Tiêu đề 9.4. Single Matching Variables.pdf ✅

pacmann.io © 2022 – Pacmann AI 34 Matching Method: Single Matching Variable
pacmann.io © 2022 – Pacmann AI 35 Matching Methods ● There are various methods available for matching, starting with matching on a single variable to simplify the concept and highlight key ideas. ● Matching on a single variable is less common but helps separate essential concepts from more complex multivariate matching techniques.
pacmann.io © 2022 – Pacmann AI 36 Example - Defaulting on Credit Card Debt ● Dataset: 30,000 credit card holders in Taiwan in 2005, with monthly bills and repayment status from April to September (Lichman, 2013). ● Objective: Investigate the "stickiness" of credit problems by examining the impact of late payment in April on late payment in September. ● There may be a lot variables in back door, one relevant one to consider is the bill size in April, which could affect both April and September payment delays. ● Therefore, matching with single variable can performed based on the April bill. Our matching variable will be April bill
pacmann.io © 2022 – Pacmann AI 37 Choices in Single Variable Matching In performing our matching on a single variable, there will be some choices we’ll make along the way: ● Matching Criteria: Distance Matching or Propensity Score Matching ● Matching Process: Selecting matches or Constructing a matched weighted sample? a. If we’re selecting matches, how many? b. If we’re constructing a matched weighted sample, how will weights decay with distance?