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Panel Data and Fixed Effects

In: Demystifying Causal Inference

Author

Listed:
  • Vikram Dayal

    (Institute of Economic Growth)

  • Anand Murugesan

    (Central European University)

Abstract

We are all familiar with the aphorism, “The whole is greater than the sum of the parts,” and this principle aptly applies to panel data. In this context, panel data refers to the whole, while its two components, cross-sectional data and time-series data, form the parts. By having access to panel data, analysts gain the ability to tackle issues that cannot be achieved by using the two parts separately. In this chapter, we explore the capabilities of panel data in mitigating unobservable confounders, which often present challenges when addressing causal questions.

Suggested Citation

  • Vikram Dayal & Anand Murugesan, 2023. "Panel Data and Fixed Effects," Springer Books, in: Demystifying Causal Inference, chapter 0, pages 193-226, Springer.
    • Handle: RePEc:spr:sprchp:978-981-99-3905-3_10
    DOI: 10.1007/978-981-99-3905-3_10
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