Skill UI

This guide provides advanced methodological guidance for establishing causality and identifying policy effects within complex international macro datasets. It covers best practices for cross-country panel analyses, high-frequency policy surprise detection, crisis event studies, and structural modeling, ensuring that observed variation is rigorously linked to policy-relevant factors, respecting cross-country dependence and global shocks.

A comprehensive guide for researchers submitting to the IMF Economic Review (IMFER). It teaches authors how to anticipate the toughest, predictable critiques from international macroeconomic and policy referees—such as cross-country bias, policy overreach, and identification weaknesses. By pre-empting these objections, authors can significantly strengthen their manuscript structure before formal submission.

This package ensures full reproducibility for international macroeconomics research. It is designed for projects utilizing complex, multi-source, and often restricted data (such as IMF or central bank files). It mandates capturing the entire data lineage, pinning the execution environment (R, Python, Stata), and documenting access instructions, allowing any authorized replicator to rebuild the analysis from scratch.

A comprehensive toolkit designed for international macroeconomics research, ensuring that headline estimates are stable and reliable. It systematically tests the robustness of findings against common methodological threats, such as leaving out individual countries, changing sample periods, controlling for global common shocks, or varying estimation specifications. Essential for submitting high-impact academic papers.

A comprehensive guide for preparing high-impact tables and figures for IMF Economic Review (IMFER) manuscripts. It dictates best practices for communicating international macro results to a dual audience of econometric referees and policy makers. Key principles include transparent country coverage, replacing significance asterisks with confidence intervals, and expressing coefficients in policy-relevant units (e.g., % of GDP).

This guide provides expert advice on balancing rigorous theoretical modeling (like DSGE) with empirical data in international macroeconomics. It teaches authors how to appropriately "right-size" theoretical components, ensuring the model is disciplined by data and delivers policy-relevant counterfactuals, which is crucial for publication in top journals like IMFER.

This guide helps researchers assess the scope and fit of their international macro-finance topics for the IMF Economic Review (IMFER). It emphasizes the necessity of linking rigorous academic findings to explicit, global policy relevance, especially concerning open economies, capital flows, and global spillovers.

This router guides authors through the complex, multi-stage process of optimizing a manuscript for submission to the IMF Economic Review (IMFER). It systematically diagnoses bottlenecks—from topic selection and literature positioning to model robustness and rebuttal strategy—ensuring the paper meets the high standards of international macroeconomics and policy relevance.

A comprehensive guide for constructing and validating cross-country and time-series panel data in international macro-finance. It addresses common pitfalls in measurement choices (e.g., gross vs. net flows, USD vs. NEER), sample period justification (e.g., GFC, ZLB), and frequency mismatch, ensuring methodological rigor required by top-tier journals.

A comprehensive guide for establishing rigorous causal claims in international macro-finance. This skill addresses complex econometric challenges such as global confounders, policy endogeneity, and high-frequency surprises in open-economy models. It provides methodologies for cross-country panel data, capital control analysis, and advanced inference, ensuring results meet the high standards of top-tier international finance journals.

A comprehensive guide for authors submitting to international finance journals, detailing how to structure the online supplementary appendix and prepare the data-and-code deposit. It ensures that supporting material is organized, traceable to main claims, and that data accessibility statements are compliant with institutional policies, especially for restricted international data.

This skill helps researchers anticipate and pre-empt predictable objections from international finance referees, particularly for submissions to journals like JIMF. It guides authors on strengthening the paper's international scope, improving causal identification against global confounders, and ensuring robustness to standard field checks (e.g., global crises, US-centricity) *before* submission. It is a proactive checklist for optimizing manuscript quality.