Abstract
We develop an agent-based macroeconomic model in which product innovation is the fundamental driver of growth and business cycle fluctuations. The model builds on a hedonic approach to the product space and product innovation developed in Georges (A hedonic approach to product innovation for agent-based macroeconomic modeling, 2011).
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Notes
- 1.
While we are working with a representative consumer in the present paper for convenience, it is a simple step in the agent-based modeling framework to relax that assumption and allow for idiosyncratic variation of consumer preferences.
- 2.
- 3.
This vector is associated with good i, and it is convenient to assume that the complementarities are independent across goods (i.e., that the vectors z-compi,k and z-compk,i are independent).
- 4.
Note that if ρ1 = 1, the number of viable products in the economy would be strongly limited by the number of hedonic elements, as in Lancaster, who employs a linear activity analysis to link goods and characteristics.
- 5.
Note that this introduces a (fractional) integer constraint on the consumer’s optimization and search problem. λ > 0 but need not be less than one.
- 6.
This weak form of preferential attachment supports specialization in the hedonic quality space.
- 7.
Each firm’s recent profits and recent R&D activity are (respectively) measured as exponentially weighted moving averages of its past profits and R&D activity.
- 8.
I.e., if πH > πL, then π1 = πH and π2 = πL, and firms with relatively low recent R&D activity switch R&D on with a probability that is greater the larger is the difference between π1 and π2.
- 9.
Process innovation that affects these parameters across firms and over time can easily be introduced.
- 10.
- 11.
We exclude other sources of business cycle fluctuations and growth from the model to focus on the role of product innovation .
- 12.
Below, we suppress the latter effect, standardizing productivity across firms in order to focus more directly on product innovation .
- 13.
- 14.
The number of firm in this simulation is small (1000), but can easily be scaled up to several million. Similarly the number of hedonic characteristics (50) can be increased easily (though in both cases, of course, at some computational cost).
- 15.
In the representative agent case, the multiplier for output is \({1\over \eta - 1}\), where η is the markup.
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Acknowledgements
I am grateful to participants at CEF 2015 and a referee for useful comments, suggestions, and discussions. All errors are mine.
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Appendix: Representative Agent Benchmark
Appendix: Representative Agent Benchmark
Consider the case in which all firms are identical and each starts with a 1/n share of the total market. Suppose further that all firms engage in R&D in every period and experience identical innovations over time.
In this case, the equal individual market shares will persist, since there is no reason for consumers to switch between firms with identical product qualities and identical prices. Further, there is a unique equilibrium for the real production and sales of consumer goods Y at which demand and supply are in balance. At this equilibrium, aggregate real activity depends on the markup η, the per firm overhead labor costs H and R, the wage rate W (for production workers), labor productivity A (for production workers), and the number of firms n. Specifically, at this equilibrium \(Y = ({1\over \eta -1}) \cdot {A\over W}\cdot (H+R) \cdot n\). See below for details. Further, this equilibrium is a steady state of the agent dynamics in the model and is locally stable under those dynamics. If, for example, firms all start with production less than steady state production, then since the markup η > 1, demand will be greater than production for each firm, and production will converge over time to the steady state equilibrium.
We can see this as follows. Since all firms are identical, they produce identical quantities q of their goods. Then total labor income is:
Each firm also charges an identical price p for its good, which is a markup η on marginal cost
and so produces and sells
units of its good.
These relationships yield the following steady state equilibrium value for (per firm) production.
We can see that ∂q ∗∕∂(H + R) > 0, ∂q ∗∕∂A > 0, ∂q ∗∕∂W < 0, and ∂q ∗∕∂η < 0. These are all demand driven. An increase in the cost of overhead labor (H or R) raises the incomes of overhead workers, raising AD and thus equilibrium output. An increase in labor productivity A will cause firms to lower their prices, raising aggregate demand and equilibrium output. Similarly an increase in the wage rate W of production workers or in the mark-up η will cause firms to raise their prices, lowering AD and equilibrium output.
Further, if in this representative agent case firms follow simple one period adaptive expectations for demand, then firm level output dynamics are given by:
Thus, given η > 1, the steady state equilibrium q ∗ is asymptotically stable.
Total market output in the steady state equilibrium is just
Clearly, this will be constant as long as there is no change in the parameters H, R, A, W, η and n. If we were to allow them to change, growth in the number of firms n or the productivity of production labor A would cause equilibrium total production Y ∗ to grow over time, while balanced growth in production wages W and labor productivity A would have no impact on equilibrium production. Note that, in the full heterogeneous agent model, while all of the parameters above are fixed, the fraction of firms adopting R&D investment varies endogenously, contributing to the disequilibrium dynamics of the model.
Importantly for the present paper, note that the representative agent steady state equilibrium production Y ∗ above is entirely independent of product quality . Improvements in product quality will, however, increase consumer utility, or equivalently, the quality adjusted value of total production at this equilibrium. Specifically, given the nested CES formulation of utility, if the magnitudes of all product characteristics grow at rate g due to innovation, then the growth rate of consumer utility will converge in the long run to g. If the magnitudes of different characteristics grow at different rates, the growth rate of utility will converge to the rate of growth of the fastest growing characteristic. All else equal, the long run growth path of utility will be lower in the latter case than in the former case.
It is also worth noting that, at the representative agent steady state equilibrium above, firms make zero profit. Revenues net of the cost of production labor are just great enough to cover all overhead labor costs. Once we move to the heterogeneous firm case, in the comparable steady state equilibrium, profits are distributed around zero across firms. Firms will vary as to R&D investment status, with firms who are not engaging in R&D investment saving overhead cost R per period. Firms will also vary with respect to demand shares (driven by product qualities which are themselves related to past investments in R&D ), and firms with relatively high demand shares are able to spread overhead cost over greater sales. Thus, for two firms with the same overhead cost (i.e., the same current R&D investment status), the firm with greater demand for its product will have higher profit, while for two firms with the same product demand shares, the one with the lower overhead cost (lower current R&D investment) will have higher profit. Firms that face chronic losses will eventually fail and be replaced.
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Georges, C. (2018). Product Innovation and Macroeconomic Dynamics. In: Chen, SH., Kao, YF., Venkatachalam, R., Du, YR. (eds) Complex Systems Modeling and Simulation in Economics and Finance. CEF 2015. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-99624-0_11
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