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Jonas Andersson

Personal Details

First Name:Jonas
Middle Name:
Last Name:Andersson
Suffix:
RePEc Short-ID:pan235
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Affiliation

Institutt for foretaksøkonomi
Norges Handelshøyskole (NHH)

Bergen, Norway
http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspx

: +47 55 95 92 93
+47 55 95 96 50
Helleveien 30, N-5045 Bergen
RePEc:edi:dfnhhno (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Assmann, Lisa & Andersson, Jonas & Eskeland, Gunnar S., 2015. "Missing in Action? Speed optimization and slow steaming in maritime shipping," Discussion Papers 2015/13, Norwegian School of Economics, Department of Business and Management Science.
  2. Cheng, Xiaomei & Andersson, Jonas & Bjørndal, Endre, 2015. "On the Distributional Assumptions in the StoNED model," Discussion Papers 2015/24, Norwegian School of Economics, Department of Business and Management Science.
  3. Ubøe, Jan & Andersson, Jonas & Jörnsten, Kurt & Lillestøl, Jostein & Sandal, Leif K., 2014. "Probabilistic cost efficiency and bounded rationality in the newsvendor model," Discussion Papers 2014/41, Norwegian School of Economics, Department of Business and Management Science.
  4. Li, Yushu & Andersson, Jonas, 2014. "A Likelihood Ratio and Markov Chain Based Method to Evaluate Density Forecasting," Discussion Papers 2014/12, Norwegian School of Economics, Department of Business and Management Science.
  5. Andersson, Jonas & Jörnsten, Kurt & Nonås, Sigrid Lise & Sandal, Leif K. & Ubøe, Jan, 2011. "A maximum entropy approach to the newsvendor problem with partial information," Discussion Papers 2011/14, Norwegian School of Economics, Department of Business and Management Science.
  6. Andersson, Jonas & Ubøe, Jan, 2010. "Some aspects of random utility, extreme value theory and multinomial logit models," Discussion Papers 2010/1, Norwegian School of Economics, Department of Business and Management Science.
  7. Andersson, Jonas & Jörnsten, Kurt & Strandenes, Siri Pettersen & Ubøe, Jan, 2009. "Modeling Freight Markets for Coal," Discussion Papers 2008/26, Norwegian School of Economics, Department of Business and Management Science.
  8. Andersson, Jonas & Møen, Jarle, 2009. "A simple improvement of the IV estimator for the classical errors-in-variables problem," Discussion Papers 2009/10, Norwegian School of Economics, Department of Business and Management Science.
  9. Andersson, Jonas & Karlis, Dimitris, 2008. "Treating missing values in INAR(1) models," Discussion Papers 2008/14, Norwegian School of Economics, Department of Business and Management Science.
  10. Lillestøl, Jostein & Andersson, Jonas, 2008. "A regression surprise resolved," Discussion Papers 2008/16, Norwegian School of Economics, Department of Business and Management Science.
  11. Andersson, Jonas & Moberg, Jan-Magnus, 2007. "Structural breaks in point processes: With an application to reporting delays for trades on the New York stock exchange," Discussion Papers 2007/28, Norwegian School of Economics, Department of Business and Management Science.
  12. Andersson, Jonas, 2007. "On the estimation of correlations for irregularly spaced time series," Discussion Papers 2007/19, Norwegian School of Economics, Department of Business and Management Science.
  13. Andersson, Jonas, 2004. "Testing for Granger causality in the presence of measurement errors," Discussion Papers 2004/11, Norwegian School of Economics, Department of Business and Management Science.
  14. Andersson, Jonas & Lyhagen, Johan, 1999. "A long memory panel unit root test: PPP revisited," SSE/EFI Working Paper Series in Economics and Finance 303, Stockholm School of Economics.

