Price Path Optimization

Price Path Optimization is a dynamic pricing model that determines the optimal sequence of prices over time to maximize revenue or profit, distinguishing itself by explicitly accounting for consumer expectations, product diffusion, and market segmentation in intertemporal pricing strategies such as skimming pricing.

25

Publications

2.4K

Citations

52

Authors

41

Institutions

Publications per year

2017–2026

1

Authors

52

  1. RC
    René Caldentey

    New York University, United States

    2 publications · 85 citations

    2

    h-index

  2. YL
    Ying Liu

    Hebei University, China

    2 publications · 85 citations

    2

    h-index

  3. IL
    Ilan Lobel

    New York University, United States

    2 publications · 85 citations

    2

    h-index

  4. PM
    Peter M. Kort

    Tilburg University, Netherlands

    1 publications · 19 citations

    1

    h-index

  5. DC
    David C. Ling

    University of Florida, United States

    1 publications · 10 citations

    1

    h-index

1–5 of 52

Venues

  1. Management Science

    5 publications · 1.1K citations

    5

    h-index

  2. Marketing Science

    2 publications · 454 citations

    2

    h-index

  3. The Bell Journal of Economics

    1 publications · 215 citations

    1

    h-index

  4. 1

    h-index

  5. American Economic Review

    1 publications · 59 citations

    1

    h-index

1–5