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Elizabeth Chase MacRae

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First Name:Elizabeth
Middle Name:Chase
Last Name:MacRae
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RePEc Short-ID:pma187

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Working papers

  1. Elizabeth Chase MacRae, 1972. "Optimal estimation and control: a structural approximation," Special Studies Papers 27, Board of Governors of the Federal Reserve System (U.S.).
  2. Elizabeth Chase MacRae, 1971. "Matrix derivatives with an application to the analysis of covariance structures," Special Studies Papers 20, Board of Governors of the Federal Reserve System (U.S.).

Articles

  1. Razavi, Hossein G. & MacRae, Elizabeth Chase, 1981. "Optimal stabilization policies for housing activity," Journal of Policy Modeling, Elsevier, vol. 3(1), pages 107-121, February.
  2. MacRae, Elizabeth Chase, 1977. "Estimation of Time-Varying Markov Processes with Aggregate Data," Econometrica, Econometric Society, vol. 45(1), pages 183-198, January.
  3. MacRae, C Duncan & MacRae, Elizabeth Chase, 1976. "Labor Supply and the Payroll Tax," American Economic Review, American Economic Association, vol. 66(3), pages 408-409, June.
  4. MacRae, Elizabeth Chase, 1975. "An Adaptive Learning Rule for Multiperiod Decision Problems," Econometrica, Econometric Society, vol. 43(5-6), pages 893-906, Sept.-Nov.

Chapters

  1. Elizabeth Chase MacRae, 1977. "Optimal Experimental Design for Dynamic Econometric Models," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 6, number 4, pages 399-405 National Bureau of Economic Research, Inc.
  2. Elizabeth Chase MacRae, 1972. "Linear Decision with Experimentation," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 1, number 4, pages 437-447 National Bureau of Economic Research, Inc.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Elizabeth Chase MacRae, 1972. "Optimal estimation and control: a structural approximation," Special Studies Papers 27, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Preston J. Miller & Arthur J. Rolnick, 1979. "The CBO's policy analysis: an unquestionable misuse of a questionable theory," Staff Report 49, Federal Reserve Bank of Minneapolis.
    2. Elizabeth Chase MacRae, 1972. "Linear Decision with Experimentation," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 1, number 4, pages 437-447 National Bureau of Economic Research, Inc.

  2. Elizabeth Chase MacRae, 1971. "Matrix derivatives with an application to the analysis of covariance structures," Special Studies Papers 20, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Elizabeth Chase MacRae, 1972. "Linear Decision with Experimentation," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 1, number 4, pages 437-447 National Bureau of Economic Research, Inc.

Articles

  1. MacRae, Elizabeth Chase, 1977. "Estimation of Time-Varying Markov Processes with Aggregate Data," Econometrica, Econometric Society, vol. 45(1), pages 183-198, January.

    Cited by:

