Dr. C. (Christiaan) Heij

Christiaan Heij
Erasmus School of Economics (ESE)
Erasmus University Rotterdam
Associate Member ERIM
Field: Logistics & Information Systems
Affiliated since 2016

Christiaan Heij is assistant professor in statistics and econometrics at the Econometric Institute. His research and lecturing activities are focused on econometrics and on statistical research methods in economics and business. Some of his more recent research activities are in macroeconimic forecasting, prediction and planning of surgical procedure times, survey effects in opinion polls, and maritime safety. He is chairman of the educational board ("Opleidingscommissie") for econometrics and operations research.

Publications

Article (36)

  • Academic (35)

    • Heij, C., & Knapp, S. (2019). Shipping inspections, detentions, and incidents: an empirical analysis of risk dimensions. Maritime Policy and Management, 46(7), 866-883. https://doi.org/10.1080/03088839.2019.1647362

    • Kim, T., Dekker, R., & Heij, C. (2018). Improving warehouse labour efficiency by intentional forecast bias. International Journal of Physical Distribution and Logistics Management, 48(1), 93-110. https://doi.org/10.1108/IJPDLM-10-2017-0313

    • Heij, C., & Knapp, S. (2018). Predictive power of inspection outcomes for future shipping accidents – An empirical appraisal with special attention for human factor aspects. Maritime Policy and Management, 45, 604-621. https://doi.org/10.1080/03088839.2018.1440441

    • Kim, T., Dekker, R., & Heij, C. (2017). Cross-Border Electronic Commerce: Distance Effects and Express Delivery in European Union Markets. International Journal of Electronic Commerce, 21(2), 184-218. https://doi.org/10.1080/10864415.2016.1234283

    • Kim, TY., Dekker, R., & Heij, C. (2017). Spare part demand forecasting from installed base for consumer goods using installed base Information. Computers and Industrial Engineering, 103, 201-215. https://doi.org/10.1016/j.cie.2016.11.014

    • Knapp, S., & Heij, C. (2017). Evaluation of total risk exposure and insurance premiums in the maritime industry. Transportation Research. Part D, Transport and Environment, 54, 321-334.

    • Exterkate, P., Groenen, P., Heij, C., & van Dijk, D. (2016). Nonlinear forecasting with many predictors using kernel ridge regression. International Journal of Forecasting, 32(3), 736-753. https://doi.org/10.1016/j.ijforecast.2015.11.017

    • Li, X., Dekker, R., Heij, C., & Hekimoglu, M. (2016). Assessing End-Of-Supply Risk of Spare Parts Using the Proportional Hazard Model. Decision Sciences, 47(2), 373-394. https://doi.org/10.1111/deci.12192

    • Heij, C., & Knapp, S. (2015). Effect of wind strength and wave height on ship incident risk: Regional trends and seasonality. Transportation Research. Part D, Transport and Environment, 37, 29-39. https://doi.org/10.1016/j.trd.2015.04.016

    • de Langen, PW., & Heij, C. (2014). Corporatisation and performance: A literature review and an analysis of the performance effects of the corporatisation of Port of Rotterdam Authority. Transport Reviews, 34(3), 396-414. https://doi.org/10.1080/01441647.2014.905650

    • Heij, C., & Knapp, S. (2014). Dynamics in the Dry Bulk Market: Economic Activity, Trade Flows, and Safety in Shipping. Journal of Transport Economics and Policy, 48(3), 499-514.

