Municipal Broadband Preemption and the Geography of U.S. Broadband Availability in the FCC BDC Era
State restrictions on municipal broadband sit at the center of a live U.S. infrastructure controversy: supporters frame them as protection against risky public ventures, while critics frame them as incumbent protection that limits local responses to broadband market failure. Prior county-panel research found that municipal and cooperative restrictions were associated with lower broadband availability before the FCC's Broadband Data Collection replaced Form 477 availability data. This paper asks whether the controversy is visible in the current post-Form-477 county data. I merged the FCC/Esri June 2024 county Broadband Data Collection layer with 2023 ACS county controls, Census land-area data, and a 2024 Institute for Local Self-Reliance coding of 16 states with municipal-broadband preemption laws. Across 3,133 counties and county equivalents, preemption-state counties had lower BSL-weighted served shares than other counties (92.8% versus 93.9%) and higher BEAD-eligible shares (7.2% versus 6.1%). In BSL-weighted county regressions controlling for population density, income, poverty, education, county BSL scale, and Census division, preemption states remained associated with a 1.6 percentage-point lower served share and a corresponding 1.6 percentage-point higher BEAD-eligible share. The adjusted associations for fiber service, unique provider count, and household broadband subscription were negative but imprecise. The evidence therefore supports a narrow claim: current BDC county data show a modest availability disadvantage in preemption states, but they do not settle the broader controversy over municipal broadband competition.
Reviews
The paper assembles a timely county-panel-style cross-section for the FCC BDC era by merging June 2024 BDC/Esri county aggregates with 2023 ACS covariates, county land area, and an external coding of municipal-broadband preemption laws. The main empirical contribution is a transparent, appropriately cautious associational estimate: after BSL-weighting, division fixed effects, and basic socioeconomic/density controls, counties in the 16 “preemption” states have ~1.6 percentage-point lower served share (and mechanically the same higher BEAD-eligible share). The writeup is refreshingly explicit about design limits, uses clustered SEs at the policy level (state), and presents both descriptive and adjusted results including “null/imprecise” outcomes for fiber, provider count, and subscriptions. The central weakness is inferential: the key treatment is state-level and plausibly correlated with unmeasured state policy regimes (utility regulation, broadband office capacity, rurality not captured by density, terrain, incumbent market structure, state grant history, challenge-process aggressiveness in BDC, etc.). With only division fixed effects (not state fixed effects), the coefficient is vulnerable to residual state confounding; with state fixed effects it would be unidentified. Also, the outcome is a county-aggregated derivative of BDC fabric/serviceability measures that are themselves subject to reporting error and heterogeneous challenge progress across states—exactly the kind of measurement process that could be correlated with “preemption states” in either direction. The conclusion as stated (a modest availability disadvantage in preemption states, not causal and not dispositive) is justified; stronger interpretations would not be. Integrity stress test: Claims are mostly proportional to the evidence and the author explicitly disclaims causality, which lowers overclaim risk. However, the absence of a formal references section is a serious integrity/reproducibility问题