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Achim Zeileis

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2018. "Probabilistic forecasts for the 2018 FIFA World Cup based on the bookmaker consensus model," Working Papers 2018-09, Faculty of Economics and Statistics, Universität Innsbruck.

    Mentioned in:

    1. Statistics: Brazil will play Germany in the FIFA World Cup final
      by ? in Brinkwire on 2018-06-01 08:16:59
    2. Sankey Diagram for the 2018 FIFA World Cup Forecast
      by Achim Zeileis in R-bloggers on 2018-06-10 22:00:00
    3. Ученые оценили вероятность успеха каждой из команд на чемпионате мира по футболу
      by ? in N+1: научные статьи, новости, открытия on 2018-05-30 17:10:34
    4. The Poisson distribution: From basic probability theory to regression models
      by Achim Zeileis in R-bloggers on 2022-06-22 22:00:00
  2. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2014. "Home Victory for Brazil in the 2014 FIFA World Cup," Working Papers 2014-17, Faculty of Economics and Statistics, Universität Innsbruck.

    Mentioned in:

    1. Home Victory for Brazil in the 2014 FIFA World Cup
      by ? in R-bloggers on 2014-05-26 16:58:00
    2. Predictive Bookmaker Consensus Model for the UEFA Euro 2016
      by ? in R-bloggers on 2016-05-31 19:43:00
  3. Achim Zeileis, 2005. "A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 445-466.

    Mentioned in:

    1. Let’s Party!
      by diffuseprior in DiffusePrioR on 2012-06-06 22:51:06
  4. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2012. "History Repeating: Spain Beats Germany in the EURO 2012 Final," Working Papers 2012-09, Faculty of Economics and Statistics, Universität Innsbruck.

    Mentioned in:

    1. Visualizing Euro 2012 with ggplot2
      by diffuseprior in DiffusePrioR on 2012-06-09 15:58:40
    2. Home Victory for Brazil in the 2014 FIFA World Cup
      by ? in R-bloggers on 2014-05-26 16:58:00
    3. Predictive Bookmaker Consensus Model for the UEFA Euro 2016
      by ? in R-bloggers on 2016-05-31 19:43:00
  5. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2016. "Predictive Bookmaker Consensus Model for the UEFA Euro 2016," Working Papers 2016-15, Faculty of Economics and Statistics, Universität Innsbruck.

    Mentioned in:

    1. Predictive Bookmaker Consensus Model for the UEFA Euro 2016
      by ? in R-bloggers on 2016-05-31 19:43:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Susanne Berger & Herbert Stocker & Achim Zeileis, 2017. "Innovation and institutional ownership revisited: an empirical investigation with count data models," Empirical Economics, Springer, vol. 52(4), pages 1675-1688, June.

    Mentioned in:

    1. Innovation and institutional ownership revisited: an empirical investigation with count data models (Emp Econ 2017) in ReplicationWiki ()
  2. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847.

    Mentioned in:

    1. On Reproducible Econometric Research (Journal of Applied Econometrics 2009) in ReplicationWiki ()
  3. Christian Kleiber & Achim Zeileis, 2005. "Validating multiple structural change models-a case study," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 685-690.

    Mentioned in:

    1. Validating multiple structural change models–a case study (Journal of Applied Econometrics 2005) in ReplicationWiki ()

Working papers

  1. Nikolaus Umlauf & Nadja Klein & Achim Zeileis, 2017. "BAMLSS: Bayesian Additive Models for Location, Scale and Shape (and Beyond)," Working Papers 2017-05, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Thorsten Simon & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2018. "Lightning Prediction Using Model Output Statistics," Working Papers 2018-14, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Andreas Groll & Julien Hambuckers & Thomas Kneib & Nikolaus Umlauf, 2018. "LASSO-Type Penalization in the Framework of Generalized Additive Models for Location, Scale and Shape," Working Papers 2018-16, Faculty of Economics and Statistics, Universität Innsbruck.
    3. Thomas Kneib & Nikolaus Umlauf, 2017. "A Primer on Bayesian Distributional Regression," Working Papers 2017-13, Faculty of Economics and Statistics, Universität Innsbruck.

  2. Susanne Berger & Nathaniel Graham & Achim Zeileis, 2017. "Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R," Working Papers 2017-12, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Ghislain B. D. Aïhounton & Arne Henningsen & Neda Trifkovic, 2021. "Pesticide Handling and Human Health: Conventional and Organic Cotton Farming in Benin," IFRO Working Paper 2021/06, University of Copenhagen, Department of Food and Resource Economics.
    2. Henningsen, Geraldine & Wiese, Catharina, 2019. "Do Household Characteristics Really Matter? A Meta-Analysis on the Determinants of Households’ Energy-Efficiency Investments," MPRA Paper 101701, University Library of Munich, Germany.
    3. Aihounton, Ghislain & Henningsen, Arne, 2021. "Organic Farming and Food and Nutrition Security," 2021 Conference, August 17-31, 2021, Virtual 315413, International Association of Agricultural Economists.

  3. Michel Philipp & Carolin Strobl & Jimmy de la Torre & Achim Zeileis, 2016. "On the Estimation of Standard Errors in Cognitive Diagnosis Models," Working Papers 2016-25, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Wenchao Ma & Jimmy de la Torre, 2019. "Category-Level Model Selection for the Sequential G-DINA Model," Journal of Educational and Behavioral Statistics, , vol. 44(1), pages 45-77, February.
    2. Kazuhiro Yamaguchi & Kensuke Okada, 2020. "Variational Bayes Inference for the DINA Model," Journal of Educational and Behavioral Statistics, , vol. 45(5), pages 569-597, October.
    3. Kazuhiro Yamaguchi & Jonathan Templin, 2022. "Direct Estimation of Diagnostic Classification Model Attribute Mastery Profiles via a Collapsed Gibbs Sampling Algorithm," Psychometrika, Springer;The Psychometric Society, vol. 87(4), pages 1390-1421, December.

  4. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2016. "Predictive Bookmaker Consensus Model for the UEFA Euro 2016," Working Papers 2016-15, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Groll Andreas & Kneib Thomas & Mayr Andreas & Schauberger Gunther, 2018. "On the dependency of soccer scores – a sparse bivariate Poisson model for the UEFA European football championship 2016," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 14(2), pages 65-79, June.
    2. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2018. "Probabilistic forecasts for the 2018 FIFA World Cup based on the bookmaker consensus model," Working Papers 2018-09, Faculty of Economics and Statistics, Universität Innsbruck.

  5. Reto Stauffer & Jakob W. Messner & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2016. "Spatio-Temporal Precipitation Climatology over Complex Terrain Using a Censored Additive Regression Model," Working Papers 2016-07, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Reto Stauffer & Jakob W. Messner & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2016. "Ensemble Post-Processing of Daily Precipitation Sums over Complex Terrain Using Censored High-Resolution Standardized Anomalies," Working Papers 2016-21, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Thomas Kneib & Nadja Klein & Stefan Lang & Nikolaus Umlauf, 2019. "Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 1-39, March.

  6. Reto Stauffer & Jakob W. Messner & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2016. "Ensemble Post-Processing of Daily Precipitation Sums over Complex Terrain Using Censored High-Resolution Standardized Anomalies," Working Papers 2016-21, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Markus Dabernig & Georg J. Mayr & Jakob W. Messner & Achim Zeileis, 2016. "Simultaneous Ensemble Post-Processing for Multiple Lead Times with Standardized Anomalies," Working Papers 2016-31, Faculty of Economics and Statistics, Universität Innsbruck.

  7. Marjolein Fokkema & Niels Smits & Achim Zeileis & Torsten Hothorn & Henk Kelderman, 2015. "Detecting Treatment-Subgroup Interactions in Clustered Data with Generalized Linear Mixed-Effects Model Trees," Working Papers 2015-10, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Roberta Siciliano & Antonio D’Ambrosio & Massimo Aria & Sonia Amodio, 2017. "Analysis of Web Visit Histories, Part II: Predicting Navigation by Nested STUMP Regression Trees," Journal of Classification, Springer;The Classification Society, vol. 34(3), pages 473-493, October.

  8. Susanne Berger & Herbert Stocker & Achim Zeileis, 2014. "Innovation and Institutional Ownership Revisited: An Empirical Investigation with Count Data Models," Working Papers 2014-24, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Susanne Berger & Nathaniel Graham & Achim Zeileis, 2017. "Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R," Working Papers 2017-12, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Unsal, Omer & Rayfield, Blake, 2019. "Institutional investors and medical innovation," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 190-205.

