Books on the topic 'Feedback (Psychology) Econometric models'

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1

Aizenman, Joshua. On the two way feedback between financial and trade openness. Cambridge, MA: National Bureau of Economic Research, 2004.

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2

Kendrick, David A. Feedback: A new framework for macroeconomic policy. Dordrecht: Kluwer Academic Publishers, 1988.

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3

Goyal, Ashima. Monetary policy, forex markets, and feedback under uncertainty in an opening economy. Mumbai: Dept. of Economic Analysis and Policy, Reserve Bank of India, 2009.

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4

Goyal, Ashima. Monetary policy, forex markets, and feedback under uncertainty in an opening economy. Mumbai: Dept. of Economic Analysis and Policy, Reserve Bank of India, 2009.

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5

Fryer, Roland G. Categorical redistribution in winner-take-all markets. Cambridge, Mass: National Bureau of Economic Research, 2003.

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6

Hernández, Leonardo. Determinants of private capital flows in the 1970s and 1990s: Is there evidence of contagion? [Washington, D.C.]: International Monetary Fund, IMF Institute, 2001.

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7

Basu, Ritu. Financial contagion and investor "learning": An empirical investigation. [Washington, D.C.]: International Monetary Fund, Monetary and Exchange Affairs Department, 2002.

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8

Chan-Lau, Jorge A. Extreme contagion in equity markets. [Washington, D.C.]: International Monetary Fund, International Capital Markets Department, 2002.

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9

Corsetti, Giancarlo. Correlation analysis of financial contagion: What one should know before running a test. [Roma]: Banca d'Italia, 2001.

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10

Brock, William A. Discrete choice with social interactions I: Theory. Cambridge, MA: National Bureau of Economic Research, 1995.

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11

Hernández, Leonardo. What drives contagion: Trade, neighborhood, or financial links? [Washington, D.C.]: International Monetary Fund, IMF Institute, 2001.

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12

Tella, Rafael Di. Happiness adaptation to income and to status in an individual panel. Cambridge, Mass: National Bureau of Economic Research, 2007.

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13

Ciccarelli, Matteo. Measuring contagion with a Bayesian time-varying coefficient model. Washington, D.C: International Monetary Fund, Research Department, 2003.

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14

Banerjee, Swagata. Impacts of seed and farm characteristics on cottonseed choice: A choice-based conjoint experiment in the Mississippi Delta. [Mississippi State]: Mississippi Agricultural and Forestry Experiment Station, 2009.

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15

Dave, Dhaval. Risk tolerance and alcohol demand among adults and older adults. Cambridge, MA: National Bureau of Economic Research, 2007.

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16

Cai, Hongbin. Observational learning: Evidence from a randomized natural field experiment. Cambridge, Mass: National Bureau of Economic Research, 2007.

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17

Dave, Dhaval. Risk tolerance and alcohol demand among adults and older adults. Cambridge, Mass: National Bureau of Economic Research, 2007.

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18

Zhang, Zhiwei. Speculative attacks in the Asian crisis. [Washington, D.C.]: International Monetary Fund, Research Department, 2001.

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19

Choueiri, Nada. A model of contagious currency crises with application to Argentina. [Washington, D.C.]: International Monetary Fund, Research Department, 1999.

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20

Forbes, Kristin. No contagion, only interdependence: Measuring stock market co-movements. Cambridge, MA: National Bureau of Economic Research, 1999.

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21

Ahluwalia, Pavan. Discriminating contagion: An alternative explanation of contagious currency crises in emerging markets. [Washington, D.C.]: International Monetary Fund, Research Department, 2000.

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22

Barton, Peter B. International financial contagion and the IMF: A theoretical framework. [Washington, D.C.]: International Monetary Fund, Research Department, 2001.

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23

Rigobón, Roberto. Identification through heteroskedasticity: Measuring "contagion" between Argentinean and Mexican sovereign bonds. Cambridge, MA: National Bureau of Economic Research, 2000.

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24

Rigobón, Roberto. Contagion: How to measure it? Cambridge, MA: National Bureau of Economic Research, 2001.

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25

R, Bettman James, and Payne John W, eds. Emotional decisions: Tradeoff difficulty and coping in consumer choice. Chicago, IL: University of Chicago Press, 2001.

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26

Luce, Mary Frances. Emotional decisions: Tradeoff difficulty and coping in consumer choice. Chicago, IL: University of Chicago Press, 2001.