    • Exterkate, P., van Dijk, D., Heij, C., & Groenen, P. (2013). Forecasting the yield curve in a data-rich environment using the factor-augmented Nelson-Siegel model. Journal of Forecasting, 32(2013), 193-214. https://doi.org/10.1002/for.1258

    • Heij, C., Knapp, S., Henderson, R., & Kleverlaan, E. (2013). Ship incident risk around the heritage regions of Tubbataha and Banc d'Arguin. Transportation Research. Part D, Transport and Environment, 25, 77-83. https://doi.org/10.1016/j.trd.2013.08.001

    • Heij, C., & Knapp, S. (2012). Evaluation of safety and environmental risk at individual ship and company level. Transportation Research. Part D, Transport and Environment, 17(1), 228-236. https://doi.org/10.1016/j.trd.2011.12.003

    • Stepaniak, PS., Heij, C., Buise, MP., Mannearts, GHH., Smulders, JF., & Nienhuijs, SW. (2012). Bariatric surgery with OR teams that stayed fixed during the day: a multicenter study analyzing the effects on patient outcomes, teamwork and safety climate, and procedure duration. Anesthesia & Analgesia, 115(6), 1384-1392. https://doi.org/10.1213/ANE.0b013e31826c7fa6

    • Heij, C., van Dijk, D., & Groenen, P. (2011). Real-time macroeconomic forecasting with leading indicators: An empirical comparison. International Journal of Forecasting, 27(2), 466-481. https://doi.org/10.1016/j.ijforecast.2010.04.008

    • Heij, C., van Dijk, D., & Groenen, P. (2011). Forecasting with leading indicators by means of the principal covariate index. Journal of Business Cycle Measurement and Analysis, 4(1), 73-92. https://doi.org/10.1787/jbcma-2011-5kgdwlpzs79v

    • Knapp, S., Bijwaard, G., & Heij, C. (2011). Estimated incident cost savings in shipping due to inspections. Accident Analysis and Prevention, 43(4), 1532-1539. https://doi.org/10.1016/j.aap.2011.03.005

    • Heij, C., Bijwaard, G., & Knapp, S. (2011). Ship inspection strategies: Effects on marine safety and environmental protection. Transportation Research. Part D, Transport and Environment, 16(1), 42-48. https://doi.org/10.1016/j.trd.2010.07.006

    • Heij, C., & Franses, P. H. (2011). Correcting for Survey Effects in Pre-Election Polls. Statistica Neerlandica, 65(3), 352-370. https://doi.org/10.1111/j.1467-9574.2011.00489.x

    • Stepaniak, PS., Heij, C., & de Vries, G. (2010). Modeling and prediction of surgical procedure times. Statistica Neerlandica, 64(1), 1-18. https://doi.org/10.1111/j.1467-9574.2009.00440.x

    • Stepaniak, PS., Vrijland, W., Quelerij, M., de Vries, G., & Heij, C. (2010). The effect of the scheduling consecutive similar cases and the use of the coherent team function on OR case duration and turnover time. Archives of Surgery, 145(12), 1165-1170.

    • Stepaniak, PS., Heij, C., Mannaerts, GHH., Quelerij, M., & de Vries, G. (2009). Modeling Procedure and Surgical Times for Current Procedural Terminology - Anesthesia-Surgeon Combinations and Evaluation in Terms of Case-Duration Prediction and Operating Room Efficiency: A Multicenter Study. Anesthesia & Analgesia, 109(4), 1232-1245. https://doi.org/10.1213/ANE.0b013e3181b5de07

    • Heij, C., van Dijk, D., & Groenen, P. (2008). Macroeconomic forecasting with matched principal components. International Journal of Forecasting, 24(1), 87-100. https://doi.org/10.1016/j.ijforecast.2007.08.005

    • Heij, C., Groenen, P., & van Dijk, D. (2007). Forecast comparison of principal component regression and principal covariate regression. Computational Statistics & Data Analysis, 51(7), 3612-3625. https://doi.org/10.1016/j.csda.2006.10.019

    • Franses, P. H., & Heij, C. (2003). Estimated parameters do not get an unanticipated sign due to collinearity across included variables. Canadian Journal of Marketing Research, 21(1), 79-81.

