Richard M. H. Suen
Associate Professor in Economics
School of Business
University of Leicester
Lecicester LE1 7RH
United Kingdom
Phone: +44 (116) 252 2880
Email: mhs15@leicester.ac.uk
Curriculum Vitae  pdf   html
Research  

Diversity and Economic Performance in a Model with Progressive Taxation (with Wei Wang) 2nd round R&R at Economic Journal
First Version: 30th October, 2015.
This Version: 27th February, 2017.

Abstract: This paper examines the relation between diversity and long-term economic performance in a dynamic general equilibrium model where consumers differ
ex ante in time preference and labour productivity. We show that changing the distribution of these characteristics will affect the steady state by distorting the
composition of aggregate labour supply. The exact nature of this effect depends on the shape of the individual labour supply function. Changing the distribution of
time preference will also affect the distribution of marginal tax rates across individuals. The aggregate outcome of this is determined by the concavity or convexity of
the marginal tax function.  



Research Policy and U.S. Economic Growth
First Version: August 14, 2013.

Abstract: This paper examines quantitatively the effects of R&D subsidy and government-financed basic research on U.S. economic growth and consumer welfare. To
achieve this, we develop an endogenous growth model which takes into account both public and private research investment, and the differences between basic and
non-basic research. A calibrated version of the model is able to replicate some important features of the U.S. economy over the period 1953-2009. Our model
suggests that government spending on basic research is an effective policy instrument to promote economic growth. Subsidizing private R&D, on the other hand, has
no effect on economic growth.



Concave Consumption Function and Precautionary Wealth Accumulation*

Abstract: This paper examines the theoretical foundations of precautionary saving behavior in a canonical life-cycle model where consumers face uninsurable
idiosyncratic labor income risk and borrowing constraints. We begin by characterizing the consumption function of individual consumers. We show that the
consumption function is concave when the utility function has strictly positive third derivative and the inverse of absolute prudence is a concave function. These
conditions encompass all HARA utility functions with strictly positive third derivative as special cases. We then show that when consumption function is concave, a
mean-preserving increase in income risks would encourage wealth accumulation at both the individual and aggregate levels.

* This paper was previously circulated under the title "Concave Consumption Function under Borrowing Constraints."


Technological Advance and the Growth in Health Care Spending

Abstract: Since 1950, the U.S. has experienced a significant expansion in health care spending and longevity. In this paper, we quantify the importance of medical
technology improvements and rising incomes in explaining these changes. To achieve this, we develop a dynamic general equilibrium model in which consumers face
idiosyncratic uncertainty in health. Both health care spending and life expectancy are endogenously determined. According to our model, medical technology
improvements and rising incomes can explain all of the increase in health care spending and more than 60% of the increase in life expectancy at age 25 in the United
States between 1950 and 2001.



Asset Bubbles in an Overlapping Generations Model with Endogenous Labor Supply (with Lisi Shi)
Economics Letters, vol. 123 (2), p.164-167, 2014.

Abstract: This short paper examines the effects of asset bubbles in an overlapping generations model with endogenous labor supply. We derive a set of conditions
under which asset bubbles will lead to an expansion in steady-state capital, investment, employment and output. We also provide a specific numerical example to
illustrate these results.



Time Preference and the Distributions of Wealth and Income
Economic Inquiry, vol. 52 (1), p. 364-381, 2014.

Working paper version
MATLAB Codes

Abstract: This paper examines the connection between time preference heterogeneity and economic inequality in a deterministic environment. Specifically, we extend
the standard neoclassical growth model to allow for (i) heterogeneity in consumers' discount rates, (ii) direct preferences for wealth, and (iii) human capital
formation. The second feature prevents the wealth distribution from collapsing into a degenerate distribution. The third feature generates a strong positive
correlation between earnings and capital income across consumers. A calibrated version of the model is able to generate patterns of wealth and income inequality
that are very similar to those observed in the United States.



A Quantitative Analysis of Suburbanization and the Diffusion of the Automobile*  
with Karen A. Kopecky
International Economic Review, vol. 51 (4), p. 1003-1037, 2010

Working paper version

Abstract: Suburbanization in the U.S. between 1910 and 1970 was concurrent with the rapid diffusion of the automobile. A circular city model is developed in order
to access quantitatively the contribution of automobiles and rising incomes to suburbanization. The model incorporates a number of driving forces of
suburbanization and car adoption, including falling automobile prices, rising real incomes, changing costs of traveling by car and with public transportation, and
urban population growth. According to the model, 60 percent of postwar (1940-1970) suburbanization can be explained by these factors. Rising real incomes and
falling automobile prices are shown to be the key drivers of suburbanization.

*This paper was previously circulated with the title “Suburbanization and the Automobile.”



Finite State Markov-Chain Approximations to Highly Persistent Processes
with Karen A. Kopecky   
Review of Economic Dynamics, vol. 13 (3), p. 701-714, 2010.

Longer version
Computer Codes

Abstract: The Rouwenhorst method of approximating stationary AR(1) processes has been overlooked by much of the literature despite having many desirable
properties unmatched by other methods. In particular, we prove that it can match the conditional and unconditional mean and variance, and the first-order
autocorrelation of any stationary AR(1) process. These properties make the Rouwenhorst method more reliable than others in approximating highly persistent
processes and generating accurate model solutions. To illustrate this, we compare the performances of the Rouwenhorst method and four others in solving the
stochastic growth model and an income fluctuation problem. We find that (i) the choice of approximation method can have a large impact on the computed model
solutions, and (ii) the Rouwenhorst method is more robust than others with respect to variation in the persistence of the process, the number of points used in the
discrete approximation and the procedure used to generate model statistics.  
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