Rupal Kamdar

Economics Ph.D. Candidate

University of California, Berkeley

I am available for interviews at the 2019 ASSA Meeting in Atlanta.

  • CV: [here]
  • E-mail:
  • Fields: macroeconomics, finance, and international economics

Job Market Paper:

The Inattentive Consumer: Sentiment and Expectations


Expectations play a crucial role in macroeconomic models and are commonly assumed to be full-information rational. However, information is vast, costly to obtain, and difficult to understand. Using survey data, I show that consumer beliefs about economic variables are driven by a single component: sentiment. When consumers are "optimistic" (have positive sentiment), they expect the economy to expand but inflation to decline. This correlation stands in contrast to recent U.S. experience. I explain these stylized facts with a model of a rationally inattentive consumer who faces uncertainty about fundamentals. To economize on information costs, the consumer chooses to reduce the dimensionality of the problem and obtain a signal that is a linear combination of fundamentals. Optimal information gathering results in covariances of beliefs that differ from the underlying data-generating process, and in particular leads to countercyclical price beliefs. Thus, monetary policies that aim to stimulate the economy by raising inflation expectations can have counterproductive consequences.


The Formation of Expectations, Inflation and the Phillips Curve (with Olivier Coibion and Yuriy Gorodnichenko), forthcoming (December 2018) at the Journal of Economic Literature

NBER Working Paper Version, PDF

This paper argues for a careful (re)consideration of the expectations formation process and a more systematic inclusion of real-time expectations through survey data in macroeconomic analyses. While the rational expectations revolution has allowed for great leaps in macroeconomic modeling, the surveyed empirical micro-evidence appears increasingly at odds with the full-information rational expectation assumption. We explore models of expectation formation that can potentially explain why and how survey data deviate from full-information rational expectations. Using the New Keynesian Phillips curve as an extensive case study, we demonstrate how incorporating survey data on inflation expectations can address a number of otherwise puzzling shortcomings that arise under the assumption of full-information rational expectations.


The Securitization and Solicited Refinancing Channel of Monetary Policy


I propose and document the “securitization and solicited refinancing channel,” a novel transmission mechanism of monetary policy and its heterogenous regional effects. The hypothesis is that mortgage lenders who sell their originations to Government Sponsored Enterprises (GSEs) or into securitizations no longer hold the loan's prepayment risk, and when rates drop, these lenders are more likely to signal to their borrowers to refinance, resulting in more borrower refinancing. A regression analysis finds that in response to decline in mortgage-backed security (MBS) yields, regions where originate-to-sell-or-securitize lenders operate see more refinancing activity than regions where originate-to-hold lenders operate. The findings have important implications for (i) the efficacy of policy to increase refinancing, lower mortgage payments, and stimulate demand, (ii) the distributional consequences of monetary policy, and (iii) how the GSEs and securitization may play a key role in the pass-through to the housing market.

Indian Demonetization and Real Effects (with Walker Ray and Mauricio Ulate)

On November 8, 2016, India demonetized all outstanding 500 and 1,000 rupee notes, removing 86% of cash in circulation. New 500 and 2,000 rupee notes were eventually issued, but the process of printing and distribution took longer than anticipated. Around 98% of transactions in India occur in cash, so demonetization had profound consequences, with long queues at banks, low daily limits on withdrawals of the new bills, and certain sectors of the economy slowing down significantly. The move was done for motives related to counterfeiting and money laundering and, as such, was unrelated to the state of the Indian macro-economy. Therefore Indian demonetization can serve as a unique natural experiment to study the real effects of monetary shocks, price rigidities and relative substitution patterns following a liquidity crunch. This project uses disaggregated data on prices and quantities of different consumption categories across regions in India to study these topics. Preliminary results on the prices of agricultural goods suggest that prices respond strongly and somewhat persistently to demonetization.