    • Heij, C., & Scherrer, W. (1999). Consistency of system identification by global least squares. Automatica (London), 35(6), 993-1008. https://doi.org/10.1016/S0005-1098(99)00006-0

    • Scherrer, W., & Heij, C. (1997). Identification of factor models by behavioural and subspace methods. Systems & Control Letters, 32(5), 335-344.

    • Heij, C., Scherrer, W., & Deistler, M. (1997). System identification by dynamic factor models. SIAM Journal on Control and Optimization, 35(6), 1924-1951.

    • Roorda, B., & Heij, C. (1995). Global total least squares modeling of multivariable time series. IEEE Transactions on Automatic Control, 40(1), 50-63. https://doi.org/10.1109/9.362900

    • Heij, C. (1993). System identifiability from finite time series. Automatica (London), 29(4), 1065-1077. https://doi.org/10.1016/0005-1098(93)90107-5

    • Heij, C. (1993). Identification of noncontrollable systems from impulse response measurements. Mathematics of Control, Signals, and Systems, 6, 76-97. https://doi.org/10.1007/BF01213471

    • Heij, C. (1992). Exact modelling and identifiability of linear systems. Automatica (London), 28(2), 325-344. https://doi.org/10.1016/0005-1098(92)90119-Z

    • Heij, C., Kloek, T., & Lucas, A. (1992). Positivity conditions for stochastic state space modelling of time series. Econometric Reviews, 11(3), 379-396.

    • Heij, C. (1988). Exact modelling of a finite time series. SIAM Journal on Control and Optimization, 26(1), 83-111.

  • Professional (1)

    • Heij, C., Franses, P. H., & Noordegraaf - Eelens, L. (2008). Stijgende verwachtingen, dalende cijfers: Over trends in zelfvertrouwen en prestaties van universitaire studenten. Tijdschrift voor Hoger Onderwijs, 26(4), 216-228.

Book (6)

  • Academic (6)

    • Boswijk, HP., Franses, P. H., & Heij, C. (2008). Voorspellen met modellen. (Zebra 28 ed.) Epsilon Uitgaven. Zebra Vol. 28

    • Heij, C., Ran, ACM., & Schagen, F. (2007). Introduction to Mathematical Systems Theory. Birkhäuser.

    • Heij, C., de Boer, P., Franses, P. H., Kloek, T., & van Dijk, H. (2004). Econometric Methods with Applications in Business and Economics. Oxford University Press.

    • Heij, C., de Boer, P., Franses, P. H., Kloek, T., & van Dijk, H. (2004). Solutions Manual for Econometric Methods with Applications in Business and Economics. Oxford University Press.

    • Heij, C., Schumacher, H., Hanzon, B., & Praagman, K. (1997). System Dynamics in Economic and Financial Models. John Wiley & Sons Inc. Financial Economics and Quantitative Analysis

    • Heij, C. (1989). Deterministic Identification of Dynamical Systems. Springer-Verlag. Lecture Notes in Control and Information Sciences, vol. 127

Chapter (18)

  • Academic (18)

    • Heij, C. (1999). To behave or not to behave: modelling misbehaviour. In J. W. Polderman, & H. L. Trentelman (Eds.), The mathematics of systems and control: From intelligent control to behavioral systems (pp. 43-58). University of Groningen.

    • Heij, C. (1998). Selection of the number of inputs and states. In V. D. Blondel, E. D. Sontag, M. Vidyasagar, & J. C. Willems (Eds.), Open problems in mathematical systems and control theory (pp. 115-119). Springer-Verlag.

    • Scherrer, W., & Heij, C. (1998). Estimation of factor models by realization-based and approximation methods. In A. Beghi, L. Finesso, & G. Picci (Eds.), Mathematical theory of networks and systems (pp. 867-870). Il Poligrafo.

    • Heij, C., & Scherrer, W. (1997). Behavioural approximation of stochastic processes by rank reduced spectra. In M. Peshkin (Ed.), Proceedings of the 35th Conference on Decision and Control, Kobe, Japan. (pp. 707-711). IEEE.

