Predicting Change in GDP of the United States
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May 10, 2020 - R
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gdp-forecasting
Here are 7 public repositories matching this topic...
Forecasting GDP using MIDAS regressions with mixed-frequency macroeconomic indicators; includes data preparation, model estimation, and evaluation.
python time-series econometrics forecasting gdp-forecasting mixed-frequency-data high-frequency-data midas-regression macroeconomic-forecasting
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Feb 1, 2026 - Jupyter Notebook
End-to-end predictive and econometric modeling with R, covering regression, classification, churn prediction, and GDP forecasting. Demonstrates expertise in EDA, feature engineering, model building, and statistical evaluation.
data-science machine-learning r regression econometrics classification predictive-modeling churn-analysis gdp-forecasting
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Sep 25, 2025 - R
A mixed-frequency dynamic factor model for real-time nowcasting of China’s GDP growth and its application to bond market timing.
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Jul 27, 2026 - Jupyter Notebook
Streamlit GDP dashboard powered by World Bank open data — country economic output visualisation, growth rate bar charts, regional aggregation, and CSV export.
python data-science machine-learning plotly pandas data-visualization economic-analysis streamlit gdp-forecasting macroeconomic-indicators
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Mar 15, 2026 - Python
End-to-End Python implementation of Shin (2026)'s evaluator-locked agentic loop for transparent empirical research. Combines LLM-driven specification search with immutable evaluation harnesses, penalized regression (peLASSO), and Diebold-Mariano testing on ECB forecast data. Addresses the "garden of forking paths" crisis in AI-driven economics.
time-series reproducible-research scikit-learn cross-validation lasso econometrics ridge-regression audit-trail forecast-combination gdp-forecasting prompt-engineering diebold-mariano research-automation anthropic-claude llm-agents agentic-ai ecb-spf specification-search python-econometrics ast-sandboxing
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Mar 22, 2026 - Jupyter Notebook
World Bank GDP analytics dashboard — multi-country line comparison, PPP choropleth map, per-capita trends, income group aggregation, CAGR computation, and ARIMA projection.
python data-science machine-learning plotly pandas data-visualization economic-analysis streamlit gdp-forecasting macroeconomic-indicators
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Mar 15, 2026 - Python
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