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Peter Goos

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First Name:Peter
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Last Name:Goos
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RePEc Short-ID:pgo29
https://www.kuleuven.be/wieiswie/en/person/00006560
Peter Goos Faculty of Bioscience Engineering KU Leuven Kasteelpark Arenberg 30 3001 Leuven Belgium

Research output

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Working papers

  1. Boonaert, Eva & Hoyweghen, Kaat Van & Feyisa, Ashenafi Duguma & Goos, Peter & Maertens, Miet, 2021. "Twofold Gendered Preferences in the Quantity-Quality Trade-Off Impact the Demographic Transition in Ethiopia," 2021 Conference, August 17-31, 2021, Virtual 315224, International Association of Agricultural Economists.
  2. VÁZQUEZ-ALCOCER, Alan & SCHOEN, Eric D. & GOOS, Peter, 2018. "A mixed integer optimization approach for model selection in screening experiments," Working Papers 2018007, University of Antwerp, Faculty of Business and Economics.
  3. VÁZQUEZ-ALCOCER, Alan & GOOS, Peter & SCHOEN, Eric D., 2017. "Projections of definitive screening designs by dropping columns: Selection and evaluation," Working Papers 2017010, University of Antwerp, Faculty of Business and Economics.
  4. Marjolijn De Wilde & Peter Goos, 2017. "The Implementation of Social Policy: A Factorial Survey Approach," Working Papers 1706, Herman Deleeck Centre for Social Policy, University of Antwerp.
  5. ARES, José Núnez & GOOS, Peter, 2016. "An integer linear programming approach to find trend-robust run orders of experimental designs," Working Papers 2016013, University of Antwerp, Faculty of Business and Economics.
  6. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2016. "An algorithmic framework for generating optimal two-stratum experimental designs," Working Papers 2016003, University of Antwerp, Faculty of Business and Economics.
  7. VO-THANH, Nha & GOOS, Peter & SCHOEN, Eric D., 2016. "Integer programming approaches to find row-column arrangements of two-level orthogonal experimental designs," Working Papers 2016010, University of Antwerp, Faculty of Business and Economics.
  8. VÁZQUEZ-ALCOCER, Alan & GOOS, Peter & SCHOEN, Eric D., 2016. "Two-level designs constructed by concatenating orthogonal arrays of strenght three," Working Papers 2016011, University of Antwerp, Faculty of Business and Economics.
  9. Aiste Ruseckaite & Dennis Fok & Peter Goos, 2016. "Flexible Mixture-Amount Models for Business and Industry using Gaussian Processes," Tinbergen Institute Discussion Papers 16-075/III, Tinbergen Institute.
  10. SCHOEN, Eric D. & VO-THANH, Nha & GOOS, Peter, 2016. "Orthogonal blocking arrangements for 24-run and 28-run two-level designs," Working Papers 2016002, University of Antwerp, Faculty of Business and Economics.
  11. CUERVO, Daniel Palhazi & KESSELS, Roselinde & GOOS, Peter & SÖRENSEN, Kenneth, 2015. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Working Papers 2015004, University of Antwerp, Faculty of Business and Economics.
  12. LUYTEN, Jeroen & DESMET, Pieter & KESSELS, Roselinde & GOOS, Peter & BEUTELS, Philippe, 2015. "The future’s so bright, I gotta wear sunscreen: Dispositional optimism and preferences for prioritizing health care," Working Papers 2015015, University of Antwerp, Faculty of Business and Economics.
  13. SYAFITRI, Utami & SARTONO, Bagus & GOOS, Peter, 2015. "D- and I-optimal design of mixture experiments in the presence of ingredient availability constraints," Working Papers 2015003, University of Antwerp, Faculty of Business and Economics.
  14. SCHOEN, Eric D. & VO-THANH, Nha & GOOS, Peter, 2015. "Two-level orthogonal designs in 24 and 28 runs," Working Papers 2015016, University of Antwerp, Faculty of Business and Economics.
  15. CASTRO, Marco & SÖRENSEN, Kenneth & GOOS, Peter & VANSTEENWEGEN, Pieter, 2014. "The multiple travelling salesperson problem with hotel selection," Working Papers 2014030, University of Antwerp, Faculty of Business and Economics.
