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While I follow the Lordan and Neumark analysis as closely as possible, a lack of cross area variation in the UK means that the identification strategies do diverge.","locator":"Introduction / Data, page 2","printedPageLabel":"2","pageIndex":2,"surface":"pdf_text_projection","quoteCheck":"matched","start":1660,"end":1918,"offsetUnit":"UTF-16"},{"id":"e3","segmentId":"p3","quote":"Throughout the analysis I consistently define low-skilled low-wage individuals as those who are working in the lowest-paid occupations, while also having low levels of education. I focus only on those born in the UK to circumvent the fact that immigration flows may cause the composition of this group to fluctuate over time. I calculate income for each occupation in each year, and based on this distribution only include in the analysis those in the bottom income quintile with a GCSE equivalent or less.","locator":"Methodology, page 3","printedPageLabel":"3","pageIndex":3,"surface":"pdf_text_projection","quoteCheck":"matched","start":794,"end":1300,"offsetUnit":"UTF-16"},{"id":"e4","segmentId":"p4","quote":"Our analysis initially focuses on the following specification RSHiat ¼ b 1 LogMWt þ Aa λ þ þ At γ þ Ii φ þ Xiat þ ε iat ð 3 Þ where LogMWt denotes the natural log of the minimum wage at time t adjusted to 2015 prices (see data section for how minimum wage is defined). Eq (3) includes area ( Aa ) and industry ( Ii ) fixed effects. It also includes area specific time trends ( At) . Standard errors are two-way clustered by area crossed by industry and year.","locator":"Methodology, page 4","printedPageLabel":"4","pageIndex":4,"surface":"pdf_text_projection","quoteCheck":"matched","start":2451,"end":2909,"offsetUnit":"UTF-16"},{"id":"e5","segmentId":"p5","quote":"EMPjiat ¼ b 1 ð RSHjiatLogMWat Þ þ b 2 RSHjiat þ TiSs γ þ Ii φ þ ε jiat ð 5 Þ In Eq (5) Emp is the probability that the j th person is employed in industry i , area a , at time t + 1. It is assigned zero if a person was unemployed in t +1. The sample consists of those low- skill low-wage workers employed in period t , and either employed or dis-employed in period t +1.","locator":"Methodology, page 5","printedPageLabel":"5","pageIndex":5,"surface":"pdf_text_projection","quoteCheck":"matched","start":2301,"end":2672,"offsetUnit":"UTF-16"},{"id":"e6","segmentId":"p6","quote":"The individual level analysis relies on the Longitudinal Labour Force Survey (LLFS), which contains a subset of individuals interviewed in the QLFS. In the LLFS respondents are inter- viewed five times in total–once every quarter for a year. In this analysis the first period is quar- ter 1 and the second is quarter 5.","locator":"Individual level analysis data / Results, page 6","printedPageLabel":"6","pageIndex":6,"surface":"pdf_text_projection","quoteCheck":"matched","start":692,"end":1011,"offsetUnit":"UTF-16"},{"id":"e7","segmentId":"p7","quote":"Table 2. Shares of employment analysis. (1) (2) Pooled Manufacturing Dependent Variable = Share of Automatable Employment MinWage -0.0112 -0.0288 (0.0012) (0.0027) N 4320 480","locator":"Table 2, page 7","printedPageLabel":"7","pageIndex":7,"surface":"pdf_text_projection","quoteCheck":"not_found","start":null,"end":null,"offsetUnit":"UTF-16"},{"id":"e8","segmentId":"p8","quote":"40 years old + Min Wage -0.0251 -0.0549 (0.0050) (0.0130) N 4320 480","locator":"Table 3, page 8","printedPageLabel":"8","pageIndex":8,"surface":"pdf_text_projection","quoteCheck":"not_found","start":null,"end":null,"offsetUnit":"UTF-16"},{"id":"e9","segmentId":"p9","quote":"From Table 5 Column (1), I find evidence of significant declines in the probability of remaining employed in the next period–and hence being dis-employed–for those who were previously in automatable jobs as compared with those in non-automatable jobs. Specifically, the estimates imply declines in the probability of employment, from a 10% minimum wage increase, of 0.19 percentage points, with declines