  9. Torsten Hothorn & Achim Zeileis, 2014. "partykit: A Modular Toolkit for Recursive Partytioning in R," Working Papers 2014-10, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Thomas Grubinger & Achim Zeileis & Karl-Peter Pfeiffer, 2011. "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Working Papers 2011-20, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Thomas Rusch & Achim Zeileis, 2014. "Discussion," International Statistical Review, International Statistical Institute, vol. 82(3), pages 361-367, December.
    3. Tomasz Melcer & Monika E Danielewska & D Robert Iskander, 2015. "Wavelet Representation of the Corneal Pulse for Detecting Ocular Dicrotism," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-13, April.
    4. Fu, Wei & Simonoff, Jeffrey S., 2015. "Unbiased regression trees for longitudinal and clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 53-74.
    5. Schivinski, Bruno, 2021. "Eliciting brand-related social media engagement: A conditional inference tree framework," Journal of Business Research, Elsevier, vol. 130(C), pages 594-602.

  10. Christian Kleiber & Achim Zeileis, 2014. "Visualizing Count Data Regressions Using Rootograms," Working Papers 2014-20, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Yaşar Tonta & Müge Akbulut, 2020. "Does monetary support increase citation impact of scholarly papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1617-1641, November.
    2. Gozde Ozonder & Eric J. Miller, 2021. "Longitudinal analysis of activity generation in the Greater Toronto and Hamilton Area," Transportation, Springer, vol. 48(3), pages 1149-1183, June.
    3. Marcelo Bourguignon & Rodrigo M. R. Medeiros, 2022. "A simple and useful regression model for fitting count data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(3), pages 790-827, September.
    4. Lagona, Francesco & Padovano, Fabio, 2021. "How does legislative behavior change when the country becomes democratic? The case of South Korea," European Journal of Political Economy, Elsevier, vol. 69(C).
    5. Cornelia Fuetterer & Thomas Augustin & Christiane Fuchs, 2020. "Adapted single-cell consensus clustering (adaSC3)," 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. 14(4), pages 885-896, December.
    6. Brutti, Zelda & Montolio, Daniel, 2021. "Preventing criminal minds: Early education access and adult offending behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 97-126.
    7. Evangelos Papadias & Vassilis Detsis & Antonis Hadjikyriacou & Apostolos G. Papadopoulos & Christoforos Vradis & Christos Chalkias, 2023. "Long-Term Dynamics of Viticultural Landscape in Cyprus—Four Centuries of Expansion, Contraction and Spatial Displacement," Land, MDPI, vol. 12(6), pages 1-23, May.
    8. Thorsten Simon & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2018. "Lightning Prediction Using Model Output Statistics," Working Papers 2018-14, Faculty of Economics and Statistics, Universität Innsbruck.
    9. Candelon, Bertrand & Joëts, Marc & Mignon, Valérie, 2023. "What Makes Econometric Ideas Popular: The Role of Connectivity," LIDAM Discussion Papers LFIN 2023005, Université catholique de Louvain, Louvain Finance (LFIN).
    10. Chiara Bocci & Laura Grassini & Emilia Rocco, 2021. "A multiple inflated negative binomial hurdle regression model: analysis of the Italians’ tourism behaviour during the Great Recession," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1109-1133, October.
    11. Cornelius Fritz & Göran Kauermann, 2022. "On the interplay of regional mobility, social connectedness and the spread of COVID‐19 in Germany," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 400-424, January.
    12. Balakrishnan, Srijith & Lim, Taehoon & Zhang, Zhanmin, 2022. "A methodology for evaluating the economic risks of hurricane-related disruptions to port operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 58-79.
    13. Virgili, Auriane & Racine, Mélanie & Authier, Matthieu & Monestiez, Pascal & Ridoux, Vincent, 2017. "Comparison of habitat models for scarcely detected species," Ecological Modelling, Elsevier, vol. 346(C), pages 88-98.
    14. Adrian Richter & Julia Truthmann & Jean-François Chenot & Carsten Oliver Schmidt, 2021. "Predicting Physician Consultations for Low Back Pain Using Claims Data and Population-Based Cohort Data—An Interpretable Machine Learning Approach," IJERPH, MDPI, vol. 18(22), pages 1-14, November.

  11. Daniela Glätzle-Rützler & Matthias Sutter & Achim Zeileis, 2013. "No myopic loss aversion in adolescents? - An experimental note," Working Papers 2013-07, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Dominic Bergers, 2021. "Individual differences in the susceptibility of biases relevant in price management: a state-of-the-art article," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(4), pages 497-528, August.
    2. Lucks, Konstantin E. & Luhrmann, Melanie & Winter, Joachim, 2020. "Assortative matching and social interaction: A field experiment on adolescents' risky choices," Munich Reprints in Economics 84741, University of Munich, Department of Economics.
    3. Sutter, Matthias & Zoller, Claudia & Glätzle-Rützler, Daniela, 2018. "Economic Behavior of Children and Adolescents - A First Survey of Experimental Economics Results," IZA Discussion Papers 11947, Institute of Labor Economics (IZA).
    4. Lucks, Konstantin, 2016. "The Impact of Self-Control on Investment Decisions," MPRA Paper 73099, University Library of Munich, Germany.
    5. Konstanting Lucks & Melanie Lührmann & Joachim K. Winter, 2017. "Peer effects in risky choices among adolescents," IFS Working Papers W17/16, Institute for Fiscal Studies.

  12. Jakob W. Messner & Achim Zeileis & Jochen Broecker & Georg J. Mayr, 2013. "Improved Probabilistic Wind Power Forecasts with an Inverse Power Curve Transformation and Censored Regression," Working Papers 2013-01, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Ricardo J. Bessa & Corinna Möhrlen & Vanessa Fundel & Malte Siefert & Jethro Browell & Sebastian Haglund El Gaidi & Bri-Mathias Hodge & Umit Cali & George Kariniotakis, 2017. "Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry," Energies, MDPI, vol. 10(9), pages 1-48, September.
    2. Iversen, Emil B. & Morales, Juan M. & Møller, Jan K. & Madsen, Henrik, 2016. "Short-term probabilistic forecasting of wind speed using stochastic differential equations," International Journal of Forecasting, Elsevier, vol. 32(3), pages 981-990.

  13. Edgar C. Merkle & Jinyan Fan & Achim Zeileis, 2012. "Testing for Measurement Invariance with Respect to an Ordinal Variable," Working Papers 2012-24, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Ting Wang & Edgar C. Merkle & Achim Zeileis, 2013. "Score-Based Tests of Measurement Invariance: Use in Practice," Working Papers 2013-33, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Jones, Payton J. & Mair, Patrick & Simon, Thorsten & Zeileis, Achim, 2019. "Network Model Trees," OSF Preprints ha4cw, Center for Open Science.
    3. K. B. S. Huth & L. J. Waldorp & J. Luigjes & A. E. Goudriaan & R. J. Holst & M. Marsman, 2022. "A Note on the Structural Change Test in Highly Parameterized Psychometric Models," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1064-1080, September.
    4. Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis, 2020. "Network Trees: A Method for Recursively Partitioning Covariance Structures," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 926-945, December.
    5. Felix Zimmer & Clemens Draxler & Rudolf Debelak, 2023. "Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT," Psychometrika, Springer;The Psychometric Society, vol. 88(4), pages 1249-1298, December.
    6. Gutiérrez-Vargas, Álvaro A. & Meulders, Michel & Vandebroek, Martina, 2023. "Modeling preference heterogeneity using model-based decision trees," Journal of choice modelling, Elsevier, vol. 46(C).
    7. Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle, 2022. "Computation and application of generalized linear mixed model derivatives using lme4," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1173-1193, September.
    8. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.

  14. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2012. "History Repeating: Spain Beats Germany in the EURO 2012 Final," Working Papers 2012-09, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Groll Andreas & Abedieh Jasmin, 2013. "Spain retains its title and sets a new record – generalized linear mixed models on European football championships," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(1), pages 51-66, March.
    2. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2014. "Home Victory for Brazil in the 2014 FIFA World Cup," Working Papers 2014-17, Faculty of Economics and Statistics, Universität Innsbruck.
    3. Groll Andreas & Schauberger Gunther & Tutz Gerhard, 2015. "Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(2), pages 97-115, June.
    4. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2016. "Predictive Bookmaker Consensus Model for the UEFA Euro 2016," Working Papers 2016-15, Faculty of Economics and Statistics, Universität Innsbruck.
    5. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2018. "Probabilistic forecasts for the 2018 FIFA World Cup based on the bookmaker consensus model," Working Papers 2018-09, Faculty of Economics and Statistics, Universität Innsbruck.

