Skill UI

This guide provides an advanced framework for conducting rigorous causal inference and policy evaluation, essential for academic journals. It covers state-of-the-art methods including DiD, RDD, Synthetic Control, and experimental analysis. The core focus is moving beyond simple p-values to estimate effect magnitudes in tangible 'decision units' (e.g., dollars per household, percentage points). It mandates comprehensive stress-testing, including pre-trend checks, placebo outcomes, and detailed subgroup heterogeneity analysis, ensuring results are immediately actionable by regulators.

This guide provides a rigorous framework for advanced econometric modeling in quantitative economics. It covers time series, panel data, cointegration, and mixed-frequency techniques (VAR, VECM, GMM, MIDAS). It emphasizes proper model diagnostics, stationarity testing, and grounding models in specific data properties and economic contexts.

A comprehensive guide for researchers focusing on quantitative economic measurement, including TFP, efficiency analysis (DEA/SFA), and index construction. It emphasizes the necessity of methodological transparency, data traceability, reproducible calculations, and rigorous sensitivity testing to ensure the scientific validity of quantitative findings.

A detailed guide on establishing and reporting the necessary robustness and sensitivity analyses for manuscripts in quantitative economics and econometrics. It clarifies that the required robustness differs significantly from causal inference studies, emphasizing testing against variations in method choice, parameters, data scope, and sample periods. Provides structured methodologies for generating sensitivity matrices and discussing model stability.

This skill acts as a comprehensive router for manuscripts targeting the Journal of Urban Economics (JUE). It diagnoses the current stage of research—from initial topic selection and spatial identification to robustness testing, writing, and rebuttal. It ensures the paper addresses the core spatial-economic requirements necessary for high-impact urban economics publications, guiding researchers through the entire scholarly lifecycle.

This advanced analytical skill focuses on rigorously identifying and testing the specific transmission channels through which external shocks affect an economy. Essential for high-impact international economics research, it moves beyond descriptive mechanism narratives by focusing on testable proxies across trade, investment, finance, and expectation channels. It requires advanced econometrics (e.g., mediation analysis, sample splitting) and careful identification strategy to ensure causal claims are robust.

This guide teaches the rigorous method of stress-testing academic arguments by anticipating and addressing the strongest potential objections. It provides a structured framework for identifying weak premises, boundary cases, and constructing precise replies (rebuttal, concession, or acceptance of cost). Essential for advanced academic writing, especially in philosophy, to ensure your argument survives expert scrutiny.

This skill guides researchers in refining broad philosophical topics into sharply focused, significant, and defensible theses. It teaches the rigorous process of ensuring a proposed project meets high academic standards—specifically requiring a clear, debatable claim, relevance to live debates, and scope manageable within a defined length. Use this to pressure-test your ideas before committing to writing.

A comprehensive guide for academic researchers preparing submissions for top-tier Information Systems journals like MIS Quarterly. It helps validate if a research idea is genuinely IT-centric, assigns it to one of the four core IS traditions (Behavioral, Design Science, Economics, Organizational), and selects the optimal manuscript genre to ensure scope and fit for publication.

Provides a comprehensive methodology for evaluating mobile computing systems. It mandates rigorous, real-device testing, focusing on instrumenting energy consumption, thermal behavior, latency distribution (tails), and memory limits. This guide ensures academic submissions are credible, repeatable, and compare performance against robust, tuned baselines.

This guide provides a rigorous framework for conducting mechanism (mediation/moderation) and heterogeneity analyses for empirical research papers, particularly adhering to high academic standards. It helps researchers move beyond simple correlation to establish causal pathways ('why') and identify differential effects ('for whom') by incorporating theoretically grounded intermediate variables and performing sophisticated econometric tests like causal mediation and interaction effects.

A comprehensive academic guide for validating survey instruments. This resource details required standards for reliability (Cronbach's α, Composite Reliability), validity (AVE, Fornell-Larcker, HTMT), and diagnosing common method bias (CMV) in self-report studies. It outlines best practices for cross-cultural adaptation, pre-testing, and advanced statistical reporting necessary for high-impact academic publications.