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Richard Paap

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Richard Paap & Philip Hans Franses & Marco Van Der Leij, 2002. "Modelling and forecasting level shifts in absolute returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 601-616.

    Mentioned in:

    1. Modelling and forecasting level shifts in absolute returns (Journal of Applied Econometrics 2002) in ReplicationWiki ()
  2. Richard Paap & Philip Hans Franses, 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, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.

    Mentioned in:

    1. A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables (Journal of Applied Econometrics 2000) in ReplicationWiki ()

Working papers

  1. Didier Nibbering & Richard Paap & Michel van der Wel, 2015. "What Do Professional Forecasters Actually Predict?," Tinbergen Institute Discussion Papers 15-095/III, Tinbergen Institute, revised 13 Oct 2017.

    Cited by:

    1. Feunou Bruno & Fontaine Jean-Sébastien & Jin Jianjian, 2021. "What model for the target rate," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-23, February.

  2. Bel, K. & Fok, D. & Paap, R., 2014. "Parameter Estimation in Multivariate Logit models with Many Binary Choices," Econometric Institute Research Papers EI 2014-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Sierminska, Eva & Oaxaca, Ronald L., 2021. "Gender Differences in Economics PhD Field Specializations with Correlated Choices," GLO Discussion Paper Series 953, Global Labor Organization (GLO).
    2. Harald Hruschka, 2024. "Endogeneity of marketing variables in multicategory choice models," Journal of Business Economics, Springer, vol. 94(4), pages 639-657, May.
    3. Timothy Richards & Stephen Hamilton & Koichi Yonezawa, 2015. "Retail Market Power in a Shopping Basket Model of Supermarket Competition," Working Papers 1503, California Polytechnic State University, Department of Economics.
    4. Angelo Moretti, 2023. "Estimation of small area proportions under a bivariate logistic mixed model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3663-3684, August.
    5. Sumit Panja & Sayani Mukhopadhyay, 2024. "An investigation of small and marginal holder farmers’ adaptation strategies to climate variability and its determinants in coastal agriculture: evidence from east coast of India," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(3), pages 1-33, March.
    6. Qinan Lu & Xiaodong Du & Huanguang Qiu, 2022. "Adoption patterns and productivity impacts of agricultural mechanization services," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 826-845, September.
    7. Steffen Jahn & Daniel Guhl & Ainslee Erhard, 2024. "Substitution Patterns and Price Response for Plant-Based Meat Alternatives," Rationality and Competition Discussion Paper Series 509, CRC TRR 190 Rationality and Competition.
    8. Bel, K. & Paap, R., 2014. "A Multivariate Model for Multinomial Choices," Econometric Institute Research Papers EI 2014-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Ma, Wanglin & Zheng, Hongyun & Gong, Binlei, 2022. "Rural income growth, ethnic differences, and household cooking fuel choice: Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    10. Harald Hruschka, 2022. "Analyzing joint brand purchases by conditional restricted Boltzmann machines," Review of Managerial Science, Springer, vol. 16(4), pages 1117-1145, May.
    11. Huong Hoang-Thi & Shah Fahad & Ashfaq Ahmad Shah & Tung Nguyen-Huu-Minh & Tuan Nguyen-Anh & Song Nguyen-Van & Nguyen To-The & Huong Nguyen-Thi-Lan, 2023. "Evaluating the farmers’ adoption behavior of water conservation in mountainous region Vietnam: extrinsic and intrinsic determinants," 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. 115(2), pages 1313-1330, January.
    12. Harald Hruschka, 2024. "Relevance of dynamic variables in multicategory choice models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(1), pages 109-133, March.
    13. Lu, Qinan & Du, Xiaodong, 2020. "The Outsourcing Choice of Agricultural Production Tasks: Implications for Food Security - A Multiple-task Based Approach," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304333, Agricultural and Applied Economics Association.
    14. Fok, Dennis & Paap, Richard, 2025. "New misspecification tests for multinomial logit models," Journal of choice modelling, Elsevier, vol. 54(C).
    15. Filippopoulou, Chryssanthi & Galariotis, Emilios & Spyrou, Spyros, 2020. "An early warning system for predicting systemic banking crises in the Eurozone: A logit regression approach," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 344-363.
    16. Valerie Kilders & Vincenzina Caputo & Jayson L. Lusk, 2024. "Consumer preferences for food away from home: Dine in versus delivery," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 496-525, March.
    17. Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).
    18. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.

  3. Bel, K. & Paap, R., 2014. "A Multivariate Model for Multinomial Choices," Econometric Institute Research Papers EI 2014-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Gao, Ni & Ryan, Mandy & Krucien, Nicolas & Robinson, Suzanne & Norman, Richard, 2020. "Paid work, household work, or leisure? Time allocation pathways among women following a cancer diagnosis," Social Science & Medicine, Elsevier, vol. 246(C).
    2. Bhattacharyya, Bhaskar & Mandal, Biswajit & Sengupta, Sarbajit, 2022. "Correlates of Distress Financing In Case of Institutional Delivery In India: Evidence From The National Family Health Survey," MPRA Paper 116652, University Library of Munich, Germany.

  4. Cem Cakmakli & Richard Paap & Dick van Dijk, 2012. "Measuring and Predicting Heterogeneous Recessions," Koç University-TUSIAD Economic Research Forum Working Papers 1206, Koc University-TUSIAD Economic Research Forum.

    Cited by:

    1. Guérin, Pierre & Leiva-Leon, Danilo, 2017. "Model averaging in Markov-switching models: Predicting national recessions with regional data," Economics Letters, Elsevier, vol. 157(C), pages 45-49.
    2. Bertrand Candelon & Norbert Metiu & Stefan Straetmans, 2014. "Disentangling economic recessions and depressions," Working Papers 2014-328, Department of Research, Ipag Business School.
    3. Cem Çakmakli & Hamza Dem I˙rcani & Sumru Altug, 2021. "Modelling of Economic and Financial Conditions for Real‐Time Prediction of Recessions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 663-685, June.

  5. Sjoerd van den Hauwe & Richard Paap & Dick J.C. van Dijk, 2011. "An Alternative Bayesian Approach to Structural Breaks in Time Series Models," Tinbergen Institute Discussion Papers 11-023/4, Tinbergen Institute.

    Cited by:

    1. Jiawen Xu & Pierre Perron, 2017. "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series WP2018-014, Boston University - Department of Economics, revised Nov 2018.

  6. Cem Cakmakli & Richard Paap & Dick J.C. van Dijk, 2011. "Modeling and Estimation of Synchronization in Multistate Markov-Switching Models," Tinbergen Institute Discussion Papers 11-002/4, Tinbergen Institute.

    Cited by:

    1. Danilo Leiva-Leon, 2014. "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," Staff Working Papers 14-38, Bank of Canada.
    2. Ritika Jaiswal & Rashmi Uchil, 2018. "An Analysis of Gold Futures as an Alternative Asset: Evidence from India," International Journal of Economics and Financial Issues, Econjournals, vol. 8(6), pages 144-150.
    3. Vassilios Babalos & Mehmet Balcilar & Rangan Gupta & Nikolaos Philippas, 2014. "Revisiting Herding Behavior in REITs: A RegimeSwitching Approach," Working Papers 15-15, Eastern Mediterranean University, Department of Economics.
    4. Balcılar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2015. "Regional and global spillovers and diversification opportunities in the GCC equity sectors," Emerging Markets Review, Elsevier, vol. 24(C), pages 160-187.
    5. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Extended Phillips Curve Models with non-filtered Data," Koç University-TUSIAD Economic Research Forum Working Papers 1321, Koc University-TUSIAD Economic Research Forum.
    6. Balcilar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2013. "Investor herds and regime-switching: Evidence from Gulf Arab stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 295-321.
    7. Çakmaklı, Cem & Paap, Richard & van Dijk, Dick, 2013. "Measuring and predicting heterogeneous recessions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2195-2216.
    8. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
    9. Danilo Leiva-Leon, 2017. "Measuring business cycles intra-synchronization in us: a regime-switching interdependence framework," Working Papers 1726, Banco de España.
    10. Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Ahmed Khalifa, 2013. "Do Global Shocks Drive Investor Herds in Oil-Rich Frontier Markets?," Working Papers 819, Economic Research Forum, revised Dec 2013.
    11. Nalan Baştürk & Cem Çakmakli & S. Pinar Ceyhan & Herman K. Van Dijk, 2014. "Posterior‐Predictive Evidence On Us Inflation Using Extended New Keynesian Phillips Curve Models With Non‐Filtered Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1164-1182, November.
    12. Carlo Di Giorgio, 2016. "Business Cycle Synchronization of CEECs with the Euro Area: A Regime Switching Approach," Journal of Common Market Studies, Wiley Blackwell, vol. 54(2), pages 284-300, March.

  7. Sjoerd van den Hauwe & Dick van Dijk & Richard Paap, 2011. "Bayesian Forecasting of Federal Funds Target Rate Decisions," Tinbergen Institute Discussion Papers 11-093/4, Tinbergen Institute.

    Cited by:

    1. Andrei Sirchenko, 2019. "A regime-switching model for the federal funds rate target," UvA-Econometrics Working Papers 19-01, Universiteit van Amsterdam, Dept. of Econometrics.
    2. Seibert, Armin & Sirchenko, Andrei & Müller, Gernot, 2021. "A model for policy interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
    3. Jungyeon Yoon & Juanjuan Fan, 2024. "Forecasting the direction of the Fed's monetary policy decisions using random forest," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2848-2859, November.
    4. Kim, Hyerim & Kang, Kyu Ho, 2022. "The Bank of Korea watch," Journal of International Money and Finance, Elsevier, vol. 126(C).
    5. Dick van Dijk & Robin L. Lumsdaine & Michel van der Wel, 2014. "Market Set-Up in Advance of Federal Reserve Policy Decisions," NBER Working Papers 19814, National Bureau of Economic Research, Inc.

  8. Franses, Ph.H.B.F. & Legerstee, R. & Paap, R., 2011. "Estimating Loss Functions of Experts," Econometric Institute Research Papers EI2011-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Nicolaas van der Wath, 2013. "Comparing the BER’s forecasts," Working Papers 23/2013, Stellenbosch University, Department of Economics.
    2. Petropoulos, Fotios & Fildes, Robert & Goodwin, Paul, 2016. "Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?," European Journal of Operational Research, Elsevier, vol. 249(3), pages 842-852.

  9. Legerstee, R. & Franses, Ph.H.B.F. & Paap, R., 2011. "Do experts incorporate statistical model forecasts and should they?," Econometric Institute Research Papers EI2011-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Rianne Legerstee & Philip Hans Franses, 2011. "Do Experts' SKU Forecasts improve after Feedback?," Tinbergen Institute Discussion Papers 11-135/4, Tinbergen Institute.

  10. Basturk, N. & Paap, R. & van Dijk, D.J.C., 2010. "Financial Development and Convergence Clubs," Econometric Institute Research Papers EI 2010-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2021. "Bayes estimates of multimodal density features using DNA and Economic Data," Tinbergen Institute Discussion Papers 21-017/III, Tinbergen Institute.

  11. van Dijk, A. & van Rosmalen, J.M. & Paap, R., 2009. "A Bayesian approach to two-mode clustering," Econometric Institute Research Papers EI 2009-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Eleni Matechou & Ivy Liu & Daniel Fernández & Miguel Farias & Bergljot Gjelsvik, 2016. "Biclustering Models for Two-Mode Ordinal Data," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 611-624, September.
    2. Alessandro Casa & Charles Bouveyron & Elena Erosheva & Giovanna Menardi, 2021. "Co-clustering of Time-Dependent Data via the Shape Invariant Model," Journal of Classification, Springer;The Classification Society, vol. 38(3), pages 626-649, October.
    3. Aghiles Salah & Mohamed Nadif, 2019. "Directional co-clustering," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(3), pages 591-620, September.
    4. Aurore Lomet & Gérard Govaert & Yves Grandvalet, 2018. "Model selection for Gaussian latent block clustering with the integrated classification likelihood," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 489-508, September.
    5. Daniel Fernández & Richard Arnold & Shirley Pledger & Ivy Liu & Roy Costilla, 2019. "Finite mixture biclustering of discrete type multivariate data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 117-143, March.

  12. Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2009. "Real-Time Inflation Forecasting in a Changing World," Working Paper 2009/16, Norges Bank.

    Cited by:

    1. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2016. "Dynamic Predictive Density Combinations for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 15-084/III, Tinbergen Institute, revised 03 Jul 2017.
    2. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Time-varying Combinations of Predictive Densities using Nonlinear Filtering," Tinbergen Institute Discussion Papers 12-118/III, Tinbergen Institute.
    3. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    4. Bjørnland, Hilde C. & Ravazzolo, Francesco & Thorsrud, Leif Anders, 2017. "Forecasting GDP with global components: This time is different," International Journal of Forecasting, Elsevier, vol. 33(1), pages 153-173.
    5. Joshua C.C. Chan & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2010. "Time Varying Dimension Models," Working Paper series 44_10, Rimini Centre for Economic Analysis.
    6. Davide Pettenuzzo & Rossen Valkanov & Allan Timmermann, 2014. "A Bayesian MIDAS Approach to Modeling First and Second Moment Dynamics," Working Papers 76, Brandeis University, Department of Economics and International Business School.
    7. Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal portfolio choice under decision-based model combinations," Working Paper 2014/15, Norges Bank.
    8. Francesco Ravazzolo & Shaun P. Vahey, 2010. "Forecast densities for economic aggregates from disaggregate ensembles," Working Paper 2010/02, Norges Bank.
    9. Bel, K. & Paap, R., 2013. "Modeling the impact of forecast-based regime switches on macroeconomic time series," Econometric Institute Research Papers EI 2013-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Marco J. Lombardi & Francesco Ravazzolo, 2012. "Oil price density forecasts: exploring the linkages with stock markets," Working Paper 2012/24, Norges Bank.
    11. Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2016. "A MIDAS approach to modeling first and second moment dynamics," Journal of Econometrics, Elsevier, vol. 193(2), pages 315-334.
    12. Mohsen Khezri & Seyed Ehsan Hosseinidoust & Mohammad Kazem Naziri, 2019. "Investigating the Temporary and Permanent Influential Variables on Iran Inflation Using TVP-DMA Models," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 23(1), pages 209-234, Winter.
    13. Pijush Kanti Das & Prabir Kumar Das, 2024. "Improvement in Inflation Forecasting: Ensembling Text Mining with Macro Data in Machine Learning Models," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 16(6), pages 1-92, June.
    14. Lombardi, Marco J. & Ravazzolo, Francesco, 2016. "On the correlation between commodity and equity returns: Implications for portfolio allocation," Journal of Commodity Markets, Elsevier, vol. 2(1), pages 45-57.
    15. Koop, Gary & Korobilis, Dimitris, 2018. "Variational Bayes inference in high-dimensional time-varying parameter models," MPRA Paper 87972, University Library of Munich, Germany.
    16. Florian Huber & Gary Koop & Michael Pfarrhofer, 2020. "Bayesian Inference in High-Dimensional Time-varying Parameter Models using Integrated Rotated Gaussian Approximations," Papers 2002.10274, arXiv.org.
    17. Konstantin Styrin, 2018. "Forecasting inflation in Russia by Dynamic Model Averaging," Bank of Russia Working Paper Series wps39, Bank of Russia.
    18. Caterina Forti Grazzini & Massimo Guidolin, 2013. "Forecasting yield spreads under crisis-induced multiple breakpoints," Applied Economics Letters, Taylor & Francis Journals, vol. 20(18), pages 1656-1664, December.
    19. Lennart Hoogerheide & Richard Kleijn & Francesco Ravazzolo & Herman K. Van Dijk & Marno Verbeek, 2010. "Forecast accuracy and economic gains from Bayesian model averaging using time-varying weights," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 251-269.
    20. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combining Predictive Densities using Bayesian Filtering with Applications to US Economics Data," Tinbergen Institute Discussion Papers 11-003/4, Tinbergen Institute.
    21. Billé, Anna Gloria & Gianfreda, Angelica & Del Grosso, Filippo & Ravazzolo, Francesco, 2023. "Forecasting electricity prices with expert, linear, and nonlinear models," International Journal of Forecasting, Elsevier, vol. 39(2), pages 570-586.
    22. Elena Andreou & Andros Kourtellos, 2018. "Scoring rules for simple forecasting models: The case of Cyprus GDP and its sectors," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(1), pages 59-73, June.
    23. Andriantomanga, Zo, 2023. "The role of survey-based expectations in real-time forecasting of US inflation," MPRA Paper 119904, University Library of Munich, Germany.
    24. Yuelin Liu & James Morley, 2013. "Structural Evolution of the Postwar U.S. Economy," Discussion Papers 2013-15A, School of Economics, The University of New South Wales.
    25. Koop, Gary & Korobilis, Dimitris, 2009. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2009-40, Scottish Institute for Research in Economics (SIRE).
    26. Kalli, Maria & Griffin, Jim E., 2014. "Time-varying sparsity in dynamic regression models," Journal of Econometrics, Elsevier, vol. 178(2), pages 779-793.
    27. Tommaso Proietti & Martyna Marczak & Gianluigi Mazzi, 2015. "EuroMInd-D: A Density Estimate of Monthly Gross Domestic Product for the Euro Area," CEIS Research Paper 340, Tor Vergata University, CEIS, revised 10 Apr 2015.
    28. Raffaella Giacomini & Barbara Rossi, 2015. "Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models," Working Papers 819, Barcelona School of Economics.
    29. Wojciech Charemza & Carlos Diaz Vela & Svetlana Makarova, 2013. "Inflation fan charts, monetary policy and skew normal distribution," Discussion Papers in Economics 13/06, Division of Economics, School of Business, University of Leicester.
    30. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2017. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 81869, London School of Economics and Political Science, LSE Library.
    31. Joscha Beckmann & Rainer Schüssler, 2014. "Forecasting Exchange Rates under Model and Parameter Uncertainty," CQE Working Papers 3214, Center for Quantitative Economics (CQE), University of Muenster.
    32. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    33. Niko Hauzenberger, 2020. "Flexible Mixture Priors for Large Time-varying Parameter Models," Papers 2006.10088, arXiv.org, revised Nov 2020.
    34. Christina Anderl & Guglielmo Maria Caporale, 2022. "Forecasting Inflation with a Zero Lower Bound or Negative Interest Rates: Evidence from Point and Density Forecasts," CESifo Working Paper Series 9687, CESifo.
    35. Dimitris Korobilis, 2014. "Data-based priors for vector autoregressions with drifting coefficients," Working Papers 2014_04, Business School - Economics, University of Glasgow.
    36. Garcia, Márcio G.P. & Medeiros, Marcelo C. & Vasconcelos, Gabriel F.R., 2017. "Real-time inflation forecasting with high-dimensional models: The case of Brazil," International Journal of Forecasting, Elsevier, vol. 33(3), pages 679-693.
    37. Jie Cheng, 2023. "Modelling and forecasting risk dependence and portfolio VaR for cryptocurrencies," Empirical Economics, Springer, vol. 65(2), pages 899-924, August.
    38. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    39. Jiawen Xu & Pierre Perron, 2024. "Forecasting in the presence of in-sample and out-of-sample breaks," Advanced Studies in Theoretical and Applied Econometrics, in: Subal C. Kumbhakar & Robin C. Sickles & Hung-Jen Wang (ed.), Advances in Applied Econometrics, pages 545-579, Springer.
    40. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
    41. Korobilis, D, 2017. "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers 19565, University of Essex, Essex Business School.
    42. Nonejad, Nima, 2023. "Modeling the out-of-sample predictive relationship between equity premium, returns on the price of crude oil and economic policy uncertainty using multivariate time-varying dimension models," Energy Economics, Elsevier, vol. 126(C).
    43. Groen, Jan J.J. & Kapetanios, George, 2016. "Revisiting useful approaches to data-rich macroeconomic forecasting," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 221-239.
    44. Nonejad, Nima, 2017. "Forecasting aggregate stock market volatility using financial and macroeconomic predictors: Which models forecast best, when and why?," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 131-154.
    45. Petrella, Ivan & Drechsel, Thomas & Antolin-Diaz, Juan, 2014. "Following the Trend: Tracking GDP when Long-Run Growth is Uncertain," CEPR Discussion Papers 10272, C.E.P.R. Discussion Papers.
    46. Ellis W. Tallman & Saeed Zaman, 2015. "Forecasting Inflation: Phillips Curve Effects on Services Price Measures," Working Papers (Old Series) 1519, Federal Reserve Bank of Cleveland.
    47. James H. Stock & Mark W. Watson, 2019. "Slack and Cyclically Sensitive Inflation," NBER Working Papers 25987, National Bureau of Economic Research, Inc.
    48. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    49. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    50. Malin Gardberg & Lorenzo Pozzi, 2022. "Aggregate consumption and wealth in the long run: The impact of financial liberalization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 161-186, January.
    51. Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Domenico Sartore, 2018. "A scoring rule for factor and autoregressive models under misspecification," Working Papers 2018:18, Department of Economics, University of Venice "Ca' Foscari".
    52. Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2017. "Does the ARFIMA really shift?," CREATES Research Papers 2017-16, Department of Economics and Business Economics, Aarhus University.
    53. Le Ha Thu & Roberto Leon-Gonzalez, 2021. "Forecasting Macroeconomic Variables in Emerging Economies: An Application to Vietnam," GRIPS Discussion Papers 21-03, National Graduate Institute for Policy Studies.
    54. Stefano Grassi & Nima Nonejad & Paolo Santucci de Magistris, 2014. "Forecasting with the Standardized Self-Perturbed Kalman Filter," CREATES Research Papers 2014-12, Department of Economics and Business Economics, Aarhus University.
    55. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, May.
    56. Dimitrios P. Louzis, 2019. "Steady‐state modeling and macroeconomic forecasting quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 285-314, March.
    57. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
    58. Eric Eisenstat & Rodney W. Strachan, 2016. "Modelling Inflation Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 805-820, August.
    59. KOROBILIS, Dimitris, 2011. "VAR forecasting using Bayesian variable selection," LIDAM Discussion Papers CORE 2011022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    60. Anthony Garratt & James Mitchell & Shaun P. Vahey & Elizabeth C. Wakerly, 2010. "Real-time Inflation Forecast Densities from Ensemble Phillips Curves," CAMA Working Papers 2010-34, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    61. Jiawen Xu & Pierre Perron, 2017. "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series WP2018-014, Boston University - Department of Economics, revised Nov 2018.
    62. Beckmann, Joscha & Schüssler, Rainer, 2016. "Forecasting exchange rates under parameter and model uncertainty," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 267-288.
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    65. Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
    66. Carlos Carvalho & Stefano Eusepi & Christian Grisse, 2012. "Policy initiatives in the global recession: what did forecasters expect?," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 18(Feb).
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    69. Lin, Boqiang & Su, Tong, 2021. "Do China's macro-financial factors determine the Shanghai crude oil futures market?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    70. Krzysztof DRACHAL, 2020. "Forecasting the Inflation Rate in Poland and U.S. Using Dynamic Model Averaging (DMA) and Google Queries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 18-34, July.
    71. Guidolin, Massimo & Ravazzolo, Francesco & Tortora, Andrea Donato, 2013. "Alternative econometric implementations of multi-factor models of the U.S. financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 87-111.
    72. Emmanuel O. Akande & Elijah O. Akanni & Oyedamola F. Taiwo & Jeremiah D. Joshua & Abel Anthony, 2023. "Predicting inflation component drivers in Nigeria: a stacked ensemble approach," SN Business & Economics, Springer, vol. 3(1), pages 1-32, January.
    73. Andreas Karatahansopoulos & Georgios Sermpinis & Jason Laws & Christian Dunis, 2014. "Modelling and Trading the Greek Stock Market with Gene Expression and Genetic Programing Algorithms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(8), pages 596-610, December.
    74. Nonejad, Nima, 2019. "Forecasting aggregate equity return volatility using crude oil price volatility: The role of nonlinearities and asymmetries," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    75. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
    76. Nima Nonejad, 2020. "Does the price of crude oil help predict the conditional distribution of aggregate equity return?," Empirical Economics, Springer, vol. 58(1), pages 313-349, January.
    77. Nima Nonejad, 2013. "A Mixture Innovation Heterogeneous Autoregressive Model for Structural Breaks and Long Memory," CREATES Research Papers 2013-24, Department of Economics and Business Economics, Aarhus University.
    78. Felix Abramovich & Vadim Grinshtein, 2013. "Estimation of a sparse group of sparse vectors," Biometrika, Biometrika Trust, vol. 100(2), pages 355-370.
    79. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2020. "Do Cryptocurrency Prices Camouflage Latent Economic Effects? A Bayesian Hidden Markov Approach," Future Internet, MDPI, vol. 12(3), pages 1-19, March.
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    81. Kuusela, Annika & Hännikäinen, Jari, 2017. "What do the shadow rates tell us about future inflation?," MPRA Paper 80542, University Library of Munich, Germany.
    82. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
    83. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
    84. Didier Nibbering & Richard Paap & Michel van der Wel, 2016. "A Bayesian Infinite Hidden Markov Vector Autoregressive Model," Tinbergen Institute Discussion Papers 16-107/III, Tinbergen Institute, revised 13 Oct 2017.
    85. Kjetil Martinsen & Francesco Ravazzolo & Fredrik Wulfsberg, 2011. "Forecasting macroeconomic variables using disaggregate survey data," Working Paper 2011/04, Norges Bank.
    86. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    87. Nima Nonejad, 2024. "Point forecasts of the price of crude oil: an attempt to “beat” the end-of-month random-walk benchmark," Empirical Economics, Springer, vol. 67(4), pages 1497-1539, October.
    88. Oinonen, Sami & Vilmi, Lauri, 2021. "Analysing euro area inflation outlook with the Phillips curve," BoF Economics Review 5/2021, Bank of Finland.
    89. Enja Erker, 2024. "Forecasting medical inflation in the European Union using the ARIMA model," Public Sector Economics, Institute of Public Finance, vol. 48(1), pages 39-56.
    90. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Bayesian Combinations of Stock Price Predictions with an Application to the Amsterdam Exchange Index," Tinbergen Institute Discussion Papers 11-082/4, Tinbergen Institute.
    91. Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
    92. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
    93. Thu, Le Ha & Leon-Gonzalez, Roberto, 2021. "Forecasting macroeconomic variables in emerging economies," Journal of Asian Economics, Elsevier, vol. 77(C).
    94. Magnus Reif, 2018. "Macroeconomic Uncertainty and Forecasting Macroeconomic Aggregates," ifo Working Paper Series 265, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    95. Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Georgios Sermpinis & Charalampos Stasinakis & Konstantinos Theofilatos & Andreas Karathanasopoul, 2014. "Inflation and Unemployment Forecasting with Genetic Support Vector Regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 471-487, September.
    96. Nonejad, Nima, 2020. "Crude oil price changes and the United Kingdom real gross domestic product growth rate: An out-of-sample investigation," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    97. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2013. "Complete subset regressions," Journal of Econometrics, Elsevier, vol. 177(2), pages 357-373.
    98. Bel, Koen & Paap, Richard, 2016. "Modeling the impact of forecast-based regime switches on US inflation," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1306-1316.
    99. Schlösser, Alexander, 2020. "Forecasting industrial production in Germany: The predictive power of leading indicators," Ruhr Economic Papers 838, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    100. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2021. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Tinbergen Institute Discussion Papers 21-016/III, Tinbergen Institute.
    101. Prüser, Jan, 2023. "Data-based priors for vector error correction models," International Journal of Forecasting, Elsevier, vol. 39(1), pages 209-227.
    102. Nonejad, Nima, 2020. "A comprehensive empirical analysis of the predictive impact of the price of crude oil on aggregate equity return volatility," Journal of Commodity Markets, Elsevier, vol. 20(C).
    103. Malin Gardberg & Lorenzo (L.C.G.) Pozzi, 2018. "Consumption and wealth in the long run: an integrated unobserved component approach," Tinbergen Institute Discussion Papers 18-046/VI, Tinbergen Institute, revised 13 Sep 2018.
    104. Charemza, Wojciech & Díaz, Carlos & Makarova, Svetlana, 2019. "Quasi ex-ante inflation forecast uncertainty," International Journal of Forecasting, Elsevier, vol. 35(3), pages 994-1007.
    105. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    106. Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Paper 2012/09, Norges Bank.
    107. Souhaib Ben Taieb & Raphael Huser & Rob J. Hyndman & Marc G. Genton, 2015. "Probabilistic time series forecasting with boosted additive models: an application to smart meter data," Monash Econometrics and Business Statistics Working Papers 12/15, Monash University, Department of Econometrics and Business Statistics.
    108. Tumala, Mohammed M & Olubusoye, Olusanya E & Yaaba, Baba N & Yaya, OlaOluwa S & Akanbi, Olawale B, 2017. "Forecasting Nigerian Inflation using Model Averaging methods: Modelling Frameworks to Central Banks," MPRA Paper 88754, University Library of Munich, Germany, revised Feb 2018.
    109. Tavakolian , Hossein & Babaee , Majid & Shakeri , Abbas, 2018. "How Fluctuations in Macroeconomic Indicators Affect Inflation in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(3), pages 267-289, July.
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    112. Wang, Yudong & Ma, Feng & Wei, Yu & Wu, Chongfeng, 2016. "Forecasting realized volatility in a changing world: A dynamic model averaging approach," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 136-149.
    113. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.

