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1

Acemoglu, Daron. Learning and disagreement in an uncertain world. Cambridge, Mass: National Bureau of Economic Research, 2006.

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2

Acemoglu, Daron. Learning and disagreement in an uncertain world. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2006.

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3

Gourinchas, Pierre-Olivier. Exchange rate dynamics and learning. Cambridge, MA: National Bureau of Economic Research, 1996.

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4

Guidolin, Massimo. Home bias and high turnover in an overlapping generations model with learning. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2005.

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5

Guidolin, Massimo. Pessimistic beliefs under rational learning: Quantitative implications for the equity premium puzzle. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2005.

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6

Guidolin, Massimo. Properties of equilibrium asset prices under alternative learning schemes. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2005.

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7

Gilchrist, Simon. Expectations, asset prices, and monetary policy: The role of learning. Cambridge, Mass: National Bureau of Economic Research, 2006.

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8

Bouakez, Hafedh. Learning-by-doing or habit formation? Ottawa: Bank of Canada, 2005.

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9

Bouakez, Hafedh. Learning-by-doing or habit formation? Ottawa: Bank of Canada, 2005.

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10

Jacques. Productivity shocks, learning, and open economy dynamics. [Washington D.C.]: International Monetary Fund, IMF Institute, 2004.

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11

Munasinghe, Lalith. Wage dynamics and unobserved heterogeneity: Time preference of learning ability? Cambridge, MA: National Bureau of Economic Research, 2005.

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12

Munasinghe, Lalith. Wage dynamics and unobserved heterogeneity: Time preference or learning ability? Bonn, Germany: IZA, 2004.

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13

Ricketts, Nicholas. Inflation, learning and monetary policy regimes in the G-7 economies. Ottawa: Bank of Canada, 1995.

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14

Barbone, Luca. Are markets learning?: Behavior in the secondary market for Brady bonds. Washington, DC: World Bank, Europe and Central Asia, Country Dept. II, Office of the Director, 1997.

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15

Allen, Todd W. Individual learning about comsumption [i.e. consumption]. Cambridge, MA: National Bureau of Economic Research, 2001.

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16

Abbring, Jaap H. A structural empirical model of firm growth, learning, and survival. [Chicago, Ill.]: Federal Reserve Bank of Chicago, 2003.

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17

Abbring, Jaap H. A structural empirical model of firm growth, learning, and survival. Cambridge, Mass: National Bureau of Economic Research, 2003.

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18

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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19

Clerides, Sofronis. Is "learning-by-exporting" important?: Micro-dynamic evidence from Colombia, Mexico and Morocco. Cambridge, MA: National Bureau of Economic Research, 1996.

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20

Turner, Christopher M. A Markov model of heteroskedasticity, risk, and learning in the stock market. Cambridge, MA: National Bureau of Economic Research, 1989.

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21

Farber, Henry S. Learning and wage dynamics. Princeton: Princeton University, Industrial Relations Section, 1994.

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22

Farber, Henry S. Learning and wage dynamics. Cambridge, MA: National Bureau of Economic Research, 1991.

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23

Hutchinson, James M. A nonparametric approach to pricing and hedging derivative securities via learning networks. Cambridge, MA: National Bureau of Economic Research, 1994.

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24

Klein, Michael W. Learning about intervention target zones. Cambridge, MA: National Bureau of Economic Research, 1991.

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25

Liu, Lili. Entry-exit, learning, and productivity change: Evidence from Chile. Washington, D.C. (1818 H St., NW, Washington 20433): Country Economics Dept., World Bank, 1991.

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26

Bebchuk, Lucian A. Learning and the disappearing association between governance and returns. Cambridge, MA: Harvard Law School, 2010.

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27

Glaeser, Edward L. Learning in cities. Cambridge, MA: National Bureau of Economic Research, 1997.

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28

Altonji, Joseph G. Employer learning and statistical discrimination. Cambridge, MA: National Bureau of Economic Research, 1997.

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29

Angrist, Joshua David. Does teacher training affect pupil learning?: Evidence from matched comparisons in Jerusalem public schools. Cambridge, MA: National Bureau of Economic Research, 1998.

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30

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

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31

Lall, Somik. Learning by dining: Informal networks and productivity in Mexican industry. Washington, D.C: World Bank, Development Research Group, Infrastructure and Environment, 2002.

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32

W, Cooper Russell. Learning by doing and aggregate fluctuations. Cambridge, MA: National Bureau of Economic Research, 1999.

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33

Rangan, Subramanian. Search and deliberation in international exchange: Learning from multinational trade about lags, distance effects, and home bias. Cambridge, MA: National Bureau of Economic Research, 1999.

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34

Chernew, Michael. Learning and the value of information: The case of health plan report cards. Cambridge, MA: National Bureau of Economic Research, 2001.

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35

Blackburn, McKinley L. Omitted-ability bias and the increase in the return to schooling. Cambridge, MA: National Bureau of Economic Research, 1991.

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36

A simulation approach to dynamic portfolio choice with an application to learning about return predictability. Cambridge, MA: National Bureau of Economic Research, 2004.

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37

Are Policy Variables Exogenous?: The Econometric Implications of Learning while Maximizing (Lecture Notes in Economics and Mathematical Systems). Springer, 1991.

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38

Horvath, Balazs. Are Policy Variables Exogenous: The Econometric Implications of Learning While Maximizing\Lecture Notes in Economics & Mathematical Systems, Vol 364 (Lecture ... Notes in Economics and Mathematical Systems). Springer, 1991.

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39

Boland, Lawrence A. Macroeconomic equilibrium model building and the stability problem. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190274320.003.0010.

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This chapter will consider all major ways of avoiding the methodological questions facing the construction of any equilibrium model that attempts to address the need to explain an equilibrium’s ‘stability’. In this regard, the chapter discusses rational expectations in a microeconomic context followed by a discussion of macroeconomic equilibrium models. Consideration of rational expectations invokes various ideas about learning in macroeconomics. Building macroeconomic models is one of the three basic strategies of avoidance that will be critically examined. A second method involves stochasticism that relies of the use of ‘bounded rationality’, ‘Bayesian learning’, and ‘econometric learning’. The third way of avoiding the methodological questions is to invoke instrumentalism which involves the claim that equilibrium models serve only as instruments for forming policy, and can be judged only on their practical success, not on the logic underlying them.
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40

Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning. World Scientific Publishing Co Pte Ltd, 2021.

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41

Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning: (In 4 Volumes). New Jersey, USA: World Scientific Publishing Company (WSPC), 2020.

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