  16. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2014. "Bayesian D-Optimal Choice Designs for Mixtures," Tinbergen Institute Discussion Papers 14-057/III, Tinbergen Institute.
  17. LUYTEN, Jeroen & KESSELS, Roselinde & GOOS, Peter & BEUTELS, Philippe, 2013. "Public preferences for prioritizing preventive and curative health care interventions: A discrete choice experiment," Working Papers 2013032, University of Antwerp, Faculty of Business and Economics.
  18. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2013. "An iterated local search algorithm for the construction of large scale D-optimal experimental designs," Working Papers 2013006, University of Antwerp, Faculty of Business and Economics.
  19. ARNOUTS, Heidi & GOOS, Peter, 2013. "Staggered-level designs for response surface modeling," Working Papers 2013027, University of Antwerp, Faculty of Business and Economics.
  20. KESSELS, Roselinde & JONES, Bradley & GOOS, Peter, 2013. "An argument for preferring Firth bias-adjusted estimates in aggregate and individual-level discrete choice modeling," Working Papers 2013013, University of Antwerp, Faculty of Business and Economics.
  21. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth & ARRÁIZ, Emely, 2013. "An iterated local search algorithm for the vehicle routing problem with backhauls," Working Papers 2013010, University of Antwerp, Faculty of Business and Economics.
  22. GOOS, Peter & JONES, Bradley & SYAFITRI, Utami, 2013. "I-optimal mixture designs," Working Papers 2013033, University of Antwerp, Faculty of Business and Economics.
  23. KUPFER, Franziska & KESSELS, Roselinde & GOOS, Peter & VAN DE VOORDE, Eddy & VERHETSEL, Ann, 2013. "A discrete choice approach for analysing the airport choice for freighter operations in Europe," Working Papers 2013028, University of Antwerp, Faculty of Business and Economics.
  24. VERHETSEL, Ann & KESSELS, Roselinde & BLOMME, Nele & CANT, Jeroen & GOOS, Peter, 2013. "Location of logistics companies: A stated preference study to disentangle the impact of accessibility," Working Papers 2013024, University of Antwerp, Faculty of Business and Economics.
  25. SARTONO, Bagus & GOOS, Peter & SCHOEN, Eric D., 2012. "Orthogonal blocking of regular and non-regular strength-3 designs," Working Papers 2012026, University of Antwerp, Faculty of Business and Economics.
  26. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Business and Economics.
  27. CASTRO, Marco & SÖRENSEN, Kenneth & VANSTEENWEGEN, Pieter & GOOS, Peter, 2012. "A simple GRASP+VND for the travelling salesperson problem with hotel selection," Working Papers 2012024, University of Antwerp, Faculty of Business and Economics.
  28. DUQUE, Pablo A. Maya & COENE, Sofie & GOOS, Peter & SÖRENSEN, Kenneth & SPIEKSMA, Frits, 2012. "The accessibility arc upgrading problem," Working Papers 2012009, University of Antwerp, Faculty of Business and Economics.
  29. JONES, Bradley & GOOS, Peter, 2012. "I-optimal versus D-optimal split-plot response surface designs," Working Papers 2012002, University of Antwerp, Faculty of Business and Economics.
  30. SCHOEN, Eric D. & SARTONO, Bagus & GOOS, Peter, 2012. "Optimal blocking for general resolution-3 designs," Working Papers 2012025, University of Antwerp, Faculty of Business and Economics.
  31. MYLONA, Kalliopi & MACHARIA, Harrison & GOOS, Peter, 2011. "Three-level equivalent-estimation split-plot designs based on subset and supplementary difference set designs," Working Papers 2011010, University of Antwerp, Faculty of Business and Economics.
  32. MACHARIA, Harrison & GOOS, Peter, 2010. "D-optimal and D-efficient equivalent-estimation second-order split-plot designs," Working Papers 2010011, University of Antwerp, Faculty of Business and Economics.
  33. SCHOEN, Eric D. & JONES, Bradley & GOOS, Peter, 2010. "Split-plot experiments with factor-dependent whole-plot sizes," Working Papers 2010001, University of Antwerp, Faculty of Business and Economics.
  34. SARTONO, Bagus & GOOS, Peter & SCHOEN, Eric D., 2010. "Classification of strength-three multi-level orthogonal arrays," Working Papers 2010026, University of Antwerp, Faculty of Business and Economics.