  13. de Boer, P.M.C. & Paap, R., 2009. "Testing Non-nested Demand Relations: Linear Expenditure System versus Indirect Addilog," Econometric Institute Research Papers EI 2009-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Ole Boysen, 2019. "When does specification or aggregation across consumers matter for economic impact analysis models? An investigation into demand systems," Empirical Economics, Springer, vol. 56(1), pages 137-172, January.
    2. de Boer, P.M.C., 2009. "Modeling household behavior in a CGE model: linear expenditure system or indirect addilog?," Econometric Institute Research Papers EI 2009-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Shojaeddini, Ensieh & Schreiber, Andrew & Wolverton, Ann & Marten, Alex, 2024. "Consumer demand and the economy-wide costs of regulation: Modeling households with empirically estimated flexible functional forms," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    4. Cristian Ricardo Nogales Carvajal, 2009. "Un sistema lineal de gasto: identificando patrones de consumo de alimentos en Bolivia," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 1(1), pages 27-43.

  14. Nalan Basturk & Richard Paap & Dick van Dijk, 2008. "Structural Differences in Economic Growth," Tinbergen Institute Discussion Papers 08-085/4, Tinbergen Institute.

    Cited by:

    1. Eberhardt, Markus & Teal, Francis, 2009. "Econometrics for Grumblers: A New Look at the Literature on Cross-Country Growth Empirics," MPRA Paper 15813, University Library of Munich, Germany.
    2. Michelle Gilmartin & Dimitris Korobilis, 2012. "On Regional Unemployment: An Empirical Examination of the Determinants of Geographical Differentials in the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(2), pages 179-195, May.
    3. Morier, Bruno & Teles, Vladimir Kühl, 2016. "A Time-Varying Markov-Switching Model For Economic Growth," Macroeconomic Dynamics, Cambridge University Press, vol. 20(6), pages 1550-1580, September.

  15. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2008. "Incorporating responsiveness to marketing efforts in brand choice modelling," Econometric Institute Research Papers EI 2008-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Kristina Ročkutė & Inga Minelgaitė & Ligita Zailskaitė-Jakštė & Robertas Damaševičius, 2018. "Brand Awareness in the Context of Mistrust: The Case Study of an Employment Agency," Sustainability, MDPI, vol. 10(3), pages 1-13, March.

  16. Jelle Brouwer & Richard Paap & Jean-Marie Viaene, 2007. "The Trade and FDI Effects of EMU Enlargement," CESifo Working Paper Series 2123, CESifo.

    Cited by:

    1. Nicolas Coeurdacier & Roberto A. De Santis & Antonin Aviat, 2009. "Cross-border mergers and acquisitions and European integration [‘Capital flows in a globalised world: The role of policies and institutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 24(57), pages 56-106.
    2. Camarero, Mariam & Moliner, Sergi & Tamarit, Cecilio, 2024. "A Fresh Assessment of the Depth of the “Euro Effect" on US FDI," Single Market Economics Papers WP2024/18, Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs (European Commission), Chief Economist Team.
    3. Didenko, Alexander & Egorova, Tatiana, 2014. "Innovations as factor of absorptive capacity of FDI spillovers across regions of Russian Federation," MPRA Paper 59346, University Library of Munich, Germany.
    4. Campos, Nauro F. & Macchiarelli, Corrado, 2021. "The dynamics of core and periphery in the European monetary union: A new approach," Journal of International Money and Finance, Elsevier, vol. 112(C).
    5. Agenor, Pierre-Richard & Aizenman, Joshua, 2008. "Capital Market Imperfections and the Theory of Optimum Currency Areas," Santa Cruz Department of Economics, Working Paper Series qt7668j94x, Department of Economics, UC Santa Cruz.
    6. Tomáš Havránek, 2010. "Rose effect and the euro: is the magic gone?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(2), pages 241-261, June.
    7. Johan Fourie & Maria Santana-Gallego, 2017. "The Invisible Hand of Thierry Henry," Journal of Sports Economics, , vol. 18(7), pages 750-766, October.
    8. Abeliansky, Ana Lucia & Martínez-Zarzoso, Inmaculada, 2018. "The relationship between the Chinese "going out" strategy and international trade," Economics Discussion Papers 2018-20, Kiel Institute for the World Economy (IfW Kiel).
    9. Miriam Camarero & Estrella Gómez-Herrera & Cecilio Tamarit, 2017. "New evidence on Trade and FDI: how large is the Euro effect?," Working Papers 1709, Department of Applied Economics II, Universidad de Valencia.
    10. Tomáš Havránek, 2009. "Rose Effect and the Euro: The Magic is Gone," Working Papers IES 2009/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2009.
    11. Crespo-Cuaresma, Jesús & Fernández-Amador, Octavio, 2013. "Business cycle convergence in EMU: A second look at the second moment," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 239-259.
    12. Andrew K. Rose, 2017. "Why do Estimates of the EMU Effect on Trade Vary so Much?," Open Economies Review, Springer, vol. 28(1), pages 1-18, February.
    13. Henry Aray & Javier Gardeazabal, 2008. "Going Multinational under Exchange Rate Uncertainty," ThE Papers 08/19, Department of Economic Theory and Economic History of the University of Granada..
    14. Pantelis Pantelidis & Dimitrios Kyrkilis & Efthymios Nikolopoulos, 2012. "European Monetary Union and Foreign Direct Investment Inflows," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 62(1-2), pages 47-55, January -.
    15. Ansgar Belke & Julia Spies, 2008. "Enlarging the EMU to the east: what effects on trade?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(4), pages 369-389, September.
    16. Glick, Reuven & Rose, Andrew K., 2016. "Currency unions and trade: A post-EMU reassessment," European Economic Review, Elsevier, vol. 87(C), pages 78-91.
    17. Kyriacos Aristotelous & Stilianos Fountas, 2009. "What is the Impact of Currency Unions on FDI flows? Evidence from Eurozone Countries," Discussion Paper Series 2009_10, Department of Economics, University of Macedonia, revised May 2009.
    18. Dariusz K. Rosati, 2013. "Czy Polska powinna przystąpić do strefy euro?," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 10, pages 5-37.
    19. Estrella Gómez & Juliette Milgram Baleix, 2012. "EMU impact of on third countries’ exports. A gravity approach," ThE Papers 10/26, Department of Economic Theory and Economic History of the University of Granada..
    20. Michele Sabatino, 2016. "The de-industrialization process in South Italy and the new industrial policies in Europe," ERSA conference papers ersa16p885, European Regional Science Association.
    21. Cieślik, Andrzej & Turgut, Mehmet Burak, 2021. "Fiscal harmonization in view of the Euro adoption: Economic implications for Poland," Journal of Policy Modeling, Elsevier, vol. 43(2), pages 394-415.
    22. Cieślik Andrzej & Michałek Jan & Michałek Anna, 2014. "Does the Common Currency Increase Exports? Evidence from Firm-Level Data," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 41(1), pages 8-22, March.
    23. Grigor Stoevsky, 2014. "Dependencies between Labour Productivity, Export and FDI in the New EU Member Countries (cointegration analysis at sector and macroeconomic level)," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 15-42.
    24. Cuneyt KILIC & Y lmaz BAYAR & Feyza ARICA, 2014. "Effects of Currency Unions on Foreign Direct Investment Inflows: The European Economic and Monetary Union Case," International Journal of Economics and Financial Issues, Econjournals, vol. 4(1), pages 8-15.
    25. Thi-Nham Le & Thanh-Tuan Dang, 2024. "Performance Analysis of Vietnamese Provinces’ FDI Attractiveness: An Application of DEA and Malmquist Indexes," SAGE Open, , vol. 14(3), pages 21582440241, July.
    26. Ortiz Valverde, Gabriela & Latorre, MaríaC. & Cubells, José Francisco, 2024. "The EU–UK Trade and Cooperation Agreement: A short and long-term comprehensive analysis including FDI," Economic Modelling, Elsevier, vol. 139(C).
    27. Garcia-Fuentes, Pablo A. & Kennedy, P. Lynn & Ferreira, Gustavo F.C., 2013. "U.S. Foreign Direct Investment in Latin America and the Caribbean: A case of Remittances and Market Size," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142985, Southern Agricultural Economics Association.
    28. Lucke, Bernd, 2022. "Growth Effects of European Monetary Union: A Synthetic Control Approach," MPRA Paper 120662, University Library of Munich, Germany, revised 27 Mar 2024.
    29. Carsten Eckel & Hartmut Egger, 2017. "The Dilemma of Labor Unions: Local Objectives vs Global Bargaining," Review of International Economics, Wiley Blackwell, vol. 25(3), pages 534-566, August.
    30. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2025. "Which are the long-run determinants of US outward FDI? Evidence using large long-memory panels," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 34(2), pages 259-290, February.
    31. Steinwender, Claudia & Chen, Cheng, 2020. "Import Competition, Heterogeneous Preferences of Managers, and Productivity," CEPR Discussion Papers 14285, C.E.P.R. Discussion Papers.
    32. Hengfei Huan & Yingming Zhu & Jishuang Liu, 2022. "A quasi‐natural experiment research regarding the impact of regional integration expansion in the Yangtze River Delta on foreign direct investment," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1854-1876, December.
    33. Wildmer Daniel Gregori & Michela Nardo, 2021. "The effect of restrictive measures on cross‐border investment in the European Union," The World Economy, Wiley Blackwell, vol. 44(7), pages 1914-1943, July.
    34. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2019. "Searching The Us Fdi Determinants In The Eu: Is There A Euro Effect?," Working Papers 1916, Department of Applied Economics II, Universidad de Valencia.
    35. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2020. "Is there a euro effect in the drivers of US FDI? New evidence using Bayesian Model Averaging techniques," Working Papers 2020/25, Economics Department, Universitat Jaume I, Castellón (Spain).
    36. Alexandra Ferreira-Lopes, 2014. "The Welfare Cost of the EMU for Transition Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2014(4), pages 446-473.
    37. Lucke, Bernd, 2022. "Growth Effects of European Monetary Union: A Synthetic Control Approach," MPRA Paper 115373, University Library of Munich, Germany.
    38. Andrzej Cieslik & Jan Michalek & Anna Michalek, 2013. "The Impact Of The Common Currency On Exports Of New Emu Members: Firm-Level Evidence For Slovenia And Slovakia," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 8(4), pages 7-23, December.
    39. Anokye M. Adam, 2013. "Currency Union and Foreign Direct Investment Inflow: Evidence from Economic Community of West African States (ECOWAS)," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 63(1-2), pages 121-132, June.
    40. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022. "A fresh assessment of the euro effect on outward US FDI," Working Papers 2209, Department of Applied Economics II, Universidad de Valencia.
    41. Amara Zongo, 2022. "The effects of restrictive measures on cross‐border investment: Evidence from OECD and emerging countries," The World Economy, Wiley Blackwell, vol. 45(8), pages 2428-2477, August.
    42. María Santana-Gallego & Francisco Ledesma-Rodríguez & Jorge Pérez-Rodríguez, 2016. "The euro effect: Tourism creation, tourism diversion and tourism potential within the European Union," European Union Politics, , vol. 17(1), pages 46-68, March.
    43. Mekbib Gebretsadik Haile & Geoff Pugh, 2013. "Does exchange rate volatility discourage international trade? A meta-regression analysis," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 22(3), pages 321-350, April.
    44. Olawumi D Awolusi & Theuns G Pelser & Adedeji Saidi Adelekan, 2016. "Determinants of Foreign Direct Investment: New Granger Causality Evidence from Asian and African Economies," Journal of Economics and Behavioral Studies, AMH International, vol. 8(1), pages 104-119.
    45. Ioannatos, Petros E., 2021. "Systematic growth asymmetry in the Eurozone? Evidence from a natural experiment," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    46. Anokye M. Adam, 2013. "Currency Union And Foreign Direct Investment Inflow: Evidence From Economic Community Of West African States (Ecowas)," Far East Journal of Psychology and Business, Far East Research Centre, vol. 11(5), pages 73-81, May.
    47. Mariam Camarero & Estrella Gómez & Cecilio Tamarit, 2013. "EMU and Trade Revisited: Long-Run Evidence Using Gravity Equations," The World Economy, Wiley Blackwell, vol. 36(9), pages 1146-1164, September.
    48. Matthieu Bussière & Jarko Fidrmuc & Bernd Schnatz, 2008. "EU Enlargement and Trade Integration: Lessons from a Gravity Model," Review of Development Economics, Wiley Blackwell, vol. 12(3), pages 562-576, August.
    49. Thi-Nham Le & Thanh-Tuan Dang, 2022. "An Integrated Approach for Evaluating the Efficiency of FDI Attractiveness: Evidence from Vietnamese Provincial Data from 2012 to 2022," Sustainability, MDPI, vol. 14(20), pages 1-25, October.
    50. Bojnec, Štefan & Ferto, Imre, 2014. "Outward Foreign Direct Iinvestments and Merchandise Exports: The European OECD Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 87-99, June.
    51. Rajesh Chakrabarti & Krishnamurthy Subramanian & Sesha Meka & Kuntluru Sudershan, 2013. "Infrastructure and FDI: Evidence from district-level data in India," Working papers 130, Indian Institute of Management Kozhikode.
    52. Degong Ma & Chun Lei & Farid Ullah & Raza Ullah & Qadar Bakhsh Baloch, 2019. "China’s One Belt and One Road Initiative and Outward Chinese Foreign Direct Investment in Europe," Sustainability, MDPI, vol. 11(24), pages 1-13, December.

  17. van Dijk, A. & Franses, Ph.H.B.F. & Paap, R. & van Dijk, D.J.C., 2007. "Modeling regional house prices," Econometric Institute Research Papers EI 2007-55, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Andrea Cipollini & Fabio Parla, 2018. "Housing Market Shocks in Italy: a GVAR approach," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0069, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    2. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    3. Katharina Pijnenburg, 2017. "The spatial dimension of US house prices," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 466-481, February.
    4. Ling Zhang & He Wang & Yan Song & Haizhen Wen, 2019. "Spatial Spillover of House Prices: An Empirical Study of the Yangtze Delta Urban Agglomeration in China," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    5. James D. Hamilton & Michael T. Owyang, 2012. "The Propagation of Regional Recessions," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 935-947, November.
    6. Katharina Pijnenburg, 2014. "The Spatial Dimension of US House Price Developments," ERSA conference papers ersa14p127, European Regional Science Association.
    7. Dominik Blatt & Kausik Chaudhuri & Hans Manner, 2021. "Spillover in the UK Housing Market," Graz Economics Papers 2021-13, University of Graz, Department of Economics.
    8. Maureen Lankhuizen & Thomas De Graaff & Henri De Groot, 2012. "Product Heterogeneity, Intangible Barriers & Distance Decay: The effect of multiple dimensions of distance on trade across different product categories," ERSA conference papers ersa12p151, European Regional Science Association.
    9. Katharina Pijnenburg, 2013. "The Spatial Dimension of US House Price Developments," Discussion Papers of DIW Berlin 1270, DIW Berlin, German Institute for Economic Research.
    10. Osman Dou{g}an & Raffaele Mattera & Philipp Otto & Suleyman Tac{s}p{i}nar, 2024. "A Dynamic Spatiotemporal and Network ARCH Model with Common Factors," Papers 2410.16526, arXiv.org.
    11. Sergei S. Shibaev, 2016. "Recession Propagation In Small Regional Economies: Spatial Spillovers And Endogenous Clustering," Working Paper 1369, Economics Department, Queen's University.
    12. Roel Helgers & Erik Buyst, 2016. "Spatial and Temporal Diffusion of Housing Prices in the Presence of a Linguistic Border: Evidence from Belgium," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 92-122, March.
    13. Bing Zhu & Dorinth van Dijk & Colin Lizieri, 2021. "Price diffusion across international private commercial real estate markets," Working Papers 732, DNB.
    14. Ceren Ozgen & Thomas de Graff, 2013. "Sorting out the impact of cultural diversity on innovative firms. An empirical analysis of Dutch micro-data," Norface Discussion Paper Series 2013012, Norface Research Programme on Migration, Department of Economics, University College London.
    15. Maureen B.M. Lankhuizen & Thomas de Graaff & Henri L.F. de Groot, 2012. "Product Heterogeneity, Intangible Barriers and Distance Decay: The Effect of Multiple Dimensions of Distance on Trade across Different Product Categories," Tinbergen Institute Discussion Papers 12-065/3, Tinbergen Institute.

  18. Paap, R. & Segers, R. & van Dijk, D.J.C., 2007. "Do leading indicators lead peaks more than troughs?," Econometric Institute Research Papers EI 2007-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Makram El-Shagi & Gregor von Schweinitz, 2016. "Qual VAR revisited: Good forecast, bad story," Journal of Applied Economics, Universidad del CEMA, vol. 19, pages 293-322, November.
    2. Jia Liu & John M. Maheu & Yong Song, 2024. "Identification and forecasting of bull and bear markets using multivariate returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 723-745, August.
    3. van Os, Bram & van Dijk, Dick, 2024. "Accelerating peak dating in a dynamic factor Markov-switching model," International Journal of Forecasting, Elsevier, vol. 40(1), pages 313-323.
    4. Catherine Doz & Anna Petronevich, 2017. "On the consistency of the two-step estimates of the MS-DFM: a Monte Carlo study," Working Papers halshs-01592863, HAL.
    5. Çakmaklı, Cem & Paap, Richard & van Dijk, Dick, 2013. "Measuring and predicting heterogeneous recessions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2195-2216.
    6. Maximo Camacho & Gabriel Perez-Quiros & Pilar Poncela, 2012. "Extracting non-linear signals from several economic indicators," Working Papers 1202, Banco de España.
    7. Dovern, Jonas & Ziegler, Christina, 2008. "Predicting growth rates and recessions: assessing US leading indicators under real-time conditions," Kiel Working Papers 1397, Kiel Institute for the World Economy (IfW Kiel).
    8. Henri Nyberg, 2010. "Dynamic probit models and financial variables in recession forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 215-230.
    9. Marcos Bujosa & Antonio García‐Ferrer & Aránzazu de Juan & Antonio Martín‐Arroyo, 2020. "Evaluating early warning and coincident indicators of business cycles using smooth trends," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 1-17, January.
    10. Ruben Hernandez-Murillo & Michael T. Owyang & Margarita Rubio, 2013. "Clustered housing cycles," Working Papers 2013-021, Federal Reserve Bank of St. Louis.
    11. Cem Çakmakli & Hamza Dem I˙rcani & Sumru Altug, 2021. "Modelling of Economic and Financial Conditions for Real‐Time Prediction of Recessions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 663-685, June.
    12. Sylvia Kaufmann, 2010. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 309-344.
    13. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    14. Sergey Smirnov, 2011. "Those Unpredictable Recessions," HSE Working papers WP BRP 02/EC/2011, National Research University Higher School of Economics.
    15. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    16. Camacho, Maximo, 2013. "Mixed-frequency VAR models with Markov-switching dynamics," Economics Letters, Elsevier, vol. 121(3), pages 369-373.

  19. van Dijk, A. & Fok, D. & Paap, R., 2007. "A rank-ordered logit model with unobserved heterogeneity in ranking capabilities," Econometric Institute Research Papers EI 2007-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Hong il Yoo & Denise Doiron, 2012. "The use of alternative preference elicitation methods in complex discrete choice experiments," Discussion Papers 2012-16, School of Economics, The University of New South Wales.
    2. Wei Tian & Xiangyun Zhou & Yixiang Tian & Wei Meng, 2020. "Short-term competition and long-term convergence between domestic and global rating agencies: Evidence from China," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-15, May.
    3. Amel Awadelkarim & Arjun Seshadri & Itai Ashlagi & Irene Lo & Johan Ugander, 2023. "Rank-heterogeneous Preference Models for School Choice," Papers 2306.01801, arXiv.org.
    4. Bauer, Dana & Liu, Pengfei & Swallow, Stephen K. & Johnston, Robert J., 2013. "Do Exurban Communities Want More Development?," Working Papers 25, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    5. Paolo Delle Site & Karim Kilani & Valerio Gatta & Edoardo Marcucci & André de Palma, 2019. "Estimation of consistent Logit and Probit models using best, worst and best–worst choices," Post-Print hal-03719022, HAL.
    6. Anoek Castelein & Dennis Fok & Richard Paap, 2020. "A multinomial and rank-ordered logit model with inter- and intra-individual heteroscedasticity," Tinbergen Institute Discussion Papers 20-069/III, Tinbergen Institute.
    7. José L. Oviedo & Hong Il Yoo, 2017. "A Latent Class Nested Logit Model for Rank-Ordered Data with Application to Cork Oak Reforestation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1021-1051, December.
    8. Changbiao Liu & Yuling Li, 2023. "Estimation of Rank-Ordered Regret Minimization Models," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1611-1630, December.
    9. J. Veldwijk & I. P. Smith & S. Oliveri & S. Petrocchi & M. Y. Smith & L. Lanzoni & R. Janssens & I. Huys & G. A. de Wit & C. G. M Groothuis-Oudshoorn, 2024. "Comparing Discrete Choice Experiment with Swing Weighting to Estimate Attribute Relative Importance: A Case Study in Lung Cancer Patient Preferences," Medical Decision Making, , vol. 44(2), pages 203-216, February.
    10. Arnaud Dupuy & Alfred Galichon & Sonia Jaffe & Scott Duke Kominers, 2020. "Taxation In Matching Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1591-1634, November.
    11. DunGang Zang & Krishna P. Paudel & Yan Liu & Dan Liu & Yating He, 2023. "Financial decision-making behaviors of Ethnic Tibetan Households based on mental accounting," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-26, December.
    12. Strazzera, Elisabetta & Statzu, Vania, 2017. "Fostering photovoltaic technologies in Mediterranean cities: Consumers’ demand and social acceptance," Renewable Energy, Elsevier, vol. 102(PB), pages 361-371.
    13. Ghimire, Ramesh & Green, Gary T. & Paudel, Krishna P. & Poudyal, Neelam C. & Cordell, H. Ken, 2017. "Visitors' Preferences for Freshwater Amenity Characteristics: Implications from the U.S. Household Survey," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(01), pages 1-24, January.
    14. Paolo Delle Site & Karim Kilani & Valerio Gatta & Edoardo Marcucci & André de Palma, 2018. "Estimation of Logit and Probit models using best, worst and best-worst choices," Working Papers hal-01953581, HAL.
    15. Jin Yan & Hong Il Yoo, 2017. "Semiparametric Estimation of the Random Utility Model with Rank-Ordered Choice Data," Department of Economics Working Papers 2017_02, Durham University, Department of Economics.
    16. Dumortier, Jerome & Siddiki, Saba & Carley, Sanya & Cisney, Joshua & Krause, Rachel M. & Lane, Bradley W. & Rupp, John A. & Graham, John D., 2015. "Effects of providing total cost of ownership information on consumers’ intent to purchase a hybrid or plug-in electric vehicle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 71-86.
    17. Kassu Wamisho Hossiso & Aaron Laporte & David Ripplinger, 2017. "The Effects of Contract Mechanism Design and Risk Preferences on Biomass Supply for Ethanol Production," Agribusiness, John Wiley & Sons, Ltd., vol. 33(3), pages 339-357, June.
    18. Wamisho, Kassu & De Laporte, Aaron & Ripplinger, David, 2015. "Biomass Contracts for Ethanol Production: The Role of Farmer’s Risk Preferences," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205703, Agricultural and Applied Economics Association.
    19. Gopindra Sivakumar Nair & Sebastian Astroza & Chandra R. Bhat & Sara Khoeini & Ram M. Pendyala, 2018. "An application of a rank ordered probit modeling approach to understanding level of interest in autonomous vehicles," Transportation, Springer, vol. 45(6), pages 1623-1637, November.
    20. Marino, Davide & Mastronardi, Luigi & Franco, Silvio & De Gregorio, Daniela & Cicatiello, Clara & Pancino, Barbara, 2013. "Farmers’ Markets, Producer and Consumer Behaviour: Analysis of Interactions with the Metrics of Sustainability," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164751, International European Forum on System Dynamics and Innovation in Food Networks.
    21. Marco A. Palma, 2017. "Improving the prediction of ranking data," Empirical Economics, Springer, vol. 53(4), pages 1681-1710, December.
    22. Rajesh Paleti & Peter Vovsha & Gaurav Vyas & Rebekah Anderson & Gregory Giaimo, 2017. "Activity sequencing, location, and formation of individual non-mandatory tours: application to the activity-based models for Columbus, Cincinnati, and Cleveland, OH," Transportation, Springer, vol. 44(3), pages 615-640, May.
    23. Touza, Julia & Pérez-Alonso, Alicia & Chas-Amil, María L. & Dehnen-Schmutz, Katharina, 2014. "Explaining the rank order of invasive plants by stakeholder groups," Ecological Economics, Elsevier, vol. 105(C), pages 330-341.
    24. Camilo Andres Garzon & Maria Catalina Rey & Paula Juliana Sarmiento & Juan Camilo Cardenas, 2016. "Fisheries, fish pollution and biodiversity: choice experiments with fishermen, traders and consumers," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(3), pages 333-353, December.
    25. Ishant Sharma & Sabyasachee Mishra, 2023. "Ranking preferences towards adopting autonomous vehicles based on peer inputs and advertisements," Transportation, Springer, vol. 50(6), pages 2139-2192, December.
    26. Bairagi, Subir K. & Mohanty, Samarendu & Ynion, Jhoanne & Demont, Matty, 2017. "Determinants of Consumer Preferences for Rice Attributes: Evidence from South and Southeast Asia," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258384, Agricultural and Applied Economics Association.
    27. Dumortier, Jerome & Siddiki, Saba & Carley, Sanya & Cisney, Joshua & Krause, Rachel & Lane, Bradley & Rupp, John & Graham, John, 2015. "Effects of Life Cycle Cost Information Disclosure on the Purchase Decision of Hybrid and Plug-In Vehicles," IU SPEA AgEcon Papers 198643, Indiana University, IU School of Public and Environmental Affairs.
    28. Hassid, Joseph & Maniatis, George & Polemis, Michael, 2025. "How do lawyers perceive the relevance of economic and business methods knowledge in their professional practice? Evidence from Greece," MPRA Paper 124590, University Library of Munich, Germany.
    29. Ben Aoki-Sherwood & Catherine Bregou & David Liben-Nowell & Kiran Tomlinson & Thomas Zeng, 2024. "When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings," Papers 2401.11016, arXiv.org, revised May 2025.
    30. Arie Beresteanu, 2016. "Efficeincy Gains in Rank-ordered Multinomial Logit Models," Working Paper 5878, Department of Economics, University of Pittsburgh.