Articles

  1. Jonas Andersson & Jarle Møen, 2016. "A Simple Improvement of the IV-estimator for the Classical Errors-in-Variables Problem," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 113-125, February.
  2. Andersson, Jonas & Jörnsten, Kurt & Nonås, Sigrid Lise & Sandal, Leif & Ubøe, Jan, 2013. "A maximum entropy approach to the newsvendor problem with partial information," European Journal of Operational Research, Elsevier, vol. 228(1), pages 190-200.
  3. Jonas Andersson & Dimitris Karlis, 2010. "Treating missing values in INAR(1) models: An application to syndromic surveillance data," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(1), pages 12-19, January.
  4. Mike Adams & Jonas Andersson & Lars-Fredrik Andersson & Magnus Lindmark, 2009. "Commercial banking, insurance and economic growth in Sweden between 1830 and 1998," Accounting History Review, Taylor & Francis Journals, vol. 19(1), pages 21-38.
  5. Jan Ubøe & Jonas Andersson & Kurt Jörnsten & Siri Pettersen Strandenes, 2009. "Modeling freight markets for coal," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(3), pages 289-301, September.
  6. Jonas Andersson, 2006. "Searching for the DGP when forecasting - Is it always meaningful for small samples?," Economics Bulletin, AccessEcon, vol. 3(28), pages 1-9.
  7. Jonas Andersson, 2005. "Testing for Granger causality in the presence of measurement errors," Economics Bulletin, AccessEcon, vol. 3(47), pages 1-13.
  8. Andersson, Jonas, 2002. "An improvement of the GPH estimator," Economics Letters, Elsevier, vol. 77(1), pages 137-146, September.
  9. Andersson, Jonas, 2001. "On the Normal Inverse Gaussian Stochastic Volatility Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 44-54, January.

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. Andersson, Jonas & Jörnsten, Kurt & Nonås, Sigrid Lise & Sandal, Leif K. & Ubøe, Jan, 2011. "A maximum entropy approach to the newsvendor problem with partial information," Discussion Papers 2011/14, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Guanghua Han & Xujin Pu & Bo Fan, 2017. "Sustainable Governance of Organic Food Production When Market Forecast Is Imprecise," Sustainability, MDPI, Open Access Journal, vol. 9(6), pages 1-20, June.
    2. Fleischhacker, Adam J. & Fok, Pak-Wing, 2015. "On the relationship between entropy, demand uncertainty, and expected loss," European Journal of Operational Research, Elsevier, vol. 245(2), pages 623-628.
    3. Kamburowski, Jerzy, 2014. "The distribution-free newsboy problem under the worst-case and best-case scenarios," European Journal of Operational Research, Elsevier, vol. 237(1), pages 106-112.
    4. András Prékopa & Anh Ninh & Gabriela Alexe, 2016. "On the relationship between the discrete and continuous bounding moment problems and their numerical solutions," Annals of Operations Research, Springer, vol. 238(1), pages 521-575, March.
    5. Weiwei Zhang & Zhongfei Li & Ke Fu & Fan Wang, 2017. "Effect of the Return Policy in a Continuous-Time Newsvendor Problem," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(06), pages 1-28, December.
    6. Qiu, Ruozhen & Sun, Minghe & Lim, Yun Fong, 2017. "Optimizing (s, S) policies for multi-period inventory models with demand distribution uncertainty: Robust dynamic programing approaches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 880-892.
    7. Tao Wang & Jian-sheng Chen & Ting Wang & Shuang Wang, 2015. "Entropy weight-set pair analysis based on tracer techniques for dam leakage investigation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 747-767, March.

  2. Andersson, Jonas & Jörnsten, Kurt & Strandenes, Siri Pettersen & Ubøe, Jan, 2009. "Modeling Freight Markets for Coal," Discussion Papers 2008/26, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Haiying Jia & Ove Daae Lampe & Veronika Solteszova & Siri P. Strandenes, 2017. "An automatic algorithm for generating seaborne transport pattern maps based on AIS," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 619-630, December.
    2. Katarzyna Kopczewska, 2013. "Roads as Channels of Centrifugal Policy Transfer: A Spatial Interaction Model Revised," Contemporary Economics, University of Finance and Management in Warsaw, vol. 7(3), September.
    3. Sahar Babri & Kurt Jørnsten & Michael Viertel, 2017. "Application of gravity models with a fixed component in the international trade flows of coal, iron ore and crude oil," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 334-351, June.