  35. GOOS, Peter & GILMOUR, Steven G., 2010. "Analyzing categorical data from split-plot and other multi-stratum experiments," Working Papers 2010021, University of Antwerp, Faculty of Business and Economics.
  36. DE KETELAERE, Bart & GOOS, Peter & BRIJS, Kristof, 2010. "Prespecified factor-level combinations in the optimal design of mixture-process variable experiments," Working Papers 2011001, University of Antwerp, Faculty of Business and Economics.
  37. MAYA, Pablo & SÖRENSEN, Kenneth & GOOS, Peter, 2009. "A metaheuristic for a teaching assistant assignment-routing problem," Working Papers 2009011, University of Antwerp, Faculty of Business and Economics.
  38. ARNOUTS, Heidi & GOOS, Peter, 2009. "Design and analysis of industrial strip-plot experiments," Working Papers 2009007, University of Antwerp, Faculty of Business and Economics.
  39. GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Business and Economics.
  40. ARNOUTS, Heidi & GOOS, Peter, 2008. "Update formulas for split-plot and block designs," Working Papers 2008022, University of Antwerp, Faculty of Business and Economics.
  41. SALEHIPOUR, Amir & SÖRENSEN, Kenneth & GOOS, Peter & BRÄYSY, Olli, 2008. "An efficient GRASP+VND metaheuristic for the traveling repairman problem," Working Papers 2008008, University of Antwerp, Faculty of Business and Economics.
  42. ARNOUTS, Heidi & GOOS, Peter, 2008. "Staggered designs for experiments with more than one hard-to-change factor," Working Papers 2008018, University of Antwerp, Faculty of Business and Economics.
  43. BRADLEY, Jones & GOOS, Peter, 2007. "D-optimal design of split-split-plot experiments," Working Papers 2007017, University of Antwerp, Faculty of Business and Economics.
  44. GARROI, Jean-Jacques & GOOS, Peter & SÖRENSEN, Kenneth, 2006. "A variable-neighbourhood search algorithm for finding optimal run orders in the presence of serial correlation and time trends," Working Papers 2006026, University of Antwerp, Faculty of Business and Economics.
  45. GILMOUR, Steven G. & GOOS, Peter, 2006. "Analysis of data from nonorthogonal multi-stratum designs," Working Papers 2006005, University of Antwerp, Faculty of Business and Economics.
  46. GOOS, Peter, "undated". "The usefulness of optimal design for generating blocked and split-plot response surface experiments," Working Papers 2005033, University of Antwerp, Faculty of Business and Economics.
  47. JONES, Bradley & GOOS, Peter, "undated". "A candidate-set-free algorithm for generating D-optimal split-plot designs," Working Papers 2006006, University of Antwerp, Faculty of Business and Economics.

Articles

  1. Arno Strouwen & Bart M Nicolaï & Peter Goos, 2022. "Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables," PLOS Computational Biology, Public Library of Science, vol. 18(1), pages 1-23, January.
  2. Aiste Ruseckaite & Dennis Fok & Peter Goos, 2020. "Flexible Mixture-Amount Models Using Multivariate Gaussian Processes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 257-271, April.
  3. Yuanzhi Huang & Steven G. Gilmour & Kalliopi Mylona & Peter Goos, 2020. "Optimal Design of Experiments for Hybrid Nonlinear Models, with Applications to Extended Michaelis–Menten Kinetics," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 601-616, December.
  4. Nha Vo-Thanh & Peter Goos & Eric D. Schoen, 2020. "Integer programming approaches to find row–column arrangements of two-level orthogonal experimental designs," IISE Transactions, Taylor & Francis Journals, vol. 52(7), pages 780-796, July.
  5. Goos, P. & Syafitri, U. & Sartono, B. & Vazquez, A.R., 2020. "A nonlinear multidimensional knapsack problem in the optimal design of mixture experiments," European Journal of Operational Research, Elsevier, vol. 281(1), pages 201-221.
  6. Zijlstra, Toon & Goos, Peter & Verhetsel, Ann, 2019. "A mixture-amount stated preference study on the mobility budget," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 230-246.