  20. Ravazzolo, F. & van Dijk, D.J.C. & Paap, R. & Franses, Ph.H.B.F., 2006. "Bayesian Model Averaging in the Presence of Structural Breaks," Econometric Institute Research Papers EI 2006-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    2. Schrimpf, Andreas, 2008. "International Stock Return Predictability Under Model Uncertainty," ZEW Discussion Papers 08-048, ZEW - Leibniz Centre for European Economic Research.
    3. Marco J. Lombardi & Francesco Ravazzolo, 2012. "Oil price density forecasts: exploring the linkages with stock markets," Working Paper 2012/24, Norges Bank.
    4. Lombardi, Marco J. & Ravazzolo, Francesco, 2016. "On the correlation between commodity and equity returns: Implications for portfolio allocation," Journal of Commodity Markets, Elsevier, vol. 2(1), pages 45-57.
    5. Massimo Guidolin & Francesco Ravazzolo & Andrea Tortora, 2014. "Myths and Facts about the Alleged Over-Pricing of U.S. Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 49(4), pages 477-523, November.
    6. Massimo Guidolin & Francesco Ravazzolo & Andrea Donato Tortora, 2011. "Myths and facts about the alleged over-pricing of U.S. real estate. Evidence from multi-factor asset pricing models of REIT returns," Working Paper 2011/19, Norges Bank.
    7. van Dijk, D.J.C. & Franses, Ph.H.B.F. & Ravazzolo, F., 2007. "Evaluating real-time forecasts in real-time," Econometric Institute Research Papers EI 2007-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Cem Cakmakli & Dick van Dijk, 2010. "Getting the Most out of Macroeconomic Information for Predicting Stock Returns and Volatility," Tinbergen Institute Discussion Papers 10-115/4, Tinbergen Institute.
    9. Kim, Hyun Hak & Swanson, Norman R., 2014. "Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence," Journal of Econometrics, Elsevier, vol. 178(P2), pages 352-367.
    10. Massimo Guidolin & Carrie Fangzhou Na, 2007. "The economic and statistical value of forecast combinations under regime switching: an application to predictable U.S. returns," Working Papers 2006-059, Federal Reserve Bank of St. Louis.
    11. Guidolin, Massimo & Ravazzolo, Francesco & Tortora, Andrea Donato, 2013. "Alternative econometric implementations of multi-factor models of the U.S. financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 87-111.
    12. Hyun Hak Kim & Norman Swanson, 2013. "Mining Big Data Using Parsimonious Factor and Shrinkage Methods," Departmental Working Papers 201316, Rutgers University, Department of Economics.
    13. Ravazzolo, F. & van Dijk, H.K. & Verbeek, M.J.C.M., 2007. "Predictive gains from forecast combinations using time-varying model weights," Econometric Institute Research Papers EI 2007-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  21. Fok, D. & Franses, Ph.H.B.F. & Paap, R., 2005. "Performance of Seasonal Adjustment Procedures: Simulation and Empirical Results," Econometric Institute Research Papers EI 2005-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Beria, Paolo & Laurino, Antonio, 2016. "Determinants of daily fluctuations in air passenger volumes. The effect of events and holidays on Milan Malpensa airport," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 73-84.
    2. Bhattacharya, Rina, 2014. "Inflation dynamics and monetary policy transmission in Vietnam and emerging Asia," Journal of Asian Economics, Elsevier, vol. 34(C), pages 16-26.
    3. Luciana Crosilla, 2006. "The seasonality of ISAE business and consumer surveys: methodological aspects and empirical evidence," ISAE Working Papers 68, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    4. Barend Abeln & Jan P.A.M. Jacobs, 2015. "Seasonal adjustment with and without revisions: A comparison of X-13ARIMA-SEATS and CAMPLET," CAMA Working Papers 2015-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Christian Gayer & Julien Genet, 2006. "Using factor models to construct composite indicators from BCS data - a comparison with European Commission confidence indicators," European Economy - Economic Papers 2008 - 2015 240, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    6. Inna S. Lola, 2017. "The Statistical Measurement of Business Conditions for Small Entrepreneurs," HSE Working papers WP BRP 71/STI/2017, National Research University Higher School of Economics.

  22. van Nierop, J.E.M. & Paap, R. & Bronnenberg, B. & Franses, Ph.H.B.F. & Wedel, M., 2005. "Retrieving unobserved consideration sets from household panel data," Econometric Institute Research Papers EI 2005-49, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Stephan Seiler, 2010. "The impact of search costs on consumer behavior: a dynamic approach," 2010 Meeting Papers 559, Society for Economic Dynamics.
    2. Wuyts, Stefan & Verhoef, Peter C. & Prins, Remco, 2009. "Partner selection in B2B information service markets," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 41-51.
    3. Steven M. Shugan, 2006. "Editorial: Errors in the Variables, Unobserved Heterogeneity, and Other Ways of Hiding Statistical Error," Marketing Science, INFORMS, vol. 25(3), pages 203-216, 05-06.
    4. Joseph Pancras, 2010. "A Framework to Determine the Value of Consumer Consideration Set Information for Firm Pricing Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 269-300, March.
    5. Wuyts, S.H.K. & Verhoef, P. & Prins, R., 2009. "Partner selection in B2B informational service markets," Other publications TiSEM 35b4b91f-294c-47a6-95b2-7, Tilburg University, School of Economics and Management.

  23. Franses, Ph.H.B.F. & Paap, R., 2005. "Random-Coefficient periodic autoregression," Econometric Institute Research Papers EI 2005-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Aknouche, Abdelhakim & Guerbyenne, Hafida, 2009. "Periodic stationarity of random coefficient periodic autoregressions," Statistics & Probability Letters, Elsevier, vol. 79(7), pages 990-996, April.
    2. Paul L. Anderson & Farzad Sabzikar & Mark M. Meerschaert, 2021. "Parsimonious time series modeling for high frequency climate data," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 442-470, July.
    3. Aknouche, Abdelhakim & Rabehi, Nadia, 2024. "Inspecting a seasonal ARIMA model with a random period," MPRA Paper 120758, University Library of Munich, Germany.
    4. Dennis Fok & Philip Hans Franses, 2013. "Testing earnings management," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(3), pages 281-292, August.
    5. KIYGI CALLI, Meltem & WEVERBERGH, Marcel & FRANSES, Philip Hans, 2008. "Modeling the effectiveness of hourly direct-response radio commercials," Working Papers 2008005, University of Antwerp, Faculty of Business and Economics.
    6. Kiygi Calli, Meltem & Weverbergh, Marcel & Franses, Philip Hans, 2012. "The effectiveness of high-frequency direct-response commercials," International Journal of Research in Marketing, Elsevier, vol. 29(1), pages 98-109.
    7. Aknouche, Abdelhakim & Al-Eid, Eid & Demouche, Nacer, 2016. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," MPRA Paper 75770, University Library of Munich, Germany, revised 19 Dec 2016.
    8. Abdelhakim Aknouche & Eid Al-Eid & Nacer Demouche, 2018. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," Statistical Inference for Stochastic Processes, Springer, vol. 21(3), pages 485-511, October.

  24. Richard Paap & Frank Kleibergen, 2004. "Generalized Reduced Rank Tests using the Singular Value Decomposition," Econometric Society 2004 Australasian Meetings 195, Econometric Society.

    Cited by:

    1. Grimm, Maximilian & Jordà , Òscar & Schularick, Moritz & Taylor, Alan M., 2023. "Loose monetary policy and financial instability," CEPR Discussion Papers 17896, C.E.P.R. Discussion Papers.
    2. Ken Moon & Prashant Loyalka & Patrick Bergemann & Joshua Cohen, 2022. "The Hidden Cost of Worker Turnover: Attributing Product Reliability to the Turnover of Factory Workers," Management Science, INFORMS, vol. 68(5), pages 3755-3767, May.
    3. Junji Kageyama, 2009. "Happiness and sex difference in life expectancy," MPIDR Working Papers WP-2009-009, Max Planck Institute for Demographic Research, Rostock, Germany.
    4. Nicola Campigotto & Chiara Rapallini & Aldo Rustichini, 2022. "School friendship networks, homophily and multiculturalism: evidence from European countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1687-1722, October.
    5. Mikael Carlsson & Oskar Nordstrom Skans, 2012. "Evaluating Microfoundations for Aggregate Price Rigidities: Evidence from Matched Firm-Level Data on Product Prices and Unit Labor Cost," American Economic Review, American Economic Association, vol. 102(4), pages 1571-1595, June.
    6. Takehiro Usui & Kenji Takeuchi, 2012. "Evaluating Unit-Based Pricing Of Residential Solid Waste: A Panel Data Analysis," Discussion Papers 1203, Graduate School of Economics, Kobe University.
    7. Böheim, René & Lackner, Mario, 2013. "Gender and Competition: Evidence from Jumping Competitions," IZA Discussion Papers 7243, Institute of Labor Economics (IZA).
    8. Franzoni, Francesco & Ben-David, Itzhak & Moussawi, Rabih & Sedunov, John, 2019. "The Granular Nature of Large Institutional Investors," CEPR Discussion Papers 13427, C.E.P.R. Discussion Papers.
    9. Leanora Alecia Brown & Jorge Martinez-Vazquez, 2015. "International Debt Forgiveness: Who Gets Picked and Its Effect On The Tax Effort Of Developing Countries," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1504, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    10. Hu, Yuanhong, 2020. "Heterogeneous Environmental Regulations, R&D Innovation and Manufacturing Enterprises' Export Technological Sophistication," EconStor Preprints 222983, ZBW - Leibniz Information Centre for Economics.
    11. Ulyssea, Gabriel & Ponczek, Vladimir, 2018. "Enforcement of Labor Regulation and the Labor Market Effects of Trade: Evidence from Brazil," IZA Discussion Papers 11783, Institute of Labor Economics (IZA).
    12. Arnold, Jens M. & Javorcik, Beata S. & Mattoo, Aaditya, 2011. "Does services liberalization benefit manufacturing firms?: Evidence from the Czech Republic," Journal of International Economics, Elsevier, vol. 85(1), pages 136-146, September.
    13. Rockey, James, 2012. "Reconsidering the fiscal effects of constitutions," European Journal of Political Economy, Elsevier, vol. 28(3), pages 313-323.
    14. Arturas Juodis, 2014. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 14-08, Universiteit van Amsterdam, Dept. of Econometrics.
    15. Deseau, Arnaud & Levai, Adam & Schmiegelow, Michèle, 2025. "Access to justice and economic development: Evidence from an international panel dataset," European Economic Review, Elsevier, vol. 172(C).
    16. Ken Yamada, 2010. "Intertemporal Substitution in the Time Allocation of Married Women," Working Papers 27-2010, Singapore Management University, School of Economics.
    17. Milanovic,Branko L. & Van Der Weide,Roy & Milanovic,Branko L. & Van Der Weide,Roy, 2014. "Inequality is bad for growth of the poor (but not for that of the rich)," Policy Research Working Paper Series 6963, The World Bank.
    18. Fernando Broner & Daragh Clancy & Alberto Martin & Aitor Erce, 2017. "Fiscal multipliers and foreign holdings of public debt," Economics Working Papers 1610, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2021.
    19. Aïssata Coulibaly & Urbain Thierry Yogo, 2019. "The path to shared prosperity: Leveraging financial services outreach to create decent jobs in developing countries," Post-Print hal-02298668, HAL.
    20. Kenneth Gillingham & Pei Huang, 2021. "Racial Disparities in the Health Effects from Air Pollution: Evidence from Ports," NBER Working Papers 29108, National Bureau of Economic Research, Inc.
    21. Yuanhong Hu & Sheng Sun & Yixin Dai, 2021. "Environmental regulation, green innovation, and international competitiveness of manufacturing enterprises in China: From the perspective of heterogeneous regulatory tools," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-28, March.
    22. Osei, Michael J. & Winters, John V., 2018. "Labor Demand Shocks and Housing Prices across the US: Does One Size Fit All?," IZA Discussion Papers 11636, Institute of Labor Economics (IZA).
    23. Baghana, Rufin, 2010. "Public R&D Subsidies and Productivity: Evidence from Firm-Level Data in Quebec," MERIT Working Papers 2010-055, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    24. Jere R. Behrman & John Hoddinott & John A. Maluccio & Reynaldo Martorell, 2009. "Brains versus Brawn: Labor Market Returns to Intellectual and Health Human Capital in a Poor Developing Country," Middlebury College Working Paper Series 0907, Middlebury College, Department of Economics.
    25. Berning, Joshua P., 2012. "Access to Local Agriculture and Weight Outcomes," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(1), pages 57-71, April.
    26. Gokul P. Paudel & Trung Thanh Nguyen & Ulrike Grote, 2025. "Trade‐offs between labour migration and agricultural productivity: Evidence from smallholder wheat systems in Nepal," Journal of International Development, John Wiley & Sons, Ltd., vol. 37(1), pages 202-229, January.
    27. Ćorić, Bruno & Pugh, Geoff, 2013. "Foreign direct investment and output growth volatility: A worldwide analysis," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 260-271.
    28. Nikolay Gospodinov & Raymond Kan & Cesare Robotti, 2017. "Too Good to Be True? Fallacies in Evaluating Risk Factor Models," FRB Atlanta Working Paper 2017-9, Federal Reserve Bank of Atlanta.
    29. Li, Donghui & Nguyen, Quang N. & Pham, Peter K. & Wei, Steven X., 2011. "Large Foreign Ownership and Firm-Level Stock Return Volatility in Emerging Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(4), pages 1127-1155, August.
    30. Carlsson, Mikael & Messina, Julián & Nordström Skans, Oskar, 2011. "Wage Adjustment and Productivity Shocks," IZA Discussion Papers 5719, Institute of Labor Economics (IZA).
    31. Im, Hyun Joong & Kang, Ya & Shon, Janghoon, 2020. "How does uncertainty influence target capital structure?," Journal of Corporate Finance, Elsevier, vol. 64(C).
    32. Eleanor Sanderson & Frank Windmeijer, 2013. "A weak instrument F-test in linear IV models with multiple endogenous variables," CeMMAP working papers CWP58/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Arnaud Dupuy & Alfred Galichon, 2021. "Personality Traits and the Marriage Market," Papers 2102.07476, arXiv.org.
    34. Iqbal Farrukh & Kiendrebeogo Youssouf, 2015. "Public Spending and Education Attainment in the Middle East and North Africa," Review of Middle East Economics and Finance, De Gruyter, vol. 11(2), pages 99-118, August.
    35. Johanna Vogel, 2012. "Agglomeration and Growth: Evidence from the Regions of Central and Eastern Europe," ERSA conference papers ersa12p1089, European Regional Science Association.
    36. William Arbour, 2021. "Can Recidivism be Prevented from Behind Bars? Evidence from a Behavioral Program," Working Papers tecipa-683, University of Toronto, Department of Economics.
    37. Lu, Yifan & Yamazaki, Satoshi, 2022. "Fish to fight: does catching more fish increase conflicts in Indonesia?," Working Papers 2022-02, University of Tasmania, Tasmanian School of Business and Economics.
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    1236. Jens Ruhose, 2015. "Microeconometric Analyses on Economic Consequences of Selective Migration," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 61, May.
    1237. Lakka, Spyridoula & Michalakelis, Christos & Varoutas, Dimitris & Martakos, Draculis, 2012. "Exploring the determinants of the OSS market potential: The case of the Apache web server," Telecommunications Policy, Elsevier, vol. 36(1), pages 51-68.
    1238. Emanuele Felice & Iacopo Odoardi & Dario D’Ingiullo, 2023. "The Chinese Inland-Coastal Inequality: The Role of Human Capital and the 2007–2008 Crisis Watershed," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 761-788, July.
    1239. Pinto Basto, Florence & Marques, Ana, 2024. "Operational risk disclosure quality and national culture: Evidence from the E.U. Banking industry," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 55(C).
    1240. Lex Borghans & Ron Diris, 2014. "Allocating Instruction Time: How Language Instruction Can Affect Multiple Skills," Journal of Human Capital, University of Chicago Press, vol. 8(2), pages 161-198.
    1241. Chen, Haiyang & Dai, Ya & Guo, David, 2023. "Financial literacy as a determinant of market participation: New evidence from China using IV-GMM," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 611-623.
    1242. Marina Glushenkova & Yingying Shi, 2024. "Building Bridges or Walls? Understanding Urban-Rural Price Convergence in China," Open Economies Review, Springer, vol. 35(4), pages 827-854, September.
    1243. Ahmad, Mahyudin & Hall, Stephen G., 2014. "Explaining social capital effects on growth and property rights via trust-alternative variables," MPRA Paper 58358, University Library of Munich, Germany.
    1244. Subha Mani & John Hoddinott & John Strauss, 2009. "Long-Term Impact of Investments in Early Schooling – Empirical Evidence from Rural Ethiopia," Fordham Economics Discussion Paper Series dp2009-09, Fordham University, Department of Economics.
    1245. Dimitris Hatzinikolaou & Dimitrios Hatzinikolaou, 2025. "Modeling aggregate investment under financial constraints," Empirical Economics, Springer, vol. 68(2), pages 759-781, February.
    1246. Jose M. Sallan & Oriol Lordan, 2025. "University technology transfer: leveraging experiential learning and TTO’s resources," Small Business Economics, Springer, vol. 64(1), pages 221-237, January.
    1247. McKenzie Jordi & Walls W. David, 2016. "File Sharing and Film Revenues: Estimates of Sales Displacement at the Box Office," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(1), pages 25-57, January.
    1248. Diogo Baerlocher & Rodrigo Schneider, 2021. "Cold bacon: co-partisan politics in Brazil," Public Choice, Springer, vol. 189(1), pages 161-182, October.
    1249. Orsetta Causa & Anna Vindics & Oguzhan Akgun, 2018. "An empirical investigation on the drivers of income redistribution across OECD countries," OECD Economics Department Working Papers 1488, OECD Publishing.
    1250. Siegenthaler, Michael & Basten, Christoph, 2013. "Do immigrants take or create residents jobs? Quasi-experimental evidence from Switzerland," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79780, Verein für Socialpolitik / German Economic Association.
    1251. Silva, Felipe Bastos Gurgel, 2021. "Fiscal Deficits, Bank Credit Risk, and Loan-Loss Provisions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(5), pages 1537-1589, August.
    1252. Ana Rincon & Michela VECCHI & Francesco VENTURINI, 2012. "ICT spillovers, absorptive capacity and productivity performance," Quaderni del Dipartimento di Economia, Finanza e Statistica 103/2012, Università di Perugia, Dipartimento Economia.
    1253. Abbas, Syed Kanwar & Sgro, Pasquale M., 2011. "New Keynesian Phillips Curve and inflation dynamics in Australia," Economic Modelling, Elsevier, vol. 28(4), pages 2022-2033, July.
    1254. Mallik, Girijasankar & Shankar, Sriram, 2016. "Does prior knowledge of economics and higher level mathematics improve student learning in principles of economics?," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 66-73.
    1255. Fosu, Prince, 2016. "Infrastructure and Foreign Direct Investment Inflows: Evidence from Ghana," MPRA Paper 100375, University Library of Munich, Germany, revised 13 May 2020.
    1256. d'Agostino, Giorgio & Pieroni, Luca & Procidano, Isabella, 2016. "Revisiting the relationship between welfare spending and income inequality in OECD countries," MPRA Paper 72020, University Library of Munich, Germany.
    1257. Chen, Hsien-Yi & Chen, Sheng-Syan, 2018. "Quality of government institutions and spreads on sovereign credit default swaps," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 82-95.
    1258. Alquezar-Yus, M.;, 2023. "Time Constraints and the Quality of Physician Care," Health, Econometrics and Data Group (HEDG) Working Papers 23/06, HEDG, c/o Department of Economics, University of York.
    1259. Phan, Chung & Filomeni, Stefano & Kok, Seng Kiong, 2024. "The impact of technology on access to credit: A review of loan approval and terms in rural Vietnam and Thailand," Research in International Business and Finance, Elsevier, vol. 72(PA).
    1260. Grigorios Spanos, 2019. "Firm organization and productivity across locations," Post-Print hal-02271020, HAL.
    1261. Shirodkar, Vikrant & Rajwani, Tazeeb & Stadler, Christian & Hautz, Julia & Mayer, Michael C.J., 2022. "Corporate Political Activity and Firm Performance: The Moderating Effects of International and Product Diversification," Journal of International Management, Elsevier, vol. 28(4).
    1262. Antoine, Bertille & Boldea, Otilia, 2018. "Efficient estimation with time-varying information and the New Keynesian Phillips Curve," Journal of Econometrics, Elsevier, vol. 204(2), pages 268-300.
    1263. Philip Arestis & Peter Phelps, 2023. "Local Financial Institutions and Income Inequality: Evidence from Brazil's Credit Cooperative Movement," Development and Change, International Institute of Social Studies, vol. 54(4), pages 739-779, July.
    1264. Liang Zhang & Bin Qiu & Xiaocong Xu & Shaoqin Sun, 2021. "Offshoring, Wages, and Skill Premiums: Firm‐level Evidence from China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(5), pages 1-27, September.
    1265. Kakhkharov, Jakhongir & Akimov, Alexandr & Rohde, Nicholas, 2017. "Transaction costs and recorded remittances in the post-Soviet economies: Evidence from a new dataset on bilateral flows," Economic Modelling, Elsevier, vol. 60(C), pages 98-107.
    1266. Francisco Polidoro & Curba Morris Lampert & Minyoung Kim, 2022. "External knowledge sourcing, knowledge spillovers, and internal collaboration: The effects of intrafirm linkages on firm‐university co‐authorship linkages," Strategic Management Journal, Wiley Blackwell, vol. 43(13), pages 2742-2776, December.
    1267. Jun Du & Sourafel Girma, 2009. "Source of Finance, Growth and Firm Size - Evidence from China," WIDER Working Paper Series RP2009-03, World Institute for Development Economic Research (UNU-WIDER).
    1268. Baerlocher, Diogo & Parente, Stephen L. & Rios-Neto, Eduardo, 2021. "Female Labor Force Participation and economic growth: Accounting for the gender bonus," Economics Letters, Elsevier, vol. 200(C).
    1269. Rubio-Ramos, Melissa, 2024. "Trust, violence, and coca," Journal of Development Economics, Elsevier, vol. 167(C).
    1270. Calin Arcaelan, 2015. "International Tax Competition and the Deficit Bias," CESifo Working Paper Series 5627, CESifo.
    1271. Bhattacharjee, Arnab & Maiti, Taps & Petrie, Dennis, 2014. "General equilibrium effects of spatial structure: Health outcomes and health behaviours in Scotland," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 286-297.
    1272. Alfred A. Haug & India Power, 2022. "Government Spending Multipliers in Times of Tight and Loose Monetary Policy in New Zealand," The Economic Record, The Economic Society of Australia, vol. 98(322), pages 249-270, September.
    1273. Keith Finlay & Leandro M. Magnusson, 2014. "Bootstrap Methods for Inference with Cluster-Sample IV Models," Economics Discussion / Working Papers 14-12, The University of Western Australia, Department of Economics.
    1274. André Cieplinski, 2018. "Supervision and Work Content: Industry level evidence," Department of Economics University of Siena 776, Department of Economics, University of Siena.
    1275. Miguel Cabello, 2022. "Robust Estimation of the non-Gaussian Dimension in Structural Linear Models," Papers 2212.07263, arXiv.org, revised Sep 2023.
    1276. Arnaud Dupuy & Alfred Galichon, 2012. "Personality traits and the marriage market," SciencePo Working papers Main hal-01070393, HAL.
    1277. Jean‐Paul Chavas & Fanghui Pan, 2020. "The Dynamics and Volatility of Prices in a Vertical Sector," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 353-369, January.
    1278. Lijesen, Mark & Behrens, Christiaan, 2017. "The spatial scope of airline competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 1-13.
    1279. Horst Feldmann, 2019. "World Religions and Human Capital Investment: The Case of Primary Education," Journal of Interdisciplinary Economics, , vol. 31(2), pages 101-123, July.
    1280. Seda Peksevim & Metin Ercan, 2024. "Do pension funds provide financial stability? Evidence from European Union countries," Journal of Financial Services Research, Springer;Western Finance Association, vol. 66(3), pages 297-328, December.
    1281. Ioannis Bournakis & Michela Vecchi & Francesco Venturini, 2011. "Offshoring and Specialisation: Are Industries Moving Abroad?," Quaderni del Dipartimento di Economia, Finanza e Statistica 98/2011, Università di Perugia, Dipartimento Economia.
    1282. Düwel, Cornelia, 2013. "Repo funding and internal capital markets in the financial crisis," Discussion Papers 16/2013, Deutsche Bundesbank.
    1283. Kuusi, Tero & Ali-Yrkkö, Jyrki, 2023. "Shock Infections through Global Value Chains," ETLA Working Papers 109, The Research Institute of the Finnish Economy.
    1284. Romanos Priftis & Anastasia Theofilakou, 2021. "Growth effects of corporate balance sheet adjustments in the EU," Empirical Economics, Springer, vol. 60(2), pages 773-801, February.
    1285. Dozie & Roland Pongou, 2021. "Missions and Heterogeneous Social Change: Evidence from Border Discontinuities in the Emirates of Nigeria," Working Papers 2112E Classification-I20,, University of Ottawa, Department of Economics.
    1286. Luo, Yao & Xiao, Ping & Xiao, Ruli, 2022. "Identification of dynamic games with unobserved heterogeneity and multiple equilibria," Journal of Econometrics, Elsevier, vol. 226(2), pages 343-367.
    1287. Serkan Aglasan & Roderick M. Rejesus & Stephen Hagen & William Salas, 2024. "Cover crops, crop insurance losses, and resilience to extreme weather events," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(4), pages 1410-1434, August.
    1288. Zhang, Chengsi & Sun, Yuchen & Tang, Di, 2019. "Whose confidence matters in Chinese monetary policy?," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 188-202.
    1289. Elsie L. Echeverri-Carroll & Sofia G. Ayala, 2011. "Urban Wages: Does City Size Matter?," Urban Studies, Urban Studies Journal Limited, vol. 48(2), pages 253-271, February.
    1290. Yawen Cheng & Dongmin Kong, 2023. "Educational Investment for Future Marriage? Evidence of Missing Girls from China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(4), pages 173-199, July.
    1291. Yu Ren & Qin Wang, 2020. "Estimating the rank of a beta matrix: a GMM approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 4147-4173, December.
    1292. Rajeev K. Goel & James W. Saunoris, 2022. "Foreign direct investment (FDI): friend or foe of non-innovating firms?," The Journal of Technology Transfer, Springer, vol. 47(4), pages 1162-1178, August.
    1293. Aniket A. Kawatkar & Joel W. Hay & William Stohl & Michael B. Nichol, 2013. "Incremental Expenditure Of Biologic Disease Modifying Antirheumatic Treatment Using Instrumental Variables In Panel Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 807-823, July.
    1294. Aparicio, Juan P. & Jetter, Michael, 2020. "Captivating News in Colombia," IZA Discussion Papers 13834, Institute of Labor Economics (IZA).
    1295. Jonathan I. Dingel & Kyle C. Meng & Solomon M. Hsiang, 2019. "Spatial Correlation, Trade, and Inequality: Evidence from the Global Climate," NBER Working Papers 25447, National Bureau of Economic Research, Inc.
    1296. Aziz N. Berdiev & James W. Saunoris & Friedrich Schneider, 2020. "Poverty and the shadow economy: The role of governmental institutions," The World Economy, Wiley Blackwell, vol. 43(4), pages 921-947, April.
    1297. Qianxiao Zhang & Yixue Duan, 2023. "How Digitalization Shapes Export Product Quality: Evidence from China," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    1298. Aparicio, Juan P. & Jetter, Michael, 2022. "Captivating news: Media attention and FARC kidnappings," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 69-81.
    1299. Guggenberger, Patrik & Ramalho, Joaquim J.S. & Smith, Richard J., 2012. "GEL statistics under weak identification," Journal of Econometrics, Elsevier, vol. 170(2), pages 331-349.
    1300. Ruichang Lu & Yao Luo & Ruli Xiao, 2023. "Estimation of misreporting probability in corporate credit rating: A nonparametric approach," International Studies of Economics, John Wiley & Sons, vol. 18(3), pages 260-276, September.
    1301. Roychowdhury, Punarjit, 2019. "Peer effects in consumption in India: An instrumental variables approach using negative idiosyncratic shocks," World Development, Elsevier, vol. 114(C), pages 122-137.
    1302. Bruijn, L. Michelle & Ribas, Rafael P., 2022. "“No drugs in my back yard:” The ambivalent reception of cannabis retailers," Journal of Economic Behavior & Organization, Elsevier, vol. 199(C), pages 103-121.
    1303. Kirchmaier, Isadora & Prüfer, Jens & Trautmann, Stefan T., 2018. "Religion, moral attitudes & economic behavior," Other publications TiSEM 669f51df-0d23-4657-8b16-5, Tilburg University, School of Economics and Management.
    1304. Oyèkọ́lá, Ọláyínká, 2021. "Where do people live longer?," Research in Economics, Elsevier, vol. 75(1), pages 21-44.
    1305. Qigang Yuan & Yanping Zhao & Hui Shang & Wei Zhang & Zaghum Umar, 2016. "Financing constraints on the size distribution of industrial firms: the Chinese experience," Applied Economics, Taylor & Francis Journals, vol. 48(41), pages 3899-3911, September.
    1306. Trung Thanh Nguyen & Manh Hung Do, 2022. "Female migrants and online market participation in rural Southeast Asia," TVSEP Working Papers wp-026, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.