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27

Agénor, Pierre-Richard. Contagion, bank lending spreads, and output fluctuations. Cambridge, MA: National Bureau of Economic Research, 1998.

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28

Sbracia, M. The role of the banking system in the international transmission of shocks. [Roma]: Banca d'Italia, 2001.

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29

Dore, Ousmane. Regional impact of Côte d'Ivoire's 1999-2000 sociopolitical crisis: An assessment. [Washington, D.C.]: International Monetary Fund, African Department, 2003.

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30

Drazen, Allan. Political contagion in currency crises. Cambridge, MA: National Bureau of Economic Research, 1999.

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31

A law and economics approach to criminal gangs. Aldershot, England: Ashgate, 1999.

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32

School desegregation in the twenty-first century: The focus must change. Lewiston, N.Y: E. Mellen Press, 1997.

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33

Valdés, Rodrigo O., Pamela Melado, and Leonardo Hernández. Determinants of Private Capital Flows in the 1970S And 1990S: Is There Evidence of Contagion? International Monetary Fund, 2001.

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34

Ciccarelli, Matteo, and Alessandro Rebucci. Measuring Contagion with a Bayesian Time-Varying Coefficient Model. International Monetary Fund, 2003.

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35

Ciccarelli, Matteo, and Alessandro Rebucci. Measuring Contagion with a Bayesian Time-Varying Coefficient Model. International Monetary Fund, 2003.

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36

Valdés, Rodrigo O., and Leonardo Hernández. What Drives Contagion: Trade Neighborhood, or Financial Links? International Monetary Fund, 2001.

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37

Ciccarelli, Matteo, and Alessandro Rebucci. Measuring Contagion with a Bayesian Time-Varying Coefficient Model. International Monetary Fund, 2003.

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38

Choueiri, Nada. Model of Contagious Currency Crises with Application to Argentina. International Monetary Fund, 1999.

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39

Choueiri, Nada. Model of Contagious Currency Crises with Application to Argentina. International Monetary Fund, 1999.

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40

Zhang, Zhiwei. Speculative Attacks in the Asian Crisis. International Monetary Fund, 2001.

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41

Zhang, Zhiwei. Speculative Attacks in the Asian Crisis. International Monetary Fund, 2001.

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42

Zhang, Zhiwei. Speculative Attacks in the Asian Crisis. International Monetary Fund, 2001.

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43

Choueiri, Nada. Model of Contagious Currency Crises with Application to Argentina. International Monetary Fund, 1999.

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44

Vertinsky, Liza. Law and Economics Approach to Criminal Gangs. Taylor & Francis Group, 2019.

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45

Vertinsky, Liza. Law and Economics Approach to Criminal Gangs. Taylor & Francis Group, 2018.

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46

Law and Economics Approach to Criminal Gangs. Taylor & Francis Group, 2019.

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47

Walker, Stephen G., and Mark Schafer. Operational Code Theory: Beliefs and Foreign Policy Decisions. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190846626.013.411.

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The process of foreign policy decision making is influenced in large part by beliefs, along with the strategic interaction between actors engendered by their decisions and the resulting political outcomes. In this context, beliefs encompass three kinds of effects: the mirroring effects associated with the decision making situation, the steering effects that arise from this situation, and the learning effects of feedback. These effects are modeled using operational code analysis, although “operational code theory” more accurately describes an alliance of attribution and schema theories from psychology and game theory from economics applied to the domain of politics. This “theory complex” specifies belief-based solutions to the puzzles posed by diagnostic, decision making, and learning processes in world politics. The major social and intellectual dimensions of operational code theory can be traced to Nathan Leites’s seminal research on the Bolshevik operational code, The Operational Code of the Politburo. In the last half of the twentieth century, applications of operational code analysis have emphasized different cognitive, emotional, and motivational mechanisms as intellectual dimensions in explaining foreign policy decisions. The literature on operational code theory may be divided into four general waves of research: idiographic-interpretive studies, nomothetic-typological studies, quantitative-statistical studies, and formal modeling studies. The present trajectory of studies on operational code points to a number of important trends that straddle political psychology and game theory. For example, the psychological processes of mirroring, steering, and learning associated with operational code analysis have the potential to enrich our understanding of game-theoretic models of strategic interaction.
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