    • Heij, C., Schumacher, H., Hanzon, B., & Praagman, K. (1997). Introduction. In C. Heij, H. Schumacher, B. Hanzon, & K. Praagman (Eds.), System Dynamics in Economic and Financial Models (pp. xvii-xxvi). John Wiley & Sons Inc..

    • Heij, C., Scherrer, W., & Deistler, M. (1997). System identification by dynamic factor models. In M. Peshkin (Ed.), Proceedings of the 36th Conference on Decesion and Control (pp. 157-162). IEEE.

    • Heij, C. (1997). Econometrie in wetenschappelijke praktijk. In H. K. van Dijk, R. Harkema, P. Kooiman, & P. C. Schotman (Eds.), Kritisch & Constructief, 40 jaar grensverkenningen in de econometrie (pp. 249-264). Erasmus Universiteit Rotterdam (EUR).

    • Heij, C., & Scherrer, W. (1996). Consistency of global total least squares in stochastic system identification. In H.-F. Chen, & B. Wahlberg (Eds.), Proceedings IFAC-13th World Congress (pp. 19-24). IFAC.

    • Heij, C. (1994). System identification by approximate realization. In J. Grasman, & G. van Straten (Eds.), Predictability and nonlinear modelling in natural sciences and economics (pp. 312-321). Uitgeverij Kluwer.

    • Heij, C., & Roorda, B. (1994). Noise minimization in factor models. In M. Blanke, & T. Söderström (Eds.), Tenth IFAC symposium on system identification Volume 3 (pp. 203-206). IFAC.

    • Heij, C., & Roorda, B. (1994). A behavioural approach to l2-approximation. In U. Helmke, R. Mennicken, & J. Saurer (Eds.), Systems and networks: Mathematical theory and applications Volume 2 (pp. 207-210). Akademie Verlag.

    • Heij, C. (1991). System identification from an arbitrary observed impulse response. In G. B. Di Masi, A. M. Kurzhanski, & A. Gombani (Eds.), Modelling, Estimation and Control of Systems with Uncertainty, Progress in Systems and Control Theory, vol. 10 (pp. 155-166). Birkhäuser.

    • Heij, C. (1990). System identifiability for the procedure of most powerful unfalsified modelling. In M. A. Kaashoek, J. H. van Schuppen, & A. C. M. Ran (Eds.), Realization and Modelling in System Theory, Progress in Systems and Control Theory, vol. 3 (pp. 437-447). Birkhäuser.

    • Heij, C., & Willems, JC. (1989). A deterministic approach to approximate modelling. In J. C. Willems (Ed.), From Data to Model (pp. 49-134). Springer-Verlag.

    • Heij, C., & Willems, JC. (1988). Consistency analysis of approximate modelling procedures. In C. F. Martin, R. E. Saeks, & C. I. Byrnes (Eds.), Linear Circuits, Systems and Signal Processing: Theory and Application (pp. 445-456). North-Holland Publishing Company.

    • Heij, C. (1987). Approximate modelling of deterministic systems. In R. F. Curtain (Ed.), Modelling, Robustness and Sensitivity Reduction in Control Systems (pp. 271-283). Springer-Verlag.

    • Willems, JC., & Heij, C. (1986). 2-systems and their scattering representation. In H. Bart, I. Gohberg, & M. A. Kaashoek (Eds.), Operator theory and systems, Operator Theory: Advances and Applications, vol. 19 (pp. 443-448). Birkhäuser.

    • Willems, JC., & Heij, C. (1986). Scattering theory and approximation of linear systems. In C. I. Byrnes, & A. Lindquist (Eds.), Modelling, Identification and Robust Control (pp. 397-411). North-Holland Publishing Company.

Conference proceeding (9)

  • Academic (9)

    • Heij, C., & Scherrer, W. (1994). On the consistency of identification by dynamic factor models. In Proceedings 33-rd Conference on Decision and Control (pp. 2880-2885). IEEE.