  25. Fok, D. & Horváth, C. & Paap, R. & Franses, Ph.H.B.F., 2004. "A hierarchical Bayes error correction model to explain dynamic effects," Econometric Institute Research Papers EI 2004-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Frison, Steffi & Dekimpe, Marnik G. & Croux, Christophe & De Maeyer, Peter, 2014. "Billboard and cinema advertising: Missed opportunity or spoiled arms?," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 425-433.
    2. van Heerde, H.J. & Dekimpe, M.G. & Putsis, W.P., 2004. "Marketing Models and the Lucas Critique," ERIM Report Series Research in Management ERS-2004-080-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    4. Vroegrijk, Mark & Gijsbrechts, Els & Campo, Katia, 2016. "Battling for the Household's Category Buck: Can Economy Private Labels Defend Supermarkets Against the Hard-Discounter Threat?," Journal of Retailing, Elsevier, vol. 92(3), pages 300-318.
    5. van Heerde, H.J. & Helsen, K. & Dekimpe, M.G., 2005. "Managing Product-Harm Crises," ERIM Report Series Research in Management ERS-2005-044-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. van Everdingen, Y.M. & Fok, D. & Stremersch, S., 2008. "Modeling Global Spill-Over of New Product Takeoff," ERIM Report Series Research in Management ERS-2008-067-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. KIYGI CALLI, Meltem & WEVERBERGH, Marcel & FRANSES, Philip Hans, 2008. "Modeling the effectiveness of hourly direct-response radio commercials," Working Papers 2008005, University of Antwerp, Faculty of Business and Economics.
    8. Dawes, John G., 2012. "Brand-Pack Size Cannibalization Arising from Temporary Price Promotions," Journal of Retailing, Elsevier, vol. 88(3), pages 343-355.

  26. Fok, D. & Paap, R., 2003. "Modeling category-level purchase timing with brand-level marketing variables," Econometric Institute Research Papers 1715, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2002. "Modeling dynamic effects of promotion on interpurchase times," Econometric Institute Research Papers EI 2002-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2020. "How much do consumers know about the quality of products? Evidence from the diaper market," The Japanese Economic Review, Springer, vol. 71(4), pages 541-569, October.

  27. Bijwaard, G.E. & Franses, Ph.H.B.F. & Paap, R., 2003. "Modeling purchases as repeated events," Econometric Institute Research Papers EI 2003-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Nishio, Kazuki & Hoshino, Takahiro, 2022. "Joint modeling of effects of customer tier program on customer purchase duration and purchase amount," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    2. Andros Kourtellos & Charalambos G. Tsangarides, 2015. "Robust Correlates of Growth Spells: Do Inequality and Redistribution Matter?," Working Paper series 15-20, Rimini Centre for Economic Analysis.
    3. Zhuoxin Li & Jason A. Duan & Sam Ransbotham, 2020. "Coordination and Dynamic Promotion Strategies in Crowdfunding with Network Externalities," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 1032-1049, April.
    4. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    5. Bijwaard, Govert, 2011. "Unobserved Heterogeneity in Multiple-Spell Multiple-States Duration Models," IZA Discussion Papers 5748, Institute of Labor Economics (IZA).
    6. Ryosuke Igari & Takahiro Hoshino, 2018. "A Bayesian Gamma Frailty Model Using the Sum of Independent Random Variables: Application of the Estimation of an Interpurchase Timing Model," Keio-IES Discussion Paper Series 2018-021, Institute for Economics Studies, Keio University.
    7. Lizhen Xu & Jason A. Duan & Andrew Whinston, 2014. "Path to Purchase: A Mutually Exciting Point Process Model for Online Advertising and Conversion," Management Science, INFORMS, vol. 60(6), pages 1392-1412, June.
    8. Igari, Ryosuke & Hoshino, Takahiro, 2018. "A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 150-166.
    9. Takahiro Hoshino & Ryosuke Igari, 2017. "Quasi-Bayesian Inference for Latent Variable Models with External Information: Application to generalized linear mixed models for biased data," Keio-IES Discussion Paper Series 2017-014, Institute for Economics Studies, Keio University.
    10. Franses, Ph.H.B.F., 2004. "Forecasting in marketing," Econometric Institute Research Papers EI 2004-40, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Bijwaard, G.E., 2005. "Regularity in individual shopping trips: Implications for duration models in marketing," Econometric Institute Research Papers EI 2005-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Lawrence Kryzanowski & Yanting Wu, 2023. "Signaling effects of recurrent list‐price reductions on the likelihood of house sales," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 99-130, February.
    13. Zhuoxin Li & Jason A. Duan, 2014. "Dynamic Strategies for Successful Online Crowdfunding," Working Papers 14-09, NET Institute.
    14. Govert Ewout Bijwaard, 2014. "Multistate event history analysis with frailty," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(58), pages 1591-1620.

  28. Paap, R. & Franses, Ph.H.B.F. & van Dijk, D.J.C., 2003. "Does Africa grow slower than Asia and Latin America?," Econometric Institute Research Papers EI 2003-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Kapetanios, George, 2006. "Cluster analysis of panel data sets using non-standard optimisation of information criteria," Journal of Economic Dynamics and Control, Elsevier, vol. 30(8), pages 1389-1408, August.
    2. P.H. Franses & D. Fok & D. van Dijk, 2004. "A Multi-Level Panel Smooth Transition Autoregression for US Sectoral Production," Econometric Society 2004 Australasian Meetings 267, Econometric Society.
    3. Grinis, Inna, 2017. "Trend growth durations & shifts," LSE Research Online Documents on Economics 85126, London School of Economics and Political Science, LSE Library.

  29. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2003. "Modeling Dynamic Effects of the Marketing Mix on Market Shares," ERIM Report Series Research in Management ERS-2003-044-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Frison, Steffi & Dekimpe, Marnik G. & Croux, Christophe & De Maeyer, Peter, 2014. "Billboard and cinema advertising: Missed opportunity or spoiled arms?," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 425-433.
    2. Marusia Ivanova, 2007. "Genesis and Evolution of Market Share Predictive Models," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 117-148.
    3. Ma, Shaohui & Fildes, Robert, 2017. "A retail store SKU promotions optimization model for category multi-period profit maximization," European Journal of Operational Research, Elsevier, vol. 260(2), pages 680-692.

  30. Jeanine Kippers & Erjen van Nierop & Richard Paap & Philip Hans Franses, 2002. "An Empirical Study of Cash Payments," Tinbergen Institute Discussion Papers 02-075/4, Tinbergen Institute.

    Cited by:

    1. Bijwaard, G.E. & Franses, Ph.H.B.F., 2006. "Does rounding matter for payment efficiency?," Econometric Institute Research Papers EI 2006-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Joshi Harit & Mukherjee, Saral, 2017. "Transitions in currency denomination structure as supply disruption and demand distortion: Efficiency, Effectiveness and Bullwhip," IIMA Working Papers WP 2017-05-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. Kippers, J. & Franses, Ph.H.B.F., 2003. "Do we need all Euro denominations?," Econometric Institute Research Papers EI 2003-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Bijwaard, Govert E. & Franses, Philip Hans, 2009. "The effect of rounding on payment efficiency," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1449-1461, February.
    5. Franses, Ph.H.B.F. & Kippers, J., 2003. "How do we pay with euro notes? Empirical evidence from Monopoly experiments," Econometric Institute Research Papers EI 2003-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Franses, Philip Hans & Kippers, Jeanine, 2007. "An empirical analysis of euro cash payments," European Economic Review, Elsevier, vol. 51(8), pages 1985-1997, November.
    7. Philip Hans Franses & Max Welz, 2019. "Cash Use of the Taiwan Dollar: Is It Efficient? †," JRFM, MDPI, vol. 12(1), pages 1-6, January.

  31. Rutger van Oest & Richard Paap & Philip Hans Franses, 2002. "A Joint Framework for Category Purchase and Consumption Behavior," Tinbergen Institute Discussion Papers 02-124/4, Tinbergen Institute.

    Cited by:

    1. Franses, Ph.H.B.F., 2004. "Forecasting in marketing," Econometric Institute Research Papers EI 2004-40, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  32. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2002. "Modeling dynamic effects of promotion on interpurchase times," Econometric Institute Research Papers EI 2002-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Epstein, Leonardo D. & Inostroza-Quezada, Ignacio E. & Goodstein, Ronald C. & Choi, S. Chan, 2021. "Dynamic effects of store promotions on purchase conversion: Expanding technology applications with innovative analytics," Journal of Business Research, Elsevier, vol. 128(C), pages 279-289.
    2. Igari, Ryosuke & Hoshino, Takahiro, 2018. "A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 150-166.
    3. Ching, Andrew & Erdem, Tulin & Keane, Michael, 2007. "The Price Consideration Model of Brand Choice," MPRA Paper 4686, University Library of Munich, Germany.

  33. Paap, R. & van Dijk, H.K., 2002. "Bayes estimates of Markov trends in possibly cointegrated series: an application to US consumption and income," Econometric Institute Research Papers EI 2002-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
    2. Richard Kleijn & Herman K. van Dijk, 2006. "Bayes model averaging of cyclical decompositions in economic time series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 191-212, March.
    3. Paap, R. & Segers, R. & van Dijk, D.J.C., 2007. "Do leading indicators lead peaks more than troughs?," Econometric Institute Research Papers EI 2007-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Sylvia Kaufmann, 2014. "K-state switching models with time-varying transition distributions – Does credit growth signal stronger effects of variables on inflation?," Working Papers 14.04, Swiss National Bank, Study Center Gerzensee.
    5. Fernando Alexandre & Vasco J. Gabriel & Pedro Bação, 2007. "The Consumption-Wealth Ratio Under Asymmetric Adjustment," NIPE Working Papers 15/2007, NIPE - Universidade do Minho.
    6. Arratibel, Olga & Michaelis, Henrike, 2013. "The Impact of Monetary Policy and Exchange Rate Shocks in Poland: Evidence from a Time-Varying VAR," Discussion Papers in Economics 21088, University of Munich, Department of Economics.
    7. Richard Kwabi Ayisi & Joseph Adu, 2017. "Monetary Policy in a Markov-Switching VECM: Implications for the Cost of Disinflation in Ghana," American Journal of Economics and Business Administration, Science Publications, vol. 8(2), pages 53-61, March.
    8. Sadiye Baykara & Erdinç Telatar, 2012. "The Stationarity Of Consumption-Income Ratios With Nonlinear And Asymmetric Unit Root Tests: Evidence From Fourteen Transition Economies," Hacettepe University Department of Economics Working Papers 20129, Hacettepe University, Department of Economics.
    9. Luc Bauwens & Charles S. Bos & Herman K. van Dijk, 1999. "Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk," Tinbergen Institute Discussion Papers 99-082/4, Tinbergen Institute.
    10. Jochmann, Markus & Koop, Gary, 2011. "Regime-Switching Cointegration," SIRE Discussion Papers 2011-60, Scottish Institute for Research in Economics (SIRE).
    11. van Dijk, H.K., 2002. "On Bayesian structural inference in a simultaneous equation model," Econometric Institute Research Papers EI 2002-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE 1922, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden).
    14. Joshua C.C. Chan & Eric Eisenstat, 2015. "Efficient estimation of Bayesian VARMAs with time-varying coefficients," CAMA Working Papers 2015-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Hauzenberger, Niko & Pfarrhofer, Michael & Rossini, Luca, 2025. "Sparse time-varying parameter VECMs with an application to modeling electricity prices," International Journal of Forecasting, Elsevier, vol. 41(1), pages 361-376.
    16. De Gooijer, Jan G. & Vidiella-i-Anguera, Antoni, 2004. "Forecasting threshold cointegrated systems," International Journal of Forecasting, Elsevier, vol. 20(2), pages 237-253.
    17. Kaufmann, Sylvia, 2015. "K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation?," Journal of Econometrics, Elsevier, vol. 187(1), pages 82-94.
    18. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    19. Sylvia Kaufmann, 2011. "K-state switching models with endogenous transition distributions," Working Papers 2011-13, Swiss National Bank.
    20. Koop, G. & Strachan, R.W. & van Dijk, H.K. & Villani, M., 2005. "Bayesian approaches to cointegratrion," Econometric Institute Research Papers EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2006. "Instrumental-Variables Estimation in Markov Switching Models with Endogenous Explanatory Variables: An Application to the Term Structure of Interest Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-31, May.
    22. Rodney Strachan & Herman K. van Dijk, "undated". "Bayesian Model Averaging in Vector Autoregressive Processes with an Investigation of Stability of the US Great Ratios and Risk of a Liquidity Trap in the USA, UK and Japan," MRG Discussion Paper Series 1407, School of Economics, University of Queensland, Australia.
    23. Penelope A. Smith & Peter M. Summers, 2004. "How Well Do Markov Switching Models Describe Actual Business Cycles? The Case of Synchronization," Melbourne Institute Working Paper Series wp2004n09, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    24. Luis A. Gil-Alana & Rangan Gupta & Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2015. "Time Series Analysis of Persistence in Crude Oil Price Volatility across Bull and Bear Regimes," Working Papers 201580, University of Pretoria, Department of Economics.
    25. Tomasz Jasiński & Paweł Mielcarz, 2013. "Consumption as a Factor of Polish Economic Growth During the Global Recession of 2008/2009: A Comparison with Spain and Hungary," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    26. Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021. "Stochastic model specification in Markov switching vector error correction models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
    27. Cliff L. F. Attfield & Jonathan R. W. Temple, 2006. "Balanced growth and the great ratios: new evidence for the US and UK," Centre for Growth and Business Cycle Research Discussion Paper Series 75, Economics, The University of Manchester.
    28. Neville Francis & Michael T. Owyang, 2004. "Monetary policy in a Markov-switching VECM: implications for the cost of disinflation and the price puzzle," Working Papers 2003-001, Federal Reserve Bank of St. Louis.
    29. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    30. Maximo Camacho, 2002. "Nonlinear stochastic trends and economic fluctuations," Computing in Economics and Finance 2002 274, Society for Computational Economics.
    31. Villani, Mattias, 2006. "Bayesian point estimation of the cointegration space," Journal of Econometrics, Elsevier, vol. 134(2), pages 645-664, October.
    32. Kaufmann, Sylvia & Kugler, Peter, 2005. "Expected Money Growth, Markov Trends and the Instability of Money Demand in the Euro Area," Working papers 2005/07, Faculty of Business and Economics - University of Basel.
    33. Camacho, Maximo, 2005. "Markov-switching stochastic trends and economic fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 135-158, January.
    34. Hoogerheide, L.F. & Kaashoek, J.F. & van Dijk, H.K., 2004. "Neural network based approximations to posterior densities: a class of flexible sampling methods with applications to reduced rank models," Econometric Institute Research Papers EI 2004-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    35. Joshua C.C. Chan & Eric Eisenstat, 2013. "Gibbs Samplers for VARMA and Its Extensions," ANU Working Papers in Economics and Econometrics 2013-604, Australian National University, College of Business and Economics, School of Economics.
    36. Koester, Gerrit B. & Priesmeier, Christoph, 2015. "The Timing and Responsiveness of Fiscal Policy over the Business Cycle in Germany," MPRA Paper 68412, University Library of Munich, Germany.
    37. Hoogerheide, L.F. & Kaashoek, J.F. & van Dijk, H.K., 2002. "Functional approximations to posterior densities: a neural network approach to efficient sampling," Econometric Institute Research Papers EI 2002-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    38. Chew Lian Chua & Sarantis Tsiaplias, 2014. "A Bayesian Approach to Modelling Bivariate Time-Varying Cointegration and Cointegrating Rank," Melbourne Institute Working Paper Series wp2014n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    39. Holmes, Mark J. & Shen, Xin, 2013. "A note on the average propensity to consume, wealth and threshold adjustment," Economic Modelling, Elsevier, vol. 35(C), pages 309-313.
    40. Lennart F. Hoogerheide & Johan F. Kaashoek, 2004. "Functional Approximations to Likelihoods/Posterior Densities: A Neural Network Approach to Efficient Sampling," Computing in Economics and Finance 2004 74, Society for Computational Economics.

  34. Franses, Ph.H.B.F. & van der Leij, M.J. & Paap, R., 2001. "Modeling and forecasting outliers and level shifts in absolute returns," Econometric Institute Research Papers EI 2001-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Elena Andreou & Eric Ghysels, 2001. "Detecting Mutiple Breaks in Financial Market Volatility Dynamics," CIRANO Working Papers 2001s-65, CIRANO.
    2. Richard Paap & Philip Hans Franses & Marco Van Der Leij, 2002. "Modelling and forecasting level shifts in absolute returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 601-616.

  35. Donkers, A.C.D. & Jonker, J.-J. & Franses, Ph.H.B.F. & Paap, R., 2001. "Deriving Target Selection Rules from Endogenously Selected Samples," ERIM Report Series Research in Management ERS-2001-68-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Rust, Roland T. & Kumar, V. & Venkatesan, Rajkumar, 2011. "Will the frog change into a prince? Predicting future customer profitability," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 281-294.
    2. Donkers, Bas & van Diepen, Merel & Franses, Philip Hans, 2017. "Do charities get more when they ask more often? Evidence from a unique field experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 66(C), pages 58-65.
    3. Schröder, Nadine & Hruschka, Harald, 2016. "Investigating the effects of mailing variables and endogeneity on mailing decisions," European Journal of Operational Research, Elsevier, vol. 250(2), pages 579-589.
    4. David A. Schweidel & George Knox, 2013. "Incorporating Direct Marketing Activity into Latent Attrition Models," Marketing Science, INFORMS, vol. 32(3), pages 471-487, May.
    5. Thomas, Suman Ann & Feng, Shanfei & Krishnan, Trichy V., 2015. "To retain? To upgrade? The effects of direct mail on regular donation behavior," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 48-63.
    6. Haupt, Johannes & Lessmann, Stefan, 2020. "Targeting Cutsomers Under Response-Dependent Costs," IRTG 1792 Discussion Papers 2020-005, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    7. Piersma, Nanda & Jonker, Jedid-Jah, 2004. "Determining the optimal direct mailing frequency," European Journal of Operational Research, Elsevier, vol. 158(1), pages 173-182, October.
    8. Marc Fischer, 2019. "Practice Prize Paper–Managing Advertising Campaigns for New Product Launches: An Application at Mercedes-Benz," Marketing Science, INFORMS, vol. 38(2), pages 343-359, March.
    9. Gázquez-Abad, Juan Carlos & Canniére, Marie Hélène De & Martínez-López, Francisco J., 2011. "Dynamics of Customer Response to Promotional and Relational Direct Mailings from an Apparel Retailer: The Moderating Role of Relationship Strength," Journal of Retailing, Elsevier, vol. 87(2), pages 166-181.
    10. Hruschka, Harald, 2010. "Considering endogeneity for optimal catalog allocation in direct marketing," European Journal of Operational Research, Elsevier, vol. 206(1), pages 239-247, October.
    11. Sarkar, Mainak & De Bruyn, Arnaud, 2021. "LSTM Response Models for Direct Marketing Analytics: Replacing Feature Engineering with Deep Learning," Journal of Interactive Marketing, Elsevier, vol. 53(C), pages 80-95.
    12. Feld, Sebastian & Frenzen, Heiko & Krafft, Manfred & Peters, Kay & Verhoef, Peter C., 2013. "The effects of mailing design characteristics on direct mail campaign performance," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 143-159.
    13. Park, Chang Hee & Agarwal, Manoj K., 2018. "The order effect of advertisers on consumer search behavior in sponsored search markets," Journal of Business Research, Elsevier, vol. 84(C), pages 24-33.
    14. Johannes Haupt & Stefan Lessmann, 2020. "Targeting customers under response-dependent costs," Papers 2003.06271, arXiv.org, revised Aug 2021.
    15. van Diepen, Merel & Donkers, Bas & Franses, Philip Hans, 2009. "Does irritation induced by charitable direct mailings reduce donations?," International Journal of Research in Marketing, Elsevier, vol. 26(3), pages 180-188.
    16. Jonker, J.-J. & Piersma, N. & Van den Poel, D., 2002. "Joint optimization of customer segmentation and marketing policy to maximize long-term profitability," Econometric Institute Research Papers EI 2002-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Lemmens, A. & Croux, C., 2006. "Bagging and boosting classification trees to predict churn," Other publications TiSEM d5cb664d-5859-44db-a621-e, Tilburg University, School of Economics and Management.
    18. Haupt, Johannes & Lessmann, Stefan, 2022. "Targeting customers under response-dependent costs," European Journal of Operational Research, Elsevier, vol. 297(1), pages 369-379.