  15. Nikolaus Umlauf & Daniel Adler & Thomas Kneib & Stefan Lang & Achim Zeileis, 2012. "Structured Additive Regression Models: An R Interface to BayesX," Working Papers 2012-10, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Fiifi Amoako Johnson & Mumuni Abu & Chigozie Edson Utazi, 2019. "Geospatial correlates of early marriage and union formation in Ghana," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-17, October.
    2. Sibhatu, Kibrom T. & Steinhübel, Linda & Siregar, Hermanto & Qaim, Matin & Wollni, Meike, 2022. "Spatial heterogeneity in smallholder oil palm production," Forest Policy and Economics, Elsevier, vol. 139(C).
    3. Harttgen, Kenneth & Lang, Stefan & Seiler, Johannes, 2019. "Selective mortality and the anthropometric status of children in low- and middle-income countries," Economics & Human Biology, Elsevier, vol. 34(C), pages 257-273.
    4. Brown, Paul T. & Joshi, Chaitanya & Joe, Stephen & Rue, Håvard, 2021. "A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    5. Guhl, Daniel & Baumgartner, Bernhard & Kneib, Thomas & Steiner, Winfried J., 2018. "Estimating time-varying parameters in brand choice models: A semiparametric approach," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 394-414.
    6. Simon N. Wood, 2020. "Inference and computation with generalized additive models and their extensions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 307-339, June.
    7. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    8. Chibuzor Christopher Nnanatu & Glory Atilola & Paul Komba & Lubanzadio Mavatikua & Zhuzhi Moore & Dennis Matanda & Otibho Obianwu & Ngianga-Bakwin Kandala, 2021. "Evaluating changes in the prevalence of female genital mutilation/cutting among 0-14 years old girls in Nigeria using data from multiple surveys: A novel Bayesian hierarchical spatio-temporal model," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-31, February.
    9. Bernhard Baumgartner & Daniel Guhl & Thomas Kneib & Winfried J. Steiner, 2018. "Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 837-873, October.
    10. Schmidt, Paul & Mühlau, Mark & Schmid, Volker, 2017. "Fitting large-scale structured additive regression models using Krylov subspace methods," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 59-75.
    11. Simon N. Wood & Natalya Pya & Benjamin Säfken, 2016. "Smoothing Parameter and Model Selection for General Smooth Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1548-1563, October.
    12. Daniel Wiese & Antoinette M. Stroup & Alina Shevchenko & Sylvia Hsu & Kevin A. Henry, 2023. "Disparities in Cutaneous T-Cell Lymphoma Incidence by Race/Ethnicity and Area-Based Socioeconomic Status," IJERPH, MDPI, vol. 20(4), pages 1-10, February.
    13. Linda Steinhübel & Johannes Wegmann & Oliver Mußhoff, 2020. "Digging deep and running dry—the adoption of borewell technology in the face of climate change and urbanization," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 685-706, September.
    14. Seiler, Johannes & Harttgen, Kenneth & Kneib, Thomas & Lang, Stefan, 2021. "Modelling children's anthropometric status using Bayesian distributional regression merging socio-economic and remote sensed data from South Asia and sub-Saharan Africa," Economics & Human Biology, Elsevier, vol. 40(C).
    15. Ngianga-Bakwin Kandala & Chibuzor Christopher Nnanatu & Glory Atilola & Paul Komba & Lubanzadio Mavatikua & Zhuzhi Moore & Gerry Mackie & Bettina Shell-Duncan, 2019. "A Spatial Analysis of the Prevalence of Female Genital Mutilation/Cutting among 0–14-Year-Old Girls in Kenya," IJERPH, MDPI, vol. 16(21), pages 1-28, October.
    16. Michael Mayer & Steven C. Bourassa & Martin Hoesli & Donato Scognamiglio, 2022. "Machine Learning Applications to Land and Structure Valuation," JRFM, MDPI, vol. 15(5), pages 1-24, April.
    17. Gressani, Oswaldo & Lambert, Philippe, 2021. "Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    18. Ngianga-Bakwin Kandala & Chibuzor Christopher Nnanatu & Glory Atilola & Paul Komba & Lubanzadio Mavatikua & Zhuzhi Moore & Dennis Matanda, 2021. "Analysing Normative Influences on the Prevalence of Female Genital Mutilation/Cutting among 0–14 Years Old Girls in Senegal: A Spatial Bayesian Hierarchical Regression Approach," IJERPH, MDPI, vol. 18(7), pages 1-26, April.
    19. Jamie Roberman & Theophilus I. Emeto & Oyelola A. Adegboye, 2021. "Adverse Birth Outcomes Due to Exposure to Household Air Pollution from Unclean Cooking Fuel among Women of Reproductive Age in Nigeria," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
    20. Steinhübel, Linda & Wenzel, Arne & Hulamani, Prashant & von Cramon-Taubadel, Stephan & Mason, Nicole M., 2021. "The role of space and time in the interaction of farmers' management decisions and bee communities: Evidence from South India," DARE Discussion Papers 2103, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    21. Steinhubel, L., 2018. "Somewhere in between towns, markets, and neighbors Agricultural transition in the rural-urban interface of Bangalore, India," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277430, International Association of Agricultural Economists.
    22. Lang, Stefan & Steiner, Winfried J. & Weber, Anett & Wechselberger, Peter, 2015. "Accommodating heterogeneity and nonlinearity in price effects for predicting brand sales and profits," European Journal of Operational Research, Elsevier, vol. 246(1), pages 232-241.
    23. Piyali Basak & Antonio Linero & Debajyoti Sinha & Stuart Lipsitz, 2022. "Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART)," Biometrics, The International Biometric Society, vol. 78(3), pages 880-893, September.
    24. Nikolaus Umlauf & Georg Mayr & Jakob Messner & Achim Zeileis, 2011. "Why Does It Always Rain on Me? A Spatio-Temporal Analysis of Precipitation in Austria," Working Papers 2011-25, Faculty of Economics and Statistics, Universität Innsbruck.
    25. Angel G. Ortiz & Daniel Wiese & Kristen A. Sorice & Minhhuyen Nguyen & Evelyn T. González & Kevin A. Henry & Shannon M. Lynch, 2020. "Liver Cancer Incidence and Area-Level Geographic Disparities in Pennsylvania—A Geo-Additive Approach," IJERPH, MDPI, vol. 17(20), pages 1-20, October.
    26. Sibhatu, Kibrom T. & Steinhübel, Linda & Siregar, Hermanto & Qaim, Matin & Wollni, Meike, 2021. "Spatial Heterogeneity of Oil Palm Production in Indonesia: Implications for Intervention Strategies," 2021 Conference, August 17-31, 2021, Virtual 315222, International Association of Agricultural Economists.
    27. Kenneth Harttgen & Stefan Lang & Judith Santer & Johannes Seiler, 2017. "Modeling under-5 mortality through multilevel structured additive regression with varying coefficients for Asia and Sub-Saharan Africa," Working Papers 2017-15, Faculty of Economics and Statistics, Universität Innsbruck.

  16. Hannah Frick & Carolin Strobl & Friedrich Leisch & Achim Zeileis, 2011. "Flexible Rasch Mixture Models with Package psychomix," Working Papers 2011-21, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Hannah Frick & Carolin Strobl & Achim Zeileis, 2013. "Rasch Mixture Models for DIF Detection: A Comparison of Old and New Score Specifications," Working Papers 2013-36, Faculty of Economics and Statistics, Universität Innsbruck.