    • Roorda, B., & Heij, C. (1993). On 2-optimal approximate modelling of vector time series. In Proceedings 2-nd European Control Conference (pp. 1219-1224). ECC.

    • Roorda, B., & Heij, C. (1993). The 2-optimal approximate modelling problem. In Proceedings 32-nd Conference on Decision and Control (pp. 3648-3651). IEEE.

    • Heij, C., & Roorda, B. (1991). A modified canonical correlation approach to approximate state space modelling. In Proceedings of the 30-th Conference on Decision and Control, IEEE (pp. 1343-1348). IEEE.

    • Heij, C. (1991). The realization problem for non-causal systems. In Proceedings 30-th Conference on Decision and Control (pp. 9-10). IEEE.

    • Heij, C., & Willems, JC. (1990). On the specification of goodness of fit for linear systems. In Ü. Jaakso, & V. I. Utkin (Eds.), Automatic Control, vol. II (pp. 245-250). IFAC.

    • Heij, C. (1989). Corroboration, compatibility and system identifiability for multiple observed finite time series. In V. Strejc (Ed.), System Structure and Control: State-space and Polynomial Methods (pp. 87-89). IFAC.

    • Heij, C. (1988). On identifiability of finite dimensional linear systems. In Proceedings 27-th Conference on Decision and Control (pp. 1823-1826). IEEE.

    • Heij, C. (1986). Exact modelling of a finite data sequence. In Proceedings 25-th Conference on Decision and Control (pp. 1743-1744). IEEE.

Report (32)

  • Academic (32)

    • Knapp, S., & Heij, C. (2019). Improved strategies for the maritime industry to target vessels for inspection and to select inspection priority areas. (Econometric Institute Research Papers EI2019-21 ed.) Econometric Institute. http://hdl.handle.net/1765/118715

    • Kim, T., Dekker, R., & Heij, C. (2016). The impact of forecasting errors on warehouse labor efficiency: A case study in consumer electronics. (EI report serie EI2016-10 ed.) Econometric Institute. EI report serie Vol. EI2016-10

    • Kim, T., Dekker, R., & Heij, C. (2016). Spare part demand forecasting for consumer goods using installed base information. (EI report serie EI2016-11 ed.) Econometric Institute. EI report serie Vol. EI2016-11

    • Heij, C., & Knapp, S. (2014). Dynamic in the Dry Bulk Market: Economic Activity, Trade Flows, and Safety in Shipping. (EI reprint serie EI-1612 ed.) Economic Institute. EI reprint serie Vol. EI-1612

    • Heij, C., & Knapp, S. (2014). Effects of Wind Strength and Wave Height on Ship Incident Risk: Regional Trends and Seasonality. (EI report serie EI 2014-15 ed.) Econometric Institute.

    • Exterkate, P., van Dijk, D., Heij, C., & Groenen, P. (2013). Forecasting the Yield Curve in a Data-Rich Environment Using the Factor-Augmented Nelson-Siegel Model. (EI reprint serie EI-1598 ed.) Econometric Institute.

    • Kim, TY., Dekker, R., & Heij, C. (2013). The Impact of Forecasting Errors on Warehouse Labor Efficiency: A Case Study in Consumer Electronics. (EI report serie EI 2013-15 ed.) Econometric Institute. EI report serie Vol. EI 2013-15

    • Knapp, S., Heij, C., Henderson, R., & Kleverlaan, E. (2013). Ship incident risk in the areas of Tubbataha and Banc d' Arguin: A case for designation as particular sensitive sea area. (EI report serie EI 2013-16 ed.) Econometric Institute. EI report serie Vol. EI 2013-16

    • Heij, C., & Knapp, S. (2012). Dynamics in the Dry Bulk Market: Economic Activicy, Trade Flows, and Safety in Shipping. (EI report serie EI 2012-18 ed.) Econometric Institute. EI report serie Vol. EI 2012-18