  36. Fok, D. & Franses, Ph.H.B.F. & Paap, R., 2001. "Econometric Analysis of the Market Share Attraction Model," ERIM Report Series Research in Management ERS-2001-25-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Datta, Hannes & Ailawadi, Kusum L. & van Heerde, H.J., 2016. "How well does consumer-based brand equity align with sales-based brand equity and marketing mix response?," Other publications TiSEM 341e600f-af04-42e7-9668-a, Tilburg University, School of Economics and Management.
    2. Noordegraaf-Eelens, L.H.J. & Franses, Ph.H.B.F., 2014. "Do loss profiles on the mortgage market resonate with changes in macro economic prospects, business cycle movements or policy measures?," Econometric Institute Research Papers EI 2014-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  37. van Nierop, J.E.M. & Paap, R. & Bronnenberg, B. & Franses, Ph.H.B.F., 2000. "Modeling Unobserved Consideration Sets for Household Panel Data," ERIM Report Series Research in Management ERS-2000-42-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Paap, R. & van Nierop, J.E.M. & van Heerde, H.J. & Wedel, M. & Franses, Ph.H.B.F. & Alsem, K.J., 2000. "Consideration sets, intentions and the inclusion of "Don't know" in a two-stage model for voter choice," Econometric Institute Research Papers EI 2000-33/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  38. Jonker, J.-J. & Paap, R. & Franses, Ph.H.B.F., 2000. "Modeling charity donations: target selection, response time and gift size," Econometric Institute Research Papers EI 2000-07/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Zeynep B. Ugur, 2018. "Donate More, Be Happier! Evidence from the Netherlands," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(1), pages 157-177, March.
    2. Ugur, Z.B., 2013. "From headscarves to donation : Three essays on the economics of gender, health and happiness," Other publications TiSEM 9cfb068c-c08e-47aa-8c44-f, Tilburg University, School of Economics and Management.

  39. van Dijk, D.J.C. & Franses, Ph.H.B.F. & Paap, R., 2000. "A nonlinear long memory model for US unemployment," Econometric Institute Research Papers EI 2000-30/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Guglielmo Maria Caporale & Luis A. Gil‐Alana, 2007. "Nonlinearities and Fractional Integration in the US Unemployment Rate," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(4), pages 521-544, August.

  40. Paap, R. & van Nierop, J.E.M. & van Heerde, H.J. & Wedel, M. & Franses, Ph.H.B.F. & Alsem, K.J., 2000. "Consideration sets, intentions and the inclusion of "Don't know" in a two-stage model for voter choice," Econometric Institute Research Papers EI 2000-33/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Richard Paap, 2002. "What are the advantages of MCMC based inference in latent variable models?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(1), pages 2-22, February.
    2. Allenby, Greg M., 2017. "Structural forecasts for marketing data," International Journal of Forecasting, Elsevier, vol. 33(2), pages 433-441.

  41. Franses, Ph.H.B.F. & Paap, R., 1999. "Forecasting with periodic autoregressive time series models," Econometric Institute Research Papers EI 9927-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Madalina-Gabriela ANGHEL & Aurelian DIACONU, 2016. "Equilibrium and auto regression models used for macroeconomic prognosis," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(7), pages 70-78, July.
    2. virginie terraza & stephane mussard, 2007. "New trading risk indexes: application of the shapley value in finance," Economics Bulletin, AccessEcon, vol. 3(25), pages 1-7.

  42. Franses, Ph.H.B.F. & Paap, R., 1998. "Modelling asymmetric persistence over the business cycle," Econometric Institute Research Papers EI 9852, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Guglielmo Maria Caporale & Luis A. Gil‐Alana, 2007. "Nonlinearities and Fractional Integration in the US Unemployment Rate," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(4), pages 521-544, August.

  43. Kleibergen, F.R. & Paap, R., 1998. "Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration," Econometric Institute Research Papers EI 9821, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
    2. Richard Paap & Herman K. van Dijk, 1999. "Bayes Estimates of Markov Trends in possibly Cointegrated Series: An Application to US Consumption and Income," Tinbergen Institute Discussion Papers 99-024/4, Tinbergen Institute.
    3. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney, 2012. "Bayesian model averaging in the instrumental variable regression model," Journal of Econometrics, Elsevier, vol. 171(2), pages 237-250.
    4. Antonio Ciccone & Marek Jarocinski, 2010. "Determinants of Economic Growth: Will Data Tell?," Working Papers 1009, BBVA Bank, Economic Research Department.
    5. Frank Kleibergen & Eric Zivot, 2003. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers UWEC-2002-21-P, University of Washington, Department of Economics.
    6. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    7. Villani, Mattias, 2003. "Bayes Estimators of the Cointegration Space," Working Paper Series 150, Sveriges Riksbank (Central Bank of Sweden).
    8. Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden).
    9. Sugita, Katsuhiro, 2002. "Testing For Cointegration Rank Using Bayes Factors," The Warwick Economics Research Paper Series (TWERPS) 654, University of Warwick, Department of Economics.
    10. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    11. Shu-Ping Shi, 2013. "Specification sensitivities in the Markov-switching unit root test for bubbles," Empirical Economics, Springer, vol. 45(2), pages 697-713, October.
    12. Warne, Anders, 2006. "Bayesian inference in cointegrated VAR models: with applications to the demand for euro area M3," Working Paper Series 692, European Central Bank.
    13. SILVESTRINI, Andrea, 2010. "Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration," LIDAM Reprints CORE 2220, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Jacek Osiewalski, 2011. "Bayesian Variations on the Frisch and Waugh Theme," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(1), pages 39-47, March.
    15. Gareth W. Peters & Balakrishnan Kannan & Ben Lasscock & Chris Mellen, 2010. "Model Selection and Adaptive Markov chain Monte Carlo for Bayesian Cointegrated VAR model," Papers 1004.3830, arXiv.org.
    16. Richard Paap & Frank Kleibergen, 2004. "Generalized Reduced Rank Tests using the Singular Value Decomposition," Econometric Society 2004 Australasian Meetings 195, Econometric Society.
    17. Gary Koop & Simon M. Potter & Rodney W. Strachan, 2005. "Reexamining the consumption-wealth relationship: the role of model uncertainty," Staff Reports 202, Federal Reserve Bank of New York.
    18. Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2017. "Bayesian Analysis of Boundary and Near-Boundary Evidence in Econometric Models with Reduced Rank," Tinbergen Institute Discussion Papers 17-058/III, Tinbergen Institute.
    19. Richard Kleijn, 2000. "Bayesian Testing in Cointegration Models using the Jeffreys' Prior," Econometric Society World Congress 2000 Contributed Papers 1445, Econometric Society.
    20. Rodney W. Strachan & Herman K. van Dijk, 2014. "Divergent Priors and Well Behaved Bayes Factors," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(1), pages 1-31, March.
    21. Amisano, Gianni, 2003. "Bayesian inference in cointegrated systems," Research in Economics, Elsevier, vol. 57(4), pages 287-314, December.
    22. Tsay, Ruey S. & Ando, Tomohiro, 2012. "Bayesian panel data analysis for exploring the impact of subprime financial crisis on the US stock market," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3345-3365.
    23. Christian Aßmann & Jens Boysen-Hogrefe & Markus Pape, 2024. "Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 577-609, September.
    24. Koop, G. & Strachan, R.W. & van Dijk, H.K. & Villani, M., 2005. "Bayesian approaches to cointegratrion," Econometric Institute Research Papers EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    25. Primiceri, Giorgio & Giannone, Domenico & Lenza, Michele, 2016. "Priors for the Long Run," CEPR Discussion Papers 11261, C.E.P.R. Discussion Papers.
    26. Kleibergen, Frank, 2004. "Invariant Bayesian inference in regression models that is robust against the Jeffreys-Lindley's paradox," Journal of Econometrics, Elsevier, vol. 123(2), pages 227-258, December.
    27. David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Econometrics, MDPI, vol. 4(1), pages 1-19, March.
    28. Arnold Zellner (posthumously) & Tomohiro Ando & Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2012. "Bayesian Analysis of Instrumental Variable Models: Acceptance-Rejection within Direct Monte Carlo," Tinbergen Institute Discussion Papers 12-098/III, Tinbergen Institute.
    29. Rodney Strachan & Herman K. van Dijk, "undated". "Bayesian Model Averaging in Vector Autoregressive Processes with an Investigation of Stability of the US Great Ratios and Risk of a Liquidity Trap in the USA, UK and Japan," MRG Discussion Paper Series 1407, School of Economics, University of Queensland, Australia.
    30. Frank Kleibergen & Richard Kleijn & Richard Paap, 2000. "The Bayesian Score Statistic," Tinbergen Institute Discussion Papers 00-035/4, Tinbergen Institute.
    31. Strachan, Rodney W. & Inder, Brett, 2004. "Bayesian analysis of the error correction model," Journal of Econometrics, Elsevier, vol. 123(2), pages 307-325, December.
    32. Ploberger, Werner & Phillips, Peter C.B., 2012. "Optimal estimation under nonstandard conditions," Journal of Econometrics, Elsevier, vol. 169(2), pages 258-265.
    33. Nomen Nescio, 2013. "Nomen Nescio," Tinbergen Institute Discussion Papers 12-095 not issued, Tinbergen Institute.
    34. Chew Lian Chua & Chin Nam Low, 2007. "Permanent Structural Change in the US Short-Term and Long-Term Interest Rates," Melbourne Institute Working Paper Series wp2007n22, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    35. Chew Lian Chua & Peter Summers, 2004. "Structural Error Correction Model: A Bayesian Perspective," Econometric Society 2004 Far Eastern Meetings 702, Econometric Society.
    36. Gary Koop & Roberto León-González & Rodney W. Strachan, 2010. "Efficient Posterior Simulation for Cointegrated Models with Priors on the Cointegration Space," Econometric Reviews, Taylor & Francis Journals, vol. 29(2), pages 224-242, April.
    37. Villani, Mattias, 2006. "Bayesian point estimation of the cointegration space," Journal of Econometrics, Elsevier, vol. 134(2), pages 645-664, October.
    38. Kaufmann, Sylvia & Kugler, Peter, 2005. "Expected Money Growth, Markov Trends and the Instability of Money Demand in the Euro Area," Working papers 2005/07, Faculty of Business and Economics - University of Basel.
    39. Bin Jiang & Anastasios Panagiotelis & George Athanasopoulos & Rob Hyndman & Farshid Vahid, 2016. "Bayesian Rank Selection in Multivariate Regression," Monash Econometrics and Business Statistics Working Papers 6/16, Monash University, Department of Econometrics and Business Statistics.
    40. Sugita, Katsuhiro & 杉田, 勝弘, 2006. "Time Series Analysis of the Expectations Hypothesis for the Japanese Term Structure of Interest Rates in the Presence of Multiple Structural Breaks," Discussion Papers 2006-15, Graduate School of Economics, Hitotsubashi University.
    41. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.
    42. Villani, Mattias, 2005. "Inference in Vector Autoregressive Models with an Informative Prior on the Steady State," Working Paper Series 181, Sveriges Riksbank (Central Bank of Sweden).
    43. Prüser, Jan, 2023. "Data-based priors for vector error correction models," International Journal of Forecasting, Elsevier, vol. 39(1), pages 209-227.
    44. Hoogerheide, L.F. & Kleibergen, F.R. & van Dijk, H.K., 2006. "Natural conjugate priors for the instrumental variables regression model applied to the Angrist-Krueger data," Econometric Institute Research Papers EI 2006-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    45. Chew Lian Chua & Sarantis Tsiaplias, 2014. "A Bayesian Approach to Modelling Bivariate Time-Varying Cointegration and Cointegrating Rank," Melbourne Institute Working Paper Series wp2014n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    46. Helmut Luetkepohl, 2007. "Econometric Analysis with Vector Autoregressive Models," Economics Working Papers ECO2007/11, European University Institute.
    47. Sugita, Katsuhiro & 杉田, 勝弘, 2006. "Bayesian Analysis of Dynamic Multivariate Models with Multiple Structural Breaks," Discussion Papers 2006-14, Graduate School of Economics, Hitotsubashi University.
    48. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
    49. Doojav, Gan-Ochir & Purevdorj, Munkhbayar & Batjargal, Anand, 2024. "The macroeconomic effects of exchange rate movements in a commodity-exporting developing economy," International Economics, Elsevier, vol. 177(C).

  44. Franses, Ph.H.B.F. & Paap, R., 1998. "Censored latent effects autoregression, with an application to US unemployment," Econometric Institute Research Papers EI 9841, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Paap, R. & Franses, Ph.H.B.F., 1999. "Do the US and Canada have a common nonlinear cycle in unemployment?," Econometric Institute Research Papers EI 9907-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  45. Franses, Ph.H.B.F. & Hoek, H. & Paap, R., 1995. "Bayesian Analysis of Seasonal Unit Roots and Seasonal Mean Shifts," Econometric Institute Research Papers EI 9527-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Artur C. B. da Silva Lopes & Antonio Montañés, 2004. "The Behavior of HEGY Tests for Quarterly Time Series with Seasonal Mean Shifts," Econometrics 0411010, University Library of Munich, Germany.
    2. Alexander Vosseler & Enzo Weber, 2017. "Bayesian analysis of periodic unit roots in the presence of a break," Applied Economics, Taylor & Francis Journals, vol. 49(38), pages 3841-3862, August.
    3. Norman Swanson & Richard Urbach, 2013. "Prediction and Simulation Using Simple Models Characterized by Nonstationarity and Seasonality," Departmental Working Papers 201323, Rutgers University, Department of Economics.
    4. Lawrence J. Christiano & Richard M. Todd, 2000. "The Conventional Treatment of Seasonality in Business Cycle Analysis: Does it Create Distortions?," NBER Technical Working Papers 0266, National Bureau of Economic Research, Inc.
    5. Hassler, Uwe & Rodrigues, Paulo M. M., 2002. "Seasonal Unit Root Tests under Structural Breaks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 37696, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Raimundo Soto, 2000. "Ajuste Estacional e Integración en Variables Macroeconómicas," Working Papers Central Bank of Chile 73, Central Bank of Chile.
    7. Kunst, Robert M., 1997. "Decision Bounds for Data-Admissible Seasonal Models," Economics Series 51, Institute for Advanced Studies.
    8. Rolando Gonzales Martínez, 2012. "Baysian seasonal analysis with robust priors," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 1(1), pages 88-93.
    9. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2001. "The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production," Econometric Institute Research Papers EI 2001-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Mickael Salabasis & Sune Karlsson, 2004. "Seasonality, Cycles and Unit Roots," Econometric Society 2004 Australasian Meetings 268, Econometric Society.
    11. Carmine Pappalardo & Gianfranco Piras, 2004. "Vector-Autoregression Approach to Forecast Italian Imports," ISAE Working Papers 42, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    12. Paap, Richard & Franses, Philip Hans & Hoek, Henk, 1997. "Mean shifts, unit roots and forecasting seasonal time series," International Journal of Forecasting, Elsevier, vol. 13(3), pages 357-368, September.
    13. Harvey, David I. & Leybourne, Stephen J. & Newbold, Paul, 2002. "Seasonal unit root tests with seasonal mean shifts," Economics Letters, Elsevier, vol. 76(2), pages 295-302, July.

Articles

  1. Wendun Wang & Xinyu Zhang & Richard Paap, 2019. "To pool or not to pool: What is a good strategy for parameter estimation and forecasting in panel regressions?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 724-745, August.

    Cited by:

    1. Okui, Ryo & Wang, Wendun, 2021. "Heterogeneous structural breaks in panel data models," Journal of Econometrics, Elsevier, vol. 220(2), pages 447-473.
    2. Tobias Keller & Martin Glaum & Andreas Bausch & Thorsten Bunz, 2023. "The “CEO in context” technique revisited: A replication and extension of Hambrick and Quigley (2014)," Strategic Management Journal, Wiley Blackwell, vol. 44(4), pages 1111-1138, April.
    3. Pesaran, M. H. & Pick, A. & Timmermann, A., 2022. "Forecasting with panel data: estimation uncertainty versus parameter heterogeneity," Cambridge Working Papers in Economics 2219, Faculty of Economics, University of Cambridge.
    4. Yifan Chen & Jianhua Gang & Zongxin Qian & Jinfan Zhang, 2023. "Rationality test in the housing market: Project‐level evidence from China," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 583-616, June.
    5. Didier Nibbering & Richard Paap, 2024. "Forecasting carbon emissions using asymmetric grouping," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2228-2256, September.
    6. Jack Fosten & Shaoni Nandi, 2023. "Nowcasting from cross‐sectionally dependent panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 898-919, September.
    7. Christian Brownlees & Vladislav Morozov, 2022. "Unit Averaging for Heterogeneous Panels," Papers 2210.14205, arXiv.org, revised May 2024.
    8. Greenaway-McGrevy, Ryan, 2022. "Forecast combination for VARs in large N and T panels," International Journal of Forecasting, Elsevier, vol. 38(1), pages 142-164.
    9. Pietro Giorgio Lovaglio, 2025. "Cross‐Learning With Panel Data Modeling for Stacking and Forecast Time Series Employment in Europe," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 753-780, March.

  2. Nibbering, Didier & Paap, Richard & van der Wel, Michel, 2018. "What do professional forecasters actually predict?," International Journal of Forecasting, Elsevier, vol. 34(2), pages 288-311.
    See citations under working paper version above.
  3. Koen Bel & Dennis Fok & Richard Paap, 2018. "Parameter estimation in multivariate logit models with many binary choices," Econometric Reviews, Taylor & Francis Journals, vol. 37(5), pages 534-550, May.
    See citations under working paper version above.
  4. Philip Hans Franses & Rianne Legerstee & Richard Paap, 2017. "Estimating loss functions of experts," Applied Economics, Taylor & Francis Journals, vol. 49(4), pages 386-396, January.
    See citations under working paper version above.
  5. Dennis Fok & Richard Paap & Philip Hans Franses, 2014. "Incorporating Responsiveness to Marketing Efforts in Brand Choice Modeling," Econometrics, MDPI, vol. 2(1), pages 1-25, February.
    See citations under working paper version above.
  6. Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2013. "Real-Time Inflation Forecasting in a Changing World," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 29-44, January.
    See citations under working paper version above.
  7. van den Hauwe, Sjoerd & Paap, Richard & van Dijk, Dick, 2013. "Bayesian forecasting of federal funds target rate decisions," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 19-40.
    See citations under working paper version above.
  8. Çakmaklı, Cem & Paap, Richard & van Dijk, Dick, 2013. "Measuring and predicting heterogeneous recessions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2195-2216.
    See citations under working paper version above.
  9. Fidrmuc, Jana P. & Roosenboom, Peter & Paap, Richard & Teunissen, Tim, 2012. "One size does not fit all: Selling firms to private equity versus strategic acquirers," Journal of Corporate Finance, Elsevier, vol. 18(4), pages 828-848.

    Cited by:

    1. Gentry, Matthew & Stroup, Caleb, 2018. "Entry and competition in takeover auctions," LSE Research Online Documents on Economics 90604, London School of Economics and Political Science, LSE Library.
    2. Alexander S. Gorbenko & Andrey Malenko, 2024. "Auctions with Endogenous Initiation," Journal of Finance, American Finance Association, vol. 79(2), pages 1353-1403, April.
    3. Chira, Inga & Volkov, Nikanor, 2017. "The choice of sale method and its consequences in mergers and acquisitions," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 170-184.
    4. Jurich, Stephen N. & Walker, M. Mark, 2019. "What drives merger outcomes?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 757-775.
    5. Gino Loyola & Yolanda Portilla, 2016. "A Bargaining Model of Friendly and Hostile Takeovers," International Review of Finance, International Review of Finance Ltd., vol. 16(2), pages 291-306, June.
    6. Fidrmuc, Jana P. & Xia, Chunling, 2019. "M&A deal initiation and managerial motivation," Journal of Corporate Finance, Elsevier, vol. 59(C), pages 320-343.
    7. Carolina Salva & Xiqian Zhang, 2022. "Financial versus strategic bidders and underpricing as an acquisition motive," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(9-10), pages 1830-1862, October.
    8. Hala Alqobali & Daniel Li, 2022. "The Consequence of Takeover Methods: Schemes of Arrangement vs. Takeover Offers," IJFS, MDPI, vol. 10(3), pages 1-15, August.
    9. Cheng-Few Lee & Woan-lih Liang & Fu-Lai Lin & Yating Yang, 2016. "Applications of simultaneous equations in finance research: methods and empirical results," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 943-971, November.
    10. Dyaran Bansraj & Han Smit & Vadym Volosovych, 2020. "Can Private Equity Funds Act as Strategic Buyers? Evidence from Buy-and-Build Strategies," Tinbergen Institute Discussion Papers 20-041/IV, Tinbergen Institute.
    11. Stephen N. Jurich & M. Mark Walker, 2021. "Deal motivations and bargaining power: do executives show their hand in SEC filings?," SN Business & Economics, Springer, vol. 1(4), pages 1-28, April.
    12. Schneck, Colin & Bessler, Wolfgang & Zimmermann, Jan, 2014. "Bidder Contests in International Mergers and Acquisitions: The Impact of Toeholds, Preemptive Bidding, and Termination Fees," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100493, Verein für Socialpolitik / German Economic Association.
    13. Lin William Cong, 2020. "Timing of Auctions of Real Options," Management Science, INFORMS, vol. 66(9), pages 3956-3976, September.
    14. Jurich, Stephen N. & Walker, M. Mark, 2022. "Initiating contact in merger negotiations: Who leads and who follows?," Journal of Economics and Business, Elsevier, vol. 119(C).
    15. Hege, Ulrich & Lovo, Stefano & Slovin, Myron B. & Sushka, Marie E., 2018. "Divisional Buyouts by Private Equity and the Market for Divested Assets," TSE Working Papers 18-948, Toulouse School of Economics (TSE).
    16. Renneboog, Luc & Vansteenkiste, C., 2019. "Failure and Success in Mergers and Acquisitions," Discussion Paper 2019-026, Tilburg University, Center for Economic Research.
    17. Crifo, Patricia & Forget, Vanina D. & Teyssier, Sabrina, 2015. "The price of environmental, social and governance practice disclosure: An experiment with professional private equity investors," Journal of Corporate Finance, Elsevier, vol. 30(C), pages 168-194.
    18. Michi NISHIHARA, 2021. "How should a startup respond to acquirers? A real options analysis," Discussion Papers in Economics and Business 20-24, Osaka University, Graduate School of Economics.
    19. Sheeba Kapil & Vrinda Rawal, 2023. "Systematic Literature Review of Private Equity Determinants: Status, Evidence and Open Issues," Vision, , vol. 27(5), pages 567-581, November.
    20. Morkoetter, Stefan & Wetzer, Thomas, 2015. "Conflicts of Interest and the Role of Financial Advisors in M&A Transactions: Empirical Evidence from the Private Equity Industry," Working Papers on Finance 1515, University of St. Gallen, School of Finance, revised Apr 2017.
    21. Sarah Osborne, 2020. "Abnormal returns and asymmetric information surrounding strategic and financial acquisitions," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3991-4030, December.
    22. James Ang & Irena Hutton & Mary Anne Majadillas, 2014. "Manager Divestment in Leveraged Buyouts," European Financial Management, European Financial Management Association, vol. 20(3), pages 462-493, June.
    23. Lukas, Elmar & Pereira, Paulo J. & Rodrigues, Artur, 2023. "On the determinants of the dynamic choice between mergers and tender offers," Journal of Corporate Finance, Elsevier, vol. 83(C).
    24. Morkoetter, Stefan & Wetzer, Thomas, 2015. "Do Private Equity Funds Always Pay Less? A Synergy-Related Explanation Based on Add-on Acquisitions," Working Papers on Finance 1522, University of St. Gallen, School of Finance, revised Sep 2016.
    25. Chiarella, Carlo & Ostinelli, Diego, 2020. "Financial or strategic buyers: Who is at the gate?," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 393-407.
    26. Bessler, Wolfgang & Schneck, Colin & Zimmermann, Jan, 2015. "Bidder contests in international mergers and acquisitions: The impact of toeholds, preemptive bidding, and termination fees," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 4-23.
    27. Hammer, Benjamin & Marcotty-Dehm, Nikolaus & Schweizer, Denis & Schwetzler, Bernhard, 2022. "Pricing and value creation in private equity-backed buy-and-build strategies," Journal of Corporate Finance, Elsevier, vol. 77(C).
    28. Schlingemann, Frederik & Wu, Hong, 2015. "Determinants and shareholder wealth effects of the sales method in acquisitions," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 469-485.
    29. Patricia Crifo & Vanina Forget & Sabrina Teyssier, 2012. "The price of unsustainability: An experiment with professional private equity investors," Working Papers hal-00757203, HAL.
    30. Lukas, Elmar & Pereira, Paulo J. & Rodrigues, Artur, 2019. "Designing optimal M&A strategies under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 1-20.
    31. Yost, Benjamin P., 2023. "Do tax-based proprietary costs discourage public listing?," Journal of Accounting and Economics, Elsevier, vol. 75(2).

  10. Nalan Baştürk & Richard Paap & Dick van Dijk, 2012. "Structural differences in economic growth: an endogenous clustering approach," Applied Economics, Taylor & Francis Journals, vol. 44(1), pages 119-134, January.

    Cited by:

    1. Tim Salimans, 2011. "Variable Selection and Functional Form Uncertainty in Cross-Country Growth Regressions," Tinbergen Institute Discussion Papers 11-012/4, Tinbergen Institute.
    2. Basturk, N. & Paap, R. & van Dijk, D.J.C., 2010. "Financial Development and Convergence Clubs," Econometric Institute Research Papers EI 2010-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Evaluation of technology clubs by clustering: A cautionary note," MPRA Paper 109138, University Library of Munich, Germany.
    4. Michelle Gilmartin & Dimitris Korobilis, 2012. "On Regional Unemployment: An Empirical Examination of the Determinants of Geographical Differentials in the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(2), pages 179-195, May.

