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Referencing and Academic Integrity for the LSESU Essay Competition: A 2026 Harvard-Style Citation Guide
Referencing is a marked criterion in the LSESU essay. This 2026 guide covers Harvard in-text citations, reference lists, and the competition rules on originality and AI use.
The LSESU Essay Competition Final-Month Plan: A Week-by-Week Revision Roadmap to 1 September 2026
With about six weeks to the 1 September 2026 deadline, this four-week revision roadmap turns your LSESU essay draft into a polished, marker-ready final submission.
The Final Edit: A Three-Pass Redraft and Pre-Submission Checklist for Your LSESU Essay (2026)
Your draft exists — now the marks are won in revision. A three-pass editing method (argument, evidence, line edit) plus the compliance checklist to run before you submit.
How Much Economic Theory Does the LSESU Essay Actually Need? An IB / A-Level Toolkit (2026)
You do not need university macro to compete. Which school-level economics tools fit the 2026 LSESU questions, and the three-move pattern for deploying any model in 1,500 words.
Starting the LSESU Essay in Mid-July: A 7-Week Late-Starter Plan (2026)
Seven weeks remain until the 1 September deadline. A realistic week-by-week plan for students starting the LSESU essay now, from question choice to submission.
Which of the 5 LSESU Essay Questions Should You Choose? A 2026 Decision Guide
You answer only ONE of the five 2026 LSESU essay questions. A four-test framework for choosing the prompt that fits your evidence, background, and appetite for competition.
Question 5 Deep-Dive: Gmeiner on Green Technology and Inequality (2026 LSESU Essay)
How to answer Question 5 of the 2026 LSESU essay on green technology and inequality: map the distributional channels, take a clear stance, and build a 25/25 argument.
Question 3 Deep-Dive: Silvana Tenreyro on AI, Jobs and Inequality (2026 LSESU Essay)
How to answer Question 3 of the 2026 LSESU Economics Essay Competition — Silvana Tenreyro on AI, unemployment and inequality. Why the real question is about distribution not job losses, which measures to evaluate, and the listicle trap to avoid.
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