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1

Erickson, Gary M. Dynamic Models of Advertising Competition. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-017-1314-6.

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2

Erickson, Gary M. Dynamic Models of Advertising Competition. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1031-4.

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3

Bajari, Patrick L. Estimating dynamic models of imperfect competition. National Bureau of Economic Research, 2004.

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4

Epstein, Larry G. A simple dynamic general equilibrium model. University of Toronto, 1985.

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5

Rotemberg, Julio. Dynamic general equilibrium models with imperfectly competitive product markets. Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1993.

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6

A, Salinas Silvio R., ed. Disorder and competition in soluble lattice models. World Scientific, 1993.

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7

Weintraub, Gabriel. Markov perfect industry dynamics with many firms. National Bureau of Economic Research, 2005.

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8

Kauppi, Olli. A model of imperfect dynamic competition in the Nordic power market. Helsinki School of Economics, 2009.

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9

Kauppi, Olli. A model of imperfect dynamic competition in the Nordic power market. Helsinki School of Economics, 2009.

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10

1942-, Jørgensen Steffen, and Zaccour Georges, eds. Dynamic competitive analysis in marketing: Proceedings of the International Workshop on Dynamic Competitive Analysis in Marketing, Montréal, Canada, September 1-2, 1995. Springer Verlag, 1996.

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11

Erickson, Gary M. Dynamic models of advertising competition: Open- and closed-loop extensions. Kluwer Academic Publishers, 1991.

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12

Sala-i-Martin, Xavier. The timing of government spending in a dynamic model of imperfect competition. Economic Growth Center, Yale University, 1991.

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13

Fagnart, Jean-François. Imperfect competition, quantity constraints, and macroeconomic dynamics. CIACO, 1995.

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14

Smith, Hal L. The theory of the chemostat: Dynamics of microbial competition. Cambridge University Press, 1995.

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15

Grossman, Gene M. Explaining Japan's innovation and trade: A model of quality competition and dynamic comparative advantage. National Bureau of Economic Research, 1989.

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16

Reger, Rhonda K. Managerial models of competitive dynamics: Addressing the relevance issue in game theoretic modeling. University of Illinois at Urbana-Champaign, 1993.

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17

Lasselle, Laurence. A note on the dynamic study of an OG model with competition a la Cournot. St. Salvator's College, 1998.

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18

Burgess, S. Matching and unemployment dynamics in a model of competition between employed and unemployed job searchers. London School of Economics, Centre for Economic Performance, 1992.

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19

Stein, Jeremy C. Waves of creative destruction: Customer bases and the dynamics of innovation. National Bureau of Economic Research, 1994.

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20

Levinsohn, James Alan. When industries become more productive, do firms?: Investigating productivity dynamics. National Bureau of Economic Research, 1999.

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21

Possas, Mario Luiz. Dinâmica e concorrência capitalista: Uma interpretação a partir de Marx. Editora Hucitec, 1989.

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22

Mulligan, Casey B. A dual method of empirically evaluating dynamic competitive equilibrium models with market distortions, applied to the Great Depression and World War II. National Bureau of Economic Research, 2002.

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23

Pi, Shenglei. Zhuan xing qi Zhongguo heng xiang zheng he qi ye dong tai jing zheng yu guan li mo shi yan jiu: Study on competitive dynamics and management model of Chinese horizontal integrating firms during the transition period. Jing ji ke xue chu ban she, 2014.

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24

Canada. Minerals and Metals Sector. Economic impact of carbon abatement policies and market structure: A dynamic general equilibrium analysis with imperfect competition. Industry Canada, 2001.

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25

UNESCO. Working Group on Systems Analysis. Meeting. Lotka-Volterra-approach to cooperation and competition in dynamic systems: Proceedings of the 5th Meeting of UNESCO's Working Group on System Theory held on the Wartburg, Eisenach (GDR), March 5-9, 1984. Akademie-Verlag, 1985.

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26

UNESCO Working Group on System Theory. Meeting. Lotka-Volterra-Approach to Cooperation and Competition in Dynamic Systems: Proceedings of the 5th Meeting of UNESCO's Working Group on System Theory held on the Wartburg, Eisenach (GDR) March 5-9, 1984. Akademie-Verlag, 1985.

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27

Kapustin, A., V. Avhadeev, A. Golovina, et al. Formation of a modern international legal concept for the exploration and use of outer space. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1241334.

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The exploration and use of outer space, which began in the mid-twentieth century, led to the formation of international space law, designed to regulate the relations of States in this relatively new sphere of human activity. The undulating nature of the development of this branch of international law, for objective reasons, has led to the complication of international legal regulation of space activities. The dynamics of scientific and technological progress and the development of technologies in the space sphere exacerbates competition between space powers and international organizations, cre
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28

Dynamic models of advertising competition. 2nd ed. Kluwer Academic Publishers, 2003.

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29

Erickson, Gary M. Dynamic Models of Advertising Competition. Springer, 2012.

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30

Erickson, Gary M. Dynamic Models of Advertising Competition. Springer London, Limited, 2012.

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31

Dynamic Models of Advertising Competition. Springer, 2011.

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32

König, Thomas, Xiao Lu, and Thiago N. Silva. Learning to Govern Together in Representative Democracy. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780198959045.001.0001.