  11. Dennis Fok & Richard Paap & Bram Van Dijk, 2012. "A Rank‐Ordered Logit Model With Unobserved Heterogeneity In Ranking Capabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 831-846, August.
    See citations under working paper version above.
  12. Fok, Dennis & Paap, Richard & Franses, Philip Hans, 2012. "Modeling dynamic effects of promotion on interpurchase times," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3055-3069.
    See citations under working paper version above.
  13. Bram van Dijk & Philip Hans Franses & Richard Paap & Dick van Dijk, 2011. "Modelling regional house prices," Applied Economics, Taylor & Francis Journals, vol. 43(17), pages 2097-2110.
    See citations under working paper version above.
  14. Philip Hans Franses & Richard Paap, 2011. "Random‐coefficient periodic autoregressions," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(1), pages 101-115, February.
    See citations under working paper version above.
  15. Csilla Horváth & Andreas Günther & Richard Paap, 2010. "Seasonal patterns in slot-machine gambling in Germany," International Gambling Studies, Taylor & Francis Journals, vol. 10(3), pages 255-268, December.

    Cited by:

    1. Gerhard Meyer & Marc von Meduna & Tim Brosowski & Tobias Hayer, 2015. "Compliance check of gambler and youth protection in German amusement arcades: a pilot study," International Gambling Studies, Taylor & Francis Journals, vol. 15(3), pages 343-360, December.

  16. Dennis Fok & Richard Paap, 2009. "Modeling category‐level purchase timing with brand‐level marketing variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(3), pages 469-489, April.
    See citations under working paper version above.
  17. Paul De Boer & Richard Paap, 2009. "Testing non‐nested demand relations: linear expenditure system versus indirect addilog," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 368-384, August.
    See citations under working paper version above.
  18. Paap, Richard & Segers, Rene & van Dijk, Dick, 2009. "Do Leading Indicators Lead Peaks More Than Troughs?," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 528-543.
    See citations under working paper version above.
  19. Philip Hans Franses & Marco van der Leij & Richard Paap, 2008. "A Simple Test for GARCH Against a Stochastic Volatility Model," Journal of Financial Econometrics, Oxford University Press, vol. 6(3), pages 291-306, Summer.

    Cited by:

    1. Dongming Zhu & John W. Galbraith, 2009. "A Generalized Asymmetric Student-t Distribution with Application to Financial Econometrics," CIRANO Working Papers 2009s-13, CIRANO.
    2. Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Veronika Czellar & David T. Frazier & Eric Renault, 2020. "Approximate Maximum Likelihood for Complex Structural Models," Papers 2006.10245, arXiv.org.
    4. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2016. "Regime Dependent Effects of Inflation Uncertainty on Real Growth: A Markov Switching Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 135-155, May.
    5. Mustafa Caglayan & Ozge Kandemir & Kostas Mouratidis, 2011. "Real effects of inflation uncertainty in the US," Working Papers 2011002, The University of Sheffield, Department of Economics, revised Feb 2015.
    6. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2021. "Approximate Maximum Likelihood for Complex Structural Models," The Warwick Economics Research Paper Series (TWERPS) 1337, University of Warwick, Department of Economics.
    7. M. Berument & Yeliz Yalcin & Julide Yildirim, 2011. "The inflation and inflation uncertainty relationship for Turkey: a dynamic framework," Empirical Economics, Springer, vol. 41(2), pages 293-309, October.

  20. Brouwer, Jelle & Paap, Richard & Viaene, Jean-Marie, 2008. "The trade and FDI effects of EMU enlargement," Journal of International Money and Finance, Elsevier, vol. 27(2), pages 188-208, March.
    See citations under working paper version above.
  21. Geweke, John & Groenen, Patrick J.F. & Paap, Richard & van Dijk, Herman K., 2007. "Computational techniques for applied econometric analysis of macroeconomic and financial processes," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3506-3508, April.

    Cited by:

    1. Wolfgang Polasek, 2008. "Jean-Michel Marin, Christian P. Robert: Bayesian Core. A Practical Approach to Computational Bayesian Statistics," Statistical Papers, Springer, vol. 49(2), pages 397-398, April.

  22. Fok, Dennis & Hans Franses, Philip & Paap, Richard, 2007. "Seasonality and non-linear price effects in scanner-data-based market-response models," Journal of Econometrics, Elsevier, vol. 138(1), pages 231-251, May.

    Cited by:

    1. Venera Timiryanova & Irina Lakman & Vadim Prudnikov & Dina Krasnoselskaya, 2022. "Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data," Forecasting, MDPI, vol. 5(1), pages 1-25, December.
    2. Yuri Peers & Dennis Fok & Philip Hans Franses, 2012. "Modeling Seasonality in New Product Diffusion," Marketing Science, INFORMS, vol. 31(2), pages 351-364, March.
    3. Qi Feng & Sirong Luo & Dan Zhang, 2014. "Dynamic Inventory–Pricing Control Under Backorder: Demand Estimation and Policy Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 149-160, February.
    4. Guidolin, Mariangela & Guseo, Renato, 2014. "Modelling seasonality in innovation diffusion," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 33-40.
    5. Haupt, Harry & Kagerer, Kathrin, 2012. "Beyond mean estimates of price and promotional effects in scanner-panel sales–response regression," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 470-483.
    6. Wolters, Jannik & Huchzermeier, Arnd, 2021. "Joint In-Season and Out-of-Season Promotion Demand Forecasting in a Retail Environment," Journal of Retailing, Elsevier, vol. 97(4), pages 726-745.
    7. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 403-436, National Bureau of Economic Research, Inc.

  23. Bijwaard, Govert E. & Franses, Philip Hans & Paap, Richard, 2006. "Modeling Purchases as Repeated Events," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 487-502, October.
    See citations under working paper version above.
  24. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    See citations under working paper version above.
  25. Richard Paap & Philip Hans Franses & Bas Donkers & Jedid-Jah Jonker, 2006. "Deriving target selection rules from endogenously selected samples," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 549-562.
    See citations under working paper version above.
  26. Paap, Richard & Franses, Philip Hans & van Dijk, Dick, 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, Elsevier, vol. 77(2), pages 553-570, August.

    Cited by:

    1. Tim Salimans, 2011. "Variable Selection and Functional Form Uncertainty in Cross-Country Growth Regressions," Tinbergen Institute Discussion Papers 11-012/4, Tinbergen Institute.
    2. Serge Rey & Florent Deisting, 2012. "GDP per Capita among African Countries over the Period 1950-2008: Highlights of Convergence Clubs," Post-Print hal-01881912, HAL.
    3. Kerekes, Monika, 2012. "Growth miracles and failures in a Markov switching classification model of growth," Journal of Development Economics, Elsevier, vol. 98(2), pages 167-177.
    4. Owen, Ann L. & Temesvary, Judit, 2012. "Foreign lending, local lending, and economic growth," MPRA Paper 39978, University Library of Munich, Germany.
    5. Bram van Dijk & Philip Hans Franses & Richard Paap & Dick van Dijk, 2011. "Modelling regional house prices," Applied Economics, Taylor & Francis Journals, vol. 43(17), pages 2097-2110.
    6. Amélie Charles & Olivier Darné & Jean-François Hoarau, 2010. "Does the real GDP per capita convergence hold in the Common Market for Eastern and Southern Africa?," Post-Print hal-00797485, HAL.
    7. David Audretsch & Mark Sanders & Lu Zhang, 2021. "International product life cycles, trade and development stages," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1630-1673, October.
    8. Jerzmanowski, Michal, 2006. "Empirics of hills, plateaus, mountains and plains: A Markov-switching approach to growth," Journal of Development Economics, Elsevier, vol. 81(2), pages 357-385, December.
    9. Basturk, N. & Paap, R. & van Dijk, D.J.C., 2010. "Financial Development and Convergence Clubs," Econometric Institute Research Papers EI 2010-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Eberhardt, Markus & Teal, Francis, 2009. "Econometrics for Grumblers: A New Look at the Literature on Cross-Country Growth Empirics," MPRA Paper 15813, University Library of Munich, Germany.
    11. Tedesco, Ilaria & Pelloni, Alessandra & Trovato, Giovanni, 2015. "Oecd Agricultural Subsidies And Poverty Rates In Lower Income Countries," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(2), pages 1-19, April.
    12. Vidoli, Francesco & Pignataro, Giacomo & Benedetti, Roberto, 2022. "Identification of spatial regimes of the production function of Italian hospitals through spatially constrained cluster-wise regression," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    13. Di Vaio, Gianfranco & Enflo, Kerstin, 2011. "Did globalization drive convergence? Identifying cross-country growth regimes in the long run," European Economic Review, Elsevier, vol. 55(6), pages 832-844, August.
    14. Rodríguez, Francisco & Shelton, Cameron A., 2013. "Cleaning up the kitchen sink: Specification tests and average derivative estimators for growth econometrics," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 260-273.
    15. Michele Battisti & Christopher F. Parmeter, 2010. "Convergence Tools and Mixture Analysis," Working Papers CELEG 1007, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    16. Owen, Ann L. & Temesvary, Judit, 2014. "Heterogeneity in the growth and finance relationship: How does the impact of bank finance vary by country and type of lending?," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 275-288.
    17. Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.
    18. Yuki, Kazuhiro, 2016. "Education, Inequality, And Development In A Dual Economy," Macroeconomic Dynamics, Cambridge University Press, vol. 20(1), pages 27-69, January.
    19. Chris Papageorgiou & Winford H. Masanjala, 2006. "Initial Conditions, European Colonialism and Africa's Growth," Departmental Working Papers 2006-01, Department of Economics, Louisiana State University.
    20. Ann L. Owen & Julio Videras, 2016. "Classifying Human Development with Latent Class Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 959-981, July.
    21. Walheer, Barnabé, 2016. "Growth and convergence of the OECD countries: A multi-sector production-frontier approach," European Journal of Operational Research, Elsevier, vol. 252(2), pages 665-675.
    22. Ann Owen & Julio Videras & Lewis Davis, 2009. "Do all countries follow the same growth process?," Journal of Economic Growth, Springer, vol. 14(4), pages 265-286, December.
    23. Deng, Wen-Shuenn & Lin, Yi-Chen & Gong, Jinguo, 2012. "A smooth coefficient quantile regression approach to the social capital–economic growth nexus," Economic Modelling, Elsevier, vol. 29(2), pages 185-197.
    24. Amélie Charles & Olivier Darne & Jean-François Hoarau, 2012. "Convergence of real per capita GDP within COMESA countries: A panel unit root evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 53-71, August.
    25. Michelle Gilmartin & Dimitris Korobilis, 2012. "On Regional Unemployment: An Empirical Examination of the Determinants of Geographical Differentials in the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(2), pages 179-195, May.
    26. Zheng Ying & Chang-Rui Dong & Hsu-Ling Chang & Chi-Wei Su, 2014. "Are Real GDP Levels Stationary in African Countries?," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 392-401, September.
    27. Becchetti, L. & Corrado, L. & Rossetti , F., 2008. "Easterlin-types and Frustrated Achievers: the Heterogeneous Effects of Income Changes on Life Satisfaction," Cambridge Working Papers in Economics 0816, Faculty of Economics, University of Cambridge.
    28. Pérez-Urdiales, María & Baerenklau, Kenneth A., 2019. "Learning to live within your (water) budget: Evidence from allocation-based rates," Resource and Energy Economics, Elsevier, vol. 57(C), pages 205-221.
    29. Morier, Bruno & Teles, Vladimir Kühl, 2016. "A Time-Varying Markov-Switching Model For Economic Growth," Macroeconomic Dynamics, Cambridge University Press, vol. 20(6), pages 1550-1580, September.
    30. Castellacci, Fulvio, 2008. "Technology clubs, technology gaps and growth trajectories," MPRA Paper 27595, University Library of Munich, Germany.
    31. Chen, Baizhu & Phillips, Kerk L., 2008. "Regional Growth in China: An Empirical Investigation using Multiple Imputation and Province-level Panel Data," MPRA Paper 23553, University Library of Munich, Germany.
    32. Marco Alfo & Giovanni Trovato & Robert J. Waldmann, 2008. "Testing for country heterogeneity in growth models using a finite mixture approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 487-514.
    33. Antonio Sianes & Luis A. Fernández-Portillo & Adela Toscano-Valle & Elena Pérez-Velasco, 2023. "Heterogeneity in financing for development strategies as a hindering factor to achieve a global agreement on the 2030 Agenda," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    34. Rosa Bernardini Papalia & Silvia Bertarelli, 2013. "Nonlinearities in economic growth and club convergence," Empirical Economics, Springer, vol. 44(3), pages 1171-1202, June.
    35. Guanchun Liu & Shichang Ma & Chien‐Chiang Lee & Ming Xu, 2020. "Growth decomposition bias when accounting for heterogeneous regimes: Evidence from China," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 691-711, May.
    36. Franses, Ph.H.B.F., 2004. "Forecasting in marketing," Econometric Institute Research Papers EI 2004-40, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    37. Ntombiyesibini Matonana & Andrew Phiri, 2020. "Convergence Dynamics between South Africa and Her Main Trading Partners," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 18(1 (Spring), pages 25-44.
    38. Gianfranco Di Vaio & Kerstin Enflo, 2009. "Did Globalization Lead to Segmentation? Identifying Cross-Country Growth Regimes in the Long-Run," Discussion Papers 09-08, University of Copenhagen. Department of Economics.
    39. Nalan Baştürk & Richard Paap & Dick van Dijk, 2012. "Structural differences in economic growth: an endogenous clustering approach," Applied Economics, Taylor & Francis Journals, vol. 44(1), pages 119-134, January.
    40. Guanchun Liu & Chien-Chiang Lee & Yuanyuan Liu, 2020. "Growth path heterogeneity across provincial economies in China: the role of geography versus institutions," Empirical Economics, Springer, vol. 59(2), pages 503-546, August.
    41. Owen, Ann L. & Videras, Julio, 2012. "The quality of growth," MPRA Paper 38342, University Library of Munich, Germany.
    42. Nalan Basturk & Richard Paap & Dick van Dijk, 2008. "Structural Differences in Economic Growth," Tinbergen Institute Discussion Papers 08-085/4, Tinbergen Institute.
    43. Guanchun Liu, Yuanyuan Liu, and Chien-Chiang Lee, 2020. "Growth Sources of Green Economy and Energy Consumption in China: New Evidence Accounting for Heterogeneous Regimes," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6), pages 33-54.
    44. Arye Hillman, 2007. "Economic and security consequences of supreme values," Public Choice, Springer, vol. 131(3), pages 259-280, June.
    45. Richard Startz, 2020. "The next hundred years of growth and convergence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 99-113, January.
    46. Bos, J.W.B. & Economidou, C. & Koetter, M. & Kolari, J.W., 2010. "Do all countries grow alike?," Journal of Development Economics, Elsevier, vol. 91(1), pages 113-127, January.
    47. Ferreira Paulo & Dionísio Andreia, 2016. "GDP growth and convergence determinants in the European Union: a crisp-set analysis," Review of Economic Perspectives, Sciendo, vol. 16(4), pages 279-296, December.
    48. Michele Battisti & Christopher F. Parmeter, 2011. "Income Polarization, Convergence Tools and Mixture Analysis," Working Papers 2011-17, University of Miami, Department of Economics.
    49. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    50. Laura Serrano & Antonio Sianes & Antonio Ariza-Montes, 2020. "Understanding the Implementation of Airbnb in Urban Contexts: Towards a Categorization of European Cities," Land, MDPI, vol. 9(12), pages 1-21, December.
    51. Kerekes, Monika, 2009. "Growth miracles and failures in a Markov switching classification model of growth," Discussion Papers 2009/11, Free University Berlin, School of Business & Economics.

  27. Paap, Richard & van Nierop, Erjen & van Heerde, Harald J. & Wedel, Michel & Franses, Philip Hans & Alsem, Karel Jan, 2005. "Consideration sets, intentions and the inclusion of "don't know" in a two-stage model for voter choice," International Journal of Forecasting, Elsevier, vol. 21(1), pages 53-71.
    See citations under working paper version above.
  28. Franses, Philip Hans & Paap, Richard & Vroomen, Bjorn, 2004. "Forecasting unemployment using an autoregression with censored latent effects parameters," International Journal of Forecasting, Elsevier, vol. 20(2), pages 255-271.

    Cited by:

    1. Pincheira, Pablo & Hernández, Ana María, 2019. "Forecasting Unemployment Rates with International Factors," MPRA Paper 97855, University Library of Munich, Germany.
    2. Österholm, Pär, 2009. "Improving Unemployment Rate Forecasts Using Survey Data," Working Papers 112, National Institute of Economic Research.
    3. Olmedo, Elena, 2011. "Is there chaos in the Spanish labour market?," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1045-1053.
    4. Elena Olmedo, 2014. "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 183-197, February.
    5. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    6. Antipin, Jan-Erik & Boumediene, Farid Jimmy & Österholm, Pär, 2013. "On the Usefulness of Constant Gain Least Squares when Forecasting the Unemployment Rate," Working Papers 129, National Institute of Economic Research.
    7. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
    8. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    9. Chen, Chun-I, 2008. "Application of the novel nonlinear grey Bernoulli model for forecasting unemployment rate," Chaos, Solitons & Fractals, Elsevier, vol. 37(1), pages 278-287.
    10. Miquel Clar-Lopez & Jordi López-Tamayo & Raúl Ramos, 2014. "Unemployment forecasts, time varying coefficient models and the Okun’s law in Spanish regions," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 247-262.
    11. Simionescu Mihaela, 2015. "Kalman Filter or VAR Models to Predict Unemployment Rate in Romania?," Naše gospodarstvo/Our economy, Sciendo, vol. 61(3), pages 3-21, June.

  29. Paap, Richard & van Dijk, Herman K, 2003. "Bayes Estimates of Markov Trends in Possibly Cointegrated Series: An Application to U.S. Consumption and Income," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(4), pages 547-563, October.
    See citations under working paper version above.
  30. Jeanine Kippers & Erjen van Nierop & Richard Paap & Philip Hans Franses, 2003. "An Empirical Study of Cash Payments," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(4), pages 484-508, November.
    See citations under working paper version above.
  31. Richard Paap & Philip Hans Franses & Marco Van Der Leij, 2002. "Modelling and forecasting level shifts in absolute returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 601-616.

    Cited by:

    1. Broto, Carmen & Ruiz Ortega, Esther, 2003. "Unobserved component models with asymmetric conditional variances," DES - Working Papers. Statistics and Econometrics. WS ws032003, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Imene Mootamri & Mohamed Boutahar & Anne Peguin-Feissolle, 2008. "A fractionally integrated exponential STAR model applied to the US real effective exchange rate," Post-Print halshs-00390134, HAL.
    3. Wang, Yudong & Wei, Yu & Wu, Chongfeng, 2010. "Auto-correlated behavior of WTI crude oil volatilities: A multiscale perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5759-5768.
    4. Dufrenot, Gilles & Guegan, Dominique & Peguin-Feissolle, Anne, 2005. "Long-memory dynamics in a SETAR model - applications to stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(5), pages 391-406, December.
    5. Gilles Dufrénot & Dominique Guegan & Anne Peguin-Feissolle, 2005. "Modelling squared returns using a SETAR model with long-memory dynamics," Post-Print halshs-00179285, HAL.
    6. VAN BELLEGEM, Sébastien, 2011. "Locally stationary volatility modelling," LIDAM Discussion Papers CORE 2011041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.
    8. de Pooter, M.D. & van Dijk, D.J.C., 2004. "Testing for changes in volatility in heteroskedastic time series - a further examination," Econometric Institute Research Papers EI 2004-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Mohamed Boutahar & Imene Mootamri & Anne Peguin-Feissolle, 2007. "An exponential FISTAR model applied to the US real effective exchange rate," Working Papers halshs-00353836, HAL.

  32. Richard Paap, 2002. "What are the advantages of MCMC based inference in latent variable models?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(1), pages 2-22, February.

    Cited by:

    1. Lydia Simon & Jost Adler, 2022. "Worth the effort? Comparison of different MCMC algorithms for estimating the Pareto/NBD model," Journal of Business Economics, Springer, vol. 92(4), pages 707-733, May.
    2. Vica Tendenan & Richard Gerlach & Chao Wang, 2020. "Tail risk forecasting using Bayesian realized EGARCH models," Papers 2008.05147, arXiv.org, revised Aug 2020.
    3. Luca Grassetti, 2011. "A note on transformed likelihood approach in linear dynamic panel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 221-240, June.
    4. Chonu, Gi Kunchana, 2013. "Comparison between Maximum Likelihood and Bayesian Estimation in Structural Equation Modelling and Effects of Informative Priors," Thesis Commons xef3g, Center for Open Science.
    5. Martin Burda & Roman Liesenfeld & Jean-Francois Richard, 2008. "Bayesian Analysis of a Probit Panel Data Model with Unobserved Individual Heterogeneity and Autocorrelated Errors," Working Papers tecipa-321, University of Toronto, Department of Economics.
    6. Taghreed Alghamdi & Khalid Elgazzar & Taysseer Sharaf, 2021. "Spatiotemporal Traffic Prediction Using Hierarchical Bayesian Modeling," Future Internet, MDPI, vol. 13(9), pages 1-18, August.
    7. Yang, Yang & Longini Jr., Ira M. & Elizabeth Halloran, M., 2007. "A data-augmentation method for infectious disease incidence data from close contact groups," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6582-6595, August.

  33. Kleibergen, Frank & Paap, Richard, 2002. "Priors, posteriors and bayes factors for a Bayesian analysis of cointegration," Journal of Econometrics, Elsevier, vol. 111(2), pages 223-249, December.
    See citations under working paper version above.
  34. van Dijk, Dick & Franses, Philip Hans & Paap, Richard, 2002. "A nonlinear long memory model, with an application to US unemployment," Journal of Econometrics, Elsevier, vol. 110(2), pages 135-165, October.

    Cited by:

