Reto Foellmi

Income Distribution and Demand-Induced Innovations

We introduce non-homothetic preferences into an innovation-based growth model and study how income and wealth inequality affect economic growth. We identify a (positive) price effect-where increasing inequality allows innovators to charge higher prices and (negative) market-size effects-with higher inequality implying smaller markets for new goods and/or a slower transition of new goods into mass markets. It turns out that price effects dominate market-size effects. We also show that a redistribution from the poor to the rich may be Pareto improving for low levels of inequality. Copyright 2006, Wiley-Blackwell.

Inequality, market power, and product diversity

We analyze a macroeconomic model of monopolistic competition in which consumers earn unequal incomes. When preferences are non-homothetic, the distribution of income affects equilibrium mark-ups and equilibrium product diversity.

The Macroeconomics of Model T

We study a model of growth and mass production. Firms undertake either product innovations that introduce new luxury goods for the rich; or process innovations that transform existing luxuries into mass products for the poor. A prototypical example for such a product cycle is the automobile. Initially, an exclusive product for the very rich, the automobile became affordable to the middle class after the introduction of Fords Model T, “the car that put America on wheels”. We present a model of non-homothetic preferences, in which the rich consume a wide range of exclusive high-quality products and the poor a more narrow range of low-quality mass products. In this framework, inequality affects the composition of RD and on the particular dimension of inequality (income gaps versus income concentration). Our model is sufficiently tractable to incorporate learning-by-doing, oligopolistic market structures, and different sources of knowledge spillovers.

Non-homothetic preferences, parallel imports and the extensive margin of international trade

We study international trade in a model where consumers have non-homothetic preferences and where household income restricts the extensive margin of consumption. In equilibrium, monopolistic producers set high (low) prices in rich (poor) countries but a threat of parallel trade restricts the scope of price discrimination between countries. The threat of parallel trade allows differences in per capita incomes to have a strong impact on the extensive margin of trade, whereas differences in population sizes have a weaker effect. We also show that the welfare gains from trade liberalization are biased towards rich countries. We extend our model to more than two countries; to unequal incomes within countries; and to more general specifications of non-homothetic preferences. Our basic results are robust to these extensions.

Volatile Top Income Shares in Switzerland? Reassessing the Evolution between 1981 and 2009

In the past twenty years, the share of top incomes in Switzerland has risen, while exhibiting large variations. Switzerland is similar to European countries for the top 1% but closer to the United States for higher top income groups. With the synthetic control method, we close a time gap in the tax data, exploiting the fact that Swiss cantons changed their tax system at different points in time. Using social security data, which cover all top labor incomes, we document the growing importance of labor compared to capital incomes among top income earners in Switzerland.

Inequality and Aggregate Savings in the Neoclassical Growth Model

Within the context of the neoclassical growth model I investigate the implications of (initial) endowment inequality when the rich have a higher marginal savings rate than the poor. More unequal societies grow faster in the transition process, and therefore exhibit a higher speed of convergence. Furthermore, there is divergence in consumption and lifetime wealth if the rich exhibit a higher intertemporal elasticity of substitution. Unlike the Solow-Stiglitz model, the steady state is always unique although the consumption function is concave.

Do Professionals Get It Right? Limited Attention and Risk‐taking Behaviour

Does information processing affect individual risk-taking behavior? In this paper, we provide evidence that professional athletes suffer from a left-digit bias when dealing with signals about differences in performance. Using data from the highly competitive field of World Cup alpine skiing for the period of 1992-2014, we show that athletes misinterpret actual differences in race times by focusing on the leftmost digit, resulting in increased risk-taking behavior. For the estimation of causal effects, we exploit the fact that tiny time differences can be attributed to random shocks. We link our findings to prior research in psychology and economics, suggesting that different ways of information processing can explain our results. In contrast to recent studies in the field of behavioral economics, we then argue that high stakes and individual experience can magnify behavioral biases.

CHAPTER ONE. Production and Distribution of Income in a Market Economy

This book looks at the distribution of income and wealth and the effects that this has on the macroeconomy, and vice versa. Is a more equal distribution of income beneficial or harmful for macroeconomic growth, and how does the distribution of wealth evolve in a market economy? Taking stock of results and methods developed in the context of the 1990s revival of growth theory, the authors focus on capital accumulation and long-run growth. They show how rigorous, optimization-based technical tools can be applied, beyond the representative-agent framework of analysis, to account for realistic market imperfections and for political-economic interactions. The treatment is thorough, yet accessible to students and nonspecialist economists, and it offers specialist readers a wide-ranging and innovative treatment of an increasingly important research field. The book follows a single analytical thread through a series of different growth models, allowing readers to appreciate their structure and crucial assumptions. This is particularly useful at a time when the literature on income distribution and growth has developed quickly and in several different directions, becoming difficult to overview.