Skill UI

This comprehensive guide details the rigorous identification and argumentation strategies required for high-level growth and dynamic macroeconomics research. It covers both empirical tracks (System GMM, IV, DID, RDD, addressing endogeneity) and theoretical tracks (justifying assumptions, proving existence, demonstrating generality). Essential for stress-testing manuscripts for specialized journals.

A comprehensive guide for authors submitting to highly demanding journals like JFE. It teaches authors how to anticipate and pre-empt common methodological objections (endogeneity, multiple testing, fragility) before submission, and how to strategically plan responses during the review process. This ensures the manuscript is robust and maximizes acceptance chances.

A comprehensive guide for stress-testing causal identification in empirical microeconometrics. It covers advanced methods like RCT, DID, RDD, and IV, emphasizing robustness checks, identifying selection bias, and structuring results for clear public policy interpretation in high-impact academic journals.

This guide provides a comprehensive strategy for authors responding to a "Revise and Resubmit" (R&R) decision, particularly for high-stakes journals. It details the structure of the rebuttal letter, including handling conflicting referee comments, performing necessary reconciliation with prior literature, and integrating rigorous sensitivity tests (e.g., comparative estimation, pre-trend analysis). It focuses on strategic communication and method validation.

This guide provides comprehensive, advanced econometric strategies for ensuring robust identification in international economics manuscripts, specifically for high-impact journals. It covers modern approaches for gravity models (using PPML), staggered trade-policy shocks (Callaway-Sant'Anna), shift-share analyses, and structural open-economy modeling. It helps authors stress-test their research designs against rigorous academic standards.

This guide provides a structured methodology for designing a comprehensive robustness suite for high-stakes academic papers, particularly in monetary economics and banking. Instead of running arbitrary checks, it maps diagnostic tests directly to named econometric threats (e.g., shock contamination, specification dependence, inference understatement, regime shifts), ensuring the credibility and rigor of empirical findings.

A comprehensive framework for conducting and structuring robustness checks in academic papers, particularly in econometrics and behavioral economics. It guides researchers on identifying specific threats to the core parameter (e.g., functional form dependence, incentive bias, sample selection) and organizing tests by threat, ensuring the findings are statistically reliable and withstand expert scrutiny.

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 comprehensive guide details the rigorous standards required to defend the identification of parameters, estimands, or causal effects in quantitative economic research. It provides specific, advanced methodologies and checklists for three major branches: structural modeling, empirical causal design (e.g., DID, IV, RDD), and experimental studies. It ensures the work meets the high quantitative bar of top-tier journals by demanding explicit data-to-object mapping and robust diagnostic testing.

A comprehensive war-gaming guide designed for authors preparing manuscripts for top-tier journals, such as QJE. It teaches how to anticipate hostile referee objections across different academic archetypes (e.g., identification hawks, 'so what?' skeptics) and proactively address them—both fundamentally and for robustness—before submission. This process stress-tests the paper's core claims, structure, and arguments, significantly boosting the chances of passing the initial desk-screen.

This comprehensive guide details advanced econometric methodologies required for rigorous causal inference studies. It covers how to defend both the causal identification strategy (DiD, RD, IV) and the quality of variables (handling measurement error, index construction). Learn to meet the stringent standards of top-tier journals by applying techniques like staggered DiD estimators, density testing, and attenuation correction.

This specialized router guides the entire manuscript development process for submissions to The Review of Economics and Statistics (REStat). It does not replace specialized skills but systematically directs users through the full research pipeline—from initial topic selection and causal identification to robustness testing, figure creation, and rebuttal strategy—ensuring a structured approach to applied econometrics research.