specific to manufacturing being 0.28 percent- age points.","locator":"Results: Effects on remaining employed, page 9","printedPageLabel":"9","pageIndex":9,"surface":"pdf_text_projection","quoteCheck":"matched","start":2758,"end":3219,"offsetUnit":"UTF-16"},{"id":"e10","segmentId":"p10","quote":"The pooled estimates imply that minimum wage increases do decrease shares of hours for low-skilled low-wage workers in automatable employment significantly. For example, a 10% increase in the mini- mum wage causes a 0.04 percentage point decrease in the share of hours in automatable jobs done by low-skilled low-wage workers overall. The estimated declines in manufacturing are 0.19 percentage points.","locator":"Results: Hours effects, page 10","printedPageLabel":"10","pageIndex":10,"surface":"pdf_text_projection","quoteCheck":"matched","start":1732,"end":2134,"offsetUnit":"UTF-16"},{"id":"e11","segmentId":"p11","quote":"Table 5. Individual level estimates: Probability of being employed in the next period. (1) Pooled Full Sample Min Wage Automatable -0.0019 (0.0009) N 440614","locator":"Table 5, page 11","printedPageLabel":"11","pageIndex":11,"surface":"pdf_text_projection","quoteCheck":"not_found","start":null,"end":null,"offsetUnit":"UTF-16"},{"id":"e12","segmentId":"p12","quote":"Table 6. Hours based analysis. Pooled Dependent Variable = Share of Automatable Hours Min Wage -0.0037 (0.0009) N 4320","locator":"Table 6, page 12","printedPageLabel":"12","pageIndex":12,"surface":"pdf_text_projection","quoteCheck":"not_found","start":null,"end":null,"offsetUnit":"UTF-16"},{"id":"e13","segmentId":"p13","quote":"To explore this, similar to Lordan and Neumark [1] I re-esti- mate Eq 3 for the share of employment analysis and Eq 5 for the probability of remaining employed analysis for the period 2004 to 2017. The estimates are documented in Table 8 and it is notable that they are roughly double the size of those documented in Tables 2, 3 and 5","locator":"Contemporary analysis, page 13","printedPageLabel":"13","pageIndex":13,"surface":"pdf_text_projection","quoteCheck":"matched","start":1571,"end":1905,"offsetUnit":"UTF-16"},{"id":"e14","segmentId":"p14","quote":"Table 8. Contemporary analysis. (1) Pooled Dependent Variable = Share of Employment Min Wage -0.0131 (0.0039) N 2340","locator":"Table 8, page 14","printedPageLabel":"14","pageIndex":14,"surface":"pdf_text_projection","quoteCheck":"not_found","start":null,"end":null,"offsetUnit":"UTF-16"}],"coverage":{"inspectedSegments":["p1","p2","p3","p4","p5","p6","p7","p8","p9","p10","p11","p12","p13","p14","p15","p16"],"physicalPages":16,"admittedCharacters":54583,"nativePdfProvidedToModel":true,"visualValidation":"not_performed","findingLimit":24,"selection":"model_selected_findings","limitations":["Selected findings are not an exhaustive inventory. Publisher authority and semantic mappings are not established by this analysis.","Physical PDF page indices differ from printed page labels. Text order and table header/note association are not independently validated.","The native PDF is supplied to Gemini. 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Figure, scan and layout interpretations without matched text anchors remain unverified.","The draft presents a selective extraction of 5 core findings across employment shares, individual retention, hours, and contemporary sub-periods, and does not exhaustively tabulate every demographic and industry subgroup.","All numerical entries preserve exact signed values, precision, and parenthetical standard errors reported in the study tables.","All assignments are proposed. Matching quotations and tokens do not certify economic meaning, causal claims, independent support or compatibility for calculation.","Source bytes are request-scoped, not archived. Downloaded hashes and quotations do not guarantee future source recovery.","Findings and repeated specifications from one publication are potentially dependent. 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