    1. Huettel, Silke & Jongeneel, Roelof A., 2009. "Impact of the EU Milk Quota on Structural Change in the Dairy Sectors of Germany and The Netherlands," 2009 Conference, August 16-22, 2009, Beijing, China 50943, International Association of Agricultural Economists.
    2. Karol Flisikowski & Dagmara Nikulin, 2015. "Workforce Mobility Against The Background Of Labour Market Duality Theory – The Example Of Selected Oecd Countries," GUT FME Conference Publications,in: Katarzyna Stankiewicz (ed.), Contemporary Issues and Challenges in Human Resource Management, chapter 2, pages 9-17 Faculty of Management and Economics, Gdansk University of Technology.
    3. Ben Ayara, Amine & Cho, Seong-Hoon & Clark, Christopher & Lambert, Dayton & Armsworth, Paul, 2016. "Spatial and Temporal Variation in the Optimal Provision of Forest-based Carbon Storage," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236005, Agricultural and Applied Economics Association.
    4. Zimmermann, Andrea & Heckelei, Thomas, 2012. "Differences of farm structural change across European regions," Discussion Papers 162879, University of Bonn, Institute for Food and Resource Economics.
    5. Silke Huettel & Anne Margarian, 2009. "Structural change in the West German agricultural sector," Agricultural Economics, International Association of Agricultural Economists, vol. 40(s1), pages 759-772, November.
    6. D. M. Lambert & C. N. Boyer & L. He, 2016. "Spatial-temporal heteroskedastic robust covariance estimation for Markov transition probabilities: an application examining land use change," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 353-362, October.
    7. Arie ten Cate, 2014. "Maximum likelihood estimation of the Markov chain model with macro data and the ecological inference model," CPB Discussion Paper 284, CPB Netherlands Bureau for Economic Policy Analysis.
    8. Douglas J. Miller & George Judge, 2015. "Information Recovery in a Dynamic Statistical Markov Model," Econometrics, MDPI, Open Access Journal, vol. 3(2), pages 1-12, March.
    9. Enrico Fabrizi & Gianni Guastella & Stefano Marta & Francesco Timpano, 2016. "Determinants of Intra-Distribution Dynamics in European Regions: An Empirical Assessment of the Role of Structural Intervention," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(5), pages 522-539, December.
    10. Davor Kunovac, 2011. "Estimating Credit Migration Matrices with Aggregate Data – Bayesian Approach," Working Papers 30, The Croatian National Bank, Croatia.
    11. Legrand D.F. Saint-Cyr & Laurent Piet, 2015. "Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change," Working Papers SMART - LERECO 15-06, INRA UMR SMART-LERECO.
    12. Jeffrey M. Gillespie & Joan R. Fulton, 2001. "A Markov chain analysis of the size of hog production firms in the United States," Agribusiness, John Wiley & Sons, Ltd., vol. 17(4), pages 557-570.
    13. Jongeneel, Roelof A. & Longworth, Natasha & Huettel, Silke, 2005. "Dairy Farm Size Distribution in East and West: Evolution and Sensitivity to Structural and Policy Variables: Case-Studies of the Netherlands, Germany, Poland and Hungary," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24772, European Association of Agricultural Economists.
    14. Coppejans, Mark & Domowitz, Ian, 1999. "Pricing behavior in an off-hours computerized market," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 583-607, December.
    15. Barsotti, Flavia & De Castro, Yohann & Espinasse, Thibault & Rochet, Paul, 2014. "Estimating the transition matrix of a Markov chain observed at random times," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 98-105.
    16. Plantinga, Andrew J. & Ahn, Soeun, 2002. "Efficient Policies For Environmental Protection: An Econometric Analysis Of Incentives For Land Conversion And Retention," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(01), July.
    17. Saint-Cyr, Legrand D. F. & Piet, Laurent, 2014. "Movers and Stayers in the Farming Sector: Another Look at Heterogeneity in Structural Change," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183068, European Association of Agricultural Economists.
    18. Felteau, Claude & Lefebvre, Pierre & Merrigan, Philip & Brouillette, Liliane, 1997. "Conjugalité et fécondité des femmes canadiennes : un modèle dynamique estimé à l’aide d’une série de coupes transversales," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 233-263, mars-juin.
    19. Storm, Hugo & Heckelei, Thomas, 2011. "Bayesian estimation of non-stationary Markov models combining micro and macro data," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103645, Agricultural and Applied Economics Association.
    20. Hua, Wei & Sohngen, Brent & Hite, Diane, 2005. "Assessing the Relationship Between Crop Choice and Land Use Change Using A Markov Model," 2005 Annual meeting, July 24-27, Providence, RI 19257, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. Melanie Parravano & Luis Enrique Pedauga, 2008. "Oil market dynamics: A Markow chain analysis," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 33(25), pages 87-115, january-j.
    22. Pedauga, Luis Enrique & Pineda, Julio & Dorta, Miguel, 2004. "Rivalidad por clientes en el mercado cambiario venezolano
      [Rivalry for customers in the Venezuelan exchange marke]
      ," MPRA Paper 62446, University Library of Munich, Germany.
    23. Karantininis, Kostas, 2001. "Information Based Estimators for the Non-Stationary Transition Probability Matrix: An Application to the Danish Pork Industry," Unit of Economics Working papers 24198, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
    24. Pasanisi, Alberto & Fu, Shuai & Bousquet, Nicolas, 2012. "Estimating discrete Markov models from various incomplete data schemes," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2609-2625.
    25. Matthew T Jones, 2005. "Estimating Markov Transition Matrices Using Proportions Data; An Application to Credit Risk," IMF Working Papers 05/219, International Monetary Fund.
    26. Jongeneel, Roelof A., 2002. "An Analysis of the Impact of Alternative EU Dairy Policies on the Size Distribution of Dutch Dairy Farms: an Information Based Approach to the Non-Stationary Markov Chain Model," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24892, European Association of Agricultural Economists.

