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Mark W. Ehlert

Personal Details

First Name:Mark
Middle Name:W.
Last Name:Ehlert
Suffix:
RePEc Short-ID:peh22

Affiliation

Economic & Policy Analysis Research Center
Economics Department
University of Missouri

Columbia, Missouri (United States)
http://eparc.missouri.edu/
RePEc:edi:epumous (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Cory Koedel & Mark Ehlert & Eric Parsons & Michael Podgursky & P. Brett Xiang, 2014. "Selecting Growth Measures for School and Teacher Evaluations," Working Papers 1401, Department of Economics, University of Missouri.
  2. Cory Koedel & Mark Ehlert & Michael Podgursky & Eric Parsons, 2012. "Teacher Preparation Programs and Teacher Quality: Are There Real Differences Across Programs?," Working Papers 1204, Department of Economics, University of Missouri, revised 13 Jul 2012.

Articles

  1. James R. Harrington & José Muñoz & Bradley R. Curs & Mark Ehlert, 2016. "Examining the Impact of a Highly Targeted State Administered Merit Aid Program on Brain Drain: Evidence from a Regression Discontinuity Analysis of Missouri’s Bright Flight Program," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(4), pages 423-447, June.
  2. José Muñoz & James R. Harrington & Bradley R. Curs & Mark Ehlert, 2016. "Democratization and Diversion: The Effect of Missouri's A+ Schools Program on Postsecondary Enrollment," The Journal of Higher Education, Taylor & Francis Journals, vol. 87(6), pages 801-830, November.
  3. Cory Koedel & Eric Parsons & Michael Podgursky & Mark Ehlert, 2015. "Teacher Preparation Programs and Teacher Quality: Are There Real Differences Across Programs?," Education Finance and Policy, MIT Press, vol. 10(4), pages 508-534, October.

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. Cory Koedel & Mark Ehlert & Eric Parsons & Michael Podgursky & P. Brett Xiang, 2014. "Selecting Growth Measures for School and Teacher Evaluations," Working Papers 1401, Department of Economics, University of Missouri.

    Cited by:

    1. Cory Koedel & Jiaxi Li, 2016. "The Efficiency Implications Of Using Proportional Evaluations To Shape The Teaching Workforce," Contemporary Economic Policy, Western Economic Association International, vol. 34(1), pages 47-62, January.
    2. Cory Koedel & Mark Ehlert & Eric Parsons & Michael Podgursky, 2012. "Selecting Growth Measures for School and Teacher Evaluations," Working Papers 1210, Department of Economics, University of Missouri.
    3. Eric Parsons & Cory Koedel & Li Tan, 2018. "Accounting for Student Disadvantage in Value-Added Models," Working Papers 1813, Department of Economics, University of Missouri.
    4. Steinberg, Matthew P. & MacDonald, John M., 2019. "The effects of closing urban schools on students’ academic and behavioral outcomes: Evidence from Philadelphia," Economics of Education Review, Elsevier, vol. 69(C), pages 25-60.
    5. Matthew Johnson & Stephen Lipscomb & Brian Gill, 2013. "Sensitivity of Teacher Value-Added Estimates to Student and Peer Control Variables," Mathematica Policy Research Reports 3f875df699534c72b9e57c39d, Mathematica Policy Research.
    6. Katherine E. Castellano & Andrew D. Ho, 2015. "Practical Differences Among Aggregate-Level Conditional Status Metrics," Journal of Educational and Behavioral Statistics, , vol. 40(1), pages 35-68, February.
    7. Aedin Doris & Donal O'Neill & Olive Sweetman, 2019. "Good Schools or Good Students? The Importance of Selectivity for School Rankings," Economics Department Working Paper Series n293-19.pdf, Department of Economics, National University of Ireland - Maynooth.
    8. Brendan Houng & Moshe Justman, 2013. "Comparing Least-Squares Value-Added Analysis and Student Growth Percentile Analysis for Evaluating Student Progress and Estimating School Effects," Melbourne Institute Working Paper Series wp2013n07, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. Moshe Justman & Brendan Houng, 2013. "A Comparison Of Two Methods For Estimating School Effects And Tracking Student Progress From Standardized Test Scores," Working Papers 1316, Ben-Gurion University of the Negev, Department of Economics.
    10. Elias Walsh & Eric Isenberg, 2013. "How Does a Value-Added Model Compare to the Colorado Growth Model?," Mathematica Policy Research Reports e703eea3252e43d39fee791e5, Mathematica Policy Research.
    11. Andrew McEachin & Allison Atteberry, 2017. "The Impact of Summer Learning Loss on Measures of School Performance," Education Finance and Policy, MIT Press, vol. 12(4), pages 468-491, Fall.
    12. Susanna Loeb & Michael S. Christian & Heather Hough & Robert H. Meyer & Andrew B. Rice & Martin R. West, 2019. "School Differences in Social–Emotional Learning Gains: Findings From the First Large-Scale Panel Survey of Students," Journal of Educational and Behavioral Statistics, , vol. 44(5), pages 507-542, October.

