Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

http://onemvweb.com/sources/sources/network_structure_social_capital.pdf

The Network Structure Of Social Capital

Organizations enter alliances with each other to access critical re‐sources, but they rely on information from the network of prior alli‐ances to determine with whom to cooperate. These new alliances modify the existing network, prompting an endogenous dynamic be‐tween organizational action and network structure that drives the emergence of interorganizational networks. Testing these ideas on alliances formed in three industries over nine years, this research shows that the probability of a new alliance between specific organi‐zations increases with their interdependence and also with their prior mutual alliances, common third parties, and joint centrality in the alliance network. The differentiation of the emerging network structure, however, mitigates the effect of interdependence and en‐hances the effect of joint centrality on new alliance formation.

/pdf/where-do-interorganizational-networks-come-from-61wwv7medx.pdf

Where Do Interorganizational Networks Come From

http://ivl.cns.iu.edu/km/pres/2009-zoss-links/2009-zoss-links-research-design/references/borgattifoster.pdf

The Network Paradigm in Organizational Research: A Review and Typology

Complex organizations exhibit surprising, nonlinear behavior. Although organization scientists have studied complex organizations for many years, a developing set of conceptual and computational tools makes possible new approaches to modeling nonlinear interactions within and between organizations. Complex adaptive system models represent a genuinely new way of simplifying the complex. They are characterized by four key elements: agents with schemata, self-organizing networks sustained by importing energy, coevolution to the edge of chaos, and system evolution based on recombination. New types of models that incorporate these elements will push organization science forward by merging empirical observation with computational agent-based simulation. Applying complex adaptive systems models to strategic management leads to an emphasis on building systems that can rapidly evolve effective adaptive solutions. Strategic direction of complex organizations consists of establishing and modifying environments within which effective, improvised, self-organized solutions can evolve. Managers influence strategic behavior by altering the fitness landscape for local agents and reconfiguring the organizational architecture within which agents adapt.

Complexity Theory and Organization Science

European legislation affects countless aspects of daily life in modern Europe but just how does the European Union make such significant legislative decisions? How important are the formal decision-making procedures in defining decision outcomes and how important is the bargaining that takes place among the actors involved? Using a combination of detailed evidence and theoretical rigour, this 2006 volume addresses these questions and others that are central to understanding how the EU works in practice. It focuses on the practice of day-to-day decision-making in Brussels and the interactions that take place among the Member States in the Council and among the Commission, the Council and the European Parliament. A unique data set of actual Commission proposals are examined against which the authors develop, apply and test a range of explanatory models of decision-making, exemplifying how to study decision-making in other political systems using advanced theoretical tools and appropriate research design.

The European Union Decides

Preface Network Exchange Theory: Issues and Directions Actors in Relations Relations in Structures Power Relations Preface Power Relations in Exchange Networks by Markovsky, Willer and Patton The Discovery of Weak Power Exclusion and Power Preface Exclusion and Power: A Test of Four Theories of Power in Exchange Networks by Skvoretz and Willer Negotiated Exchanges Preface Negotiated Exchanges in Social Networks by Lovaglia et al. An Alternative for Predicting Weak Power by Lovaglia and Willer Network Connections Preface Network Connections and Exchange Ratios: Theory, Predictions and Experimental Tests by Willer and Skvoretz Power and Influence Preface Power and Influence: A Theoretical Bridge by Willer, Lovaglia and Markovsky Status Influence and Status Value by Thye Recent Problems and Solutions in Network Exchange Theory Preface An Automated Approach to the Theoretical Analysis of Difficult Problems by Lovaglia et al. A New Method for Finding Power Structures by Simpson and Willer Developing Network Exchange Theory

Network Exchange Theory

This book answers the question of whether we can apply evolutionary theories to our understanding of the development of social structures. Social networks have increasingly become the focus of many social scientists as a way of analyzing these social structures. While many powerful network analytic tools have been developed and applied to a wide range of empirical phenomena, understanding the evolution of social organization still requires theories and analyses of social network evolutionary processes. Researchers from a variety of disciplines have combined their efforts in what is an indication of some very promising future research and the work represented in this volume provides a basis for a sustained analysis of the evolution of social life.

/pdf/evolution-of-social-networks-3ouwrzs09w.pdf

Evolution of social networks

In this paper we both describe and analyze the meeting process and the evolution of a friendship network among sociology freshmen in the Netherlands. We develop a theory that explains how changes in the network structure depend on one or more of four main effects: proximity, visible similarity, invisible similarity, and network opportunity. We formulate expectations with regard to what factors are important at what stages of the friendship development, making a distinction between 'meeting' and 'mating.' To some extent, the results confirm our expectations. The proximity and visible similarity variables determine change in network structure in the early stages, whereas network opportunity is important during all stages. Unfortunately, no significant effects of invisible similarity are found.

/pdf/evolution-of-sociology-freshmen-into-a-friendship-network-52s6hfwork.pdf

Evolution of sociology freshmen into a friendship network

Fresh perspectives on a Developing Institution, Roy Pierce. Part 1: The European Community, Decision Making, and Integration, Jan M.M. Van den Bos The Policy Issues Analyzed, Jan M.M. Van den Bos. Part 2 The Models: Political Forecasting - An Expected Utility Method, Bruce Bueno de Mesquita The Exchange of Voting Positions - An Object-Oriented Model of Policy Networks, Frans N. Stokman and Reinier Van Oosten. Part 3 Application of the Models: Policy Outcomes and Policy Interventions - An Expected Utility Analysis, Bruce Bueno de Mesquita and A.F.K. Organski The Exchange of Voting Positions in the EC Council, Frans N. Stokman and Jan M.M. Van den Bos The Politics Surrounding the Creation of the EC Bank - The Last Stumbling Block to Integration, Jacek Kugler and John H.P. Williams. Part 4 Comparison and Evaluations of the Models: Models of Exchange and of Expected Utility Maximization - A Comparison of Accuracy, Bruce Bueno de Mesquita and Frans N. Stokman Modelling the EC, A.F.K. Organski and Samuel Eldersveld.

Frans Stokman

Papers

The European Union Decides

Network Exchange Theory

Evolution of social networks

Evolution of sociology freshmen into a friendship network

European Community Decision Making : Models, Applications, And Comparisons