    1. Kapetanios, George, 2006. "Nonlinear autoregressive models and long memory," Economics Letters, Elsevier, vol. 91(3), pages 360-368, June.
    2. Baillie, Richard T. & Kapetanios, George, 2007. "Testing for Neglected Nonlinearity in Long-Memory Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 447-461, October.
    3. Laurent Ferrara & Dominique Guégan, 2006. "Detection of the Industrial Business Cycle using SETAR Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 353-371.
    4. Guglielmo Maria Caporale & Luis A. Gil‐Alana, 2007. "Nonlinearities and Fractional Integration in the US Unemployment Rate," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(4), pages 521-544, August.
    5. José M. Belbute & Alfredo Marvão Pereira, 2015. "Does Final Energy Demand in Portugal Exhibit Long Memory? A Fractional Integration Analysis," Working Papers 163, Department of Economics, College of William and Mary.
    6. David Ubilava & Matt Holt, 2013. "El Niño southern oscillation and its effects on world vegetable oil prices: assessing asymmetries using smooth transition models," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 273-297, April.
    7. Lean, Hooi Hooi & Smyth, Russell, 2009. "Long memory in US disaggregated petroleum consumption: Evidence from univariate and multivariate LM tests for fractional integration," Energy Policy, Elsevier, vol. 37(8), pages 3205-3211, August.
    8. Wenger, Kai & Leschinski, Christian & Sibbertsen, Philipp, 2017. "A Simple Test on Structural Change in Long-Memory Time Series," Hannover Economic Papers (HEP) dp-592, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    9. Gilles Dufrenot & Dominique Guegan & Anne Peguin-Feissolle, 2008. "Changing-regime volatility: A fractionally integrated SETAR model," Post-Print halshs-00185369, HAL.
    10. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    11. Imene Mootamri & Mohamed Boutahar & Anne Peguin-Feissolle, 2008. "A fractionally integrated exponential STAR model applied to the US real effective exchange rate," Post-Print halshs-00390134, HAL.
    12. Martin Martens & Dick van Dijk & Michiel de Pooter, 2004. "Modeling and Forecasting S&P 500 Volatility: Long Memory, Structural Breaks and Nonlinearity," Tinbergen Institute Discussion Papers 04-067/4, Tinbergen Institute.
    13. Gilles Dufrenot & Elisabeth Grimaud & Eugénie Latil & Valerie Mignon, 2008. "Modelling The Slow Mean‐Reversion Of The Central And Eastern European Countries' Real Exchange Rates," Manchester School, University of Manchester, vol. 76(1), pages 21-43, January.
    14. Bhardwaj, Geetesh & Swanson, Norman R., 2006. "An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 539-578.
    15. Vijverberg, Chu-Ping C., 2009. "A time deformation model and its time-varying autocorrelation: An application to US unemployment data," International Journal of Forecasting, Elsevier, vol. 25(1), pages 128-145.
    16. Lena Vogel & Jan-Oliver Menz & Ulrich Fritsche, 2009. "Prospect Theory and Inflation Perceptions - An Empirical Assessment," Macroeconomics and Finance Series 200903, University of Hamburg, Department of Socioeconomics.
    17. Olmedo, Elena, 2011. "Is there chaos in the Spanish labour market?," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1045-1053.
    18. Scharth, Marcel & Medeiros, Marcelo C., 2009. "Asymmetric effects and long memory in the volatility of Dow Jones stocks," International Journal of Forecasting, Elsevier, vol. 25(2), pages 304-327.
    19. Thomaidis, Nikolaos S. & Biskas, Pandelis N., 2021. "Fundamental pricing laws and long memory effects in the day-ahead power market," Energy Economics, Elsevier, vol. 100(C).
    20. Kurt Graden Lunsford, 2023. "Business Cycles and Low-Frequency Fluctuations in the US Unemployment Rate," Working Papers 23-19, Federal Reserve Bank of Cleveland.
    21. Baillie, Richard T. & Kapetanios, George & Papailias, Fotis, 2014. "Bandwidth selection by cross-validation for forecasting long memory financial time series," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 129-143.
    22. Khraief, Naceur & Shahbaz, Muhammad & Heshmati, Almas & Azam, Muhammad, 2020. "Are unemployment rates in OECD countries stationary? Evidence from univariate and panel unit root tests," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    23. James D. Hamilton, 2005. "What's real about the business cycle?," Review, Federal Reserve Bank of St. Louis, vol. 87(Jul), pages 435-452.
    24. Dufrenot, Gilles & Guegan, Dominique & Peguin-Feissolle, Anne, 2005. "Long-memory dynamics in a SETAR model - applications to stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(5), pages 391-406, December.
    25. Gilles Dufrénot & Dominique Guegan & Anne Peguin-Feissolle, 2005. "Modelling squared returns using a SETAR model with long-memory dynamics," Post-Print halshs-00179285, HAL.
    26. Elena Olmedo, 2014. "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 183-197, February.
    27. Christian Peretti, 2007. "Long Memory and Hysteresis," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 363-389, Springer.
    28. Hyung, N. & Franses, Ph.H.B.F., 2002. "Inflation rates; long-memoray, level shifts, or both?," Econometric Institute Research Papers EI 2002-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Panagiotidis, Theodore & Pelloni, Gianluigi, 2007. "Nonlinearity In The Canadian And U.S. Labor Markets: Univariate And Multivariate Evidence From A Battery Of Tests," Macroeconomic Dynamics, Cambridge University Press, vol. 11(5), pages 613-637, November.
    30. Mohamed El Hedi Arouri & Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen, 2013. "Long memory and structural breaks in modeling the return and volatility dynamics of precious metals," Working Papers hal-00798033, HAL.
    31. Lahiani, A. & Scaillet, O., 2009. "Testing for threshold effect in ARFIMA models: Application to US unemployment rate data," International Journal of Forecasting, Elsevier, vol. 25(2), pages 418-428.
    32. Asano, Takao & Yokoo, Masanori, 2019. "Chaotic dynamics of a piecewise linear model of credit cycles," Journal of Mathematical Economics, Elsevier, vol. 80(C), pages 9-21.
    33. Yaya, OlaOluwa Simon & Gil-Alana, Luis Alberiko & Carcel, Hector, 2015. "Testing fractional persistence and non-linearities in the natural gas market: An application of non-linear deterministic terms based on Chebyshev polynomials in time," Energy Economics, Elsevier, vol. 52(PA), pages 240-245.
    34. G. Dufrenot & E. Grimaud & E. Latil & V. Mignon, 2003. "Real exchange rate misalignment in Hungary: a fractionally integrated threshold model," THEMA Working Papers 2003-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    35. Gilles DUFRENOT & Elisabeth GRIMAUD & Eug=E9nie LATIL & Val=E9rie MIGNON, 2003. "Real exhange rate misalignment in Hungary: a fractionally integrated=20 threshold model," Econometrics 0309001, University Library of Munich, Germany.
    36. Eric Hillebrand & Marcelo C. Medeiros, 2012. "Nonlinearity, Breaks, and Long-Range Dependence in Time-Series Models," CREATES Research Papers 2012-30, Department of Economics and Business Economics, Aarhus University.
    37. Cheng, Ka Ming, 2022. "Doubts on natural rate of unemployment: Evidence and policy implications," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 230-239.
    38. Kuswanto, Heri & Sibbertsen, Philipp, 2009. "Testing for Long Memory Against ESTAR Nonlinearities," Hannover Economic Papers (HEP) dp-427, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    39. Smallwood Aaron D, 2005. "Joint Tests for Non-linearity and Long Memory: The Case of Purchasing Power Parity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(2), pages 1-30, June.
    40. Ivan D. Trofimov, 2024. "A Time Series Analysis of Corporate Profit Rates in Selected Developed Economies: Asymmetries, Non-linearity and Mean Reversion," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(2), pages 303-338, June.
    41. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    42. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2008. "Modelling the US, UK and Japanese unemployment rates: Fractional integration and structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 52(11), pages 4998-5013, July.
    43. Dipak Ghosh & Swarna (Bashu) Dutt, . "Nonstationarity and Nonlinearity in the US Unemployment Rate: A Re-examination," Journal for Economic Educators, Middle Tennessee State University, Business and Economic Research Center.
    44. Adnen Ben Nasr & Mehmet Balcilar & Ahdi N. Ajmi & Goodness C. Aye & Rangan Gupta & Reneé van Eyden, 2014. "Causality between Inflation and Inflation Uncertainty in South Africa: Evidence from a Markov-Switching Vector Autoregressive Model," Working Papers 201453, University of Pretoria, Department of Economics.
    45. Patrick J. Wilson & L.J. Perry, 2004. "Forecasting Australian Unemployment Rates using Spectral Analysis," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 7(4), pages 459-480, December.
    46. Philip Hans Franses & Namwon Hyung, 2005. "Forecasting time series with long memory and level shifts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(1), pages 1-16.
    47. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Furuoka, Fumitaka & Gil-Alana, Luis A., 2019. "A new unit root analysis for testing hysteresis in unemployment," MPRA Paper 96621, University Library of Munich, Germany.
    48. M Sensier & D R Osborn & N Öcal, 2002. "Asymmetric Interest Rate Effects for the UK Real Economy," Centre for Growth and Business Cycle Research Discussion Paper Series 10, Economics, The University of Manchester.
    49. Juan Laborda & Sonia Ruano & Ignacio Zamanillo, 2023. "Multi-Country and Multi-Horizon GDP Forecasting Using Temporal Fusion Transformers," Mathematics, MDPI, vol. 11(12), pages 1-26, June.
    50. Mehmet Balcilar & Zeynel Abidin Ozdemir, 2013. "Asymmetric and Time-Varying Causality between Inflation and Inflation Uncertainty in G-7 Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(1), pages 1-42, February.
    51. Richard T. Baillie & George Kapetanios, 2006. "Nonlinear Models with Strongly Dependent Processes and Applications to Forward Premia and Real Exchange Rates," Working Papers 570, Queen Mary University of London, School of Economics and Finance.
    52. Fumitaka Furuoka & Luis A. Gil-Alana & OlaOluwa S. Yaya & Elayaraja Aruchunan & Ahamuefula E. Ogbonna, 2024. "A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis," Empirical Economics, Springer, vol. 66(6), pages 2471-2499, June.
    53. David Ubilava, 2014. "El Niño Southern Oscillation and the fishmeal–soya bean meal price ratio: regime-dependent dynamics revisited," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(4), pages 583-604.
    54. Aaron D. Smallwood, 2016. "A Monte Carlo Investigation of Unit Root Tests and Long Memory in Detecting Mean Reversion in I(0) Regime Switching, Structural Break, and Nonlinear Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 986-1012, June.
    55. Cevik, Emrah Ismail & Dibooglu, Sel, 2013. "Persistence and non-linearity in US unemployment: A regime-switching approach," Economic Systems, Elsevier, vol. 37(1), pages 61-68.
    56. Baillie, Richard T. & Kapetanios, George, 2008. "Nonlinear models for strongly dependent processes with financial applications," Journal of Econometrics, Elsevier, vol. 147(1), pages 60-71, November.
    57. Ralf Becker & Denise Osborn, 2007. "Weighted smooth transition regressions," Economics Discussion Paper Series 0724, Economics, The University of Manchester.
    58. Eric Hillebrand & Marcelo Cunha Medeiros, 2010. "Asymmetries, breaks, and long-range dependence: An estimation framework for daily realized volatility," Textos para discussão 578, Department of Economics PUC-Rio (Brazil).
    59. Dalla, Violetta & Giraitis, Liudas & Robinson, Peter M., 2020. "Asymptotic theory for time series with changing mean and variance," Journal of Econometrics, Elsevier, vol. 219(2), pages 281-313.
    60. Moosa, Imad A. & Ma, Ming, 2018. "Linear and Nonlinear Attractors in Purchasing Power Parity," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 71(2), pages 149-172.
    61. Mohamed Boutahar & Imene Mootamri & Anne Peguin-Feissolle, 2007. "An exponential FISTAR model applied to the US real effective exchange rate," Working Papers halshs-00353836, HAL.
    62. Gross, Marco & Binder, Michael, 2013. "Regime-switching global vector autoregressive models," Working Paper Series 1569, European Central Bank.

  35. Richard Paap & Philip Hans Franses, 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, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.

    Cited by:

    1. Baohong Sun, 2005. "Promotion Effect on Endogenous Consumption," Marketing Science, INFORMS, vol. 24(3), pages 430-443, July.
    2. Alan L. Montgomery & Shibo Li & Kannan Srinivasan & John C. Liechty, 2004. "Modeling Online Browsing and Path Analysis Using Clickstream Data," Marketing Science, INFORMS, vol. 23(4), pages 579-595, November.
    3. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2020. "Inference on Semiparametric Multinomial Response Models," Discussion Papers Series 627, School of Economics, University of Queensland, Australia.
    4. Can, Vo Van, 2013. "Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 149-159.
    5. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2002. "Modeling dynamic effects of promotion on interpurchase times," Econometric Institute Research Papers EI 2002-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Xiaokun Wang & Kara M. Kockelman, 2009. "Baysian Inference For Ordered Response Data With A Dynamic Spatial‐Ordered Probit Model," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 877-913, December.
    7. Zdenka MALÁ & Michal MALÝ, 2013. "The determinants of adopting organic farming practices: a case study in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(1), pages 19-28.
    8. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2003. "Modeling Dynamic Effects of the Marketing Mix on Market Shares," ERIM Report Series Research in Management ERS-2003-044-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Choudhury, Charisma F. & Yang, Lang & de Abreu e Silva, João & Ben-Akiva, Moshe, 2018. "Modelling preferences for smart modes and services: A case study in Lisbon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 15-31.
    10. Song, Lianlian & Shi, Yang & Tso, Geoffrey Kwok Fai & Lo, Hing Po, 2021. "Forecasting week-to-week television ratings using reduced-form and structural dynamic models," International Journal of Forecasting, Elsevier, vol. 37(1), pages 302-321.
    11. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2019. "Inference on Semiparametric Multinomial Response Models," Boston College Working Papers in Economics 980, Boston College Department of Economics.
    12. Richard T. Carson & Derrick H. Sun & Yixiao Sun, 2024. "Random Utility Models with Skewed Random Components: the Smallest versus Largest Extreme Value Distribution," Papers 2405.08222, arXiv.org, revised May 2024.
    13. Michael P. Keane, 2013. "Panel data discrete choice models of consumer demand," Economics Papers 2013-W08, Economics Group, Nuffield College, University of Oxford.
    14. van Heerde, H.J. & Helsen, K. & Dekimpe, M.G., 2005. "Managing Product-Harm Crises," ERIM Report Series Research in Management ERS-2005-044-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    15. Lilach Nachum & Srilata Zaheer & Shulamith Gross, 2008. "Does It Matter Where Countries Are? Proximity to Knowledge, Markets and Resources, and MNE Location Choices," Management Science, INFORMS, vol. 54(7), pages 1252-1265, July.
    16. Meng, Ting & Klepacka, Anna M. & Florkowski, Wojciech J. & Braman, Kristine, 2015. "What drives an environmental horticultural firm to start recycling plastics? Results of a Georgia survey," Resources, Conservation & Recycling, Elsevier, vol. 102(C), pages 1-8.
    17. Cloudio Kumbirai Chikeya & Lungile Ntsalaze, 2025. "Determinants of Household Debt: A Systematic Review of the Literature," Economies, MDPI, vol. 13(3), pages 1-36, March.
    18. John C. Liechty & Duncan K. H. Fong & Wayne S. DeSarbo, 2005. "Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(2), pages 285-293, November.
    19. Fok, D. & Franses, Ph.H.B.F. & Paap, R., 2001. "Econometric Analysis of the Market Share Attraction Model," ERIM Report Series Research in Management ERS-2001-25-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. KIYGI CALLI, Meltem & WEVERBERGH, Marcel & FRANSES, Philip Hans, 2008. "Modeling the effectiveness of hourly direct-response radio commercials," Working Papers 2008005, University of Antwerp, Faculty of Business and Economics.
    21. Fok, D. & Horváth, C. & Paap, R. & Franses, Ph.H.B.F., 2004. "A hierarchical Bayes error correction model to explain dynamic effects," Econometric Institute Research Papers EI 2004-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    22. Martijn G. de Jong & Donald R. Lehmann & Oded Netzer, 2012. "State-Dependence Effects in Surveys," Marketing Science, INFORMS, vol. 31(5), pages 838-854, September.
    23. M. Tolga Akçura & Füsun F. Gönül & Elina Petrova, 2004. "Consumer Learning and Brand Valuation: An Application on Over-the-Counter Drugs," Marketing Science, INFORMS, vol. 23(1), pages 156-169, April.
    24. Korkmaz, E. & Fok, D. & Kuik, R., 2014. "The Need for Market Segmentation in Buy-Till-You-Defect Models," ERIM Report Series Research in Management ERS-2014-006-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    25. Harald Van Heerde & Kristiaan Helsen & Marnik G. Dekimpe, 2007. "The Impact of a Product-Harm Crisis on Marketing Effectiveness," Marketing Science, INFORMS, vol. 26(2), pages 230-245, 03-04.

  36. Philip Hans Franses & Richard Paap, 2000. "Modelling day-of-the-week seasonality in the S&P 500 index," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 483-488.

    Cited by:

    1. Ahmed Kamaly & Eskandar Tooma, 2009. "Calendar anomolies and stock market volatility in selected Arab stock exchanges," Applied Financial Economics, Taylor & Francis Journals, vol. 19(11), pages 881-892.
    2. Eduardo Rossi & Dean Fantazzini, 2012. "Long memory and Periodicity in Intraday Volatility," DEM Working Papers Series 015, University of Pavia, Department of Economics and Management.
    3. Paul Alagidede & Theodore Panagiotidis, 2009. "Calendar Anomalies in the Ghana Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(1), pages 1-23, April.
    4. M. Berument & Nukhet Dogan, 2012. "Stock market return and volatility: day-of-the-week effect," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(2), pages 282-302, April.
    5. Sabina Nowak & Joanna Olbrys, 2015. "Day-of-the-Week Effects in Liquidity on the Warsaw Stock Exchange," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 49-69.
    6. Erik Theissen, 2007. "An analysis of private investors' stock market return forecasts," Applied Financial Economics, Taylor & Francis Journals, vol. 17(1), pages 35-43.
    7. Christos S. Savva & Denise R. Osborn & Len Gill, 2006. "Periodic Dynamic Conditional Correlations between Stock Markets in Europe and the US," Centre for Growth and Business Cycle Research Discussion Paper Series 77, Economics, The University of Manchester.
    8. Francq, Christian & Roy, Roch & Saidi, Abdessamad, 2011. "Asymptotic properties of weighted least squares estimation in weak parma models," MPRA Paper 28721, University Library of Munich, Germany.
    9. Wessel Marquering & Johan Nisser & Toni Valla, 2006. "Disappearing anomalies: a dynamic analysis of the persistence of anomalies," Applied Financial Economics, Taylor & Francis Journals, vol. 16(4), pages 291-302.
    10. Ausloos, Marcel & Nedic, Olgica & Dekanski, Aleksandar & Mrowinski, Maciej J. & Fronczak, Piotr & Fronczak, Agata, 2017. "Day of the week effect in paper submission/acceptance/rejection to/in/by peer review journals. II. An ARCH econometric-like modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 462-474.
    11. Stanislav Anatolyev, 2009. "Nonparametric regression (in Russian)," Quantile, Quantile, issue 7, pages 37-52, September.
    12. Taylor, James W., 2006. "Density forecasting for the efficient balancing of the generation and consumption of electricity," International Journal of Forecasting, Elsevier, vol. 22(4), pages 707-724.
    13. Saïd Souam & Faycal Hamdi, 2018. "Mixture Periodic GARCH Models: Theory and Applications," Post-Print hal-01589209, HAL.
    14. Charles, Amélie, 2010. "The day-of-the-week effects on the volatility: The role of the asymmetry," European Journal of Operational Research, Elsevier, vol. 202(1), pages 143-152, April.
    15. Aknouche, Abdelhakim & Bentarzi, Mohamed, 2008. "On the existence of higher-order moments of periodic GARCH models," Statistics & Probability Letters, Elsevier, vol. 78(18), pages 3262-3268, December.
    16. Abdelouahab Bibi, 2021. "Asymptotic properties of QMLE for seasonal threshold GARCH model with periodic coefficients," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 477-514, June.
    17. Liu, Tianhao, 2021. "A study on day-of-week effect of submission: Based on the data of JSFST," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    18. Christian Huurman & Francesco Ravazzolo & Chen Zhou, 2007. "The Power of Weather: Some Empirical Evidence on Predicting Day-ahead Power Prices through Day-ahead Weather Forecasts," Tinbergen Institute Discussion Papers 07-036/4, Tinbergen Institute.
    19. Hugh Christensen & Simon Godsill & Richard E Turner, 2020. "Hidden Markov Models Applied To Intraday Momentum Trading With Side Information," Papers 2006.08307, arXiv.org.
    20. Am�lie Charles, 2010. "Does the day-of-the-week effect on volatility improve the volatility forecasts?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(3), pages 257-262, February.
    21. Roberto Joaquín Santillán Salgado & Alejandro Fonseca Ramírez & Luis Nelson Romero, 2019. "The "day-of-the-week" effects in the exchange rate of Latin American currencies," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 485-507, Agosto 20.
    22. Vicent AragO-Manzana & M Angeles Fernandezizquierdo, 2003. "Monthly seasonality of the returns and volatility of the IBEX-35 index and its futures contract," Applied Economics Letters, Taylor & Francis Journals, vol. 10(3), pages 129-133.
    23. Bibi, Abdelouahab & Ghezal, Ahmed, 2017. "Asymptotic properties of QMLE for periodic asymmetric strong and semi-strong GARCH models," MPRA Paper 81126, University Library of Munich, Germany.
    24. Ausloos, Marcel & Nedic, Olgica & Dekanski, Aleksandar, 2016. "Day of the week effect in paper submission/acceptance/rejection to/in/by peer review journals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 197-203.

  37. Richard Paap & Philip Hans Franses, 1999. "On trends and constants in periodic autoregressions," Econometric Reviews, Taylor & Francis Journals, vol. 18(3), pages 271-286.

    Cited by:

    1. Tomas del Barrio Castro & Denise R Osborn, 2005. "Cointegration for Periodically Integrated Processes," Economics Discussion Paper Series 0522, Economics, The University of Manchester.
    2. Franses, Ph.H.B.F. & Paap, R., 1999. "Forecasting with periodic autoregressive time series models," Econometric Institute Research Papers EI 9927-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. del Barrio Castro, Tomás, 2022. "Testing for the cointegration rank between Periodically Integrated processes," MPRA Paper 112730, University Library of Munich, Germany, revised 2022.
    4. Pami Dua & Lokendra Kumawat, 2005. "Modelling and Forecasting Seasonality in Indian Macroeconomic Time Series," Working papers 136, Centre for Development Economics, Delhi School of Economics.
    5. Lawrence J. Christiano & Richard M. Todd, 2000. "The Conventional Treatment of Seasonality in Business Cycle Analysis: Does it Create Distortions?," NBER Technical Working Papers 0266, National Bureau of Economic Research, Inc.
    6. Tomás del Barrio Castro & Gianluca Cubadda & Denise R. Osborn, 2022. "On cointegration for processes integrated at different frequencies," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 412-435, May.
    7. del Barrio Castro Tomás & Osborn Denise R, 2011. "Nonparametric Tests for Periodic Integration," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-35, February.
    8. Eugen Ursu & Pierre Duchesne, 2009. "Estimation and model adequacy checking for multivariate seasonal autoregressive time series models with periodically varying parameters," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(2), pages 183-212, May.
    9. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2001. "The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production," Econometric Institute Research Papers EI 2001-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Eiji Kurozumi, 2002. "Testing For Periodic Stationarity," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 243-270.

  38. Franses, Philip Hans & Paap, Richard, 1999. "Does Seasonality Influence the Dating of Business Cycle Turning Points?," Journal of Macroeconomics, Elsevier, vol. 21(1), pages 79-92, January.

    Cited by:

    1. Remzi Uctum, 2007. "Econométrie des modèles à changements de régimes: un essai de synthèse," Post-Print halshs-00174034, HAL.
    2. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521817707, December.
    3. Antonio Matas-Mir & Denise R. Osborn & Marco J. Lombardi, 2008. "The effect of seasonal adjustment on the properties of business cycle regimes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 257-278.
    4. Rossen, Anja, 2011. "On the predictive content of nonlinear transformations of lagged autoregression residuals and time series observations," HWWI Research Papers 113, Hamburg Institute of International Economics (HWWI).
    5. Franses, Ph.H.B.F. & de Bruin, P., 1999. "Seasonal adjustment and the business cycle in unemployment," Econometric Institute Research Papers EI 9923-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Ahdi Ajmi & Adnen Ben Nasr & Mohamed Boutahar, 2008. "Seasonal Nonlinear Long Memory Model for the US Inflation Rates," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 243-254, April.
    7. E. Andersson & D. Bock & M. Frisen, 2006. "Some statistical aspects of methods for detection of turning points in business cycles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(3), pages 257-278.
    8. A Matas-Mir & D R Osborn, 2003. "Seasonal Adjustment and the Detection of Business Cycle Phases," Centre for Growth and Business Cycle Research Discussion Paper Series 26, Economics, The University of Manchester.
    9. Ghassen El Montasser, 2015. "The Seasonal KPSS Test: Examining Possible Applications with Monthly Data and Additional Deterministic Terms," Econometrics, MDPI, vol. 3(2), pages 1-16, May.
    10. Yoshihiro Ohtsuka, 2018. "Large Shocks and the Business Cycle: The Effect of Outlier Adjustments," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 143-178, April.
    11. Dalibor Stevanovic & Stéphane Surprenant & Rachidi Kotchoni, 2019. "Identification des points de retournement du cycle économique au Canada," CIRANO Project Reports 2019rp-05, CIRANO.

  39. Franses, Philip Hans & Hoek, Henk & Paap, Richard, 1997. "Bayesian analysis of seasonal unit roots and seasonal mean shifts," Journal of Econometrics, Elsevier, vol. 78(2), pages 359-380, June.
    See citations under working paper version above.
  40. Paap, Richard & Franses, Philip Hans & Hoek, Henk, 1997. "Mean shifts, unit roots and forecasting seasonal time series," International Journal of Forecasting, Elsevier, vol. 13(3), pages 357-368, September.

    Cited by:

    1. David Hendry & Andrew B. Martinez, 2016. "Evaluating Multi-Step System Forecasts with Relatively Few Forecast-Error Observations," Economics Series Working Papers 784, University of Oxford, Department of Economics.
    2. Gustavsson, Patrik & Nordström, Jonas, 1999. "The Impact of Seasonal Unit Roots and Vector ARMA Modeling on Forecasting Monthly Tourism Flows," Working Paper Series 150, Trade Union Institute for Economic Research, revised 01 Jul 2000.
    3. Artur C. B. da Silva Lopes & Antonio Montañés, 2004. "The Behavior of HEGY Tests for Quarterly Time Series with Seasonal Mean Shifts," Econometrics 0411010, University Library of Munich, Germany.
    4. Norman Swanson & Richard Urbach, 2013. "Prediction and Simulation Using Simple Models Characterized by Nonstationarity and Seasonality," Departmental Working Papers 201323, Rutgers University, Department of Economics.
    5. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521817707, December.
    6. Dillon Alleyne, 2006. "Can Seasonal Unit Root Testing Improve the Forecasting Accuracy of Tourist Arrivals?," Tourism Economics, , vol. 12(1), pages 45-64, March.
    7. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    8. Franses, Philip Hans & Hoek, Henk & Paap, Richard, 1997. "Bayesian analysis of seasonal unit roots and seasonal mean shifts," Journal of Econometrics, Elsevier, vol. 78(2), pages 359-380, June.
    9. Clements, Michael P. & Hendry, David F., 1997. "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, Elsevier, vol. 13(3), pages 341-355, September.
    10. Lorde, Troy & Francis, Brian & Skeete, Stephney, 2008. "Are Shocks to Barbados Long-Stay Visitor Arrivals Permanent or Temporary: A Short Empirical Note," MPRA Paper 95597, University Library of Munich, Germany.
    11. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2001. "The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production," Econometric Institute Research Papers EI 2001-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Luciana Crosilla, 2006. "The seasonality of ISAE business and consumer surveys: methodological aspects and empirical evidence," ISAE Working Papers 68, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    13. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    14. Luetkepohl Helmut & Xu Fang, 2011. "Forecasting Annual Inflation with Seasonal Monthly Data: Using Levels versus Logs of the Underlying Price Index," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-23, February.
    15. Harvey, David I. & Leybourne, Stephen J. & Newbold, Paul, 2002. "Seasonal unit root tests with seasonal mean shifts," Economics Letters, Elsevier, vol. 76(2), pages 295-302, July.

  41. Franses, Philip Hans & Paap, Richard, 1995. "Seasonality and Stochastic Trends in German Consumption and Income, 1960.1-1987.4," Empirical Economics, Springer, vol. 20(1), pages 109-132.

    Cited by:

    1. Löf, M. & Franses, Ph.H.B.F., 2000. "On forecasting cointegrated seasonal time series," Econometric Institute Research Papers EI 2000-04/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Hansen, Hermann-Josef, 1996. "Der Einfluß der Zinsen auf den privaten Verbrauch in Deutschland," Discussion Paper Series 1: Economic Studies 1996,03, Deutsche Bundesbank.
    3. Hassler Uwe, 2001. "Wealth and Consumption. A Multicointegrated Model for the Unified Germany / Vermögen und Konsum. Ein multikointegriertes Modell für das vereinigte Deutschland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 221(1), pages 32-44, February.

  42. Franses, Philip Hans & Paap, Richard, 1995. "Moving average filters and periodic integration," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 245-249.

    Cited by:

    1. Lee G. Cooper & Penny Baron & Wayne Levy & Michael Swisher & Paris Gogos, 1999. "PromoCast™: A New Forecasting Method for Promotion Planning," Marketing Science, INFORMS, vol. 18(3), pages 301-316.

  43. Franses, Philip Hans & Paap, Richard, 1994. "Model Selection in Periodic Autoregressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(4), pages 421-439, November.