  7. Kessels, Roselinde & Jones, Bradley & Goos, Peter, 2019. "Using Firth's method for model estimation and market segmentation based on choice data," Journal of choice modelling, Elsevier, vol. 31(C), pages 1-21.
  8. Yuanzhi Huang & Steven G. Gilmour & Kalliopi Mylona & Peter Goos, 2019. "Optimal design of experiments for non‐linear response surface models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 68(3), pages 623-640, April.
  9. Peter Goos & Nathalie Dens & Patrick De Pelsmacker & Leonids Aleksandrovs, 2019. "Using mixture‐amount modeling to optimize the advertising media mix and quantify cross‐media synergy for specific target groups," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(5), pages 1228-1252, September.
  10. Eric D. Schoen & Nha Vo-Thanh & Peter Goos, 2017. "Two-Level Orthogonal Screening Designs With 24, 28, 32, and 36 Runs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1354-1369, July.
  11. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
  12. Palhazi Cuervo, Daniel & Goos, Peter & Sörensen, Kenneth, 2017. "An algorithmic framework for generating optimal two-stratum experimental designs," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 224-249.
  13. Kupfer, Franziska & Kessels, Roselinde & Goos, Peter & Van de Voorde, Eddy & Verhetsel, Ann, 2016. "The origin–destination airport choice for all-cargo aircraft operations in Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 53-74.
  14. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
  15. Peter Goos & Bradley Jones & Utami Syafitri, 2016. "I-Optimal Design of Mixture Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 899-911, April.
  16. Maya Duque, P.A. & Castro, M. & Sörensen, K. & Goos, P., 2015. "Home care service planning. The case of Landelijke Thuiszorg," European Journal of Operational Research, Elsevier, vol. 243(1), pages 292-301.
  17. Roselinde Kessels & Bradley Jones & Peter Goos, 2015. "An improved two‐stage variance balance approach for constructing partial profile designs for discrete choice experiments," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 31(5), pages 626-648, September.
  18. Verhetsel, Ann & Kessels, Roselinde & Goos, Peter & Zijlstra, Toon & Blomme, Nele & Cant, Jeroen, 2015. "Location of logistics companies: a stated preference study to disentangle the impact of accessibility," Journal of Transport Geography, Elsevier, vol. 42(C), pages 110-121.
  19. Palhazi Cuervo, Daniel & Goos, Peter & Sörensen, Kenneth & Arráiz, Emely, 2014. "An iterated local search algorithm for the vehicle routing problem with backhauls," European Journal of Operational Research, Elsevier, vol. 237(2), pages 454-464.
  20. Maya Duque, Pablo A. & Coene, Sofie & Goos, Peter & Sörensen, Kenneth & Spieksma, Frits, 2013. "The accessibility arc upgrading problem," European Journal of Operational Research, Elsevier, vol. 224(3), pages 458-465.
  21. Kalliopi Mylona & Harrison Macharia & Peter Goos, 2013. "Three-level equivalent-estimation split-plot designs based on subset and supplementary difference set designs," IISE Transactions, Taylor & Francis Journals, vol. 45(11), pages 1153-1165.
  22. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.
  23. Roselinde Kessels & Peter Goos & Bradley Jones & Martina Vandebroek, 2011. "Rejoinder: the usefulness of Bayesian optimal designs for discrete choice experiments," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 27(3), pages 197-203, May.
  24. Roselinde Kessels & Bradley Jones & Peter Goos & Martina Vandebroek, 2011. "The usefulness of Bayesian optimal designs for discrete choice experiments," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 27(3), pages 173-188, May.
  25. Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.
  26. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.
  27. Arnouts, Heidi & Goos, Peter, 2010. "Update formulas for split-plot and block designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3381-3391, December.
  28. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2010. "Obtaining more information from conjoint experiments by best-worst choices," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1426-1433, June.
  29. Eric Struyf & Adriaan Smis & Stefan Van Damme & Josette Garnier & Gerard Govers & Bas Van Wesemael & Daniel J. Conley & Okke Batelaan & Elisabeth Frot & Wim Clymans & Floor Vandevenne & Christiane Lan, 2010. "Historical land use change has lowered terrestrial silica mobilization," Nature Communications, Nature, vol. 1(1), pages 1-7, December.
