Contemporary career academies and student outcomes," Economics of Education Review, Elsevier, vol. 68(C), pages 161-178.

Articles

  1. Daniel Kreisman & Kevin Stange, 2020. "Vocational and Career Tech Education in American High Schools: The Value of Depth Over Breadth," Education Finance and Policy, MIT Press, vol. 15(1), pages 11-44, Winter.
    See citations under working paper version above.
  2. Cox, James C. & Kreisman, Daniel & Dynarski, Susan, 2020. "Designed to fail: Effects of the default option and information complexity on student loan repayment," Journal of Public Economics, Elsevier, vol. 192(C).
    See citations under working paper version above.
  3. Austin, Wes & Heutel, Garth & Kreisman, Daniel, 2019. "School bus emissions, student health and academic performance," Economics of Education Review, Elsevier, vol. 70(C), pages 109-126.
    See citations under working paper version above.
  4. Kreisman, Daniel & Steinberg, Matthew P., 2019. "The effect of increased funding on student achievement: Evidence from Texas's small district adjustment," Journal of Public Economics, Elsevier, vol. 176(C), pages 118-141.

    Cited by:

    1. María Orduz, 2022. "Effect of educational spending on academic performance under different institutional arrangements," Documentos CEDE 020224, Universidad de los Andes – Facultad de Economía – CEDE.
    2. Brunner, Eric & Hoen, Ben & Hyman, Joshua, 2022. "School district revenue shocks, resource allocations, and student achievement: Evidence from the universe of U.S. wind energy installations," Journal of Public Economics, Elsevier, vol. 206(C).
    3. Thurston Domina & Deven Carlson & James Carter & Matthew Lenard & Andrew McEachin & Rachel Perera, 2021. "The Kids on the Bus: The Academic Consequences of Diversity‐Driven School Reassignments," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1197-1229, September.
    4. Vinopal, Katie & Morrissey, Taryn W., 2020. "Neighborhood disadvantage and children’s cognitive skill trajectories," Children and Youth Services Review, Elsevier, vol. 116(C).
    5. Dadon-Golan, Zehorit & BenDavid-Hadar, Iris & Klein, Joseph, 2019. "Revisiting educational (in)equity: Measuring educational Gini coefficients for Israeli high schools during the years 2001–2011," International Journal of Educational Development, Elsevier, vol. 70(C), pages 1-1.

  5. Susan Dynarski & Brian Jacob & Daniel Kreisman, 2018. "How important are fixed effects and time trends in estimating returns to schooling? Evidence from a replication of Jacobson, Lalonde, and Sullivan, 2005," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1098-1108, November. See citations under working paper version above.
  6. Daniel Kreisman, 2017. "The Next Needed Thing: The Impact of the Jeanes Fund on Black Schooling in the South, 1900–1930," Journal of Human Resources, University of Wisconsin Press, vol. 52(2), pages 573-620.

    Cited by:

    1. Stephan E. Maurer, 2018. "Oil discoveries and education spending in the Postbellum South," CEP Discussion Papers dp1526, Centre for Economic Performance, LSE.
    2. Maurer, Stephan E., 2019. "Oil discoveries and education provision in the Postbellum South," Economics of Education Review, Elsevier, vol. 73(C).
    3. Katherine Eriksson, 2015. "Access to Schooling and the Black-White Incarceration Gap in the Early 20th Century US South: Evidence from Rosenwald Schools," NBER Working Papers 21727, National Bureau of Economic Research, Inc.
    4. Kreisman, Daniel & Steinberg, Matthew P., 2019. "The effect of increased funding on student achievement: Evidence from Texas's small district adjustment," Journal of Public Economics, Elsevier, vol. 176(C), pages 118-141.

  7. Matthew P. Steinberg & Rand Quinn & Daniel Kreisman & J. Cameron Anglum, 2016. "Did Pennsylvania’s Statewide School Finance Reform Increase Education Spending or Provide Tax Relief?," National Tax Journal, National Tax Association;National Tax Journal, vol. 69(3), pages 545-582, September.

    Cited by:

    1. Kreisman, Daniel & Steinberg, Matthew P., 2019. "The effect of increased funding on student achievement: Evidence from Texas's small district adjustment," Journal of Public Economics, Elsevier, vol. 176(C), pages 118-141.

  8. Daniel Kreisman & Marcos A. Rangel, 2015. "On the Blurring of the Color Line: Wages and Employment for Black Males of Different Skin Tones," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 1-13, March.

