13 May 2015 - 16 May 2015
Vienna, Austria

Workshop on Optimal Control and Dynamic Games

IIASA scientists from different programs and disciplines are presenting their research at this conference.

© Gunold | Dreamstime.com - University

© Gunold | Dreamstime.com - University

The 13th Viennese Workshop on Optimal Control and Dynamic Games brings together researchers in optimal control, dynamic games and nonlinear dynamical systems, as well as in economics, management, environment, population dynamics and social sciences. It covers topics such as the theory and numerical methods of optimal control, differential games, bifurcation theory, and a broad spectrum of applications involving dynamic economic models (including heterogeneous/distributed ones), dynamic models in population and health economics, economic geography, demography, epidemiology, social sciences, etc.

Several researchers from different programs at IIASA, including the World Population Program and Advanced Systems Analysis Program, are presenting their latest results and function as sessions chairs at this conference.

For more information please visit the event website.


Date: 13-16 May 2015

Location: Vienna University of Technology (TU Wien), Vienna, Austria



Wednesday, May 13

Session 7. Economics & management 1, 11:30 – 12:45
Revisiting the Lucas model  • Bernhard Skritek, Jesus Crespo Cuaresma, Klaus Prettner, Alexia Prskawetz, Elena Rovenskaya

Abstract: We revisit the influential economic growth model by Lucas, assuming that households optimally allocate consumption and education over the life-cycle given exogenous interest rates and wages. We thus present a simplified version of the model which abstracts from general equilibrium effects on market prices. We show that in such a partial equilibrium setting, the two state optimization problem (with physical capital and human capital as the state variables) can be decomposed into two single-state optimal control models. This transformation allows us to rigorously prove the existence of a singular solution along a balanced growth path. If a singular solution exists for the infinite time horizon, infinitely many optimal controls for the individual household problem exist. Different methods to overcome the problem of solution selection are discussed. Furthermore, we give an outlook of a Lucas model with heterogeneous agents.

Session 18. Economic growth and demographic change 1, 17:30 – 18:45, Chair: K. Prettner, A. Prskawetz

Thursday, May 14

Session 23. Economic growth and demographic change 2, Thursday, May 14, 10:00 – 11:15, Chair: K. Prettner, A. Prskawetz
Education trap? Differential effect of the pension system on retirement and years of education by life expectancy Miguel Sanchez-Romero, Alexia Prskawetz

Abstract: This paper investigates the differential impact that alternative pension systems have on the optimal years of schooling and retirement age for two groups of individuals that differ by their levels of life expectancy. Our analysis is implemented using a partial equilibrium model populated by overlapping generations, in which both groups –individuals with low and high life expectancy–interact through the pension system. Individuals endogenously choose their optimal number of years of schooling and retirement age through a life cycle model of labor supply. We complement our analysis by calibrating the model to the US pension system.
To separate out the interaction effects between the life expectancy and the pension system on the labor supply, we first analyze how an increasing gap between the life expectancy of both
population groups has on the optimal number of years of schooling and the retirement age, for a fix set of parametric components of the pension system. Second, we study the influence that changes in the parametric components of the pension system have on the optimal number of years of schooling and retirement age of each group, assuming that the gap between their levels of life expectancy remain constant.

Session 26. Infinite horizon optimal control and mathematical economics 1, 11:30 – 12:45
Adjoint variables and intertemporal prices in optimal economic growth problemsSergey M. Aseev

Abstract: The talk is devoted to properties of the adjoint variable in the relations of the Pontryagin maximum principle for a class of infinite-horizon optimal control problems arising in economic growth theory. Under appropriate growth or monotonicity assumptions the adjoint variable can be specified explicitly by a formula which is similar to the Cauchy formula for solutions of linear differential systems. We present an economic interpretation of the adjoint variable based on this formula and consider the formula’s relationships to different transversality conditions at infinity. 

Session 31. Dynamic games models of institutional change, 14:00 – 15:40
The political economy of labor market regulation with R&DTapio Palokangas

Abstract: This paper examines the political rationale for labor market regulation. In the high-tech sector, self-interested policy makers regulate local labor markets, R&D firms employ high-tech labor, oligopolists employ high-tech and ordinary labor and bargain over wages with the latter, and employer and labor lobbies influence the policy makers by their political contributions. The competitive sector employs only raw labor. It is shown that the empirically observed tendency to labor market deregulation results from decentralized labor market policy. With R&D, there is a welfare-maximizing number of jurisdictions with a different policy maker.

Session 36. Harvesting 1, 16:00 – 17:40
Existence of optimal stationary state of exploited population with asymmetric intraspecific competitionAlexey A. Davydov, Amer F. Nassar

Abstract: We consider dynamic of size structured population which is described by the equation
xt(t, l)+[g(l,E(t, l))x(t, l)]l = −[μ(l,E(t, l))+u(l)]x(t, l), where x(t, l) is the density of individuals of size l at the moment t; g and μ are growth and death rates, respectively, and u stays for exploitation intensity. The competition level E is of the asymmetric form E(t, l) = R L l (l)x(t, l)dl with some nonnegative integrable function on interval [0,L],L > 0, where we manage and exploit the population. The inflow of new individuals is defined by equation x(t, 0) = L R 0 r(l,E(t, l))x (t, l)dl + p0. with some ∈ (0, 1), birth rate r ≥ 0
and industrial population renewal p0 ≥ 0. We show that under natural assumption there exists a measurable exploitation intensity which provides the maximum profit for the stationary mode exploitation for various objective functions.

Saturday, May 16

Session 59. Stability and numerical methods for optimal control 3, 11:45 – 13:00
Program packages method for solving closed-loop guidance problem with incomplete information for linear systemsNikita V. Strelkovskii

Abstract: The method of program packages is a tool for identyfying the solvability conditions of guaranteed positional control problems when information on observed states is incomplete. In this talk a version of the method applicable to the problem of guaranteed positional guidance of a linear control system to a convex target set at a specified time is presented. The observed signal on the system’s states is assumed to be linear and the set of its admissible initial states is assumed to be finite. The method is based on clusterisation of the set of initial states according to the corresponding homogeneous signals and the moments of their separation from each other. A program package is a set of programs which are parametrized by the initial states and satisfying the ”non-anticipatory” condition. It is proved that the problem of guaranteed positional guidance is equivalent to the problem on the program package guidance which itself is equivalent to the program guidance of an extended linear control system to an extended convex target set. For the latter problem a solvability criterion which reduces the task to the solution of a finitedimensional optimization problem is produced using the separation theorem for convex sets. A procedure of construction the guiding program package and the corresponding guiding positional strategy which solves the given problem is described.

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Last edited: 07 May 2015


Alexia Fürnkranz-Prskawetz

Research Scholar

World Population

T +43(0) 2236 807 568

World Population Program

Human Capital and Economic Performance

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313