中国版多因子模型的构建、检验与对比(原创;适合初学者;适合准备从stata转Python的科研人员)
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Updated
Apr 11, 2022 - Jupyter Notebook
中国版多因子模型的构建、检验与对比(原创;适合初学者;适合准备从stata转Python的科研人员)
By using dynamic panel models, I provide a macro-level understanding of the relationships between a country in conflict, not in conflict, and whether this affects the economic performance in the short and long-term.
Analyzed the impact of sovereign credit ratings on FDI and FPI across 8 emerging economies (2000–2024) using panel data econometrics. Applied fixed effects regression, incorporated CDS spreads as a market-based risk measure, and evaluated how sovereign creditworthiness influences foreign capital inflows and investor behavior.
Built a panel dataset of 350+ observations (2012–2023) and applied Fixed Effects, interaction, and dynamic lag models with clustered SEs to analyze infrastructure–growth dynamics across Indian states. Constructed standardized composite indices (physical, industrial, fiscal).
Volatilidade dos Royalties da Mineração e municípios mineradores
An analysis of the predominant factors in the increase of infant mortality across municipalities in Minas Gerais.
Statistical Investigation on the Relationship Between Climate Change, Food Availability, Agriculture Expansion, and Economic Growth in West Africa
This is brief summary of my new publication on convergence of banking efficiency in India, analyzing cost-to-income dynamics across banks using panel data and a structured analytical approach, highlighting convergence patterns even under limited sample conditions.
A group project meant to analyse and assess the balance between leverage growth and economic variables like size growth and market value growth for three different financial entities: commercial banks, financial services and Real Estate finance services.
Cross-national panel data analysis in R: a teaching walkthrough using the KOF Globalisation Index, V-Dem, and World Bank data to study the North-South divide (1998-2023)
Explaining three common methods for advanced quantitative data analysis and their implementation in R.
Applied econometrics in R: OLS, Probit & DiD (panel data) to estimate the impact of sales meetings on savings.
Meine Bachelorarbeit zum Thema "ICT-Investitionen und Arbeitslosigkeit in Wohlfahrtstaaten" im Studiengang Politikwissenschaften B.A. an der Goethe-Universität Frankfurt.
Dynamic Panel Data Estimation in Python
XTGLS2: Stata module to estimate General GLS estimator for large N, small T panel data models
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