DOI

10.17077/etd.2bg85sdu

Document Type

Dissertation

Date of Degree

Spring 2018

Degree Name

PhD (Doctor of Philosophy)

Degree In

Economics

First Advisor

Galvão, Antonio Carlos F.

First Committee Member

Castro, Luciano de

Second Committee Member

Poirier, Alexandre

Third Committee Member

Song, Suyong

Fourth Committee Member

Villamil, Anne

Abstract

This dissertation estimates the elasticity of intertemporal substitution (EIS) of consumption using the Nielsen Consumer Panel. The Nielsen Consumer Panel is built from transactional data that follows households in the United States and their grocery purchases from 2004 to 2014. Because of the transactional nature of the dataset, there is a low source of measurement error in consumption, and aggregation bias can be minimized. Due to changes in the economy during this timeframe, the data is examined for structural breaks. The data suggests evidence for two structural changes in the U.S. economy leading to three regimes. The first regime, 2004 to 2006, was a period of economic expansion, while the second regime, 2007 and 2008, was a period of recession. Lastly, during the third regime, 2009 to 2014, the economy exhibited quantitative easing.

Chapter 1 introduces the EIS and provides an overview of the literature. In Chapter 2, the EIS is estimated for each regime using expected utility with linearized Epstein-Zin preferences and by the use of fixed effects and instrumental variables. In order to estimate the EIS, consumption is aggregated weekly, and consumption growth is measured over a four-week time period in order to match four-week Treasury bills. This study adds to the literature by examining individual EIS during different periods of economic activity. With a more complete dataset that has less measurement error and aggregation bias than the existing literature, this study gives evidence of a small and negative EIS during a period of expansion, a small and positive EIS during a period of recession, and a large and positive EIS during quantitative easing.

Lastly, Chapter 3 extends Chapter 2 by assuming quantile utility preferences instead of the expected utility framework. The quantile EIS is estimated by the use of a smooth instrumental variables method of moments estimator. Estimates give evidence of heterogeneity of the EIS in the periods of expansion and quantitative easing. These quantile results can be used to inform the theory behind the EIS and quantile models of rational behavior.

Pages

x, 71 pages

Bibliography

Includes bibliographical references (pages 67-71).

Copyright

Copyright © 2018 Lance Cundy

Included in

Economics Commons

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