    Cited by:

    1. Srikant Devaraj & Pankaj C. Patel, 2017. "Skin Tone and Self-Employment: is there an Intra-Group Variation among Blacks?," The Review of Black Political Economy, Springer;National Economic Association, vol. 44(1), pages 137-166, June.
    2. Srikant Devaraj & Narda R Quigley & Pankaj C Patel, 2018. "The effects of skin tone, height, and gender on earnings," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-22, January.
    3. Joanna Tyrowicz & Magdalena Smyk, 2017. "Wage inequality and structural change," GRAPE Working Papers 8, GRAPE Group for Research in Applied Economics.
    4. Cai, Zhengyu & Maguire, Karen & Winters, John V., 2019. "Who Benefits from Local Oil and Gas Employment? Labor Market Composition in the Oil and Gas Industry in Texas," IZA Discussion Papers 12349, Institute of Labor Economics (IZA).
    5. Tamar Kricheli Katz & Tali Regev & Shay Lavie & Haggai Porat & Ronen Avraham, 2020. "Those who tan and those who don’t: A natural experiment on colorism," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-14, July.
    6. Daniel Kreisman & Kevin Stange, 2020. "Vocational and Career Tech Education in American High Schools: The Value of Depth Over Breadth," Education Finance and Policy, MIT Press, vol. 15(1), pages 11-44, Winter.
    7. Brunori, Paolo & Hufe, Paul & Mahler, Daniel Gerszon, 2021. "The Roots of Inequality: Estimating Inequality of Opportunity from Regression Trees and Forests," IZA Discussion Papers 14689, Institute of Labor Economics (IZA).
    8. Manuel Hermosilla & Fernanda Gutiérrez-Navratil & Juan Prieto-Rodríguez, 2018. "Can Emerging Markets Tilt Global Product Design? Impacts of Chinese Colorism on Hollywood Castings," Marketing Science, INFORMS, vol. 37(3), pages 356-381, May.
    9. Marcos Rangel, 2015. "Is Parental Love Colorblind? Human Capital Accumulation within Mixed Families," The Review of Black Political Economy, Springer;National Economic Association, vol. 42(1), pages 57-86, June.
    10. Robert L. Reece, 2021. "The Gender of Colorism: Understanding the Intersection of Skin Tone and Gender Inequality," Journal of Economics, Race, and Policy, Springer, vol. 4(1), pages 47-55, March.
    11. JooHee Han, 2020. "Does Skin Tone Matter? Immigrant Mobility in the U.S. Labor Market," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 705-726, April.
    12. Mavisakalyan, Astghik, 2018. "Do employers reward physical attractiveness in transition countries?," Economics & Human Biology, Elsevier, vol. 28(C), pages 38-52.
    13. Yariv Fadlon & Sophie Tripp, 2015. "The gray area: high school dropout likelihood among skin tone levels of black males," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 2(2), pages 1-11.
    14. Cai, Zhengyu & Maguire, Karen & Winters, John V., 2019. "Who benefits from local oil and gas employment? Labor market composition in the oil and gas industry in Texas and the rest of the United States," Energy Economics, Elsevier, vol. 84(C).
    15. Astghik Mavisakalyan, 2016. "Looks matter: Attractiveness and employment in the former soviet union," Bankwest Curtin Economics Centre Working Paper series WP1604, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 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-EDU: Education (3) 2017-10-01 2020-11-23 2021-07-12. Author is listed
  2. NEP-URE: Urban & Real Estate Economics (3) 2017-10-01 2018-12-24 2019-03-18. Author is listed
  3. NEP-EXP: Experimental Economics (2) 2018-09-17 2018-12-17. Author is listed
  4. NEP-LMA: Labor Markets - Supply, Demand, & Wages (2) 2017-10-01 2021-07-12. Author is listed
  5. NEP-EFF: Efficiency & Productivity (1) 2018-12-24
  6. NEP-ENE: Energy Economics (1) 2019-03-18
  7. NEP-ENV: Environmental Economics (1) 2019-03-18
  8. NEP-HEA: Health Economics (1) 2019-03-18
  9. NEP-LAB: Labour Economics (1) 2018-12-17
  10. NEP-SEA: South East Asia (1) 2021-07-12
  11. NEP-TRE: Transport Economics (1) 2019-03-18

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