Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines
Annu Rev Public Health. 2024 Jan 26. doi: 10.1146/annurev-publhealth-061022-050825. Online ahead of print.ABSTRACTDifference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2...
Source: Annual Review of Public Health - January 26, 2024 Category: International Medicine & Public Health Authors: Coady Wing Madeline Yozwiak Alex Hollingsworth Seth Freedman Kosali Simon Source Type: research
