PIPages
Labs

Rosen Valchev

Boston College, MA·Social Science

Many models of the economy assume that people and firms know the best decision and always make it. Real decisions are complex, and the best choice is often not obvious.

Fields

Social Science

Mathematics & Statistics

Computer Science

Topics

macroeconomics

bounded rationality

learning

Grants
1 known grant, through Jul 2028

What they work on

  1. Develop the theory of a learning framework in which decision makers choose how much costly reasoning to do and update beliefs from experienced outcomes, and analyze its short-run and long-run properties.
  2. Apply the framework to household consumption and saving in a model with diverse households, incomplete markets, durable and non-durable goods, and liquid and illiquid assets.
  3. Apply the framework to firm investment dynamics, including fixed investment costs, firm entry and exit, and borrowing constraints, to see how learning frictions change the economy's supply side.

More about the research

This collaborative project builds macroeconomic models in which households and firms learn their best behavior over time in two ways. One is reasoning: costly, introspective thinking. The other is experience: updating beliefs from the outcomes of past choices. The goal is more realistic models of the US economy, which could give new insight into how fiscal and monetary policy reach their targets.

Why it matters

Models in which households and firms learn through reasoning and experience could predict real economic behavior more accurately than full-information models. Policymakers could then better judge how government fiscal and monetary decisions affect household spending and saving and business investment.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Collaborative Research: Macroeconomic Modeling with Learning Through Reasoning and Experiences

NSF · Aug 2025 – Jul 2028

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Mikkel Plagborg-Moller

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Develop an inference procedure with formal coverage guarantees for visualizing multi-dimensional cross-sectional heterogeneity, such as differences in dynamic response profiles across groups of households or firms.

The school

Boston College: 11 labs on PI Pages, $96M a year on research, 161 research doctorates a year.

More about Boston College

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