van der Velden, P.G., Das, M., & Muffels, R. (2019). The stability of mental health problems among Dutch 19-24 years students and non-students in the past decade, Psychiatry Research, forthcoming.

van der Velden, P.G., Oudejans, M., Das, M., Bosmans, M., & Maercker, A. (2019). The longitudinal effect of social recognition on PTSD symptomatology and vice versa: evidence from a population-based study, Psychiatry Research, 279, 287-294, DOI: https://doi.org/10.1016/j.psychres.2019.05.044.

van der Genugten, B.B., & Das, M. (2019). Strategie bij het bordspel Mens-erger-je-niet, STAtOR, 20(2), 4-9: Vereniging voor Statistiek en Operations Research.

van der Velden, P.G., Das, M., Contino, C., & van der Knaap, L. (2019). From health to financial problems: multi-problems among victims of partner and non-partner physical violence, and matched non-victims, Journal of Interpersonal Violence, forthcoming.

van der Velden, P.G., Setti, I., Das, M., & van der Meulen, E. (2019). Does social networking sites use predict mental health and sleep problems when prior problems and loneliness are taken into account? A population-based prospective study, Computers in Human Behavior, 93, 200-209, DOI: 10.1016/j.chb.2018.11.047.

Bosnjak, M., Das, M., & Lynn, P. (2016). Methods for probability-based online and mixed-mode Panels: Selected recent trends and future perspectives, Social Science Computer Review, 34(1), 3-7, DOI: 10.1177/0894439315579246.

Blom, A.G., Bosnjak, M., Cornillieau, A., Cousteaux, A-S, Das, M., Douhou, S., & Krieger, U. (2016). A comparison of four probability-based online and mixed-mode panels in Europe, Social Science Computer Review, 34(1), 8-25.

Das, M., & Couper, M.P. (2014). Optimizing opt-out consent for record linkage, Journal of Official Statistics, 30(3), 1-20.

Das, M. (2012). Innovation in online data collection for scientific research: The Dutch MESS project, Methodological Innovations Online, 7(1), 7 - 24.

Das, M., Toepoel, V., & van Soest, A. (2011). Nonparametric tests of panel conditioning and attrition bias in panel surveys, Sociological Methods and Research, 40(1), 32 - 56.

Toepoel, V., Das, M., & van Soest, A. (2009). Relating question type to panel conditioning: A comparison between trained and fresh respondents, Survey Research Methods, 3(2), 73 - 80.

Toepoel, V., Das, M., & van Soest, A. (2009). Design of web questionnaires: The effects of the number of items per screen, Field Methods, 21(2), 200 - 213.

Toepoel, V., Das, M., & van Soest, A. (2009). Design of web questionnaires: The effect of layout in rating scales, Journal of Official Statistics, 25(4), 509-528.

Toepoel, V., Das, M., Vis, C., & van Soest, A. (2009). Design of web questionnaires: An information-processing perspective for the effect of response categories, Sociological Methods and Research, 37(3), 371-392, DOI: 10.1177/0049124108327123.

Toepoel, V., Das, M., & van Soest, A. (2008). Effects of design in web surveys: Comparing trained and fresh respondents, Public Opinion Quarterly, 72(5), 985–1007, DOI: 10.1093/poq/nfn060.

Das, M., & Scherpenzeel, A. (2006). Innovatief internetpanel van start, STAtOR, 7(4), 9-12: Vereniging voor Statistiek en Operations Research.

van Soest, A., Das, M., & Gong, X. (2002). A structural labour supply model with flexible preferences, Journal of Econometrics, Annals issue on Information and Entropy Econometrics, 107, 345–374.

van Soest, A., & Das, M. (2001). Family labor supply and proposed tax reforms in the Netherlands, De Economist, 149, 191-218.

van Soest, A., & Das, M. (1999). A panel data model for subjective information on household income growth, Journal of Economic Behavior and Organization, 40, 409-426.

Das, M., & Donkers, B. (1999). How certain are Dutch households about future income? An empirical analysis, Review of Income and Wealth, 45, 325-338.

Das, M., Dominitz, J., & van Soest, A. (1999). Comparing predictions and outcomes: Theory and application to income changes, Journal of the American Statistical Association, 94, 75-85.

Das, M., & van Soest, A. (1997). Expected and realized income changes: Evidence from the Dutch socio-economic panel, Journal of Economic Behavior and Organization, 32, 137-154.

