Pre-registration
Across US states and a cross-country panel of OECD and middle- income economies 1980-2020, higher occupational and business licensing burdens predict weaker entrepreneurship rates and lower intergenerational income mobility over long horizons. The pre- registered claim is that a one-standard-deviation increase in licensing burden is associated with at least a 3-percentage-point reduction in the share of children born to bottom-quintile parents who reach the top quintile, and with at least a 10% reduction in the firm-formation rate, after controlling for education, racial composition, and manufacturing share.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
Not supported if (a) the panel-FE coefficient on licensing burden is not negative and significant at p<0.05 on either mobility or firm formation, OR (b) the implied effect of a one-SD licensing increase on absolute upward mobility is less than 1.5 percentage points, OR (c) the coefficient flips to positive when state time trends are included (suggesting reverse causation: richer states regulate more). A public-interest / consumer-protection reading wins if licensing is positively associated with income or health outcomes.
formal test & threshold
test: panel_fe_licensing_burden_on_mobility_and_entrepreneurship threshold: panel_FE_beta(licensing → absolute_upward_mobility) < 0 at p<0.05 AND |effect_per_1sd_licensing_increase| >= 1.5 pp on mobility AND panel_FE_beta(licensing → firm_formation_rate) < 0 at p<0.05
Method
- Template
panel_fe- Fixed effects
state, year- Clustering
state- Sample
- 1 countries · 1980 – 2020
- Evidence type
- associational
US state-year panel with state and year FE. Identification from within-state changes in licensing prevalence (e.g. Arizona 2010s reform waves, California's steady expansion). Robustness: cross-sectional long-difference (1980 vs 2020); instrument using national occupational-licensing trend interacted with state baseline industry composition (Bartik- style). Secondary: international cross-country regression using OECD PMR entry-barrier sub-index as licensing proxy.
Data
| Variable | Source | Transform |
|---|---|---|
intergenerational_income_mobility outcome | academic:chetty_hendren_kline_saez_igmbtier 4 | level |
firm_formation_rate outcome | bls:business_dynamics_statistics_firm_birthstier 1 | per_1000_working_age |
self_employment_share outcome | bls:cps_self_employmenttier 1 | level |
occupational_licensing_burden_index treatment | academic:kleiner_krueger_occupational_licensing_state_paneltier 4 | level |
business_regulatory_burden treatment | fraser_efw:regulationtier 4 | level |
college_attainment_share control | us_census:acs_bachelor_degreetier 1 | level |
black_population_share control | us_census:decennial_racetier 1 | level |
manufacturing_employment_share control | bls:qcew_manufacturingtier 1 | level |
median_household_income control | us_census:acs_median_household_incometier 1 | log |
income_inequality_gini control | us_census:acs_ginitier 1 | level |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — licensing_burden_income_mobility
Verdict: INCONCLUSIVE_DATA_PENDING — no outcome variable loaded; missing: ['academic:chetty_hendren_kline_saez_igmb', 'bls:business_dynamics_statistics_firm_births', 'bls:cps_self_employment']
Pre-registration
- Claim: Across US states and a cross-country panel of OECD and middle- income economies 1980-2020, higher occupational and business licensing burdens predict weaker entrepreneurship rates and lower intergenerational income mobility over long horizons. The pre- registered claim is that a one-standard-deviation increase in licensing burden is associated with at least a 3-percentage-point reduction in the share of children born to bottom-quintile parents who reach the top quintile, and with at least a 10% reduction in the firm-formation rate, after controlling for education, racial composition, and manufacturing share.
- Falsification rule: Not supported if (a) the panel-FE coefficient on licensing burden is not negative and significant at p<0.05 on either mobility or firm formation, OR (b) the implied effect of a one-SD licensing increase on absolute upward mobility is less than 1.5 percentage points, OR (c) the coefficient flips to positive when state time trends are included (suggesting reverse causation: richer states regulate more). A public-interest / consumer-protection reading wins if licensing is positively associated with income or health outcomes.
- Falsification test: panel_fe_licensing_burden_on_mobility_and_entrepreneurship
Estimate
- Error: no outcome variable loaded; missing: ['academic:chetty_hendren_kline_saez_igmb', 'bls:business_dynamics_statistics_firm_births', 'bls:cps_self_employment']
Variables resolved
fraser_efw:regulation→ business_regulatory_burden (treatment, publisher=fraser_efw, n=4718)
Variables missing data
academic:chetty_hendren_kline_saez_igmb(outcome, name=intergenerational_income_mobility) — vintage not on diskbls:business_dynamics_statistics_firm_births(outcome, name=firm_formation_rate) — vintage not on diskbls:cps_self_employment(outcome, name=self_employment_share) — vintage not on diskacademic:kleiner_krueger_occupational_licensing_state_panel(treatment, name=occupational_licensing_burden_index) — vintage not on diskcensus:acs_bachelor_degree(controls, name=college_attainment_share) — vintage not on diskcensus:decennial_race(controls, name=black_population_share) — vintage not on diskbls:qcew_manufacturing(controls, name=manufacturing_employment_share) — vintage not on diskcensus:acs_median_household_income(controls, name=median_household_income) — vintage not on diskcensus:acs_gini(controls, name=income_inequality_gini) — vintage not on disk
Generated by scripts/run_panel_fe.py at 2026-06-29T17:54:30+00:00
Strongest opposing argument
Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.
Notes
Chetty et al. mobility data is available at commuting-zone level (1980-2012 birth cohorts). State-level aggregation is straightforward but loses precision. The cross-country extension is flagged as a secondary spec due to data availability.