Silva Lourenco, C., Gijsbrechts, E. and Paap, R. (2015). The Impact of Category Prices on Store Price Image Formation: An Empirical Analysis Journal of Marketing Research, 52(2):200--216.
Richard Paap
University
Erasmus University Rotterdam
E-mail
Research field
Data Science and Econometrics
Interests
Applied Econometrics, Econometrics
Website
Biography
Richard Paap is a professor of Econometrics at Econometric Institute, Erasmus School of Economics (ESE). He obtained his PhD from the same school in 1997.
He has publications in several major econometric, economic and marketing journals and he is coauthor of the book Quantitative Models in Marketing Research.
He is currently Academic Director of the Master Econometrics.
Key publications
Fok, D., Paap, R. and Franses, P.H. (2012). Modeling Dynamic Effects of Promotion on Interpurchase Times Computational Statistics and Data Analysis, 56(11):3055--3069.
van Nierop, E., Bronnenberg, B., Paap, R., Franses, P.H. and Wedel, M. (2010). Retrieving Unobserved Consideration Sets from Household Panel Data Journal of Marketing Research, 47(1):63--74.
Geweke, J., Groenen, P., Paap, R. and van Dijk, H. (2007). Computational techniques for applied econometric analysis of macroeconomic and financial processes. Computational Statistics and Data Analysis, 51(7):3506--3507.
Fok, D., Horvath, C., Paap, R. and Franses, P.H. (2006). A hierarchical Bayes error correction model to explain dynamic effects of price changes Journal of Marketing Research, 43(3):443--461.
Publications
Nibbering, D. and Paap, R. (2024). Forecasting carbon emissions using asymmetric grouping Journal of Forecasting, 43(6):2228--2256.
Wang, W., Zhang, X.(. and Paap, R. (2019). To pool or not to pool: What i?s a good strategy for parameter estimation and forecasting in panel regressions? Journal of Applied Econometrics, 34(5):724--745.
Bel, K., Fok, D. and Paap, R. (2018). Parameter Estimation in Multivariate Logit Models with Many Binary Choices Econometric Reviews, 37(5):534--550.
Nibbering, D., Paap, R. and van der Wel, M. (2018). What do professional forecasters actually predict? International Journal of Forecasting, 34(2):288--311.
Franses, P.H., Legerstee, R.(. and Paap, R. (2017). Estimating loss functions of experts Applied Economics, 49(4):386--396.
Bel, K. and Paap, R. (2016). Modeling the Impact of Forecast-based Regime Switches on US Inflation International Journal of Forecasting, 32(4):1306--1316.
Silva Lourenco, C., Gijsbrechts, E. and Paap, R. (2015). The Impact of Category Prices on Store Price Image Formation: An Empirical Analysis Journal of Marketing Research, 52(2):200--216.
Cakmakli, C.(., Paap, R. and van Dijk, D. (2013). Measuring and predicting heterogeneous recessions Journal of Economic Dynamics and Control, 37:2195--2216.
Groen, J.(., Paap, R. and Ravazzolo, F. (2013). Real-time Inflation Forecasting in a Changing World Journal of Business and Economic Statistics, 31(1):29--44.
Paap, R. and Franses, P.H. (2013). Common Large Innovations Across Nonlinear Time Series Studies in Nonlinear Dynamics and Econometrics, 17(3):251--263.
van den Hauwe, S., Paap, R. and van Dijk, D. (2013). Bayesian forecasting of federal funds target rate decisions Journal of Macroeconomics, 37:19--40.
Basturk, N., Paap, R. and van Dijk, D. (2012). Structural differences in economic growth: An endogenous clustering approach Applied Economics, 44(1):119--134.
Fidrmuc, J., Paap, R., Roosenboom, P. and Teunissen, T. (2012). One size does not fit all: Selling firms to private equity versus strategic acquirers Journal of Corporate Finance, 18(4):828--848.
Fok, D., Paap, R. and van Dijk, A. (2010). A Rank-Ordered Logit Model with Unobserved Heterogeneity in Ranking Capabilities Journal of Applied Econometrics, 27(5):831--846.
Fok, D., Paap, R. and Franses, P.H. (2012). Modeling Dynamic Effects of Promotion on Interpurchase Times Computational Statistics and Data Analysis, 56(11):3055--3069.
Geweke, J., Koop, G. and Paap, R. (2012). Editorial Introduction for the Annals Issue of the Journal of Econometrics on Bayesian Models, Methods and Applications Journal of Econometrics, 171(2):99--100.
van Dijk, A., Franses, P.H., Paap, R. and van Dijk, D. (2011). Modeling Regional House Prices Applied Economics, 43(17):2097--2110.
van Nierop, E., Bronnenberg, B., Paap, R., Franses, P.H. and Wedel, M. (2010). Retrieving Unobserved Consideration Sets from Household Panel Data Journal of Marketing Research, 47(1):63--74.
Fok, D. and Paap, R. (2009). Modeling category-level purchase timing with brand-level marketing variables Journal of Applied Econometrics, 24(3):469--489.