  30. Jie Yu & Peter Goos & Martina Vandebroek, 2009. "Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity," Marketing Science, INFORMS, vol. 28(1), pages 122-135, 01-02.
  31. Bradley Jones & Peter Goos, 2009. "D-optimal design of split-split-plot experiments," Biometrika, Biometrika Trust, vol. 96(1), pages 67-82.
  32. Steven G. Gilmour & Peter Goos, 2009. "Analysis of data from non‐orthogonal multistratum designs in industrial experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 467-484, September.
  33. Kessels, Roselinde & Jones, Bradley & Goos, Peter & Vandebroek, Martina, 2009. "An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 279-291.
  34. Kessels, Roselinde & Goos, Peter & Vandebroek, Martina, 2008. "Optimal designs for conjoint experiments," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2369-2387, January.
  35. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2008. "Models and optimal designs for conjoint choice experiments including a no-choice option," International Journal of Research in Marketing, Elsevier, vol. 25(2), pages 94-103.
  36. Bradley Jones & Peter Goos, 2007. "A candidate‐set‐free algorithm for generating D‐optimal split‐plot designs," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 56(3), pages 347-364, May.
  37. Peter Goos & Alexander Donev, 2007. "$$\mathcal{D}$$ -optimal Minimum Support Mixture Designs in Blocks," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 65(1), pages 53-68, February.
  38. Goos, P. & Donev, A.N., 2006. "Blocking response surface designs," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1075-1088, November.
  39. Peter Goos, 2006. "Optimal versus orthogonal and equivalent‐estimation design of blocked and split‐plot experiments," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 60(3), pages 361-378, August.
  40. Goos, Peter & Kobilinsky, Andre & O'Brien, Timothy E. & Vandebroek, Martina, 2005. "Model-robust and model-sensitive designs," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 201-216, April.
  41. P. Goos & M. Vandebroek, 2002. "How to Design Nighly Informative and Cost-Efficient Industrial Experimemts," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(4), pages 537-556.
  42. Goos, Peter & Vandebroek, Martina, 2001. "-optimal response surface designs in the presence of random block effects," Computational Statistics & Data Analysis, Elsevier, vol. 37(4), pages 433-453, October.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 31 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (14) 2006-03-05 2006-03-18 2007-10-20 2009-01-17 2010-02-20 2010-07-24 2010-11-13 2013-08-31 2014-07-13 2014-11-12 2015-04-25 2016-09-18 2017-11-05 2018-05-21. Author is listed
  2. NEP-DCM: Discrete Choice Models (10) 2009-01-17 2012-02-20 2013-08-31 2013-11-16 2013-12-29 2014-07-13 2014-11-12 2015-04-25 2015-10-04 2016-02-23. Author is listed
  3. NEP-CMP: Computational Economics (9) 2007-10-20 2010-02-20 2012-04-10 2012-11-11 2013-05-05 2013-06-16 2016-02-23 2017-01-01 2018-05-21. Author is listed
  4. NEP-EXP: Experimental Economics (9) 2009-01-17 2010-02-20 2010-02-20 2010-11-13 2013-05-05 2015-01-26 2015-10-04 2016-02-23 2017-01-01. Author is listed
  5. NEP-TRE: Transport Economics (3) 2013-10-18 2013-11-16 2015-01-19
  6. NEP-TUR: Tourism Economics (2) 2012-11-11 2013-11-16
  7. NEP-COM: Industrial Competition (1) 2013-11-16
  8. NEP-EDU: Education (1) 2010-02-20
  9. NEP-ETS: Econometric Time Series (1) 2007-10-20
  10. NEP-GEO: Economic Geography (1) 2013-10-18
  11. NEP-GRO: Economic Growth (1) 2021-11-15
  12. NEP-HEA: Health Economics (1) 2015-10-04
  13. NEP-IAS: Insurance Economics (1) 2015-10-04
  14. NEP-LAB: Labour Economics (1) 2010-02-20
  15. NEP-ORE: Operations Research (1) 2016-09-18
  16. NEP-SOG: Sociology of Economics (1) 2016-09-18
  17. NEP-UPT: Utility Models and Prospect Theory (1) 2016-02-23
  18. NEP-URE: Urban and Real Estate Economics (1) 2013-11-16

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