Economist focused on monetary policy, financial markets, and macroeconometrics.

I study how monetary and fiscal policy affect exchange rates, inflation expectations, and yield curve dynamics—bridging academic rigor with policy relevance.

Bio

Fabio Gómez‑Rodríguez is an Assistant Professor of Economics at Lehigh University’s College of Business. He studies how monetary policy and financial markets interact, with a focus on exchange rate pass‑through, inflation expectations, and yield curve dynamics. Fabio also collaborates with central banks, applying econometric models to real‑world policy questions.

Extended bio

At Lehigh University, Fabio teaches graduate‑level econometrics in the Master of Applied Economics and PhD in Economics programs. His research lies at the intersection of macroeconometrics, monetary policy, and financial markets. He specializes in structural VAR models, functional time series analysis, and exchange rate pass‑through, with particular attention to small open economies such as Costa Rica.

His work examines how monetary and fiscal policy shocks shape inflation expectations, yield curve movements, and exchange rate dynamics. Fabio collaborates with the Central Bank of Costa Rica, contributing to policy‑oriented research on foreign exchange markets and policy transmission mechanisms. Current projects include applying advanced Bayesian econometric methods to large‑dimensional systems and exploring the interaction between systematic and unconditional exchange rate pass‑through.

Research

Research illustration
  • Exchange Rate Pass‑Through, Price Dollarization, and Monetary Policy: The Costa Rican Experience.
  • The Influence of Fiscal and Monetary Policies on the Shape of the Yield Curve. Link
  • The Effects of Economic Shocks on Heterogeneous Inflation Expectations. Link
  • An Endogenous Regime Switching Model for the Exchange Rate Pass‑Through Effect in Costa Rica. Link

More on research

Topical areas: monetary policy transmission, yield curve dynamics, inflation expectations, exchange‑rate pass‑through, structural VARs, Bayesian methods, and functional time series.

Teaching

Teaching in classroom
  • ECO 157 – Statistical Methods II. Topics: ANOVA, simple and multiple regression, time series analysis, and forecasting methods.
  • ECO 415 – Econometrics I. Empirical analysis using regression, plus challenges such as multicollinearity, heteroscedasticity, and autocorrelation; intro to simultaneous equation models.
  • Advising. Open to supervising theses on macroeconometrics, monetary policy, and financial markets.

Blog

Notebook and laptop

Completing the Missing Pieces: Using Functional Time Series to Reconstruct Inflation Expectations

In Costa Rica, there was a gap in the survey of inflation expectations between December 2020 and November 2021. We used functional time series (FTS) methods to reconstruct full distributions for the missing months—offering a more nuanced view than simple averages.