Econom 8473 Applied Econometrics Jun 2026

| Pitfall | Fix | |--------|-----| | Running regressions before plotting data | Start with scatter , hist , twoway line | | Ignoring missing data patterns | misstable summarize (Stata) / is.na() (R) | | Clustering standard errors incorrectly | Cluster at the level of treatment (e.g., state, firm, year) | | Over-controlling (bad controls) | Read Angrist & Pischke’s “Table 1” advice | | P-hacking specifications | Pre-specify your main model in a log before running it |

. Rather than a single final paper, this is a semester-long journey broken into five manageable steps: Selection of Topic : Choosing a real-world empirical setting. Data Acquisition : Sourcing and cleaning the relevant economic data. Model Specification econom 8473 applied econometrics

This article provides a comprehensive overview of what ECONOM 8473 entails, the core methodologies covered, the software skills required, and why mastering this content is non-negotiable for a career in data science, government policy, or financial analysis. | Pitfall | Fix | |--------|-----| | Running

Version control your code (even a local Git repo or save dated files like analysis_20250417.do ). You will need to re-run everything before the deadline. the core methodologies covered