Research
I study whether presidential campaign visits causally increase local newspaper coverage during the 2000 U.S. election. Because visit timing and location are strategically chosen, naïve comparisons confound visit effects with underlying political salience and time-varying shocks. I implement a dynamic staggered Difference-in-Differences design using two-way fixed effects with county and day fixed effects, estimating event-time leads and lags within a five-day window around first visits. I explicitly assess violations of parallel trends, no anticipation, and spillover assumptions, and discuss recent critiques of staggered TWFE estimators under treatment effect heterogeneity. Across candidate-specific and pooled specifications, I find no robust evidence that visits increase local coverage; unstable pre-trends and small treated samples limit causal interpretation.