    • Stepaniak, PS., Heij, C., Buise, MP., Mannaerts, GHH., Smulders, JF., & Nienhuijs, SW. (2012). Bariatric Surgery with Operating Room Teams that Stayed Fixed During the Day: A Multicenter Study Analyzing the Effects on Patient Outcomes, Teamwork and Safety Climate, and Procedure Duration. (EI reprint serie EI-1594 ed.) Econometric Institute. EI reprint serie Vol. EI-1594

    • Heij, C., van Dijk, D., & Groenen, P. (2011). Forecasting with Leading Indicators by means of the Principal Covariate Index. (EI reprint reeks EI-1563 ed.) Econometric Institute. EI reprint reeks Vol. EI-1563

    • Knapp, S., Bijwaard, G., & Heij, C. (2011). Estimated incident cost savings in shipping due to inspections. (EI reprint reeks EI-1561 ed.) Econometric Institute. EI reprint reeks Vol. EI-1561

    • Heij, C., & Knapp, S. (2011). Risk Evaluation at Individual Ship and Company Level. (EI report serie EI 2011-23 ed.) Econometric Institute. EI report serie Vol. EI 2011-23

    • Heij, C., & Franses, P. H. (2011). Correcting for Survey Effects in Pre-Election Polls. (EI reprint reeks EI-1564 ed.) Econometric Institute. EI reprint reeks Vol. EI-1564

    • Heij, C., van Dijk, D., & Groenen, P. (2009). Macroeconomic forecasting with matched principal components. (EI reprint reeks EI-1499 ed.) DEPARTMENT OF ECONOMETRICS. EI reprint reeks Vol. EI-1499

    • Heij, C., van Dijk, D., & Groenen, P. (2009). Macroeconomic Forecasting with Real-Time Data: An Empirical Comparison. (EI report serie EI 2009-27 ed.) DEPARTMENT OF ECONOMETRICS. EI report serie Vol. EI 2009-27

    • Veenman, J., & Heij, C. (2008). Immigrant gender convergence in education and on the labor market. (Econometric Institute Research Papers EI 2008-16 ed.) Econometrics. Econometric Institute Research Papers Vol. EI 2008-16 http://hdl.handle.net/1765/13052

    • Heij, C., Groenen, P., & van Dijk, D. (2007). Forecast comparison of principal component regression and principal covariate regression. (Econometric Institute Reprint EI-1498 ed.) Econometrics. Econometric Institute Reprint Vol. EI-1498

    • Heij, C., van Dijk, D., & Groenen, P. (2007). Improved forecasting with leading indicators: the principal covariate index. (Econometric Institute Report EI 2007-23 ed.) Econometrics. Econometric Institute Report Vol. EI 2007-23

    • Clarijs, P., Hogeling, BA., Franses, P. H., & Heij, C. (2007). Evaluation of survey effects in pre-election polls. (EI report serie EI 2007-50 ed.) Econometrics. EI report serie Vol. EI 2007-50

    • Heij, C., van Dijk, D., & Groenen, P. (2006). Improved construction of diffusion indexes for macroeconomic forecasting. (Econometric Institute Report EI 2006-03 ed.) Econometrics. Econometric Institute Report Vol. EI 2006-03

    • Heij, C., Groenen, P., & van Dijk, D. (2006). Time series forecasting by principal covariate regression. (Econometric Institute Report EI 2006-37 ed.) Econometrics. Econometric Institute Report Vol. EI 2006-37

    • Heij, C., & Franses, P. H. (2006). Prediction beyond the survey sample: correcting for survey effects on consumer decisions. (Econometric Institute Report EI 2006-48 ed.) Econometrics. Econometric Institute Report Vol. EI 2006-48