    Cited by:

    1. Franses, Ph.H.B.F. & Paap, R., 1999. "Forecasting with periodic autoregressive time series models," Econometric Institute Research Papers EI 9927-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Pami Dua & Lokendra Kumawat, 2005. "Modelling and Forecasting Seasonality in Indian Macroeconomic Time Series," Working papers 136, Centre for Development Economics, Delhi School of Economics.
    3. Albertson, Kevin & Aylen, Jonathan, 1996. "Modelling the Great Lakes freeze: forecasting and seasonality in the market for ferrous scrap," International Journal of Forecasting, Elsevier, vol. 12(3), pages 345-359, September.
    4. Clements, M.P. & Smith, J., 1997. "Forecasting Seasonal UK Consumption Components," The Warwick Economics Research Paper Series (TWERPS) 487, University of Warwick, Department of Economics.
    5. Herwartz, Helmut, 1997. "Performance of periodic error correction models in forecasting consumption data," International Journal of Forecasting, Elsevier, vol. 13(3), pages 421-431, September.
    6. Lawrence J. Christiano & Richard M. Todd, 2000. "The Conventional Treatment of Seasonality in Business Cycle Analysis: Does it Create Distortions?," NBER Technical Working Papers 0266, National Bureau of Economic Research, Inc.
    7. Tomas del Barrio Castro & Mariam Camarero & Cecilio Tamarit, 2013. "An analysis of the trade balance for OECD countries using periodic integration and cointegration," Working Papers 1320, Department of Applied Economics II, Universidad de Valencia.
    8. Franses, Philip Hans & Ooms, Marius, 1997. "A periodic long-memory model for quarterly UK inflation," International Journal of Forecasting, Elsevier, vol. 13(1), pages 117-126, March.
    9. Philip Hans Franses & Richard Paap, 2011. "Random‐coefficient periodic autoregressions," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(1), pages 101-115, February.
    10. Boswijk, H. Peter & Franses, Philip Hans & Haldrup, Niels, 1997. "Multiple unit roots in periodic autoregression," Journal of Econometrics, Elsevier, vol. 80(1), pages 167-193, September.
    11. Fantazzini, Dean & Toktamysova, Zhamal, 2015. "Forecasting German Car Sales Using Google Data and Multivariate Models," MPRA Paper 67110, University Library of Munich, Germany.
    12. Breitung, Jorg & Franses, Philip Hans, 1997. "Impulse response functions for periodic integration," Economics Letters, Elsevier, vol. 55(1), pages 35-40, August.
    13. Evans, Mark, 2006. "A study of the relationship between regional ferrous scrap prices in the USA, 1958-2004," Resources Policy, Elsevier, vol. 31(2), pages 65-77, June.
    14. T. Manouchehri & A. R. Nematollahi, 2019. "Periodic autoregressive models with closed skew-normal innovations," Computational Statistics, Springer, vol. 34(3), pages 1183-1213, September.
    15. Sarnaglia, A.J.Q. & Reisen, V.A. & Lévy-Leduc, C., 2010. "Robust estimation of periodic autoregressive processes in the presence of additive outliers," Journal of Multivariate Analysis, Elsevier, vol. 101(9), pages 2168-2183, October.
    16. Novales, Alfonso & de Fruto, Rafael Flores, 1997. "Forecasting with periodic models A comparison with time invariant coefficient models," International Journal of Forecasting, Elsevier, vol. 13(3), pages 393-405, September.
    17. Eiji Kurozumi, 2002. "Testing For Periodic Stationarity," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 243-270.
    18. Wells, J. M., 1997. "Modelling seasonal patterns and long-run trends in U.S. time series," International Journal of Forecasting, Elsevier, vol. 13(3), pages 407-420, September.
    19. Albertson, Kevin & Aylen, Jonathan, 2003. "Forecasting the behaviour of manufacturing inventory," International Journal of Forecasting, Elsevier, vol. 19(2), pages 299-311.
    20. Franses, Philip Hans & Paap, Richard, 1995. "Moving average filters and periodic integration," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 245-249.
    21. Franses, Philip Hans & McAleer, Michael, 1997. "Testing periodically integrated autoregressive models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 457-465.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Franses,Philip Hans & Paap,Richard, 2010. "Quantitative Models in Marketing Research," Cambridge Books, Cambridge University Press, number 9780521143653, December.

    Cited by:

    1. Heij, C. & Franses, Ph.H.B.F., 2010. "Correcting for Survey Effects in Pre-election Polls," Econometric Institute Research Papers EI 2010-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Segers, Rene & Franses, Philip Hans & de Bruijn, Bert, 2017. "A novel approach to measuring consumer confidence," Econometrics and Statistics, Elsevier, vol. 4(C), pages 121-129.
    3. Risselada, Hans & Verhoef, Peter C. & Bijmolt, Tammo H.A., 2010. "Staying Power of Churn Prediction Models," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 198-208.
    4. Zewei Lin & Dungang Liu, 2022. "Model diagnostics of discrete data regression: a unifying framework using functional residuals," Papers 2207.04299, arXiv.org.
    5. Makoto Abe, 2006. ""Counting Your Customers" One by One: An Individual Level RF Analysis Based on Consumer Behavior Theory," CIRJE F-Series CIRJE-F-408, CIRJE, Faculty of Economics, University of Tokyo.
    6. Richard Paap, 2002. "What are the advantages of MCMC based inference in latent variable models?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(1), pages 2-22, February.
    7. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
    8. David A. Schweidel & George Knox, 2013. "Incorporating Direct Marketing Activity into Latent Attrition Models," Marketing Science, INFORMS, vol. 32(3), pages 471-487, May.
    9. Liu, Dungang & Li, Shaobo & Yu, Yan & Moustaki, Irini, 2020. "Assessing partial association between ordinal variables: quantification, visualization, and hypothesis testing," LSE Research Online Documents on Economics 105558, London School of Economics and Political Science, LSE Library.
    10. Björn Bünger, 2010. "The demand for relational goods: empirical evidence from the European Social Survey," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 57(2), pages 177-198, June.
    11. Robert Kapłon, 2006. "A retrospective review of categorical data analysis – theory and marketing practice," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(1), pages 55-72.
    12. Zhao, Li & Tian, Peng & Xiangyong Li, 2012. "Dynamic pricing in the presence of consumer inertia," Omega, Elsevier, vol. 40(2), pages 137-148, April.
    13. Philip Hans Franses & Richard Paap, 2025. "Testing for Bias in Forecasts for Independent Multinomial Outcomes," Forecasting, MDPI, vol. 7(1), pages 1-8, January.
    14. Bas Donkers & Peter Verhoef & Martijn Jong, 2007. "Modeling CLV: A test of competing models in the insurance industry," Quantitative Marketing and Economics (QME), Springer, vol. 5(2), pages 163-190, June.
    15. Defrancesco, Edi, 2002. "The Beginning Of Organic Fish Farming In Italy," Working Papers 14367, University of Minnesota, Center for International Food and Agricultural Policy.
    16. Peter C. Verhoef & Martin Heijnsbroek & Joost Bosma, 2017. "Developing A Service Improvement System for the National Dutch Railways," Interfaces, INFORMS, vol. 47(6), pages 489-504, December.
    17. de Jong, M.G., 2006. "Response bias in international marketing research," Other publications TiSEM 5d4031be-97b5-4db3-962b-2, Tilburg University, School of Economics and Management.
    18. Segers, R. & Franses, Ph.H.B.F., 2008. "Measuring weekly consumer confidence," Econometric Institute Research Papers EI 2008-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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    22. van Wezel, Michiel & Potharst, Rob, 2007. "Improved customer choice predictions using ensemble methods," European Journal of Operational Research, Elsevier, vol. 181(1), pages 436-452, August.
    23. Prinz, Aloys & Bünger, Björn, 2009. "The decline of relational goods in the production of well-being?," CAWM Discussion Papers 21, University of Münster, Münster Center for Economic Policy (MEP).
    24. Edwin Van Gameren & Michiel Ras & Evelien Eggink & Ingrid Ooms, 2005. "The demand for housing services in the Netherlands," ERSA conference papers ersa05p327, European Regional Science Association.
    25. Mohamed Abdallah Ali & Mazhar Mughal & Charles Kodjo Mawusi, 2021. "Does Khat Consumption Affect Work Performance ? A Micro-Perspective from Djibouti," Working Papers hal-03375659, HAL.
    26. Vicari, Donatella & Alfó, Marco, 2014. "Model based clustering of customer choice data," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 3-13.
    27. Sibdari, Soheil & Pyke, David F., 2010. "A competitive dynamic pricing model when demand is interdependent over time," European Journal of Operational Research, Elsevier, vol. 207(1), pages 330-338, November.
    28. Fok, D. & Paap, R., 2003. "Modeling category-level purchase timing with brand-level marketing variables," Econometric Institute Research Papers 1715, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Adel Ben Youssef & Mounir Dahmani & Nessrine Omrani, 2013. "Information technologies, students'e-skills and diversity of learning process," Post-Print halshs-00937145, HAL.
    30. Romina Gambacorta & Maria Iannario, 2012. "Statistical models for measuring job satisfaction," Temi di discussione (Economic working papers) 852, Bank of Italy, Economic Research and International Relations Area.
    31. Abhijit Sengupta & Stephen E. Glavin, 2010. "Volatility In The Consumer Packaged Goods Industry — A Simulation Based Study," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 579-605.
    32. Ginés Guirao Pérez & Victor Javier Cano Fernández & Marta Isabel López Yurda & María Carolina Rodríguez Donate & Margarita Esther Romero Rodríguez, 2004. "Relación entre la frecuencia de consumo de vino y algunas características socioeconómicas de los individuos," Documentos de trabajo conjunto ULL-ULPGC 2004-01, Facultad de Ciencias Económicas de la ULPGC.
    33. Maruyama, Masayoshi & Flath, David & Minamikawa, Kazumitsu & Ohkita, Kenichi & Zennyo, Yusuke, 2015. "Platform selection by software developers: Theory and evidence," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 282-303.
    34. Chan, Moon-tong & Yu, Dalei & Yau, Kelvin K.W., 2015. "Multilevel cumulative logistic regression model with random effects: Application to British social attitudes panel survey data," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 173-186.
    35. Yabing Jiang & Hong Guo, 2015. "Design of Consumer Review Systems and Product Pricing," Information Systems Research, INFORMS, vol. 26(4), pages 714-730, December.
    36. Franses, Ph.H.B.F., 2004. "Forecasting in marketing," Econometric Institute Research Papers EI 2004-40, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    37. Kremer, Sara T.M. & Bijmolt, Tammo H.A. & Leeflang, Peter S.H. & Wieringa, Jaap E., 2008. "Generalizations on the effectiveness of pharmaceutical promotional expenditures," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 234-246.
    38. Dekimpe, M.G. & Hanssens, D.M. & Nijs, V.R. & Steenkamp, J-B.E.M., 2003. "Measuring Short- and Long-run Promotional Effectiveness on Scanner Data Using Persistence Modeling," ERIM Report Series Research in Management ERS-2003-087-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    39. Franses, Ph.H.B.F. & Patoir, D.A., 2002. "Modeling students' evealuation scores; comparing economics schools in Maastricht and Rotterdam," Econometric Institute Research Papers EI 2002-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    40. Leenheer, Jorna & Bijmolt, Tammo H.A., 2008. "Which retailers adopt a loyalty program? An empirical study," Journal of Retailing and Consumer Services, Elsevier, vol. 15(6), pages 429-442.
    41. van Wezel, M.C. & Potharst, R., 2005. "Improved customer choice predictions using ensemble methods," Econometric Institute Research Papers EI 2005-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    42. van Nierop, J.E.M. & Leeflang, P.S.H. & Teerling, M.L. & Huizingh, K.R.E., 2011. "The impact of the introduction and use of an informational website on offline customer buying behavior," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 155-165.
    43. Ben Youssef, Adel & Dahmani, Mounir & Omrani, Nessrine, 2012. "Students' e-skills, organizational change and diversity of learning processs: Evidence from French universities in 2010," ZEW Discussion Papers 12-031, ZEW - Leibniz Centre for European Economic Research.
    44. van Lin, Arjen & Gijsbrechts, Els, 2016. "The battle for health and beauty: What drives supermarket and drugstore category-promotion lifts?," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 557-577.
    45. Vroomen, B.L.K. & Donkers, A.C.D. & Verhoef, P.C. & Franses, Ph.H.B.F., 2003. "Purchasing complex services on the Internet; An analysis of mortgage loan acquisitions," ERIM Report Series Research in Management ERS-2003-075-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    46. Eoghan O'Neill, 2022. "Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression," Papers 2211.07506, arXiv.org, revised Feb 2024.
    47. Lin, Kyle Y. & Sibdari, Soheil Y., 2009. "Dynamic price competition with discrete customer choices," European Journal of Operational Research, Elsevier, vol. 197(3), pages 969-980, September.
    48. Els Breugelmans & Yuping Liu-Thompkins, 2017. "The effect of loyalty program expiration policy on consumer behavior," Marketing Letters, Springer, vol. 28(4), pages 537-550, December.
    49. Potharst, R. & van Rijthoven, M. & van Wezel, M.C., 2005. "Modeling brand choice using boosted and stacked neural networks," Econometric Institute Research Papers EI 2005-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    50. Perez, G. Guirao & Fernandez, V. Cano & Yurda, M.I. Lopez & Donate, M.C. Rodriguez, 2002. "Socioeconomic Factors and the Consumption of Wine in Tenerife," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24798, European Association of Agricultural Economists.
    51. Qian, Lixian & Soopramanien, Didier & Daryanto, Ahmad, 2017. "First-time buyers' subjective knowledge and the attribute preferences of Chinese car buyers," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 189-196.
    52. Lemmens, A. & Croux, C., 2006. "Bagging and boosting classification trees to predict churn," Other publications TiSEM d5cb664d-5859-44db-a621-e, Tilburg University, School of Economics and Management.
    53. Clarijs, P. & Hogeling, B. & Franses, Ph.H.B.F. & Heij, C., 2007. "Evaluation of survey effects in pre-election polls," Econometric Institute Research Papers EI 2007-50, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    54. Christoph Fuchs & Martijn G. de Jong & Martin Schreier, 2020. "Earmarking Donations to Charity: Cross-cultural Evidence on Its Appeal to Donors Across 25 Countries," Management Science, INFORMS, vol. 66(10), pages 4820-4842, October.
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  2. Franses, Philip Hans & Paap, Richard, 2004. "Periodic Time Series Models," OUP Catalogue, Oxford University Press, number 9780199242030, Decembrie.

    Cited by:

    1. Frédérick Demers & Annie De Champlain, 2005. "Forecasting Core Inflation in Canada: Should We Forecast the Aggregate or the Components?," Staff Working Papers 05-44, Bank of Canada.
    2. Eduardo Rossi & Dean Fantazzini, 2012. "Long memory and Periodicity in Intraday Volatility," DEM Working Papers Series 015, University of Pavia, Department of Economics and Management.
    3. Fantazzini, Dean, 2020. "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 33-54.
    4. Franses, Philip Hans, 2013. "Data revisions and periodic properties of macroeconomic data," Economics Letters, Elsevier, vol. 120(2), pages 139-141.
    5. Aknouche, Abdelhakim & Guerbyenne, Hafida, 2009. "Periodic stationarity of random coefficient periodic autoregressions," Statistics & Probability Letters, Elsevier, vol. 79(7), pages 990-996, April.
    6. Tomas del Barrio Castro & Mariam Camarero & Cecilio Tamarit, 2013. "The trade balance in euro countries: a natural case study of periodic integration with a changing mean," Working Papers 1321, Department of Applied Economics II, Universidad de Valencia.
    7. del Barrio Castro, Tomás, 2022. "Testing for the cointegration rank between Periodically Integrated processes," MPRA Paper 112730, University Library of Munich, Germany, revised 2022.
    8. Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2017. "Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers," ETA: Economic Theory and Applications 253725, Fondazione Eni Enrico Mattei (FEEM).
    9. Boshnakov, Georgi N. & Lambert-Lacroix, Sophie, 2012. "A periodic Levinson-Durbin algorithm for entropy maximization," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 15-24, January.
    10. So, Mike K.P. & Chung, Ray S.W., 2014. "Dynamic seasonality in time series," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 212-226.
    11. Siem Jan Koopman & Marius Ooms, 2004. "Forecasting Daily Time Series using Periodic Unobserved Components Time Series Models," Tinbergen Institute Discussion Papers 04-135/4, Tinbergen Institute.
    12. Aknouche, Abdelhakim & Guerbyenne, Hafida, 2009. "On some probabilistic properties of double periodic AR models," Statistics & Probability Letters, Elsevier, vol. 79(3), pages 407-413, February.
    13. Jiajie Kong & Robert Lund, 2023. "Seasonal count time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 93-124, January.
    14. Tomas del Barrio Castro & Mariam Camarero & Cecilio Tamarit, 2013. "An analysis of the trade balance for OECD countries using periodic integration and cointegration," Working Papers 1320, Department of Applied Economics II, Universidad de Valencia.
    15. Abdelhakim Aknouche & Bader Almohaimeed & Stefanos Dimitrakopoulos, 2022. "Periodic autoregressive conditional duration," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 5-29, January.
    16. Niels Haldrup & Svend Hylleberg & Gabriel Pons & Jaume Rosselló & Andreu Sansó, 2005. "Common Periodic Correlation Features and the Interaction of Stocks and Flows in Daily Airport Data," Economics Working Papers 2005-03, Department of Economics and Business Economics, Aarhus University.
    17. PEREAU Jean-Christophe & URSU Eugen, 2015. "Application of periodic autoregressive process to the modeling of the Garonne river flows," Cahiers du GREThA (2007-2019) 2015-14, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    18. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521817707, December.
    19. Philip Hans Franses & Richard Paap, 2011. "Random‐coefficient periodic autoregressions," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(1), pages 101-115, February.
    20. Taylor, James W., 2006. "Density forecasting for the efficient balancing of the generation and consumption of electricity," International Journal of Forecasting, Elsevier, vol. 22(4), pages 707-724.
    21. Ursu, Eugen & Duchesne, Pierre, 2009. "On multiplicative seasonal modelling for vector time series," Statistics & Probability Letters, Elsevier, vol. 79(19), pages 2045-2052, October.
    22. Pawel Maryniak & Rafal Weron, 2014. "Forecasting the occurrence of electricity price spikes in the UK power market," HSC Research Reports HSC/14/11, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    23. Jin Zou & Dong Han, 2021. "Yule–Walker Equations Using a Gini Covariance Matrix for the High-Dimensional Heavy-Tailed PVAR Model," Mathematics, MDPI, vol. 9(6), pages 1-15, March.
    24. Nicholas J. Cox, 2009. "Stata tip 76: Separating seasonal time series," Stata Journal, StataCorp LLC, vol. 9(2), pages 321-326, June.
    25. Fantazzini, Dean & Toktamysova, Zhamal, 2015. "Forecasting German Car Sales Using Google Data and Multivariate Models," MPRA Paper 67110, University Library of Munich, Germany.
    26. Pierre Duchesne & Pierre Lafaye de Micheaux, 2013. "Distributions for residual autocovariances in parsimonious periodic vector autoregressive models with applications," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 496-507, July.
    27. Marius Ötting & Roland Langrock & Christian Deutscher & Vianey Leos‐Barajas, 2020. "The hot hand in professional darts," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 565-580, February.
    28. Baek, Changryong & Davis, Richard A. & Pipiras, Vladas, 2017. "Sparse seasonal and periodic vector autoregressive modeling," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 103-126.
    29. Panagiotelis, Anastasios & Smith, Michael, 2010. "Bayesian skew selection for multivariate models," Computational Statistics & Data Analysis, Elsevier, vol. 54(7), pages 1824-1839, July.
    30. Daniel Dzikowski & Carsten Jentsch, 2024. "Structural Periodic Vector Autoregressions," Papers 2401.14545, arXiv.org.
    31. Dillon Alleyne, 2006. "Can Seasonal Unit Root Testing Improve the Forecasting Accuracy of Tourist Arrivals?," Tourism Economics, , vol. 12(1), pages 45-64, March.
    32. Geoffrey Coke & Min Tsao, 2010. "Random effects mixture models for clustering electrical load series," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(6), pages 451-464, November.
    33. Tomás del Barrio Castro & Gianluca Cubadda & Denise R. Osborn, 2022. "On cointegration for processes integrated at different frequencies," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 412-435, May.
    34. Tashpulatov, Sherzod N., 2013. "Estimating the volatility of electricity prices: The case of the England and Wales wholesale electricity market," Energy Policy, Elsevier, vol. 60(C), pages 81-90.
    35. Georgi N. Boshnakov & Bisher M. Iqelan, 2009. "Generation Of Time Series Models With Given Spectral Properties," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(3), pages 349-368, May.
    36. Lenart, Łukasz, 2013. "Non-parametric frequency identification and estimation in mean function for almost periodically correlated time series," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 252-269.
    37. Aknouche, Abdelhakim & Rabehi, Nadia, 2024. "Inspecting a seasonal ARIMA model with a random period," MPRA Paper 120758, University Library of Munich, Germany.
    38. A.S.M. Arroyo & A. de Juan Fern¨¢ndez, 2014. "Split-then-Combine Method for out-of-sample Combinations of Forecasts," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 3(1), pages 19-37, April.
    39. Franses, Ph.H.B.F., 2006. "Forecasting 1 to h steps ahead using partial least squares," Econometric Institute Research Papers EI 2006-47, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    40. Fantazziini, Dean, 2014. "Nowcasting and Forecasting the Monthly Food Stamps Data in the US using Online Search Data," MPRA Paper 59696, University Library of Munich, Germany.
    41. Łukasz Lenart, 2017. "Examination of Seasonal Volatility in HICP for Baltic Region Countries: Non-Parametric Test versus Forecasting Experiment," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 29-67, March.
    42. Niels Haldrup & Antonio Montañés & Andreu Sansó, 2005. "Testing for Additive Outliers in Seasonally Integrated Time Series," DEA Working Papers 15, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    43. T. Manouchehri & A. R. Nematollahi, 2019. "Periodic autoregressive models with closed skew-normal innovations," Computational Statistics, Springer, vol. 34(3), pages 1183-1213, September.
    44. del Barrio Castro Tomás & Osborn Denise R, 2011. "Nonparametric Tests for Periodic Integration," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-35, February.
    45. Eugen Ursu & Pierre Duchesne, 2009. "Estimation and model adequacy checking for multivariate seasonal autoregressive time series models with periodically varying parameters," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(2), pages 183-212, May.
    46. Siem Jan Koopman & Marius Ooms & Irma Hindrayanto, 2009. "Periodic Unobserved Cycles in Seasonal Time Series with an Application to US Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 683-713, October.
    47. Tomás Barrio & Mariam Camarero & Cecilio Tamarit, 2019. "Testing for Periodic Integration with a Changing Mean," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 45-75, June.
    48. Philip Hans Franses & Rianne Legerstee, 2010. "A Unifying View On Multi‐Step Forecasting Using An Autoregression," Journal of Economic Surveys, Wiley Blackwell, vol. 24(3), pages 389-401, July.
    49. Aknouche, Abdelhakim, 2024. "Periodically homogeneous Markov chains: The discrete state space case," MPRA Paper 122287, University Library of Munich, Germany.
    50. Zou, Nan & Politis, Dimitris N., 2021. "Bootstrap seasonal unit root test under periodic variation," Econometrics and Statistics, Elsevier, vol. 19(C), pages 1-21.
    51. Gallo, Andres & Mason, Paul & Shapiro, Steve & Fabritius, Michael, 2010. "What is behind the increase in oil prices? Analyzing oil consumption and supply relationship with oil price," Energy, Elsevier, vol. 35(10), pages 4126-4141.
    52. Misiorek Adam & Trueck Stefan & Weron Rafal, 2006. "Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(3), pages 1-36, September.
    53. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
    54. Mestekemper, Thomas & Kauermann, Göran & Smith, Michael S., 2013. "A comparison of periodic autoregressive and dynamic factor models in intraday energy demand forecasting," International Journal of Forecasting, Elsevier, vol. 29(1), pages 1-12.
    55. Abdelhakim Aknouche & Eid Al-Eid, 2012. "Asymptotic inference of unstable periodic ARCH processes," Statistical Inference for Stochastic Processes, Springer, vol. 15(1), pages 61-79, April.
    56. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2001. "The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production," Econometric Institute Research Papers EI 2001-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    57. Franses, Ph.H.B.F., 2019. "Professional Forecasters and January," Econometric Institute Research Papers EI2019-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    58. Dennis Fok & Philip Hans Franses, 2013. "Testing earnings management," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(3), pages 281-292, August.
    59. Fok, D. & Franses, Ph.H.B.F. & Paap, R., 2005. "Performance of Seasonal Adjustment Procedures: Simulation and Empirical Results," Econometric Institute Research Papers EI 2005-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    60. Eugen Ursu & Pierre Duchesne, 2009. "On modelling and diagnostic checking of vector periodic autoregressive time series models," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(1), pages 70-96, January.
    61. Tucker McElroy & Anindya Roy, 2022. "A Review of Seasonal Adjustment Diagnostics," International Statistical Review, International Statistical Institute, vol. 90(2), pages 259-284, August.
    62. Fadiga, Mohamadou L. & Misra, Sukant K., 2005. "Asymmetry, Risk, and Correlation Dynamics in the U.S. Fiber Market," 2005 Annual meeting, July 24-27, Providence, RI 19459, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    63. Amaal Elsayed Mubarak & Ehab Mohamed Almetwally, 2024. "Modelling and Forecasting of Covid-19 Using Periodical ARIMA Models," Annals of Data Science, Springer, vol. 11(4), pages 1483-1502, August.
    64. Hindrayanto, Irma & Koopman, Siem Jan & Ooms, Marius, 2010. "Exact maximum likelihood estimation for non-stationary periodic time series models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2641-2654, November.
    65. Abdelhakim Aknouche & Abdelouahab Bibi, 2009. "Quasi‐maximum likelihood estimation of periodic GARCH and periodic ARMA‐GARCH processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(1), pages 19-46, January.
    66. Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number hsbook0601, December.
    67. Dimitrios Thomakos & Hossein Hassani & Kerry Patterson, 2013. "Optimal Linear Filtering, Smoothing and Trend Extraction for the m-th Differences of a Unit Root Process: A Singular Spectrum Analysis Approach," Economics Discussion Papers em-dp2013-04, Department of Economics, University of Reading.
    68. Lucélia Vaz & Rodrigo Raad, 2021. "Functional data analysis for brazilian term structure of interest rate," Textos para Discussão Cedeplar-UFMG 638, Cedeplar, Universidade Federal de Minas Gerais.
    69. Q. Shao, 2008. "Robust Estimation For Periodic Autoregressive Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(2), pages 251-263, March.
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    76. Philip Hans Franses, 2020. "Correcting the January optimism effect," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 927-933, September.
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