Paap, R., Segers, R. and van Dijk, D. (2009). Do leading indicators lead peaks more than troughs? Journal of Business and Economic Statistics, 27(4):528--543.
Chintagunta, P., Franses, P.H. and Paap, R. (2009). Introduction to the Special Issue on New Econometric Models in Marketing Journal of Applied Econometrics, 24(3):375--376.
Brouwer, J., Paap, R. and Viaene, J.M. (2008). The trade and FDI effects of EMU enlargement Journal of International Money and Finance, 27(2):188--208.
Franses, P.H., van der Leij, M. and Paap, R. (2008). A Simple Test for GARCH Against a Stochastic Volatility Model Journal of Financial Econometrics, 6(3):291--306.
van Dijk, B. and Paap, R. (2008). Explaining individual response using aggregated data Journal of Econometrics, 146(1):1--9.
Fok, D., Franses, P.H. and Paap, R. (2007). Seasonality and non-linear price effects in scanner-data based market-response models Journal of Econometrics, 138(1):231--251.
Geweke, J., Groenen, P., Paap, R. and van Dijk, H. (2007). Computational techniques for applied econometric analysis of macroeconomic and financial processes. Computational Statistics and Data Analysis, 51(7):3506--3507.
Paap, R. (2007). Contemporary Bayesian Econometrics and Statistics by John Geweke International Journal of Forecasting, 23:531--531.
Kleibergen, F.(. and Paap, R. (2006). Generalized reduced rank tests using the singular value decomposition. Journal of Econometrics, 133(1):97--126.
Bijwaard, G., Franses, P.H. and Paap, R. (2006). Modeling purchases as repeated events Journal of Business and Economic Statistics, 24(4):487--502.
Donkers, B., Paap, R., Jonker, J. and Franses, P.H. (2006). Deriving Target Selection Rules from Endogenously Selected Samples Journal of Applied Econometrics, 21(5):549--562.
Fok, D., Horvath, C., Paap, R. and Franses, P.H. (2006). A hierarchical Bayes error correction model to explain dynamic effects of price changes Journal of Marketing Research, 43(3):443--461.
Paap, R., van Nierop, E., van Heerde, H., Wedel, M., Franses, P.H. and Alsem, K. (2005). Consideration sets, intentions and the inclusion of 'don't know' in a two-stage model for voter choice International Journal of Forecasting, 21(1):53--71.
Paap, R., Franses, P.H. and van Dijk, D. (2005). Does Africa grow slower than Asia, Latin America and the Middle East? Evidence from a new data-based classification method Journal of Development Economics, 77(2):553--570.
Franses, P.H., Paap, R. and Vroomen, B. (2004). Forecasting unemployment using an autoregression with censored latent effects parameters International Journal of Forecasting, 20(2):255--271.
Paap, R. and van Dijk, H. (2003). Bayes estimates of Markov trends in possibly cointegrated series: an application to U.S. consumption and income Journal of Business and Economic Statistics, 21(4):547--563.
Franses, P.H. and Paap, R. (2002). Censored latent effects autoregression, with an application to us unemployment Journal of Applied Econometrics, 17:347--366.
Franses, P.H., van der Leij, M. and Paap, R. (2002). Modelling and forecasting level shifts in absolute returns Journal of Applied Econometrics, 17(5):606--616.
van Dijk, D., Franses, P.H. and Paap, R. (2002). A nonlinear long memory model, with an application to US unemployment Journal of Econometrics, 110(2):135--165.
Kleibergen, F.(. and Paap, R. (2002). Priors, posteriors and bayes factors for a Bayesian analysis of cointegration Journal of Econometrics, 111(2):223--249.
Paap, R. and Franses, P.H. (2000). A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables Journal of Applied Econometrics, 15(6):717--744.
Franses, P.H. and Paap, R. (2000). Modelling day-of-the-week seasonality in the S&P 500 index Applied Economics, 10:483--488.
Franses, P.H. and Paap, R. (1999). Does seasonal adjustment influence the dating if business cycle turning points? Journal of Macroeconomics, 21:79--92.
Franses, P.H. and Paap, R. (1999). Does seasonality influence the dating of business cycle turning points? Journal of Macroeconomics, 21:79--92.
Franses, P.H. and Paap, R. (1999). On trends and constants in periodic autoregressions Econometric Reviews, 18:271--286.
Paap, R. and van Dijk, H. (1998). Distribution and mobility of wealth of nations European Economic Review, 42:1269--1293.
Franses, P.H., Hoek, H. and Paap, R. (1997). Bayesian analysis of seasonal unit roots and seasonal mean shifts Journal of Econometrics, 78:359--380.
Franses, P.H., Hoek, H. and Paap, R. (1997). Mean shifts, unit roots and forecasting seasonal time series International Journal of Forecasting, 13:355--366.
Franses, P.H. and Paap, R. (1995). Seasonality and stochastic trends in German consumption and income Empirical Economics, 20:109--132.
Franses, P.H. and Paap, R. (1994). Model selection in periodic autoregressions Oxford Bulletin of Economics and Statistics, 56:421--439.