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Abstract Learning to Govern Together in Representative Democracy introduces a dynamic theory of coalition governance, focusing on the temporal constraints that coalition parties face when governing together in representative democracies. The book examines how coalition partners, over the course of a legislative term, adapt their strategies for joint policy-making as they encounter varying levels of cooperation and competition in partnership. Two distinct models of learning are developed: the portfolio-learning model, where ministers learn through interactions within their portfolios, and the p
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33

Erickson, Gary. Dynamic Models of Advertising Competition: Open- and Closed-Loop Extensions. Gary M Erickson, 2013.

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34

Erickson, Gary M. Dynamic Models of Advertising Competition: Open- and Closed-Loop Extensions. Springer, 2014.

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35

Erickson, Gary M. Dynamic Models of Advertising Competition: Open- and Closed-Loop Extensions. Springer London, Limited, 2013.

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36

Laver, Michael, and Ernest Sergenti. In Conclusion. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0012.

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This concluding chapter summarizes key themes and presents some final thoughts. This book started with the twin premises that understanding multiparty competition is a core concern for everyone interested in representative democracy and that multiparty competition should be understood as an evolving dynamic system, not a stationary state. Given these premises, it investigated the dynamics of multiparty competition using computational agent-based modeling, a new technology that is ideally suited to providing systematic answers to the types of question we want to ask. This allows the modeling of
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37

Laver, Michael, and Ernest Sergenti. Benchmarking the Baseline Model. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0005.

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This chapter begins the investigation of multiparty competition using the baseline model specified in Chapter 3 and methods and procedures specified in Chapter 4. The most significant results concern the representativeness of evolved configurations of party policy positions. In symmetric populations, the ideal points of voters are not best represented by a set of (Hunter) parties who compete for their support by trying to find popular policy positions. Instead, voter preferences are better represented by a set of (Aggregator) parties that do not compete with each other on policy at all but ins
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38

Laver, Michael, and Ernest Sergenti. A Baseline ABM of Party Competition. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0003.

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This chapter specifies the “baseline” agent-based model of dynamic multiparty competition, which derives from an article published by (Laver 2005). This assumes that each voter has in mind some personal ideal “package” of policy positions and supports the political party that offers the policy package closest to this. The dynamic system at the heart of the model is as follows: voters support their “closest” party in this sense; party leaders adapt the policy packages they offer in light of the revealed pattern of voter support; voters reconsider which party they support in light of the reveale
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39

Waltman, Paul, and Hal L. Smith. Theory of the Chemostat: Dynamics of Microbial Competition. Cambridge University Press, 2008.

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40

Waltman, Paul, and Hal L. Smith. Theory of the Chemostat: Dynamics of Microbial Competition. Cambridge University Press, 2011.

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41

Laver, Michael, and Ernest Sergenti. Party Competition. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.001.0001.

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Party competition for votes in free and fair elections involves complex interactions by multiple actors in political landscapes that are continuously evolving, yet classical theoretical approaches to the subject leave many important questions unanswered. This book offers the first comprehensive treatment of party competition using the computational techniques of agent-based modeling. This exciting new technology enables researchers to model competition between several different political parties for the support of voters with widely varying preferences on many different issues. The book models
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42

Peterson, Bruce. Resource limited competition of two species: A dynamic model of a perturbed neutrally stable system. 1986.

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43

Laver, Michael, and Ernest Sergenti. Modeling Multiparty Competition. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0001.

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This chapter begins with a brief discussion of the need for a new approach to modeling party competition. It then makes a case for the use of agent-based modeling to study multiparty competition in an evolving dynamic party system, given the analytical intractability of the decision-making environment, and the resulting need for real politicians to rely on informal decision rules. Agent-based models (ABMs) are “bottom-up” models that typically assume settings with a fairly large number of autonomous decision-making agents. Each agent uses some well-specified decision rule to choose actions, an
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44

Roush, Mary Lynn. Models of a four-species annual weed community: Growth, competition, and community dynamics. 1988.

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45

Roush, Mary Lynn. Models of a four-species annual weed community: Growth, competition, and community dynamics. 1988.

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46

Bénassy, Jean-Pascal. The Macroeconomics of Imperfect Competition and Nonclearing Markets: A Dynamic General Equilibrium Approach. The MIT Press, 2003.

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47

Korniienko, Olga. Capital Requirements and Deposit Rate Ceilings As Regulatory Instruments in a Dynamic Model of Imperfect Competition in Banking. GRIN Verlag GmbH, 2013.

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48

Boland, Lawrence A. Equilibrium attainment vs. equilibrium necessities. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190274320.003.0003.

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This chapter is about Kenneth Arrow’s 1959 article about price adjustment. This chapter uses that article to explain the logical requirements of any equilibrium model that purports to explain, say, equilibrium prices. Arrow explains why just assuming maximization on the part of both demanders and supplier in a market is not enough to assure equilibrium attainment. Arrow rejects the usual textbooks’ addition of an additional assumption that the markets are already at equilibrium. He instead argues that explicitly assumptions about the dynamics of equilibrium attainment must be included in any e
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49

Xu, Xinpeng. International Trade and Environmental Regulation: A Dynamic Perspective. Nova Science Publishers, 2000.

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50

The macroeconomics of imperfect competition and nonclearing markets: A dynamic general equilibrium approach. MIT Press, 2002.

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