Market Integration Demand and the Growth of Firms

All papers and comparison plots · Results JSON · Quarto source

7 of 7 registered specifications have estimates. Every registered specification appears below.

Jensen and Miller (2018), AER. https://doi.org/10.1257/aer.20161965

Data and estimation

Outcomes are divided by their unweighted source-sample standard deviation (ddof=1), before exclusions; they are not centered. Treatment adoption is the first observed treated period. Models share an eligible sample, fixed effects, controls and weights. Initially treated units, missing −1 baselines and unsupported untreated-outcome predictions are removed. For switching treatments, untreated rows after first adoption are removed. Exact counts and settings are in the JSON.

Static TWFE uses the treatment indicator. Dynamic TWFE omits event time −1. BJS/did2s fits untreated outcomes, then averages imputation residuals. Sun–Abraham estimates cohort-by-event-time effects. The three dynamic estimates share post-period aggregation weights. Event-study tails are unbinned. These are common-sample reruns, not Peter’s original estimator-specific sample and tail-binning rules.

The homogeneity test restricts identified cohort deviations at positive event times to zero; leads and event time 0 remain unrestricted. It is a homoskedastic nested-model F-test. Estimate intervals are separately cluster-robust, with the did2s two-stage correction. Large panels use algebraically equivalent sparse regressions; backend and validation results are recorded in JSON.

Adoption timing

Treatment adoption timing

S04-P001: seeded sample of 100 of 142 eligible units. Purple untreated; yellow treated; white unobserved. Calendar periods follow the configured time grid. Each specification uses its own full eligible sample.

Specification Status F_pvalue Static TWFE Dynamic TWFE BJS / did2s Sun–Abraham
S04-P001 estimated 0.5483 0.0006673 0.07033 0.08081 0.08218
S04-P002 estimated 0.03837 -0.2579 -0.7948 -0.8092 -0.7556
S04-P003 estimated 0.3223 -0.01403 -0.02212 -0.002312 0.0006006
S04-P004 estimated 0.02416 -0.2588 -0.7944 -0.8065 -0.7528
S04-P005 estimated 0.02482 -0.07256 -0.328 -0.3166 -0.3171
S04-P006 estimated 0.545 -0.004476 -0.06661 -0.05097 -0.0698
S04-P007 estimated 0.03174 -0.06456 -0.2983 -0.2863 -0.2892

Specifications

Open a specification for its estimates, event studies and homogeneity test. Plots display −10 through 10; JSON contains the full paths. Large-panel intervals are calculated over the displayed window.

S04-P001 · MI-T4-C1

Specification JSON · Configuration

Auditor Assessment

Source rows: 1,524; fitted rows: 1,522; units: 142; clusters: 142; treated cohorts: 2. Source outcome SD: 1.3435031.

method estimate se lower upper
Static TWFE 0.00066728 0.019253 -0.037394 0.038729
Dynamic TWFE 0.070332 0.035197 0.00075035 0.13991
BJS / did2s 0.080808 0.04111 -0.0004648 0.16208
Sun–Abraham 0.08218 0.040325 0.0024603 0.1619

Post-period weighting: observations. Homogeneity F(8, 1344) = 0.8618; p = 0.5483.

TWFE, imputation, saturated event studies and cohort deviations
S04-P002 · MI-T4-C2 · homogeneity rejected

Specification JSON · Configuration

Labor Value per Boat

Source rows: 1,521; fitted rows: 1,519; units: 142; clusters: 142; treated cohorts: 2. Source outcome SD: 150.75893.

method estimate se lower upper
Static TWFE -0.25794 0.095598 -0.44693 -0.068954
Dynamic TWFE -0.79476 0.082745 -0.95834 -0.63118
BJS / did2s -0.80923 0.068723 -0.94509 -0.67337
Sun–Abraham -0.75561 0.07117 -0.89631 -0.61491

Post-period weighting: observations. Homogeneity F(8, 1341) = 2.044; p = 0.03837.

