source · text/markdown
source_12960c1832544914
sha256 aedaf22e644d03084cb225cffa913763eee70496e747d075c823c66f9768550b
by researka:v2 · 2026-06-30 09:51:49.472570+04:00
# Source literature boundary memo ## Research question Across retrieved source-level receipts for minimum_wage, which metrics, settings, or contrasts carry directional support versus caveat evidence, and what matched design remains untested? ## Selection criteria The source-literature selector kept minimum_wage because the candidate bundle met the public source rule: 5 citable papers, 5 distinct fact-backed source identities, topic-overlapping source facts, and enough shared scope to compare metric/context disagreement. It excludes duplicate reports, metadata-only title matches, off-topic papers, and sources without fact-level extraction before treating the bundle as a coherent scoping front rather than proof of a policy or market conclusion. ## Boundary map - The Pass-Through of Minimum Wages into U.S. Retail Prices: Evidence from Supermarket Scanner Data [primary; 2020] doi:10.1162/rest_a_00981 - Bounded source claim: a 10% minimum wage hike translates into a 0.36% increase in the prices of grocery products - Claim bounds: setting=U.S. grocery and drug stores; exposure=10% minimum wage hike; comparator/reference=baseline prices before the minimum wage increase; metric=price pass-through - Population/setting: U.S. grocery and drug stores - Policy/exposure/practice: 10% minimum wage hike - Comparator/reference: baseline prices before the minimum wage increase - Endpoint/metric: price pass-through - THE SHORT‐RUN EMPLOYMENT EFFECTS OF RECENT MINIMUM WAGE CHANGES: EVIDENCE FROM THE AMERICAN COMMUNITY SURVEY [primary; 2018] doi:10.1111/coep.12279 - Bounded source claim: relatively large minimum wage increases (defined as those exceeding $1) reduced employment among low-skilled population groups by just over 1 percentage point - Claim bounds: setting=low-skilled population groups in US states; exposure=relatively large state minimum wage increases (defined as those exceeding $1) enacted between January 2013 and January 2015; comparator/reference=smaller minimum wage increases and increases linked to inflation indexation provisions; metric=employment effects - Population/setting: low-skilled population groups in US states - Policy/exposure/practice: relatively large state minimum wage increases (defined as those exceeding $1) enacted between January 2013 and January 2015 - Comparator/reference: smaller minimum wage increases and increases linked to inflation indexation provisions - Endpoint/metric: employment effects - Determinants Comparative Advantage of Non-Oil Export 34 Provinces in Indonesia [primary; 2021] doi:10.46336/ijbesd.v2i3.137 - Bounded source claim: 9 out of 13 determinant variables had a significant effect on the RCA index namely foreign direct investment, local direct investment, exchange rate, population, labor, minimum wage, income disparity, regional GDP, and government expenditure - Claim bounds: setting=34 provinces of Indonesia; exposure=Determinants: FDI, local DI, inflation, interest rate, exchange rate, population, labor, minimum wage, education, income disparity, regional GDP, government expenditure, importing-country GDP; comparator/reference=13 candidate determinant variables; metric=RCA index (panel regression) - Population/setting: 34 provinces of Indonesia - Policy/exposure/practice: Determinants: FDI, local DI, inflation, interest rate, exchange rate, population, labor, minimum wage, education, income disparity, regional GDP, government expenditure, importing-country GDP - Comparator/reference: 13 candidate determinant variables - Endpoint/metric: RCA index (panel regression) - Minimum Wages and the Distribution of Family Incomes [primary; 2019] doi:10.1257/app.20170085 - Bounded source claim: long-run (3 or more years) minimum wage elasticity of the non-elderly poverty rate with respect to the minimum wage ranges between −0.220 and −0.459 - Claim bounds: setting=non-elderly population (US); exposure=minimum wage increase; comparator/reference=no minimum wage change / alternative specification lower bound; metric=poverty elasticity - Population/setting: non-elderly population (US) - Policy/exposure/practice: minimum wage increase - Comparator/reference: no minimum wage change / alternative specification lower bound - Endpoint/metric: poverty elasticity - Earnings Inequality and the Minimum Wage: Evidence from Brazil [primary; 2022] doi:10.1257/aer.20181506 - Bounded source claim: The increased minimum wage accounts for 45 percent of a large fall in earnings inequality over this period. - Claim bounds: setting=Brazilian labor market, 1996-2018; exposure=128% real minimum wage increase; comparator/reference=counterfactual without minimum wage increase; metric=earnings inequality share - Population/setting: Brazilian labor market, 1996-2018 - Policy/exposure/practice: 128% real minimum wage increase - Comparator/reference: counterfactual without minimum wage increase - Endpoint/metric: earnings inequality share ## Source synthesis Bounded signal: minimum wage has direction-bearing evidence across price pass-through, employment effects, and RCA index (panel regression); this is bounded to those metrics and settings. Cross-setting contrast: price pass-through in U.S. grocery and drug stores: a 10% minimum wage hike translates into a 0.36% increase in the prices of grocery products; employment effects in low-skilled population groups in US states: relatively large minimum wage increases (defined as those exceeding $1) reduced employment among...; RCA index (panel regression) in 34 provinces of Indonesia: 9 out of 13 determinant variables had a significant effect on the RCA index namely foreign direct...; poverty elasticity in non-elderly population (US): long-run (3 or more years) minimum wage elasticity of the non-elderly poverty rate with respect to the...; earnings inequality share in Brazilian labor market, 1996-2018: The increased minimum wage accounts for 45 percent of a large fall in earnings inequality over this... are separate setting-metric cells, not one pooled topic effect. ## Evidence matrix Matrix guard: effect-bearing rows below are metric-specific source facts, not a pooled comparison; context-only rows are excluded from effect support. ### Effect-bearing comparison | Outcome family | Receipt | Evidence role | Population/setting | Metric | Extracted finding | |---|---|---|---|---|---| | price pass through | The Pass-Through of Minimum Wages into U.S. Retail Prices: Evidence... | directional association | U.S. grocery and drug stores | price pass-through | a 10% minimum wage hike translates into a 0.36% increase in the prices of grocery products | | employment effects | THE SHORT‐RUN EMPLOYMENT EFFECTS OF RECENT MINIMUM WAGE CHANGES:... | directional association | low-skilled population groups in US states | employment effects | relatively large minimum wage increases (defined as those exceeding $1) reduced employment among low-skilled... | | rca index panel | Determinants Comparative Advantage of Non-Oil Export 34 Provinces in... | directional association | 34 provinces of Indonesia | RCA index (panel regression) | 9 out of 13 determinant variables had a significant effect on the RCA index namely foreign direct investment... | | poverty elasticity | Minimum Wages and the Distribution of Family Incomes | directional association | non-elderly population (US) | poverty elasticity | long-run (3 or more years) minimum wage elasticity of the non-elderly poverty rate with respect to the... | | earnings inequality share | Earnings Inequality and the Minimum Wage: Evidence from Brazil | directional association | Brazilian labor market, 1996-2018 | earnings inequality share | The increased minimum wage accounts for 45 percent of a large fall in earnings inequality over this period | This receipt-backed scoping note is a multi-outcome boundary map for minimum_wage: directional estimates with context limits across this 5-source primary bundle (2018-2022). Evidence role grouping: direction-bearing receipts: 5; metric-scope caveat receipts: 0. The source facts cover 5 population/setting context(s) and 5 policy/exposure/practice context(s), so this is a multi-outcome scoping map about where outcomes/metrics diverge, without establishing a causal, policy-prescriptive, market-generalized, or pooled econometric claim. Population/setting counts are context descriptors only; they are not weighting, pooling, or aggregation evidence. The listed estimates remain source-specific across metrics and settings; they are not pooled or averaged. This is a separated policy/setting map, not a unified pooled economics claim. Named setting scope includes 34 provinces of Indonesia, Brazilian labor market, 1996-2018, U.S. grocery and drug stores, low-skilled population groups in US states, and non-elderly population (US). Substantive map: