Social Network Capital, Economic Mobility and Poverty Traps

The paper explores the role social network capital might play in facilitating poor agents’ escape from poverty traps. We model and simulate endogenous network formation among households heterogeneously endowed with both traditional and social network capital who make investment and technology choices over time in the absence of financial markets and faced with multiple production technologies featuring different fixed costs and returns. We show that social network capital can serve as either a complement to or a substitute for productive assets in facilitating some poor households’ escape from poverty. However, the voluntary nature of costly social network formation also creates both involuntary and voluntary exclusionary mechanisms that impede some poor households’ exit from poverty. Through numerical simulation, we show that the ameliorative potential of social networks therefore depends fundamentally on broader socioeconomic conditions, including the underlying wealth distribution in the economy, that determine the feasibility of social interactions and the net intertemporal benefits of social network formation. In some settings, targeted public transfers to the poor can crowd-in private resources by inducing new social links that the poor can exploit to escape from poverty.

Stochastic models of evidence accumulation in changing environments

Organisms and ecological groups accumulate evidence to make decisions. Classic experiments and theoretical studies have explored this process when the correct choice is fixed during each trial. However, we live in a constantly changing world. What effect does such impermanence have on classical results about decision making? To address this question we use sequential analysis to derive a tractable model of evidence accumulation when the correct option changes in time. Our analysis shows that ideal observers discount prior evidence at a rate determined by the volatility of the environment, and the dynamics of evidence accumulation is governed by the information gained over an average environmental epoch. A plausible neural implementation of an optimal observer in a changing environment shows that, in contrast to previous models, neural populations representing alternate choices are coupled through excitation. Our work builds a bridge between statistical decision making in volatile environments and stochastic nonlinear dynamics.Comment: 26 pages, 7 figure

Social Capital in the creation of Human Capital and Economic Growth: A Productive Consumption Approach

Social capital is a broad term containing the social networks and norms that generate shared understandings, trust and reciprocity, which underpin cooperation and collective action for mutual benefits, and creates the base for economic prosperity. This study deals with the formation of social capital through development of human capital that is created from productive consumption. This paper attempts to formalize incorporation of social capital (SK). This paper sets up a one-sector growth model, where the engine of growth is capital accumulation. The production function for final output is of the AK – type, which uses aggregate capital as single input. Aggregate capital is represented by a Cobb-Douglas index comprising three types capital. Human capital accumulation results from productive consumption and an increase in social capital is driven by the existence of human capital. The optimal growth rate of consumption is derived and it is shown that both human capital and social capital accumulation affect the equilibrium growth rate. Finally, paper presents some empirical evidence on social capital and economic growth

Social Network Capital, Economic Mobility and Poverty Traps

The paper explores the role social network capital might play in facilitating poor agents’ escape from poverty traps. We model endogenous network formation among households heterogeneously endowed with both traditional and social network capital who make investment and technology choices over time in the absence of financial markets and faced with multiple production technologies featuring different fixed costs and returns. We show that social network capital can serve as either a complement to or a substitute for productive assets in facilitating some poor households’ escape from poverty. However, the voluntary nature of costly social network formation also creates both involuntary and voluntary exclusionary mechanisms that impede some poor households’ efforts to exit poverty. The ameliorative potential of social networks therefore depends fundamentally on the underlying wealth distribution in the economy. In some settings, targeted public transfers to the poor can crowd-in private resources by inducing new social links that the poor can exploit to escape from poverty.social network capital; endogenous network formation; poverty traps; multiple equilibria; social isolation; social exclusion; crowding-in transfer

Social Capital in the creation of Human Capital and Economic Growth: A Productive Consumption Approach

Social capital is a broad term containing the social networks and norms that generate shared understandings, trust and reciprocity, which underpin cooperation and collective action for mutual benefits, and creates the base for economic prosperity. This study deals with the formation of social capital through development of human capital that is created from productive consumption. This paper attempts to formalize incorporation of social capital (SK). This paper sets up a one-sector growth model, where the engine of growth is capital accumulation. The production function for final output is of the AK – type, which uses aggregate capital as single input. Aggregate capital is represented by a Cobb-Douglas index comprising three types capital. Human capital accumulation results from productive consumption and an increase in social capital is driven by the existence of human capital. The optimal growth rate of consumption is derived and it is shown that both human capital and social capital accumulation affect the equilibrium growth rate. Finally, paper presents some empirical evidence on social capital and economic growth

Ageing as a price of cooperation and complexity: Self-organization of complex systems causes the ageing of constituent networks

The analysis of network topology and dynamics is increasingly used for the description of the structure, function and evolution of complex systems. Here we summarize key aspects of the evolvability and robustness of the hierarchical network-set of macromolecules, cells, organisms, and ecosystems. Listing the costs and benefits of cooperation as a necessary behaviour to build this network hierarchy, we outline the major hypothesis of the paper: the emergence of hierarchical complexity needs cooperation leading to the ageing of the constituent networks. Local cooperation in a stable environment may lead to over-optimization developing an ‘always-old’ network, which ages slowly, and dies in an apoptosis-like process. Global cooperation by exploring a rapidly changing environment may cause an occasional over-perturbation exhausting system-resources, causing rapid degradation, ageing and death of an otherwise ‘forever-young’ network in a necrosis-like process. Giving a number of examples we explain how local and global cooperation can both evoke and help successful ageing. Finally, we show how various forms of cooperation and consequent ageing emerge as key elements in all major steps of evolution from the formation of protocells to the establishment of the globalized, modern human society. Thus, ageing emerges as a price of complexity, which is going hand-in-hand with cooperation enhancing each other in a successful community