  17. Thomas Grubinger & Achim Zeileis & Karl-Peter Pfeiffer, 2011. "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Working Papers 2011-20, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.
    2. Max Tabord-Meehan, 2018. "Stratification Trees for Adaptive Randomization in Randomized Controlled Trials," Papers 1806.05127, arXiv.org, revised Jul 2022.
    3. Emmanuel Jordy Menvouta & Jolien Ponnet & Robin Van Oirbeek & Tim Verdonck, 2022. "mCube: Multinomial Micro-level reserving Model," Papers 2212.00101, arXiv.org.
    4. Yagli, Gokhan Mert & Yang, Dazhi & Srinivasan, Dipti, 2019. "Automatic hourly solar forecasting using machine learning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 487-498.
    5. Alvarez-Iglesias, Alberto & Hinde, John & Ferguson, John & Newell, John, 2017. "An alternative pruning based approach to unbiased recursive partitioning," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 90-102.
    6. Fernandez Martinez, Roberto & Lostado Lorza, Ruben & Santos Delgado, Ana Alexandra & Piedra, Nelson, 2021. "Use of classification trees and rule-based models to optimize the funding assignment to research projects: A case study of UTPL," Journal of Informetrics, Elsevier, vol. 15(1).
    7. Höppner, Sebastiaan & Stripling, Eugen & Baesens, Bart & Broucke, Seppe vanden & Verdonck, Tim, 2020. "Profit driven decision trees for churn prediction," European Journal of Operational Research, Elsevier, vol. 284(3), pages 920-933.
    8. Anja Breuer & Yves Staudt, 2022. "Equalization Reserves for Reinsurance and Non-Life Undertakings in Switzerland," Risks, MDPI, vol. 10(3), pages 1-41, March.
    9. Davide Natalini & Giangiacomo Bravo & Aled Wynne Jones, 2019. "Global food security and food riots – an agent-based modelling approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(5), pages 1153-1173, October.
    10. Chi-Chang Chang & Tse-Hung Huang & Pei-Wei Shueng & Ssu-Han Chen & Chun-Chia Chen & Chi-Jie Lu & Yi-Ju Tseng, 2021. "Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors," IJERPH, MDPI, vol. 18(23), pages 1-10, November.
    11. Emilio Carrizosa & Cristina Molero-Río & Dolores Romero Morales, 2021. "Mathematical optimization in classification and regression trees," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 5-33, April.
    12. Yves Staudt & Joël Wagner, 2021. "Assessing the Performance of Random Forests for Modeling Claim Severity in Collision Car Insurance," Risks, MDPI, vol. 9(3), pages 1-28, March.
    13. Vrigazova Borislava, 2021. "The Proportion for Splitting Data into Training and Test Set for the Bootstrap in Classification Problems," Business Systems Research, Sciendo, vol. 12(1), pages 228-242, May.
    14. Islam, Towhidul & Meade, Nigel & Carson, Richard T. & Louviere, Jordan J. & Wang, Juan, 2022. "The usefulness of socio-demographic variables in predicting purchase decisions: Evidence from machine learning procedures," Journal of Business Research, Elsevier, vol. 151(C), pages 324-338.
    15. Ronilo Ragodos & Tong Wang, 2022. "Disjunctive Rule Lists," INFORMS Journal on Computing, INFORMS, vol. 34(6), pages 3259-3276, November.
    16. Claudio Conversano & Elise Dusseldorp, 2017. "Modeling Threshold Interaction Effects Through the Logistic Classification Trunk," Journal of Classification, Springer;The Classification Society, vol. 34(3), pages 399-426, October.
    17. Federico Divina & Miguel García Torres & Francisco A. Goméz Vela & José Luis Vázquez Noguera, 2019. "A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings," Energies, MDPI, vol. 12(10), pages 1-23, May.
    18. Patrick Rehill & Nicholas Biddle, 2022. "Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation," Papers 2212.06312, arXiv.org, revised Oct 2023.
    19. Federico Divina & Aude Gilson & Francisco Goméz-Vela & Miguel García Torres & José F. Torres, 2018. "Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting," Energies, MDPI, vol. 11(4), pages 1-31, April.
    20. Roberto Chiosa & Marco Savino Piscitelli & Alfonso Capozzoli, 2021. "A Data Analytics-Based Energy Information System (EIS) Tool to Perform Meter-Level Anomaly Detection and Diagnosis in Buildings," Energies, MDPI, vol. 14(1), pages 1-28, January.
    21. Hajko, Vladimír, 2017. "The failure of Energy-Economy Nexus: A meta-analysis of 104 studies," Energy, Elsevier, vol. 125(C), pages 771-787.

  18. Christian Kleiber & Achim Zeileis, 2011. "Reproducible Econometric Simulations," Working Papers 2011-02, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Christian Zimmermann, 2015. "On the Need for a Replication Journal," Working Papers 2015-16, Federal Reserve Bank of St. Louis.
    2. Burgard Jan Pablo & Dieckmann Hanna & Krause Joscha & Merkle Hariolf & Münnich Ralf & Neufang Kristina M. & Schmaus Simon, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.

  19. Bettina Grün & Ioannis Kosmidis & Achim Zeileis, 2011. "Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned," Working Papers 2011-22, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Kathryn M. Irvine & T. J. Rodhouse & Ilai N. Keren, 2016. "Extending Ordinal Regression with a Latent Zero-Augmented Beta Distribution," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(4), pages 619-640, December.
    2. Emilio Gómez-Déniz & Jorge V Pérez-Rodríguez & José Boza-Chirino, 2020. "Modelling tourist expenditure at origin and destination," Tourism Economics, , vol. 26(3), pages 437-460, May.
    3. Chen, Kee Kuo & Chiu, Rong-Her & Chang, Ching-Ter, 2017. "Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 1-16.
    4. Di Caterina, Claudia & Kosmidis, Ioannis, 2019. "Location-adjusted Wald statistics for scalar parameters," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 126-142.
    5. Tariq Maqsood & Mark Edwards & Ioanna Ioannou & Ioannis Kosmidis & Tiziana Rossetto & Neil Corby, 2016. "Seismic vulnerability functions for Australian buildings by using GEM empirical vulnerability assessment guidelines," 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. 80(3), pages 1625-1650, February.
    6. Wladislaw Mill & John Morgan, 2020. "The Cost of a Divided America: An Experimental Study Into Destructive Behavior," CRC TR 224 Discussion Paper Series crctr224_2020_238, University of Bonn and University of Mannheim, Germany.
    7. Tariq Maqsood & Mark Edwards & Ioanna Ioannou & Ioannis Kosmidis & Tiziana Rossetto & Neil Corby, 2016. "Seismic vulnerability functions for Australian buildings by using GEM empirical vulnerability assessment guidelines," 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. 80(3), pages 1625-1650, February.
    8. Zhou, Haiming & Huang, Xianzheng, 2022. "Bayesian beta regression for bounded responses with unknown supports," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
    9. Diederik Strubbe & Laura Jiménez & A. Márcia Barbosa & Amy J. S. Davis & Luc Lens & Carsten Rahbek, 2023. "Mechanistic models project bird invasions with accuracy," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    10. Cristine Rauber & Francisco Cribari-Neto & Fábio M. Bayer, 2020. "Improved testing inferences for beta regressions with parametric mean link function," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(4), pages 687-717, December.
    11. Saraev, Vadim & Valatin, Gregory & Peace, Andrew & Quine, Christopher, 2019. "How does a biodiversity value impact upon optimal rotation length? An investigation using species richness and forest stand age," Forest Policy and Economics, Elsevier, vol. 107(C), pages 1-1.
    12. Hui Ye & Anthony Bellotti, 2019. "Modelling Recovery Rates for Non-Performing Loans," Risks, MDPI, vol. 7(1), pages 1-17, February.
    13. Kearney, Aubrey D. & Wilson, Elisabeth S. & Hollinshead, Dana M. & Poletika, Michael & Kestian, Heather H. & Stigdon, Terry J. & Miller, Eric A. & Fluke, John D., 2023. "Child welfare triage: Use of screening threshold analysis to evaluate intake decision-making," Children and Youth Services Review, Elsevier, vol. 144(C).

  20. Thomas Windberger & Achim Zeileis, 2011. "Structural Breaks in Inflation Dynamics within the European Monetary Union," Working Papers 2011-12, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Christian Beer, 2011. "Literature Review on the Economic Effects of the Euro on Austria," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 22-34.
    2. Daniela ZAPODEANU & Mihail Ioan COCIUBA & Sorina PETRIS, 2014. "The Inflation - Inflation Uncertainty Nexus In Romania," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 0(Special i), pages 38-43, September.

  21. Carolin Strobl & Julia Kopf & Achim Zeileis, 2011. "A new method for detecting differential item functioning in the Rasch model," Working Papers 2011-01, Faculty of Economics and Statistics, Universität Innsbruck.

    Cited by:

    1. Ting Wang & Edgar C. Merkle & Achim Zeileis, 2013. "Score-Based Tests of Measurement Invariance: Use in Practice," Working Papers 2013-33, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Edgar C. Merkle & Achim Zeileis, 2011. "Generalized Measurement Invariance Tests with Application to Factor Analysis," Working Papers 2011-09, Faculty of Economics and Statistics, Universität Innsbruck.
    3. Edgar Merkle & Jinyan Fan & Achim Zeileis, 2014. "Testing for Measurement Invariance with Respect to an Ordinal Variable," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 569-584, October.
    4. Hannah Frick & Carolin Strobl & Friedrich Leisch & Achim Zeileis, 2011. "Flexible Rasch Mixture Models with Package psychomix," Working Papers 2011-21, Faculty of Economics and Statistics, Universität Innsbruck.
    5. Edgar Merkle & Achim Zeileis, 2013. "Tests of Measurement Invariance Without Subgroups: A Generalization of Classical Methods," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 59-82, January.

  22. Kleiber, Christian & Zeileis, Achim, 2010. "The Grunfeld Data at 50," MPRA Paper 20841, University Library of Munich, Germany.