Das, M., Ester, P., & Kaczmirek, L. (2011). Social and behavioral research and the internet: Advances in applied methods and new research strategies (pp. 435). Boca Raton: Taylor & Francis.

van der Genugten, B.B., Das, M., & Borm, P.E.M. (2001). Behendig gokken in en rond het casino: Academic Service, ISBN: 9039515719.

Das, M., & van Soest, A. (2000). Expected versus Realized Income Expectations: A Test of the Rational Expectations Hypothesis (CentER Discussion Paper 2000/105): CentER, Tilburg University.

Gneezy, U., & Das, M. (1996). Experimental investigation of perceived risk in finite random walk processes (CentER Discussion Paper No. 96-85): Tilburg University.

Das, M. (1995). Extensions of the ordered response model applied to consumer valuation of new products (CentER Discussion Paper No. 95-15): Tilburg University.

Das, M., & Knoef, M. (2019). Experimental and longitudinal data for scientific and policy research: Open access to data collected in the Longitudinal Internet Studies for the Social Sciences (LISS) Panel. In Crato, N., & Paruolo, P. (Eds.), Data-Driven Policy Impact Evaluation (pp. 131-146). Cham: Springer, ISBN: 978-3-319-78460-1. (353.33 KB)

Das, M., Kapteyn, A., & Bosnjak, M. (2018). Open probability-based panel infrastructures, The Palgrave Handbook of Survey Research (pp. 199-209). Cham: Palgrave Macmillan, ISBN: 978-3-319-54394-9.

Das, M., de Bruijne, M., Janssen, J., & Kalwij, A. (2017). Experiment: Internet interviewing in the sixth wave of SHARE in the Netherlands. In Malter, F., & Börsch-Supan, A. (Eds.), SHARE Wave 6: Panel innovations and collecting Dried Blood Spots (pp. 151-162). Munich: Mea, Max Planck Institute for Social Law and Social Policy, ISBN: ISBN 978-3-00-058556-2. (5.49 MB)

Lugtig, P., Das, M., & Scherpenzeel, A. (2014). Nonresponse and attrition in a probability-based online panel for the general population. In Callegaro, M., Baker, R.P., Bethlehem, J., Göritz, A.S., Krosnick, J., & Lavrakas, P.J. (Eds.), Online panel research: A data quality perspective. Chichester: John Wiley & Sons.

Wijnant, A., Martens, M., Balster, E., & Das, M. (2013). Software innovation in SHARE Wave Four. In Malter, F., & Börsch-Supan, A. (Eds.), SHARE Wave 4: Innovations & Methodology (pp. 62-73). Munich: Mea, Max Planck Institute for Social Law and Social Policy, ISBN: 9783000408021. (4.01 MB)

Das, M. (2012). Innovation der Online-Datenerhebung für wissenschaftliche Forschungen. Das Niederländische MESS-Projekt. In Faulbaum, F., Stahl, M., & Wiegand, E. (Eds.), Qualitätssicherung in der Umfrageforschung; Neue Herausforderungen für die Markt- und Sozialforschung (pp. 75-101). Wiesbaden: Springer.

Das, M., Martens, M., & Wijnant, A. (2011). Survey instruments in SHARELIFE. In Schröder, M. (Ed.), Retrospective Data Collection in the Survey of Health, Ageing and Retirement in Europe. SHARELIFE Methodology. Mannheim: MEA.

Scherpenzeel, A., & Das, M. (2011). ‘True’ longitudinal and probability-based internet panels: evidence from the Netherlands. In Das, M., Ester, P., & Kaczmirek, L. (Eds.), Social research and the Internet: Advances in applied methods and new research strategies (pp. 77-104). Boca Raton: Taylor & Francis.

Das, M., & Hagenaars, J. (2011). Vraag het ze. In Schnabel, P. (Ed.), Wat iedereen moet weten van de menswetenschappen; De gammacanon. Amsterdam: De Volkskrant en Meulenhoff BV.

Brouwer, M., Das, M., & Martens, M. (2008). Survey instruments in SHARE wave 2. In Börsch-Supan, A. (Ed.), First Results from the Survey of Health, Ageing and Retirement in Europe (2004-2007). Starting the Longitudinal Dimension (pp. 314-319). Mannheim: MEA.

