Skill UI

A comprehensive guide to advanced econometric identification strategies required for high-stakes public finance research. Covers techniques like Regression Discontinuity Design (RDD), Difference-in-Differences (DiD), Bunching, and Instrumental Variables (IV). It stresses the need to defend policy-induced discontinuities and manage threats of endogeneity, improving the credibility of empirical claims.

A comprehensive methodological guide detailing high standards for causal inference in finance research, specifically tailored for top journals like RFS. It covers advanced techniques such as Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and asset-pricing identification, ensuring designs meet rigorous standards for exogenous variation and endogeneity control.

A comprehensive guide for authors addressing the rigorous identification requirements for industrial-organization (IO) manuscripts, particularly targeting top-tier journals like the RJE. It details structural and reduced-form modeling approaches for areas including demand, supply, entry, mergers, and auctions. The resource emphasizes defending endogeneity, selecting appropriate market-based instruments, utilizing modern econometric estimators (e.g., Callaway–Sant'Anna), and establishing clear causal links between variation and structural parameters.

A comprehensive guide for addressing endogeneity, selection bias, and reverse causality in empirical research, specifically tailored for top-tier journals. It details advanced econometric methods (DID, IV, PSM, Heckman) and outlines best practices for conducting rigorous robustness checks, ensuring that identified effects are genuinely causal, not merely correlated.

This comprehensive guide provides methodological frameworks for designing rigorous empirical studies in strategic management. It covers defining the sample, selecting the unit of analysis, validating key measures (performance and strategic choices), and critically, implementing robust identification designs (e.g., DID, IV, Fixed Effects) to address endogeneity and establish causal claims.

This guide provides a comprehensive framework for drafting a professional and persuasive response letter to academic journal reviewers following a major or minor revision (R&R). It details the precise structure, from addressing the editor to point-by-point rebuttals, emphasizing how to tackle core concerns like endogeneity and theoretical contribution with evidence, not just rhetoric.

This comprehensive guide walks authors through the rigorous academic review process, specifically referencing the Strategic Management Journal (SMJ). It teaches how to correctly interpret complex decision letters (e.g., Major Revision, Desk Reject), understand the roles of action editors and reviewers, and systematically identify critical concerns (such as contribution to theory or endogeneity). Use this skill when you need to structure a detailed revision plan and write a convincing rebuttal letter to a top-tier academic journal.

This comprehensive tool assesses the suitability of a manuscript for the Strategic Management Journal (SMJ). It guides authors through critical self-checks, focusing on the necessity of a clear contribution to strategy theory, the required level of empirical rigor (e.g., handling endogeneity), and ensuring the core focus remains on firm-level strategic decisions and performance outcomes. Essential for pre-submission refinement.

A comprehensive methodological guide for designing rigorous academic studies in accounting. It details advanced econometric techniques—including Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and experimental setups—to establish credible causal identification. Use this guide when your research challenge is solving endogeneity or isolating a specific economic channel from complex, non-random variables.