    Cited by:

    1. Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2019. "Bootstrap methods for inference in the Parks model," Economics Discussion Papers 2019-39, Kiel Institute for the World Economy (IfW Kiel).

  23. Jackman, Simon & Kleiber, Christian & Zeileis, Achim, 2007. "Regression Models for Count Data in R," Working papers 2007/24, Faculty of Business and Economics - University of Basel.

    Cited by:

    1. Lee, Heera & Seo, Bumsuk & Cord, Anna F. & Volk, Martin & Lautenbach, Sven, 2022. "Using crowdsourced images to study selected cultural ecosystem services and their relationships with species richness and carbon sequestration," Ecosystem Services, Elsevier, vol. 54(C).
    2. Taro Kanatani & Kuninori Nakagawa, 2023. "Analysis of reporting lag in daily data of COVID-19 in Japan," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-20, December.
    3. Andre Jungmittag, 2018. "Service Trade Restrictiveness and Internationalisation of Retail Trade," JRC Research Reports JRC113769, Joint Research Centre.
    4. Benedikt Preuß & Lasse Fischer & Annika Schmidt & Kathrin Seibert & Viktoria Hoel & Dominik Domhoff & Franziska Heinze & Werner Brannath & Karin Wolf-Ostermann & Heinz Rothgang, 2022. "COVID-19 in German Nursing Homes: The Impact of Facilities’ Structures on the Morbidity and Mortality of Residents—An Analysis of Two Cross-Sectional Surveys," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    5. Yaşar Tonta & Müge Akbulut, 2020. "Does monetary support increase citation impact of scholarly papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1617-1641, November.
    6. John Haslett & Andrew C. Parnell & John Hinde & Rafael de Andrade Moral, 2022. "Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches," International Statistical Review, International Statistical Institute, vol. 90(2), pages 216-236, August.
    7. Gozde Ozonder & Eric J. Miller, 2021. "Longitudinal analysis of activity generation in the Greater Toronto and Hamilton Area," Transportation, Springer, vol. 48(3), pages 1149-1183, June.
    8. Justin Sims & Vittorio Addona, 2016. "Hurdle Models and Age Effects in the Major League Baseball Draft," Journal of Sports Economics, , vol. 17(7), pages 672-687, October.
    9. Giulio Cainelli & Donato Iacobucci & Alessandra Micozzi, 2015. "Determinants of territorial differences in entrepreneurial rates. An empirical analysis of Italian local systems," Working Papers 1502, c.MET-05 - Centro Interuniversitario di Economia Applicata alle Politiche per L'industria, lo Sviluppo locale e l'Internazionalizzazione, revised Feb 2015.
    10. Shai Pilosof & Carl W Dick & Carmi Korine & Bruce D Patterson & Boris R Krasnov, 2012. "Effects of Anthropogenic Disturbance and Climate on Patterns of Bat Fly Parasitism," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-7, July.
    11. Kim M Pepin & Jia Wang & Colleen T Webb & Jennifer A Hoeting & Mary Poss & Peter J Hudson & Wenshan Hong & Huachen Zhu & Yi Guan & Steven Riley, 2013. "Anticipating the Prevalence of Avian Influenza Subtypes H9 and H5 in Live-Bird Markets," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-8, February.
    12. Lorena Tudela-Marco & Jose Maria Garcia-Alvarez-Coque & Luisa Martí-Selva, 2017. "Do EU Member States Apply Food Standards Uniformly? A Look at Fruit and Vegetable Safety Notifications," Journal of Common Market Studies, Wiley Blackwell, vol. 55(2), pages 387-405, March.
    13. Tobias A. Möller & Christian H. Weiß & Hee-Young Kim & Andrei Sirchenko, 2018. "Modeling Zero Inflation in Count Data Time Series with Bounded Support," Methodology and Computing in Applied Probability, Springer, vol. 20(2), pages 589-609, June.
    14. Totterman, Stephen, 2021. "Vehicle-based recreation and compliance for three beaches in northern New South Wales," OSF Preprints ja8h6, Center for Open Science.
    15. Thomas Wieland, 2023. "Spatial shopping behavior during the Corona pandemic: insights from a micro-econometric store choice model for consumer electronics and furniture retailing in Germany," Journal of Geographical Systems, Springer, vol. 25(2), pages 291-326, April.
    16. Christian Kleiber & Achim Zeileis, 2016. "Visualizing Count Data Regressions Using Rootograms," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 296-303, July.
    17. Atin Adhikari & Jingjing Yin, 2020. "Short-Term Effects of Ambient Ozone, PM 2.5, and Meteorological Factors on COVID-19 Confirmed Cases and Deaths in Queens, New York," IJERPH, MDPI, vol. 17(11), pages 1-13, June.
    18. Bazzazzadeh V & Doosti H & Boskabadi H & Saffari SE & Peyman N & Chesneau C, 2017. "Modeling the Infant’s Age at Hospital Admission in Neonatal with Jaundice at the Ghaem Mashhad Hospital Using Count Models with Excess Zeros," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 3(4), pages 122-128, October.
    19. Ritzinger, Ulrike & Puchinger, Jakob & Rudloff, Christian & Hartl, Richard F., 2022. "Comparison of anticipatory algorithms for a dial-a-ride problem," European Journal of Operational Research, Elsevier, vol. 301(2), pages 591-608.
    20. Jong-Hyun Kim & Yong-Gil Lee, 2021. "Factors of Collaboration Affecting the Performance of Alternative Energy Patents in South Korea from 2010 to 2017," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    21. Yoshitsugu Kitazawa, 2014. "Consistent estimation for the full-fledged fixed effects zero-inflated Poisson model," Discussion Papers 66, Kyushu Sangyo University, Faculty of Economics.
    22. Isidore Muleba & Kowiyou Yessoufou & Isaac T. Rampedi, 2021. "Testing the non-random hypothesis of medicinal plant selection using the woody flora of the Mpumalanga Province, South Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4162-4173, March.
    23. Volition Tlhalitshi Montshiwa & Ntebogang Dinah Moroke, 2017. "The Effect of Sample Size on the Efficiency of Count Data Models: Application to Marriage Data," Journal of Economics and Behavioral Studies, AMH International, vol. 9(3), pages 6-18.
    24. Diniz-Filho, José Alexandre F. & Fioravanti, Maria Clorinda S. & Bini, Luis Mauricio & Rangel, Thiago Fernando, 2016. "Drivers of academic performance in a Brazilian university under a government-restructuring program," Journal of Informetrics, Elsevier, vol. 10(1), pages 151-161.
    25. Olga Alipova & Lada Litvinova & Andrey Lovakov & Maria Yudkevich, 2018. "Inbreds And Non-Inbreds Among Russian Academics: Short-Term Similarity And Long-Term Differences In Productivity," HSE Working papers WP BRP 48/EDU/2018, National Research University Higher School of Economics.
    26. Itsuro Koizumi & Ichiro K. Shimatani, 2016. "Socially induced reproductive synchrony in a salmonid: an approximate Bayesian computation approach," Behavioral Ecology, International Society for Behavioral Ecology, vol. 27(5), pages 1386-1396.
    27. Sarah Harris & Wendy Anderson & Musa Kilinc & Liam Fogarty, 2012. "The relationship between fire behaviour measures and community loss: an exploratory analysis for developing a bushfire severity scale," 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. 63(2), pages 391-415, September.
    28. Yee, Thomas W., 2014. "Reduced-rank vector generalized linear models with two linear predictors," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 889-902.
    29. Achim Zeileis & Yves Croissant, 2010. "Extended Model Formulas in R : Multiple Parts and Multiple Responses," Post-Print hal-01245303, HAL.
    30. Seth Wynes & John Kotcher & Simon D. Donner, 2021. "Can citizen pressure influence politicians’ communication about climate change? Results from a field experiment," Climatic Change, Springer, vol. 168(1), pages 1-20, September.
    31. Erni, Birgit & Bonnevie, Bo T. & Oschadleus, Hans-Dieter & Altwegg, Res & Underhill, Les G., 2013. "moult: An R Package to Analyze Moult in Birds," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i08).
    32. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).
    33. Thanapong Champahom & Sajjakaj Jomnonkwao & Chinnakrit Banyong & Watanya Nambulee & Ampol Karoonsoontawong & Vatanavongs Ratanavaraha, 2021. "Analysis of Crash Frequency and Crash Severity in Thailand: Hierarchical Structure Models Approach," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    34. Breul, Moritz & Broekel, Tom & Brachert, Matthias, 2015. "Die Treiber der räumlichen Emergenz und Konzentration der Photovoltaik-Industrie in Deutschland [The drivers of the spatial emergence and clustering of the photovoltaic industry in Germany]," MPRA Paper 67959, University Library of Munich, Germany.
    35. Evangelos Papadias & Vassilis Detsis & Antonis Hadjikyriacou & Apostolos G. Papadopoulos & Christoforos Vradis & Christos Chalkias, 2023. "Long-Term Dynamics of Viticultural Landscape in Cyprus—Four Centuries of Expansion, Contraction and Spatial Displacement," Land, MDPI, vol. 12(6), pages 1-23, May.
    36. Amy Wesolowski & Caroline O Buckee & Deepa K Pindolia & Nathan Eagle & David L Smith & Andres J Garcia & Andrew J Tatem, 2013. "The Use of Census Migration Data to Approximate Human Movement Patterns across Temporal Scales," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-8, January.
    37. Qiang Fu & Kenneth C. Land & Vicki L. Lamb, 2016. "Violent Physical Bullying Victimization at School: Has There Been a Recent Increase in Exposure or Intensity? An Age-Period-Cohort Analysis in the United States, 1991 to 2012," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(2), pages 485-513, June.
