Modelling Social Dynamics (of Obesity) and Thresholds

This paper focuses on the dynamic aspects of individual behavior affected by its social embedding, either at large (society-wide norms or averages) or at a local neighborhood. The emphasis is on how initial conditions can affect the long run outcome and to derive, discuss and apply the conditions for such thresholds. For this purpose, intertemporal social pressure (from peers, from norms, or from fashions) is modelled in two different ways: (i) individual benefit is influenced by the possession of a stock (in the application: weight) and the society wide average, and (ii) individual benefits depend on a norm that follows its own motion, of course driven by agents’ behavior. The topical issue of obesity serves as motivation and corresponding models and examples are presented and analyzed.

[1]  T. C. Edens,et al.  Economic Growth , 1957, The Journal of Economic History.

[2]  Stephen Wolfram,et al.  A New Kind of Science , 2003, Artificial Life.

[3]  Franz Wirl,et al.  Persistent Cyclical Consumption , 1995 .

[4]  P. DeMarzo,et al.  Persuasion Bias, Social Influence, and Uni-Dimensional Opinions , 2001 .

[5]  Ulrich Schwalbe,et al.  Conventions, local interaction, and automata networks , 1996 .

[6]  Franz Wirl,et al.  History versus expectations: Increasing returns or social influence? , 2006 .

[7]  Raymond C Browning,et al.  Exploiting Social Networks to Mitigate the Obesity Epidemic , 2009, Obesity.

[8]  W. Arthur,et al.  Increasing Returns and Path Dependence in the Economy , 1996 .

[9]  Franz Wirl Stability and limit cycles in competitive equilibria subject to adjustment costs and dynamic spillovers , 2002 .

[10]  Franz Wirl,et al.  History dependence in concave economies , 2005 .

[11]  Karine Nyborg,et al.  An Economic Model of Moral Motivation , 2000 .

[12]  Cohen-Cole,et al.  Estimating peer effects on health in social networks : A response to , 2008 .

[13]  E. Glaeser,et al.  Advances in Economics and Econometrics: Nonmarket Interactions , 2003 .

[14]  J. Tirole,et al.  Incentives and Prosocial Behavior , 2004 .

[15]  Mary A. Burke,et al.  Social Dynamics of Obesity , 2006 .

[16]  Franz Wirl,et al.  Social Interactions within a Dynamic Competitive Economy , 2007 .

[17]  Geoffrey Heal,et al.  Optimal Growth with Intertemporally Dependent Preferences , 1973 .

[18]  Bruce Sacerdote,et al.  The Social Multiplier , 2002 .

[19]  Franz Wirl,et al.  Socio-economic typologies of bureaucratic corruption and implications , 1998 .

[20]  Paul Krugman,et al.  History versus Expectations , 1991 .

[21]  E. Glaeser,et al.  Non-Market Interactions , 2000 .

[22]  Jason M. Fletcher,et al.  Is Obesity Contagious? Social Networks vs. Environmental Factors in the Obesity Epidemic , 2008, Journal of Health Economics.

[23]  F. Wirl Stability and limit cycles in one-dimensional dynamic optimisations of competitive agents with a market externality , 1997 .

[24]  Andrew John,et al.  Coordinating Coordination Failures in Keynesian Models , 1988 .

[25]  George J. Mailath,et al.  The Social Context of Economic Decisions , 2002 .

[26]  Gustav Feichtinger,et al.  Cyclical Consumption Patterns and Rational Addiction , 1993 .

[27]  Kevin M. Murphy,et al.  A Theory of Rational Addiction , 1988, Journal of Political Economy.

[28]  W. Arthur Inductive Reasoning and Bounded Rationality , 1994 .

[29]  F. Wirl,et al.  Wealth Induced Multiple Equilibria in Small Open Economy Versions of the Ramsey Model , 2008 .

[30]  J. Lundgren,et al.  An Experimental Study of the Role of Weight Bias in Candidate Evaluation , 2010, Obesity.

[31]  N. Christakis,et al.  Estimating Peer Effects on Health in Social Networks , 2008, Journal of health economics.