TWFE, imputation, saturated event studies and cohort deviations
S04-P003 · MI-T4-C3

Specification JSON · Configuration

Material Value per Boat

Source rows: 1,524; fitted rows: 1,522; units: 142; clusters: 142; treated cohorts: 2. Source outcome SD: 16.516048.

method estimate se lower upper
Static TWFE -0.014032 0.086023 -0.18409 0.15603
Dynamic TWFE -0.022119 0.1135 -0.2465 0.20226
BJS / did2s -0.0023119 0.10841 -0.21663 0.21201
Sun–Abraham 0.00060062 0.12213 -0.24084 0.24204

Post-period weighting: observations. Homogeneity F(8, 1344) = 1.157; p = 0.3223.

TWFE, imputation, saturated event studies and cohort deviations
S04-P004 · MI-T4-C4 · homogeneity rejected

Specification JSON · Configuration

Variable Costs per Boat

Source rows: 1,521; fitted rows: 1,519; units: 142; clusters: 142; treated cohorts: 2. Source outcome SD: 151.34274.

method estimate se lower upper
Static TWFE -0.25883 0.097705 -0.45198 -0.065674
Dynamic TWFE -0.79443 0.08448 -0.96144 -0.62742
BJS / did2s -0.80646 0.069384 -0.94363 -0.6693
Sun–Abraham -0.7528 0.071381 -0.89391 -0.61168

Post-period weighting: observations. Homogeneity F(8, 1341) = 2.214; p = 0.02416.

TWFE, imputation, saturated event studies and cohort deviations
S04-P005 · MI-T4-C5 · homogeneity rejected

Specification JSON · Configuration

Labor Value per Boat-Year

Source rows: 1,521; fitted rows: 1,519; units: 142; clusters: 142; treated cohorts: 2. Source outcome SD: 89.445403.

method estimate se lower upper
Static TWFE -0.072562 0.038405 -0.14849 0.0033608
Dynamic TWFE -0.32798 0.044027 -0.41502 -0.24094
BJS / did2s -0.31659 0.039299 -0.39428 -0.2389
Sun–Abraham -0.31707 0.044627 -0.4053 -0.22885

Post-period weighting: observations. Homogeneity F(8, 1341) = 2.204; p = 0.02482.

TWFE, imputation, saturated event studies and cohort deviations
S04-P006 · MI-T4-C6

Specification JSON · Configuration

Material Value per Boat-Year

Source rows: 1,524; fitted rows: 1,522; units: 142; clusters: 142; treated cohorts: 2. Source outcome SD: 13.408358.

method estimate se lower upper
Static TWFE -0.0044757 0.036822 -0.07727 0.068319
Dynamic TWFE -0.066611 0.057654 -0.18059 0.047367
BJS / did2s -0.050967 0.050895 -0.15158 0.049649
Sun–Abraham -0.069799 0.061132 -0.19065 0.051056

Post-period weighting: observations. Homogeneity F(8, 1344) = 0.8657; p = 0.545.

TWFE, imputation, saturated event studies and cohort deviations
S04-P007 · MI-T4-C7 · homogeneity rejected

Specification JSON · Configuration

Variable Costs per Boat-Year

Source rows: 1,521; fitted rows: 1,519; units: 142; clusters: 142; treated cohorts: 2. Source outcome SD: 101.28059.

method estimate se lower upper
Static TWFE -0.06456 0.036263 -0.13625 0.00713
Dynamic TWFE -0.29834 0.043783 -0.38489 -0.21178
BJS / did2s -0.28631 0.038906 -0.36322 -0.2094
Sun–Abraham -0.2892 0.044483 -0.37714 -0.20126

Post-period weighting: observations. Homogeneity F(8, 1341) = 2.114; p = 0.03174.

TWFE, imputation, saturated event studies and cohort deviations

Reproduce

Code, configurations and environments · Generic Quarto template · Editable Jot template. Source datasets remain local. Run python templates/full_archive/run_archive.py, then python templates/full_archive/build_collection.py.