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Publications

by members of

Drexel University → LeBow College of Business

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. Find also a compilation of publications from alumni here.

This page is updated in the first days of each month.

| Working papers | Journal articles | Books | Chapters |

Working papers

2020

  1. S{i}la Ada & Nadia Abou Nabout & Elea McDonnell Feit, 2020, "Context information increases revenue in ad auctions: Evidence from a policy change," Papers, arXiv.org, number 2012.00840, Dec.

Journal articles

2024

  1. Ron Berman & Elea McDonnell Feit, 2024, "Latent Stratification for Incrementality Experiments," Marketing Science, INFORMS, volume 43, issue 4, pages 903-917, July, DOI: 10.1287/mksc.2022.0297.

2020

  1. Jung Ah Han & Elea McDonnell Feit & Shuba Srinivasan, 2020, "Can negative buzz increase awareness and purchase intent?," Marketing Letters, Springer, volume 31, issue 1, pages 89-104, March, DOI: 10.1007/s11002-019-09501-y.
  2. Fred Feinberg & Elizabeth Bruch & Michael Braun & Brett Hemenway Falk & Nina Fefferman & Elea McDonnell Feit & John Helveston & Daniel Larremore & Blakeley B. McShane & Alice Patania & Mario L. Small, 2020, "Choices in networks: a research framework," Marketing Letters, Springer, volume 31, issue 4, pages 349-359, December, DOI: 10.1007/s11002-020-09541-9.

2019

  1. Elea McDonnell Feit & Ron Berman, 2019, "Test & Roll: Profit-Maximizing A/B Tests," Marketing Science, INFORMS, volume 38, issue 6, pages 1038-1058, November, DOI: 10.1287/mksc.2019.1194.

2018

  1. Helveston, John Paul & Feit, Elea McDonnell & Michalek, Jeremy J., 2018, "Pooling stated and revealed preference data in the presence of RP endogeneity," Transportation Research Part B: Methodological, Elsevier, volume 109, issue C, pages 70-89, DOI: 10.1016/j.trb.2018.01.010.

2017

  1. Dotson, Jeffrey P. & Fan, Ruixue Rachel & Feit, Elea McDonnell & Oldham, Jeffrey D. & Yeh, Yi-Hsin, 2017, "Brand Attitudes and Search Engine Queries," Journal of Interactive Marketing, Elsevier, volume 37, issue C, pages 105-116, DOI: 10.1016/j.intmar.2016.10.002.

2016

  1. Haaf, C. Grace & Morrow, W. Ross & Azevedo, Inês M.L. & Feit, Elea McDonnell & Michalek, Jeremy J., 2016, "Forecasting light-duty vehicle demand using alternative-specific constants for endogeneity correction versus calibration," Transportation Research Part B: Methodological, Elsevier, volume 84, issue C, pages 182-210, DOI: 10.1016/j.trb.2015.11.012.

2015

  1. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015, "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, volume 73, issue C, pages 96-112, DOI: 10.1016/j.tra.2015.01.002.

Books

2020

  1. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Python for Marketing Research and Analytics," Springer Books, Springer, number 978-3-030-49720-0, ISBN: ARRAY(0x711366f8), DOI: 10.1007/978-3-030-49720-0.

Chapters

2023

  1. Dominik Papies & Peter Ebbes & Elea McDonnell Feit, 2023, "Endogeneity and Causal Inference in Marketing," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 8, in: Russell S Winer & Scott A Neslin, "THE HISTORY OF MARKETING SCIENCE".

2022

  1. Veronica Valli & Florian Stahl & Elea McDonnell Feit, 2022, "Field Experiments," Springer Books, Springer, in: Christian Homburg & Martin Klarmann & Arnd Vomberg, "Handbook of Market Research", DOI: 10.1007/978-3-319-57413-4_3.
  2. Elea McDonnell Feit & Eric T. Bradlow, 2022, "Fusion Modeling," Springer Books, Springer, in: Christian Homburg & Martin Klarmann & Arnd Vomberg, "Handbook of Market Research", DOI: 10.1007/978-3-319-57413-4_9.

2020

  1. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Welcome to Python," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_1.
  2. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Segmentation: Unsupervised Clustering Methods for Exploring Subpopulations," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_10.
  3. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Classification: Assigning Observations to Known Categories," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_11.
  4. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Conclusion," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_12.
  5. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "An Overview of Python," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_2.
  6. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Describing Data," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_3.
  7. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Relationships Between Continuous Variables," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_4.
  8. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Comparing Groups: Tables and Visualizations," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_5.
  9. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Comparing Groups: Statistical Tests," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_6.
  10. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Identifying Drivers of Outcomes: Linear Models," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_7.
  11. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Additional Linear Modeling Topics," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_8.
  12. Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020, "Reducing Data Complexity," Springer Books, Springer, chapter 0, "Python for Marketing Research and Analytics", DOI: 10.1007/978-3-030-49720-0_9.

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