  3. Andersson, Jonas & Møen, Jarle, 2009. "A simple improvement of the IV estimator for the classical errors-in-variables problem," Discussion Papers 2009/10, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Federico Crudu, 2017. "Errors-in-Variables Models with Many Proxies," Department of Economics University of Siena 774, Department of Economics, University of Siena.
    2. Andersson, Jonas & Møen, Jarle, 2009. "A simple improvement of the IV estimator for the classical errors-in-variables problem," Discussion Papers 2009/10, Norwegian School of Economics, Department of Business and Management Science.

  4. Andersson, Jonas, 2004. "Testing for Granger causality in the presence of measurement errors," Discussion Papers 2004/11, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Bovi, Maurizio, 2013. "Are the representative agent’s beliefs based on efficient econometric models?," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 633-648.
    2. Hoxha Adriatik, 2010. "Causal relationship between prices and wages: VECM analysis for Germany," EuroEconomica, Danubius University of Galati, issue 26, pages 90-106, November.
    3. Daniel Ventosa-Santaulària & José Eduardo Vera-Valdés, 2008. "Granger-Causality in the presence of structural breaks," Economics Bulletin, AccessEcon, vol. 3(61), pages 1-14.
    4. Fredrik N. G. Andersson & Katarzyna Burzynska & Sonja Opper, 2016. "Lending for growth? A Granger causality analysis of China’s finance–growth nexus," Empirical Economics, Springer, vol. 51(3), pages 897-920, November.

  5. Andersson, Jonas & Lyhagen, Johan, 1999. "A long memory panel unit root test: PPP revisited," SSE/EFI Working Paper Series in Economics and Finance 303, Stockholm School of Economics.

    Cited by:

    1. Jönsson, Kristian, 2003. "Cross-sectional dependency and size distortion in a small-sample homogeneous panel-data unit root test," Working Papers 2003:10, Lund University, Department of Economics.
    2. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.

Articles

  1. Jonas Andersson & Jarle Møen, 2016. "A Simple Improvement of the IV-estimator for the Classical Errors-in-Variables Problem," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 113-125, February.
    See citations under working paper version above.
  2. Andersson, Jonas & Jörnsten, Kurt & Nonås, Sigrid Lise & Sandal, Leif & Ubøe, Jan, 2013. "A maximum entropy approach to the newsvendor problem with partial information," European Journal of Operational Research, Elsevier, vol. 228(1), pages 190-200.
    See citations under working paper version above.
  3. Jonas Andersson & Dimitris Karlis, 2010. "Treating missing values in INAR(1) models: An application to syndromic surveillance data," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(1), pages 12-19, January.

    Cited by:

    1. Scotto, Manuel G. & Weiß, Christian H. & Silva, Maria Eduarda & Pereira, Isabel, 2014. "Bivariate binomial autoregressive models," Journal of Multivariate Analysis, Elsevier, vol. 125(C), pages 233-251.

  4. Mike Adams & Jonas Andersson & Lars-Fredrik Andersson & Magnus Lindmark, 2009. "Commercial banking, insurance and economic growth in Sweden between 1830 and 1998," Accounting History Review, Taylor & Francis Journals, vol. 19(1), pages 21-38.