    38. Liu, Hai & Chan, Kung-Sik, 2010. "Introducing COZIGAM: An R Package for Unconstrained and Constrained Zero-Inflated Generalized Additive Model Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i11).
    39. Kong, Maiying & Xu, Sheng & Levy, Steven M. & Datta, Somnath, 2015. "GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries," Computational Statistics & Data Analysis, Elsevier, vol. 85(C), pages 54-66.
    40. Zhichao Fang & Rodrigo Costas & Paul Wouters, 2022. "User engagement with scholarly tweets of scientific papers: a large-scale and cross-disciplinary analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4523-4546, August.
    41. Sewando, Ponsian T. & Mdoe, N. Y. S. & Mutabazi, K. D. S, 2011. "Farmers’ preferential choice decisions to alternative cassava value chain strands in Morogoro rural district, Tanzania," MPRA Paper 29797, University Library of Munich, Germany.
    42. Lagani, Vincenzo & Athineou, Giorgos & Farcomeni, Alessio & Tsagris, Michail & Tsamardinos, Ioannis, 2016. "Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets," MPRA Paper 72772, University Library of Munich, Germany.
    43. Eric Kalunda Panzi & Léon Ngongo Okenge & Eugénie Hamuli Kabali & Félicien Tshimungu & Angèle Keti Dilu & Felix Mulangu & Ngianga-Bakwin Kandala, 2022. "Geo-Climatic Factors of Malaria Morbidity in the Democratic Republic of Congo from 2001 to 2019," IJERPH, MDPI, vol. 19(7), pages 1-16, March.
    44. Samir Martins & Elton Silva & Elena Abella & Nuno Santos Loureiro & Adolfo Marco, 2020. "Warmer incubation temperature influences sea turtle survival and nullifies the benefit of a female-biased sex ratio," Climatic Change, Springer, vol. 163(2), pages 689-704, November.
    45. Alberto Baccini & Lucio Barabesi & Martina Cioni & Caterina Pisani, 2013. "Crossing the hurdle: the determinants of individual scientific performance," Department of Economics University of Siena 691, Department of Economics, University of Siena.
    46. Ernesto R. Gantman, 2009. "International differences of productivity in scholarly management knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 153-165, July.
    47. Merl, Robert & Palan, Stefan & Schmidt, Dominik & Stöckl, Thomas, 2023. "Insider trading regulation and trader migration," Journal of Financial Markets, Elsevier, vol. 66(C).
    48. Jian-E Peng & Xuesong (Andy) Gao, 2019. "Understanding TEFL Academics’ Research Motivation and Its Relations With Research Productivity," SAGE Open, , vol. 9(3), pages 21582440198, July.
    49. Thorsten Simon & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2018. "Lightning Prediction Using Model Output Statistics," Working Papers 2018-14, Faculty of Economics and Statistics, Universität Innsbruck.
    50. Bach, Philipp & Farbmacher, Helmut & Spindler, Martin, 2017. "Semiparametric count data modeling with an application to health service demand," hche Research Papers 15, University of Hamburg, Hamburg Center for Health Economics (hche).
    51. Alexius Wadell & Matthew Guttenberg & Christopher P. Kempes & Venkatasubramanian Viswanathan, 2022. "Super-linear Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap," Papers 2204.03094, arXiv.org.
    52. Weko, Silvia & Goldthau, Andreas, 2022. "Bridging the low-carbon technology gap? Assessing energy initiatives for the Global South," Energy Policy, Elsevier, vol. 169(C).
    53. Christophe Dutang, 2012. "The customer, the insurer and the market," Post-Print hal-01616152, HAL.
    54. Matthew Wilson & Sandi Lane & Raghuveer Mohan & Margaret Sugg, 2020. "Internal and external validation of vulnerability indices: a case study of the Multivariate Nursing Home Vulnerability Index," 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. 100(3), pages 1013-1036, February.
    55. Sean J. Blamires & Cheng-Hui Lai & Ren-Chung Cheng & Chen-Pan Liao & Pao-Sheng Shen & I-Min Tso, 2012. "Body spot coloration of a nocturnal sit-and-wait predator visually lures prey," Behavioral Ecology, International Society for Behavioral Ecology, vol. 23(1), pages 69-74.
    56. Bruce A. Desmarais & John A. Hird, 2014. "Public policy's bibliography: The use of research in US regulatory impact analyses," Regulation & Governance, John Wiley & Sons, vol. 8(4), pages 497-510, December.
    57. Cyrine Ben-Hafaïedh & Alessandra Micozzi & Pierpaolo Pattitoni, 2018. "Academic spin-offs’ entrepreneurial teams and performance: a subgroups approach," The Journal of Technology Transfer, Springer, vol. 43(3), pages 714-733, June.
    58. Ruben Cordera & Pierluigi Coppola & Luigi dell’Olio & Ángel Ibeas, 2017. "Is accessibility relevant in trip generation? Modelling the interaction between trip generation and accessibility taking into account spatial effects," Transportation, Springer, vol. 44(6), pages 1577-1603, November.
    59. Lawrence N Kazembe, 2013. "A Bayesian Two Part Model Applied to Analyze Risk Factors of Adult Mortality with Application to Data from Namibia," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-10, September.
    60. Olivier Finance & Clémentine Cottineau, 2019. "Are the absent always wrong? Dealing with zero values in urban scaling," Environment and Planning B, , vol. 46(9), pages 1663-1677, November.
    61. Binder, Stefan & Macfarlane, Gregory S. & Garrow, Laurie A. & Bierlaire, Michel, 2014. "Associations among household characteristics, vehicle characteristics and emissions failures: An application of targeted marketing data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 122-133.
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    93. Ayan CHOWDHURY & Soma Chowdhury BISWAS, 2018. "Appropriate statistical model for zero-inflated count data: simulation based study," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 6(1), pages 5-12, June.
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    96. Francesco Zuniga & Tomasz J. Kozubowski & Anna K. Panorska, 2021. "A new trivariate model for stochastic episodes," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-21, December.
    97. Rich, Jeppe & Myhrmann, Marcus Skyum & Mabit, Stefan Eriksen, 2023. "Our children cycle less - A Danish pseudo-panel analysis," Journal of Transport Geography, Elsevier, vol. 106(C).
    98. Nan-Ting Liu & Feng-Chang Lin & Yu-Shan Shih, 2020. "Count regression trees," 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. 14(1), pages 5-27, March.
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    100. Antonio J. Sáez-Castillo & Antonio Conde-Sánchez, 2017. "Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model," Statistical Papers, Springer, vol. 58(1), pages 19-33, March.
    101. Moritz Berger & Gerhard Tutz, 2021. "Transition models for count data: a flexible alternative to fixed distribution models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1259-1283, October.
    102. Wenying Yang & Wenhui Zhao & Jianzhong Xiao & Rui Li & Ping Zhang & Katarzyna Kissimova-Skarbek & Erin Schneider & Weiping Jia & Linong Ji & Xiaohui Guo & Zhongyan Shan & Jie Liu & Haoming Tian & Li C, 2012. "Medical Care and Payment for Diabetes in China: Enormous Threat and Great Opportunity," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-13, September.
    103. Jeffey Mackenzy Paul & Frank Cézilly & Etienne Bezault & Christopher Cambrone, 2023. "Modelling the Distribution of Three Invasive Freshwater Turtles in Mainland Guadeloupe: Analysis of Their Presence, Abundance and Co-Occurrence," Sustainability, MDPI, vol. 15(18), pages 1-13, September.
    104. Henrik Basche, 2022. "Determinants of cross-border co-patents: empirical evidence from 45 European regions [Determinanten grenzüberschreitender Ko-Patentaktivitäten: Empirische Befunde aus 45 europäischen Regionen]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(1), pages 1-22, April.
    105. Sandra Hadam, 2021. "Pendler Mobil: Die Verwendung von Mobilfunkdaten zur Unterstützung der amtlichen Pendlerstatistik [Pendler Mobil: The use of mobile network data to support official commuter statistics]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 15(3), pages 197-235, December.
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    107. Andrew Boutton & Vito D’Orazio, 2020. "Buying blue helmets: The role of foreign aid in the construction of UN peacekeeping missions," Journal of Peace Research, Peace Research Institute Oslo, vol. 57(2), pages 312-328, March.
    108. Malhado, Ana C.M. & Santos, Janisson & Correia, Ricardo A. & Campos-Silva, João V. & Teles, Davi & Costa, Marcos H. & Jepson, Paul & Ladle, Richard J., 2020. "Monitoring and mapping non-governmental conservation action in Amazonia," Land Use Policy, Elsevier, vol. 94(C).
    109. David Pelletier & Yannick Seyer & Stefan Garthe & Salomé Bonnefoi & Richard A Phillips & Magella Guillemette, 2020. "So far, so good… Similar fitness consequences and overall energetic costs for short and long-distance migrants in a seabird," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-23, March.
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  24. Kleiber, Christian & Zeileis, Achim, 2004. "Validating multiple structural change models : A case study," Technical Reports 2004,34, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

