Skill UI

This guide helps polish academic manuscripts for high-impact policy journals (like JPAM). It focuses on achieving a clear, calibrated, and decision-oriented voice. Learn how to state policy implications without overclaiming, ensuring the findings are legible to a cross-disciplinary audience of economists, public policy scholars, and practitioners. It emphasizes matching claims to the actual statistical design and stating necessary scope conditions.

Provides comprehensive methodological guidelines for designing rigorous studies in public policy and marketing. The framework covers both prospective (e.g., realistic experiments) and retrospective (e.g., DiD, RDD) evaluation designs, emphasizing the necessity of establishing a strong counterfactual basis and ensuring policy relevance in data collection and analysis.

This guide outlines the rigorous open science and transparency requirements for submissions to the Journal of Personality and Social Psychology (JPSP). It details compliance with APA's TOP Guidelines at Level 2, mandating the proper disclosure of data, analysis code, and materials in a trusted repository. It also covers JARS reporting standards and guides authors on stating the preregistration status, ensuring research reproducibility.

A comprehensive guide for authors on creating APA 7th edition compliant tables and figures for scientific manuscripts, specifically tailored for the Journal of Personality and Social Psychology (JPSP). This resource emphasizes best practices for presenting multi-study data, including self-contained exhibits, cross-study summary tables, and internal meta-analysis forest plots, ensuring the findings are clear and impactful.

This skill guides researchers through the rigorous evaluation of social and personality psychology projects for submission to the Journal of Personality and Social Psychology (JPSP). It assesses whether a project possesses the necessary theoretical contribution, multi-study scope, and generative potential required by JPSP. Crucially, it helps determine the project's fit among the three specialized sections: Attitudes and Social Cognition (ASC), Interpersonal Relations and Group Processes (IRGP), and Personality Processes and Individual Differences (PPID).

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.

Provides a systematic guide for authors to assess if their academic manuscript aligns with a specific journal's scope. It helps authors determine the primary contribution—whether it should be framed as quantitative measurement, forecasting, or method application, rather than relying solely on causal inference, thereby guiding optimal revisions and submission routes.

Provides comprehensive guidelines for building and validating complex structural economic models, including CGE, IO, and Structural Decomposition. It emphasizes mandatory elements like explicit data sourcing, parameter calibration, macroeconomic closure rules, and scenario reproducibility to ensure models are not 'black boxes' and are scientifically rigorous.

This guide provides rigorous structural and stylistic guidelines for academic manuscripts in the field of risk and uncertainty. It instructs authors on how to precisely articulate decision models, quantify results with appropriate magnitude and precision, and structure arguments (Abstract, Introduction, Exposition) to meet the high standards of specialized journals, ensuring technical honesty and clarity.

A comprehensive guide detailing the mandatory replication package requirements for submitting empirical papers to the Journal of Urban Economics (JUE). It covers not only standard data and code deposits but also specialized techniques for handling complex geospatial data, geocoding pipelines, and proprietary/confidential restricted data paths to ensure maximum reproducibility.

A comprehensive guide on crafting convincing spatial exhibits for top-tier economics journals, especially those focusing on urban economics. This skill helps structure the necessary maps, regression tables, and event-study plots required to visually demonstrate the identifying variation (e.g., treatment boundaries, discontinuities). It focuses on best practices—such as reporting spatial standard errors and making maps do econometric work—rather than running the analysis itself.

This guide provides essential knowledge for selecting and defending data sources for advanced research in international economics. It emphasizes the critical need for data to possess a 'global attribute,' covering trade flows, Global Value Chains (GVC), and cross-country comparisons. Key data types include micro-level customs data (firm-product-destination), cross-country panels (WDI, IMF), and global input-output tables (WIOD/ADB MRIO) for GVC decomposition.