  2. Cory Koedel & Mark Ehlert & Michael Podgursky & Eric Parsons, 2012. "Teacher Preparation Programs and Teacher Quality: Are There Real Differences Across Programs?," Working Papers 1204, Department of Economics, University of Missouri, revised 13 Jul 2012.

    Cited by:

    1. Adrien Bouguen, 2016. "Adjusting content to individual student needs: Further evidence from an in-service teacher training program," PSE-Ecole d'économie de Paris (Postprint) halshs-01510383, HAL.
    2. von Hippel, Paul T. & Bellows, Laura, 2018. "How much does teacher quality vary across teacher preparation programs? Reanalyses from six states," Economics of Education Review, Elsevier, vol. 64(C), pages 298-312.
    3. Antecol, Heather & Eren, Ozkan & Ozbeklik, Serkan, 2013. "The Effect of Teach for America on the Distribution of Student Achievement in Primary School: Evidence from a Randomized Experiment," IZA Discussion Papers 7296, Institute of Labor Economics (IZA).
    4. Goldhaber, Dan & Liddle, Stephanie & Theobald, Roddy, 2013. "The gateway to the profession: Assessing teacher preparation programs based on student achievement," Economics of Education Review, Elsevier, vol. 34(C), pages 29-44.
    5. von Hippel, Paul T. & Bellows, Laura & Osborne, Cynthia & Lincove, Jane Arnold & Mills, Nick, 2016. "Teacher quality differences between teacher preparation programs: How big? How reliable? Which programs are different?," Economics of Education Review, Elsevier, vol. 53(C), pages 31-45.
    6. James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Working Paper 1413, Economics Department, Queen's University.
    7. Gershenson, Seth, 2021. "Identifying and Producing Effective Teachers," IZA Discussion Papers 14096, Institute of Labor Economics (IZA).
    8. Olga Yanushkevichiene & Romanas Yanushkevichius & Marilena Aura Din, 2016. "Some Controversies On The Statistical Methods Used In The Educational Research," Romanian Economic Business Review, Romanian-American University, vol. 10(2), pages 275-284, December.
    9. Kata Mihaly & Daniel McCaffrey & Tim R. Sass & J. R. Lockwood, 2013. "Where You Come From or Where You Go? Distinguishing Between School Quality and the Effectiveness of Teacher Preparation Program Graduates," Education Finance and Policy, MIT Press, vol. 8(4), pages 459-493, October.
    10. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    11. Backes, Ben & Goldhaber, Dan & Cade, Whitney & Sullivan, Kate & Dodson, Melissa, 2018. "Can UTeach? Assessing the relative effectiveness of STEM teachers," Economics of Education Review, Elsevier, vol. 64(C), pages 184-198.

Articles

  1. James R. Harrington & José Muñoz & Bradley R. Curs & Mark Ehlert, 2016. "Examining the Impact of a Highly Targeted State Administered Merit Aid Program on Brain Drain: Evidence from a Regression Discontinuity Analysis of Missouri’s Bright Flight Program," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(4), pages 423-447, June.

    Cited by:

    1. David L. Sjoquist & John V. Winters, 2016. "The Effects of State Merit Aid Programs on Attendance at Elite Colleges," Southern Economic Journal, John Wiley & Sons, vol. 83(2), pages 527-549, October.
    2. Winters, John V., 2018. "In-State College Enrollment and Later Life Location Decisions," IZA Discussion Papers 12051, Institute of Labor Economics (IZA).
    3. Dennis A. Kramer & Justin C. Ortagus & T. Austin Lacy, 2018. "Tuition-Setting Authority and Broad-Based Merit Aid: The Effect of Policy Intersection on Pricing Strategies," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(4), pages 489-518, June.

  2. Cory Koedel & Eric Parsons & Michael Podgursky & Mark Ehlert, 2015. "Teacher Preparation Programs and Teacher Quality: Are There Real Differences Across Programs?," Education Finance and Policy, MIT Press, vol. 10(4), pages 508-534, October.
    See citations under working paper version above.

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 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-EDU: Education (3) 2012-04-17 2012-09-03 2014-01-10
  2. NEP-URE: Urban and Real Estate Economics (3) 2012-04-17 2012-09-03 2014-01-10
  3. NEP-LAB: Labour Economics (2) 2012-04-17 2012-09-03

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