    Cited by:

    1. Castelnuovo, Efrem, 2010. "Tracking U.S. inflation expectations with domestic and global indicators," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1340-1356, November.
    2. Kholodilin Konstantin Arkadievich & Siliverstovs Boriss, 2006. "On the Forecasting Properties of the Alternative Leading Indicators for the German GDP: Recent Evidence," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(3), pages 234-259, June.
    3. Gawon Yoon, 2009. "Corrigendum to “Regime Changes in International Real Interest Rates: Are They a Monetary Phenomenon?”," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(5), pages 1031-1032, August.
    4. Yoon, Gawon, 2009. "Is high real interest rate persistence an intrinsic characteristic of industrialized economies?," Economic Modelling, Elsevier, vol. 26(2), pages 359-363, March.
    5. Yalta, A. Talha, 2007. "The Numerical Reliability of GAUSS 8.0," The American Statistician, American Statistical Association, vol. 61, pages 262-268, August.
    6. DIMA, Bogdan & DIMA, Ştefana Maria & IOAN, Roxana, 2021. "Remarks on the behaviour of financial market efficiency during the COVID-19 pandemic. The case of VIX," Finance Research Letters, Elsevier, vol. 43(C).
    7. Han Lin Shang & Jiguo Cao & Peijun Sang, 2022. "Stopping time detection of wood panel compression: A functional time‐series approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1205-1224, November.
    8. Julien Chevallier & Sofiane Aboura, 2013. "Leverage vs. Feedback: Which Effect Drives the Oil Market ?," Post-Print hal-01531283, HAL.
    9. Greyling, Jan & Pardey, Philip G. & Senay, Senait, 2023. "Distortionary Agricultural Policies: Their Productivity, Location and Climate Variability Implications for South Africa During the 20th Century," Staff Papers 330158, University of Minnesota, Department of Applied Economics.
    10. Baumöhl, Eduard & Výrost, Tomáš & Lyócsa, Štefan, 2011. "Are we able to capture the EU debt crisis? Evidence from PIIGGS countries in panel unit root framework," MPRA Paper 30334, University Library of Munich, Germany.
    11. Richard G. Anderson & William H. Greene & Bruce D. McCullough & Hrishikesh D. Vinod, 2005. "The role of data & program code archives in the future of economic research," Working Papers 2005-014, Federal Reserve Bank of St. Louis.
    12. A. Talha Yalta & A. Yasemin Yalta, 2009. "Wilkinson Tests and gretl," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 16, pages 243-251, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    13. Kleiber Christian & Zeileis Achim, 2010. "The Grunfeld Data at 50," German Economic Review, De Gruyter, vol. 11(4), pages 404-417, December.
    14. Czinkota, Thomas, 2012. "Das Halteproblem bei Strukturbrüchen in Finanzmarktzeitreihen [The Halting Problem applied to Structural Breaks in Financial Time Series]," MPRA Paper 37072, University Library of Munich, Germany.
    15. Per-Olov Johansson & Bengt Kriström, 2007. "On a clear day you might see an environmental Kuznets curve," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 77-90, May.
    16. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847.
    17. Ross Sparks & Tim Keighley & David Muscatello, 2010. "Early warning CUSUM plans for surveillance of negative binomial daily disease counts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1911-1929.
    18. Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), 2009. "Econometrics with gretl. Proceedings of the gretl Conference 2009," UPV/EHU Books, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales, edition 1, number 01, June.
    19. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    20. González, Andrés & Teräsvirta, Timo, 2006. "Modelling autoregressive processes with a shifting mean," SSE/EFI Working Paper Series in Economics and Finance 637, Stockholm School of Economics, revised 22 May 2007.
    21. A. Yalta & A. Yalta, 2010. "Should Economists Use Open Source Software for Doing Research?," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 371-394, April.
    22. Yalta, A. Talha & Jenal, Olaf, 2009. "On the importance of verifying forecasting results," International Journal of Forecasting, Elsevier, vol. 25(1), pages 62-73.
    23. Lindmark, Magnus & Acar, Sevil, 2013. "Sustainability in the making? A historical estimate of Swedish sustainable and unsustainable development 1850–2000," Ecological Economics, Elsevier, vol. 86(C), pages 176-187.
    24. Ariaster B. Chimeli & Roy G. Boyd, 2010. "Prohibition and the Supply of Brazilian Mahogany," Land Economics, University of Wisconsin Press, vol. 86(1), pages 191-208.
    25. Fabio Clementi & Marco Gallegati & Mauro Gallegati, 2015. "Growth and Cycles of the Italian Economy Since 1861: The New Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 25-59, March.

  25. Zeileis, Achim & Kleiber, Christian & Krämer, Walter & Hornik, Kurt, 2002. "Testing and dating of structural changes in practice," Technical Reports 2002,39, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

    Cited by:

    1. Yin, Anwen, 2015. "Forecasting and model averaging with structural breaks," ISU General Staff Papers 201501010800005727, Iowa State University, Department of Economics.
    2. Shahzad Ahmad & Farooq Pasha, 2015. "A Pragmatic Model for Monetary Policy Analysis I: The Case of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 11, pages 1-42.
    3. Bennett Kleinberg & Isabelle Vegt & Paul Gill, 2021. "The temporal evolution of a far-right forum," Journal of Computational Social Science, Springer, vol. 4(1), pages 1-23, May.
    4. Jounghyeon Kim, 2012. "Monetary and Exchange Rate Policy in the Aftermath of the Asian Financial Crisis: The Case of Korea," Korean Economic Review, Korean Economic Association, vol. 28, pages 91-116.
    5. Makram El-Shagi & Sebastian Giesen, 2013. "Testing for Structural Breaks at Unknown Time: A Steeplechase," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 101-123, January.
    6. Camilo Alberto Cárdenas-Hurtado & María Alejandra Hernández-Montes, 2019. "Understanding the Consumer Confidence Index in Colombia: A structural FAVAR analysis," Borradores de Economia 1063, Banco de la Republica de Colombia.
    7. Liu, Guan-Chun & Lee, Chien-Chiang & Lee, Chi-Chuan, 2016. "The nexus between insurance activity and economic growth: A bootstrap rolling window approach," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 299-319.
    8. Saisai Ding & Xiaoqin Li & Xiang Dong & Wenzhi Yang, 2020. "The Consistency of the CUSUM-Type Estimator of the Change-Point and Its Application," Mathematics, MDPI, vol. 8(12), pages 1-12, November.
    9. Kleiber, Christian, 2016. "Structural Change in (Economic) Time Series," Working papers 2016/06, Faculty of Business and Economics - University of Basel.
    10. Ole Boysen & Kirsten Boysen-Urban & Alan Matthews, 2021. "Alternative EU CAP Tools for Stabilising Farm Incomes in the Era of Climate Change," Working Papers 202103, Geary Institute, University College Dublin.
    11. De Bonis, Riccardo & Marinelli, Giuseppe & Vercelli, Francesco, 2018. "Playing yo-yo with bank competition: New evidence from 1890 to 2014," Explorations in Economic History, Elsevier, vol. 67(C), pages 134-151.
    12. Ibrahim, Omar, 2019. "Modelling Risk on the Egyptian Stock Market: Evidence from a Markov-Regime Switching GARCH Process," MPRA Paper 98091, University Library of Munich, Germany.
    13. Ambrosius, Christian, 2017. "What explains the speed of recovery from banking crises?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 257-287.
    14. Frijns, Bart & Indriawan, Ivan & Otsubo, Yoichi & Tourani-Rad, Alireza, 2019. "The cost of trading during Federal Funds Rate announcements: Evidence from cross-listed stocks," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 176-187.
    15. Gerdesmeier, Dieter & Reimers, Hans-Eggert & Roffia, Barbara, 2023. "Investigating the inflation-output-nexus for the euro area: Old questions and new results," Wismar Discussion Papers 01/2023, Hochschule Wismar, Wismar Business School.
    16. Chang, Bi-Juan & Hung, Mao-Wei, 2021. "Corporate debt and cash decisions: A nonlinear panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 15-37.
    17. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    18. Casson, Catherine & Fry, J. M. & Casson, Mark, 2011. "Evolution or revolution? a study of price and wage volatility in England, 1200-1900," MPRA Paper 31518, University Library of Munich, Germany.
    19. Christian Aßmann & Jens Hogrefe & Roman Liesenfeld, 2009. "The decline in German output volatility: a Bayesian analysis," Empirical Economics, Springer, vol. 37(3), pages 653-679, December.
    20. von Blanckenburg, Korbinian & Reher, Gerrit, 2008. "Testverfahren zur Beurteilung der Funktionsfähigkeit von Marktprozessen," Beiträge zur angewandten Wirtschaftsforschung 23, University of Münster, Center of Applied Economic Research Münster (CAWM).
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    150. Fabio Clementi & Marco Gallegati & Mauro Gallegati, 2015. "Growth and Cycles of the Italian Economy Since 1861: The New Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 25-59, March.