    Cited by:

    1. Wanat, Stanisław & Papież, Monika & Śmiech, Sławomir, 2016. "Insurance Market Development and Economic Growth in Transition Countries: Some new evidence based on bootstrap panel Granger causality test," MPRA Paper 69051, University Library of Munich, Germany.
    2. Pradhan, Rudra P. & Arvin, Mak B. & Norman, Neville R., 2015. "Insurance development and the finance-growth nexus: Evidence from 34 OECD countries," Journal of Multinational Financial Management, Elsevier, vol. 31(C), pages 1-22.
    3. Shrutikeerti Kaushal & Amlan Ghosh, 2016. "Financial Institutions and Economic Growth: An Empirical Analysis of Indian Economy in the Post Liberalized Era," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1003-1013.
    4. Lars-Fredrik Andersson & Liselotte Eriksson, 2015. "The compulsory public pension and the demand for life insurance: the case of Sweden, 1884–1914," Economic History Review, Economic History Society, vol. 68(1), pages 244-263, February.
    5. Rudra P. Pradhan & Mak B. Arvin & Sahar Bahmani & Sara E. Bennett & John H. Hall, 2017. "Insurance–growth nexus and macroeconomic determinants: evidence from middle-income countries," Empirical Economics, Springer, vol. 52(4), pages 1337-1366, June.
    6. Mehmet Balcilar & Rangan Gupta & Chien-Chiang Lee & Godwin Olasehinde-Williams, 2018. "Insurance-Growth Nexus in Africa," Working Papers 201801, University of Pretoria, Department of Economics.
    7. Phutkaradze Jaba, 2014. "Impact of Insurance Market on Economic Growth in Post-Transition Countries," International Journal of Management and Economics, De Gruyter Open, vol. 44(1), pages 92-105, December.
    8. Lee, Chien-Chiang & Lee, Chi-Chuan & Chiu, Yi-Bin, 2013. "The link between life insurance activities and economic growth: Some new evidence," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 405-427.
    9. J. François Outreville, 2011. "The relationship between insurance growth and economic development - 80 empirical papers for a review of the literature," ICER Working Papers 12-2011, ICER - International Centre for Economic Research.
    10. Rudra P. Pradhan, Mak B. Arvin, John H. Hall and Neville R. Norman, 2017. "Insurance Market Development and Macroeconomic Interactions in Twenty-Six Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 42(4), pages 23-57, December.
    11. Idrissa OUEDRAOGO & Samuel GUERINEAU & Relwende SAWADOGO, 2016. "Life Insurance Development and Economic Growth: Evidence from Developing Countries," Working Papers 201616, CERDI.
    12. Pradhan, Rudra P. & Arvin, Mak B. & Nair, Mahendhiran & Hall, John H. & Gupta, Atul, 2017. "Is there a link between economic growth and insurance and banking sector activities in the G-20 countries?," Review of Financial Economics, Elsevier, vol. 33(C), pages 12-28.
    13. Lee, Chien-Chiang & Chiu, Yi-Bin, 2012. "The impact of real income on insurance premiums: Evidence from panel data," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 246-260.
    14. Lee, Chien-Chiang & Huang, Wei-Ling & Yin, Chun-Hao, 2013. "The dynamic interactions among the stock, bond and insurance markets," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 28-52.

  5. Jan Ubøe & Jonas Andersson & Kurt Jörnsten & Siri Pettersen Strandenes, 2009. "Modeling freight markets for coal," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(3), pages 289-301, September.
    See citations under working paper version above.
  6. Jonas Andersson, 2005. "Testing for Granger causality in the presence of measurement errors," Economics Bulletin, AccessEcon, vol. 3(47), pages 1-13.
    See citations under working paper version above.
  7. Andersson, Jonas, 2002. "An improvement of the GPH estimator," Economics Letters, Elsevier, vol. 77(1), pages 137-146, September.

    Cited by:

    1. John Goddard & Enrico Onali, 2014. "Self-affinity in financial asset returns," Papers 1401.7170, arXiv.org.

  8. Andersson, Jonas, 2001. "On the Normal Inverse Gaussian Stochastic Volatility Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 44-54, January.