    • Heij, C., Groenen, P., & van Dijk, D. (2005). Forecast comparison of principal component regression and principal covariate regression. (Econometric Institute Report Serie EI 2005-28 ed.) Econometrics. Econometric Institute Report Serie Vol. EI 2005-28

    • Franses, P. H., & Heij, C. (2002). Estimated, parameters do not get the 'wrong sign' due to collinearity across included variables. (ERIM Report Series 2002 31-MKT ed.) ERIM Report Series 2002 Vol. 31-MKT

    • Scherrer, W., & Heij, C. (1998). Estimation of factor models by realization-based and approximation methods. (Econometric Institute 9831 ed.) Econometric Institute Vol. 9831

    • Scherrer, W., & Heij, C. (1997). Identification of system behaviours by approximation of time series data. (Econometric Institute 9710/A ed.) Erasmus University Rotterdam (EUR). Econometric Institute Vol. 9710/A

    • Heij, C., Scherrer, W., & Deistler, M. (1997). System identification by dynamic factor models. (Econometric Institute 9744/A ed.) Econometric Institute Vol. 9744/A

    • Heij, C., & Scherrer, W. (1996). Behavioural approximation of stochastic processes by rank reduced spectra. (Econometric Institute 9610/A ed.) Econometric Institute Vol. 9610/A

    • Heij, C., van Regenmortel, M., Steehouwer, H., Voeten, V., & de Wijs, S. (1996). Onzekerheid over de baten van de Betuwelijn. (Econometric Institute 9613/A ed.) Econometric Institute Vol. 9613/A

    • Heij, C., & Scherrer, W. (1996). Consistency of system identification by global total least squares. (Econometric Institute 9635/A ed.) Econometric Institute Vol. 9635/A

    • Heij, C., & Scherrer, W. (1995). Consistency of global total least squares in stochastic system identification. (Discussion Paper TI 9522/A ed.) Discussion Paper Vol. TI 9522/A

Working paper (6)

  • Academic (6)

    • Heij, C., van Dijk, D., & Groenen, P. (2011). Real-Time Macroeconomic Forecasting with Leading Indicators: An Empirical Comparison. Econometric Institute. EI reprint reeks Vol. EI-1555

    • Exterkate, P., Groenen, P., Heij, C., & van Dijk, D. (2011). Nonlinear forecasting with many predictors using kernel ridge regression. Tinbergen Institute.

    • Heij, C., & Knapp, S. (2011). Risk evaluation methods at individual ship and company level. Econometric Institute. Econometric Institute Report Vol. EI2011-23

    • Exterkate, P., van Dijk, D., Heij, C., & Groenen, P. (2010). Forecasting the yield curve in a data-rich environment using the factor-augmented Nelson-Siegel model. (pp. 1-40). DEPARTMENT OF ECONOMETRICS. EI report serie Vol. EI 2010-06

    • Knapp, S., Bijwaard, G., & Heij, C. (2010). Estimated incident cost savings in shipping due to inspections. (pp. 1-25). DEPARTMENT OF ECONOMETRICS. EI report serie Vol. EI 2010-28

    • Heij, C., & Franses, P. H. (2010). Correcting for survey effects in pre-election polls. (pp. 1-42). DEPARTMENT OF ECONOMETRICS. EI report serie Vol. EI 2010-20

Additional activities (1)

  • How does co-creation with customers contribute to a firm's disruptive innovation performance? The moderating role of customer market power

    Oral presentation (Academic)

PhD Track (1)

Dynamic Decision Making under Supply Chain Competition
  • Role: Member Doctoral Committee
  • PhD Candidate: Xishu Li
  • Time frame: 2013 - 2019

Address

Visiting address

Office: ET-30
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands

Latest publication

Article

Heij, C., & Knapp, S. (2019). Shipping inspections, detentions, and incidents: an empirical analysis of risk dimensions. Maritime Policy and Management, 46(7), 866-883. https://doi.org/10.1080/03088839.2019.1647362