  2. MacRae, Elizabeth Chase, 1975. "An Adaptive Learning Rule for Multiperiod Decision Problems," Econometrica, Econometric Society, vol. 43(5-6), pages 893-906, Sept.-Nov.

    Cited by:

    1. Tucci, Marco P. & Kendrick, David A. & Amman, Hans M., 2010. "The parameter set in an adaptive control Monte Carlo experiment: Some considerations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1531-1549, September.
    2. King, Robert P., 1979. "Operational Techniques for Applied Decision Analysis Under Uncertainty," AAEA Fellows - Dissertations and Theses, Agricultural and Applied Economics Association, number 181951.
    3. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    4. Hans M. Amman & David A. Kendrick, 2003. "A Classification System for Economic Stochastic Control Models," Computing in Economics and Finance 2003 114, Society for Computational Economics.
    5. Cosimano, Thomas F., 2008. "Optimal experimentation and the perturbation method in the neighborhood of the augmented linear regulator problem," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1857-1894, June.
    6. David Kendrick, 1976. "Applications of Control Theory to Macroeconomics," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 5, number 2, pages 171-190 National Bureau of Economic Research, Inc.
    7. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    8. Marco Tucci & David Kendrick & Hans Amman, 2013. "Expected Optimal Feedback with Time-Varying Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 42(3), pages 351-371, October.
    9. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
    10. Johnson, Timothy C., 2007. "Optimal learning and new technology bubbles," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2486-2511, November.
    11. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economic Research Papers 2013-051, Friedrich-Schiller-University Jena.
    12. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.
    13. D. Blueschke & V. Blueschke-Nikolaeva & R. Neck, 2013. "Stochastic Control of Linear and Nonlinear Econometric Models: Some Computational Aspects," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 107-118, June.

Chapters

  1. Elizabeth Chase MacRae, 1972. "Linear Decision with Experimentation," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 1, number 4, pages 437-447 National Bureau of Economic Research, Inc.

    Cited by:

    1. Chee-Yee Chong & David Cheng & David Cheng, 1975. "Multistage Pricing under Uncertain Demand," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 4, number 2, pages 311-323 National Bureau of Economic Research, Inc.
    2. Tucci, Marco P. & Kendrick, David A. & Amman, Hans M., 2010. "The parameter set in an adaptive control Monte Carlo experiment: Some considerations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1531-1549, September.
    3. Tucci, Marco P., 1997. "Adaptive control in the presence of time-varying parameters," Journal of Economic Dynamics and Control, Elsevier, vol. 22(1), pages 39-47, November.
    4. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    5. Sweder van Wijnbergen & Tim Willems, 2013. "Optimal Learning on Climate Change: Why climate skeptics should reduce emissions," OxCarre Working Papers 111, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    6. Cosimano, Thomas F., 2008. "Optimal experimentation and the perturbation method in the neighborhood of the augmented linear regulator problem," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1857-1894, June.
    7. David Kendrick, 1976. "Applications of Control Theory to Macroeconomics," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 5, number 2, pages 171-190 National Bureau of Economic Research, Inc.
    8. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    9. Marco Tucci & David Kendrick & Hans Amman, 2013. "Expected Optimal Feedback with Time-Varying Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 42(3), pages 351-371, October.
    10. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
    11. Alfred L. Norman, 1976. "First Order Dual Control," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 5, number 3, pages 311-321 National Bureau of Economic Research, Inc.
    12. Tim Willems, 2017. "Actively Learning by Pricing: A Model of an Experimenting Seller," Economic Journal, Royal Economic Society, vol. 127(604), pages 2216-2239, September.
    13. In Chang Hwang, 2016. "Active learning and optimal climate policy," EcoMod2016 9611, EcoMod.
    14. Yaakov Bar-Shalom & Edison Tse, 1976. "Caution, Probing, and the Value of Information in the Control of Uncertain Systems," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 5, number 3, pages 323-337 National Bureau of Economic Research, Inc.
    15. Beck, Gunter W. & Wieland, Volker, 2002. "Learning and control in a changing economic environment," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1359-1377, August.
    16. Tucci, Marco P., 2002. "A note on global optimization in adaptive control, econometrics and macroeconomics," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1739-1764, August.
    17. Marco Tucci, 2006. "Understanding the Difference Between Robust Control and Optimal Control in a Linear Discrete-Time System with Time-Varying Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 533-558, June.

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