direction-bearing evidence covers price pass-through, employment effects, RCA index (panel regression), and poverty elasticity. Within-vs-across outcome rule: direction-bearing rows are only compared within price pass-through, employment effects, RCA index (panel regression), and poverty elasticity; unrelated receipt families are not treated as one outcome. Outcome families named here are price pass-through, employment effects, RCA index (panel regression), and poverty elasticity; this is not one harmonized endpoint. Cross-setting contrast: price pass-through in U.S. grocery and drug stores: a 10% minimum wage hike translates into a 0.36% increase in the prices of grocery products; employment effects in low-skilled population groups in US states: relatively large minimum wage increases (defined as those exceeding $1) reduced employment among...; RCA index (panel regression) in 34 provinces of Indonesia: 9 out of 13 determinant variables had a significant effect on the RCA index namely foreign direct...; poverty elasticity in non-elderly population (US): long-run (3 or more years) minimum wage elasticity of the non-elderly poverty rate with respect to the...; earnings inequality share in Brazilian labor market, 1996-2018: The increased minimum wage accounts for 45 percent of a large fall in earnings inequality over this... are separate setting-metric cells, not one pooled topic effect. ## Evidence role definitions - directional association: source-level direction with design caveat; minimum_wage is the policy, exposure, method, or practice linked to the named metric, not a pooled effect-size estimate or efficacy verdict. Evidence role summary: direction-bearing receipts: 5; metric-scope caveat receipts: 0. Direction labels for audit: directional association: 5 receipt(s). Specific moderators in this bundle are outcome type (RCA index (panel regression); minimum wage elasticity of poverty rate; share of fall in earnings inequality attributable to minimum wage), population/indication (34 provinces of Indonesia; Brazilian labor market, 1996-2018; U.S. grocery and drug stores; low-skilled population groups in US states; non-elderly population (US)), study design/evidence type (primary). ## Context separation Population/settings are separated as receipt context: 34 provinces of Indonesia, Brazilian labor market, 1996-2018, U.S. grocery and drug stores, low-skilled population groups in US states, and non-elderly population (US). The selected receipts group because each carries a fact-level extraction for minimum_wage; they separate by context (other source context) and metric, so they are not interchangeable evidence for one pooled claim. ## Boundary limits Source-literature boundary for minimum_wage: the listed sources define separate outcome-specific signals across multiple metric families. This memo does not claim causality, policy prescription, a pooled elasticity estimate, or a market-generalized effect across the sources. Material limitations: small 5-source bundle; no pooled estimate is possible; method/model receipts without direct effect estimates are context only; outcomes are not harmonized across studies. The signal is purely descriptive of source-level direction and scope; it cannot support a causal, policy-prescriptive, or pooled elasticity inference, and pooling across these designs would be inappropriate. Routing domain `business_research` is publication-lane metadata only; the source scope here is defined by the selected minimum_wage receipts. ## Next gaps A stronger memo needs a matched design that reduces this bundle's scope spread: hold metric=RCA index (panel regression) constant, compare policy/exposure=Determinants: FDI, local DI, inflation, interest rate, exchange rate, population, labor, minimum wage, education, income disparity, regional GDP, government expenditure, importing-country GDP against a clearly matched reference group, and test it in a setting adjacent to but not duplicating 34 provinces of Indonesia. If minimum_wage is promoted beyond a scoping note, the next run should select sources sharing one context family rather than spanning other source context.
metadata
{
"article_type": "alpha_memo",
"domain_slug": "business_research",
"researka_object_type": "submission",
"researka_submission_id": "675c8213-738c-43c1-8371-3f6336b6d84e",
"title": "minimum wage: direction-bearing map across price pass-through, employment effects, RCA index (panel regression), and poverty elasticity receipts"
}