Das, M., Vis, C., & Weerman, B. (2005). Developing the survey instruments for SHARE. In Börsch-Supan, A., & Jürges, H. (Eds.), The Survey of Health, Ageing and Retirement in Europe – Methodology. Mannheim: MEA.

Das, M., & van Soest, A. (2002). De portefeuillekeuze van Nederlandse huishoudens. In Alessie, R., van Els, P.J.A., & Hoogduin, L.H. (Eds.), De rol van het vermogen in de economie. Amsterdam: Preadviezen van de Koninklijke Vereniging voor de Staathuishoudkunde.

van Soest, A., & Das, M. (2000). Family labour supply and proposed tax reforms in the Netherlands. In Callan, T. (Ed.), Taxes, Transfers and Labour Market Responses: What Can Microsimulation Tell Us?. Dublin: The Economic and Social Research Institute.

Das, M. (1998). On income expectations and other subjective data: A micro-econometric analysis (CentER, Tilburg University), ISBN: 90-5668-034.

Benink, H., Das, M., Cuelenaere, B., & Elshout, S. (2015). Is de economische crisis voorbij? Een onderzoek naar de schuldenproblematiek in Nederland. Tiel: BKR. (3.89 MB)

Das, M. (2009). Dan vraag je gewoon om problemen! Zonder goede survey data, geen goed onderzoek: Tilburg University Press.

Das, M., & van der Genugten, B.B. (2005). How to distinguish between games of chance and games of skill: A practical approach for jurists: Departement Econometrie en Operations Research en CentERdata, Tilburg University.

Das, M., & van der Genugten, B.B. (2005). Random flashback: A detailed analysis: CentER Applied Research, Tilburg University.

Bongers, I., van Weert, C.M.C., Vis, C.M., Garretsen, H.F.L., & Das, M. (2005). Kwaliteit en kwantiteit van de gezondheidszorg en actuele beleidsontwikkelingen in de gezondheidszorg in 2005: Nederlanders aan het woord: TRANZO en CentERdata, Tilburg University.

Das, M., Bongers, I., Rodenburg, G., Vis, C.M., & Garretsen, H.F.L. (2004). De mening van Nederlanders over kwaliteit en kwantiteit van de gezondheidszorg en over actuele beleidsvoornemens in de gezondheidszorg: TRANZO en CentERdata, Tilburg University.

Van der Genugten, B.B., & Das, M. (2002). Een analyse van Blackjack varianten: CentER Groep, Tilburg University.

Moerland, P.W., van Helleman, J., Nijman, T.E., et al. (2000). Zeggenschapsverhoudingen en financiële prestaties van beursvennootschappen: CentER Applied Research, Tilburg University.

Nijman, T.E., Das, M., & Werker, B.J.M (2000). Aanzet tot de ontwikkeling van een uniforme risico-indicator voor financiële producten met een beleggingscomponent: CentER Applied Research, Tilburg University.

Das, M., & van der Genugten, B.B. (1999). An analysis of FruitCard: CentER Applied Research, Tilburg University.

van der Genugten, B.B., de Vos, J.C., & Das, M. (1999). Het potentieel behendigheidsniveau van ROTA-roulette: Tilburg University.

van der Genugten, B.B., Das, M., & Borm, P.E.M. (1999). Een analyse van blackjack varianten: CentER Groep, Tilburg University.

van der Genugten, B.B., & Das, M. (1999). Een analyse van behaalde winsten bij Caribbean Stud Poker in Holland Casino’s: CentER Applied Research, Tilburg University.

van Soest, A., & Das, M. (1998). Belastingen en het arbeidsaanbod in de zorgsector: CentER Applied Research, Tilburg University.

van Bremen, M., Das, M., & Nijman, T.E. (1998). Een inschatting van de rente-risico’s van Kas-Associatie N.V.: CentER Applied Research, Tilburg University.

Das, M., & van der Genugten, B.B. (1998). An analysis of American Poker 2: CentER Applied Research, Tilburg University.

Das, M., & van der Genugten, B.B. (1997). The impact of trade- and exercise limitations on the valuation of employee stock options: CentER Applied Research, Tilburg University.

Das, M., Nijman, T.E., van Dijk, M., de Graaf, N., Huisman, R., Koedijk, K., & Schweitzer, M. (1997). Aandelen selectie pakket: CentER Applied Research, Tilburg University en LIFE, Universiteit van Maastricht.