Angrist and Pischke

Definition

Angrist and Pischke refer to the influential work of two economists, Joshua D. Angrist and Jörn-Steffen Pischke, who are known for their contributions to empirical economics and the development of methods for causal inference. Their ideas emphasize the importance of understanding and addressing issues like endogeneity and model specification, particularly in fixed effects models, while also advocating for robust replication and documentation practices in empirical research.

5 Must Know Facts For Your Next Test

1. Angrist and Pischke emphasize the need to understand the assumptions underlying econometric models to produce valid results.
2. Their work highlights common pitfalls in empirical research, such as omitted variable bias and measurement error.
3. They advocate for using natural experiments and instrumental variables as methods to tackle endogeneity.
4. The authors stress that good documentation practices are essential for replication, ensuring that findings can be verified by other researchers.
5. Their book 'Mostly Harmless Econometrics' is widely regarded as a practical guide for applied econometrics, bridging theory with real-world applications.

Review Questions

• How do Angrist and Pischke address the issue of endogeneity in their work, and what are some methods they recommend?
  • Angrist and Pischke tackle endogeneity by emphasizing its impact on causal inference in econometric models. They recommend using natural experiments, which provide random-like variations that help isolate causal relationships. Additionally, they suggest employing instrumental variables as a way to account for unobserved confounding factors that may bias estimates. Their focus is on understanding how to effectively navigate these challenges to produce reliable empirical results.
• Discuss the role of fixed effects models in the context of Angrist and Pischke's contributions to econometrics.
  • Fixed effects models are a central focus in Angrist and Pischke's work as they allow researchers to control for unobserved heterogeneity by examining changes within the same unit over time. This approach is particularly useful in dealing with endogeneity by eliminating time-invariant characteristics that could bias estimates. They highlight how proper specification of fixed effects models can yield more accurate insights into causal relationships, thereby enhancing the robustness of empirical findings.
• Evaluate how Angrist and Pischke's emphasis on replication and documentation contributes to the credibility of empirical research in economics.
  • Angrist and Pischke place significant importance on replication and documentation as key components of credible empirical research. By advocating for thorough documentation of methodologies and data sources, they enable other researchers to replicate studies and verify findings. This focus on transparency helps build trust in economic research, as reproducibility confirms the robustness of results. Ultimately, their contributions foster a culture of rigor that is essential for advancing knowledge in economics.

Related terms

Endogeneity: A situation in econometrics where an explanatory variable is correlated with the error term, leading to biased and inconsistent estimates.

Causal Inference: The process of drawing conclusions about causal relationships from data, often using techniques that help isolate the effect of one variable on another.

Replication: The act of repeating a study or experiment to verify the results and ensure their reliability and validity.