Dataset on PGA Tour tournament entry

Alegre, I. (Inés); Canela, M.A. (Miguel A.); Pastoriza, D. (David)

Authors:

Alegre, I. (Inés)

Canela, M.A. (Miguel A.)

Pastoriza, D. (David)

Keywords:

Self-selection
Tournaments
Momentum
Heuristics
PGA Tour
Golf

Issue Date:

15-Feb-2022

Publisher:

Elsevier

ISSN:

2352-3409

Editorial note:

This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.

Citation:

Alegre, I. (Inés); Canela, M.A. (Miguel A.); Pastoriza, D. (David). "Dataset on PGA Tour tournament entry". Data in Brief. 41, 2022-02-15, 107952

Abstract

This article describes a dataset that allows to explore the determinants and moderators of athletes’ decision to enter in tournaments endowed with a monetary prize. Specifically, the dataset contains variables that describe athlete's short-term momentum (i.e., performance streak in the tournaments recently entered) and long-term momentum (i.e., performance streak in the same tournament across seasons), which permits an in-depth analysis of how past performance trajectory drives self-selection into tournaments. The dataset consists of 54,915 self-selection decisions that golfers have taken over an eleven-year period (1996–2006) when deciding to participate in PGA Tour tournaments.

URI:

https://hdl.handle.net/10171/63290

DOI:

10.1016/j.dib.2022.107952

Appears in Collections:

DA - IESE - Artículos de revista

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