    Cited by:

    1. Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series 582, Center for Financial Studies (CFS).
    2. Malmsten, Hans & Teräsvirta, Timo, 2004. "Stylized Facts of Financial Time Series and Three Popular Models of Volatility," SSE/EFI Working Paper Series in Economics and Finance 563, Stockholm School of Economics, revised 03 Sep 2004.
    3. Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models," CIRJE F-Series CIRJE-F-738, CIRJE, Faculty of Economics, University of Tokyo.
    4. Yang Minxian, 2011. "Volatility Feedback and Risk Premium in GARCH Models with Generalized Hyperbolic Distributions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-21, May.
    5. Lars Forsberg & Anders Eriksson, 2004. "The Mean Variance Mixing GARCH (1,1) model," Econometric Society 2004 Australasian Meetings 323, Econometric Society.
    6. Ruiz, Esther & Veiga, Helena, 2008. "Modelling long-memory volatilities with leverage effect: A-LMSV versus FIEGARCH," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2846-2862, February.
    7. Shiyi Chen & Wolfgang K. Härdle & Kiho Jeong, 2010. "Forecasting volatility with support vector machine-based GARCH model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 406-433.
    8. Rehim Kilic, 2011. "A conditional variance tale from an emerging economy's freely floating exchange rate," Applied Economics, Taylor & Francis Journals, vol. 43(19), pages 2465-2480.
    9. Fiszeder, Piotr & Perczak, Grzegorz, 2016. "Low and high prices can improve volatility forecasts during periods of turmoil," International Journal of Forecasting, Elsevier, vol. 32(2), pages 398-410.
    10. Guo, Zi-Yi, 2017. "Empirical Performance of GARCH Models with Heavy-tailed Innovations," EconStor Preprints 167626, ZBW - German National Library of Economics.
    11. N. Balakrishna & Bovas Abraham & Ranjini Sivakumar, 2006. "Gamma stochastic volatility models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(3), pages 153-171.
    12. Nakajima, Jouchi & Omori, Yasuhiro, 2012. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3690-3704.
    13. Patricia Lengua & Cristian Bayes & Gabriel Rodríguez, 2015. " A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
    14. Nakajima Jouchi, 2013. "Stochastic volatility model with regime-switching skewness in heavy-tailed errors for exchange rate returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 499-520, December.
    15. Krämer, Walter & Messow, Philip, 2012. "Structural Change and Spurious Persistence in Stochastic Volatility," Ruhr Economic Papers 310, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. Lars Forsberg & Tim Bollerslev, 2002. "Bridging the gap between the distribution of realized (ECU) volatility and ARCH modelling (of the Euro): the GARCH-NIG model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 535-548.
    17. Lars Stentoft, 2008. "American Option Pricing Using GARCH Models and the Normal Inverse Gaussian Distribution," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 6(4), pages 540-582, Fall.
    18. Pentti Saikkonen & Markku Lanne, 2004. "A Skewed GARCH-in-Mean Model: An Application to U.S. Stock Returns," Econometric Society 2004 North American Summer Meetings 469, Econometric Society.
    19. Homm, Ulrich & Pigorsch, Christian, 2012. "Beyond the Sharpe ratio: An application of the Aumann–Serrano index to performance measurement," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2274-2284.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 10 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 (6) 1999-02-22 2007-09-09 2008-01-05 2008-08-21 2009-11-14 2014-04-11. Author is listed
  2. NEP-ETS: Econometric Time Series (4) 1999-02-15 2007-09-09 2008-08-21 2014-04-11
  3. NEP-FOR: Forecasting (2) 2008-08-21 2014-04-11
  4. NEP-CBE: Cognitive & Behavioural Economics (1) 2015-01-19
  5. NEP-DCM: Discrete Choice Models (1) 2010-04-17
  6. NEP-ENE: Energy Economics (1) 2009-02-22
  7. NEP-GER: German Papers (1) 2014-04-11
  8. NEP-HPE: History & Philosophy of Economics (1) 2010-04-17
  9. NEP-ORE: Operations Research (1) 2014-04-11
  10. NEP-TRE: Transport Economics (1) 2015-03-22
  11. NEP-UPT: Utility Models & Prospect Theory (1) 2010-04-17

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