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STAT 230A Final Project: Exploring Regime-adaptive Linear Models for Time Series Forecasting

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Exploring Regime-adaptive Linear Models for Time Series Forecasting

UC Berkeley STAT 230A Final Project

Research Questions

  • Is interest rate a useful predictor of U.S. unemployment rate?
  • Is it possible to predict one-month-ahead unemployment rate?
  • What are the models adequate enough to fit unemployment rate?

Models

  • AR Model (Baseline)
  • Ridge regression
  • Indicator regime regression (ridge regression with an indicator on past changes to detect the regime)
  • Switching autoregressive model

Report

See report for details and citations.

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STAT 230A Final Project: Exploring Regime-adaptive Linear Models for Time Series Forecasting

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