  26. Zeileis, Achim & Leisch, Friedrich & Kleiber, Christian & Hornik, Kurt, 2002. "Monitoring structural change in dynamic econometric models," Technical Reports 2002,07, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

    Cited by:

    1. Achim Zeileis, 2005. "A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 445-466.
    2. Chi-Wei Su & Hui Yu & Hsu-Ling Chang & Xiao-Lin Li, 2017. "How does inflation determine inflation uncertainty? A Chinese perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1417-1434, May.
    3. Chi Wei Su & Heng-Guo Zhang & Hsu-Ling Chang & Rui Nian, 2016. "Is exchange rate stability beneficial for stabilizing consumer prices in China?," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(6), pages 857-879, September.
    4. Aye, Goodness C. & Balcilar, Mehmet & El Montasser, Ghassen & Gupta, Rangan & Manjez, Nangamso C., 2016. "Can debt ceiling and government shutdown predict us real stock returns? A bootstrap rolling window approach. - Gli effetti sui rendimenti azionari reali negli USA del tetto del debito pubblico e del b," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(1), pages 11-32.
    5. Mishra, Bibhuti Ranjan & Pradhan, Ashis Kumar & Tiwari, Aviral Kumar & Shahbaz, Muhammad, 2019. "The dynamic causality between gold and silver prices in India: Evidence using time-varying and non-linear approaches," Resources Policy, Elsevier, vol. 62(C), pages 66-76.
    6. Wendy Nyakabawo & Stephen M. Miller & Mehmet Balcilar & Sonali Das & Rangan Gupta, 2013. "Temporal Causality between House Prices and Output in the U. S.: A Bootstrap Rolling-Window Approach," Working Papers 201329, University of Pretoria, Department of Economics.
    7. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Shahbaz, Muhammad, 2018. "The renewable energy consumption and growth in the G-7 countries: Evidence from historical decomposition method," MPRA Paper 85473, University Library of Munich, Germany, revised 05 Mar 2018.
    8. Lajos Horv'ath & Zhenya Liu & Shanglin Lu, 2020. "Sequential Monitoring of Changes in Housing Prices," Papers 2002.04101, arXiv.org.
    9. Liu, Guo-Dong & Su, Chi-Wei, 2019. "The dynamic causality between gold and silver prices in China market: A rolling window bootstrap approach," Finance Research Letters, Elsevier, vol. 28(C), pages 101-106.
    10. Patnaik, Ila & Shah, Ajay, 2010. "Does the currency regime shape unhedged currency exposure?," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 760-769, September.
    11. Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
    12. Boysen-Hogrefe, Jens & Hoffmann, Timo, 2023. "Vorschläge zur Modifikation der Potenzialschätzung der Bundesregierung im Vergleich," Kieler Beiträge zur Wirtschaftspolitik 45, Kiel Institute for the World Economy (IfW Kiel).
    13. Berlemann, Michael & Freese, Julia & Knoth, Sven, 2012. "Eyes Wide Shut? The U.S. House Market Bubble through the Lense of Statistical Process Control," Working Paper 124/2012, Helmut Schmidt University, Hamburg.
    14. Jana Eklund & George Kapetanios & Simon Price, 2013. "Robust Forecast Methods and Monitoring during Structural Change," Manchester School, University of Manchester, vol. 81, pages 3-27, October.
    15. Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
    16. Khalid Khan & Jiluo Sun & Sinem Derindere Koseoglu & Ashfaq U. Rehman, 2021. "Revisiting Bitcoin Price Behavior Under Global Economic Uncertainty," SAGE Open, , vol. 11(3), pages 21582440211, August.
    17. Andreou, Elena & Ghysels, Eric, 2006. "Monitoring disruptions in financial markets," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 77-124.
    18. David Su & Xin Li & Oana-Ramona Lobonþ & Yanping Zhao, 2016. "Economic policy uncertainty and housing returns in Germany: Evidence from a bootstrap rolling window," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(1), pages 43-61.
    19. Eklund, J. & Kapetanios, G. & Price, S., 2011. "Forecasting in the presence of recent structural change," Working Papers 11/05, Department of Economics, City University London.
    20. Chi-Wei Su & Jiao-Jiao Fan & Hsu-Ling Chang & Xiao-Lin Li, 2016. "Is there Causal Relationship between Money Supply Growth and Inflation in China? Evidence from Quantity Theory of Money," Review of Development Economics, Wiley Blackwell, vol. 20(3), pages 702-719, August.
    21. Zeileis, Achim & Shah, Ajay & Patnaik, Ila, 2010. "Testing, monitoring, and dating structural changes in exchange rate regimes," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1696-1706, June.
    22. Yudong Chen & Tengyao Wang & Richard J. Samworth, 2022. "High‐dimensional, multiscale online changepoint detection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(1), pages 234-266, February.
    23. Mehmet Balcilar & Zeynel Abidin Ozdemir & Muhammad Shahbaz, 2019. "On the time‐varying links between oil and gold: New insights from the rolling and recursive rolling approaches," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1047-1065, July.
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    25. Yawen Wang & Qing Wang & Zhaopeng Xing, 2022. "Climate Disaster Losses and Foreign Exchange Reserve Dynamics: Evidence of East Asia Pacific," Sustainability, MDPI, vol. 14(21), pages 1-15, November.
    26. Muhammad Shahbaz & Mehmet Balcilar & Mantu Kumar Mahalik & Seyi Saint Akadiri, 2023. "Is causality between globalization and energy consumption bidirectional or unidirectional in top and bottom globalized economies?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1939-1964, April.
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    29. Liu, Tie-Ying & Su, Chi-Wei, 2021. "Is transportation improving urbanization in China?," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
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    31. Jing-Ping Li & Jiao-Jiao Fan & Chi-Wei Su & Oana-Ramona Lobonţ, 2017. "Investment coordinates in the context of housing and stock markets nexus," Applied Economics Letters, Taylor & Francis Journals, vol. 24(20), pages 1455-1463, November.
    32. Jing Sun & Jinhui Xu & Xin Cheng & Jichao Miao & Hairong Mu, 2023. "Dynamic causality between PPI and CPI in China: A rolling window bootstrap approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1279-1289, April.
    33. Chiwei Su & Yingying Xu & Hsu Ling Chang & Oana-Ramona Lobont & Zhixin Liu, 2020. "Dynamic Causalities between Defense Expenditure and Economic Growth in China: Evidence from Rolling Granger Causality Test," Defence and Peace Economics, Taylor & Francis Journals, vol. 31(5), pages 565-582, July.
    34. Hsu, Chih-Chiang, 2007. "The MOSUM of squares test for monitoring variance changes," Finance Research Letters, Elsevier, vol. 4(4), pages 254-260, December.
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    36. KUROZUMI, Eiji & 黒住, 英司, 2016. "Monitoring Parameter Constancy with Endogenous Regressors," Discussion Papers 2016-01, Graduate School of Economics, Hitotsubashi University.
    37. Stanislav Anatolyev, 2006. "Nonparametric retrospection and monitoring of predictability of financial returns," Working Papers w0071, New Economic School (NES).
    38. Aue, Alexander & Horváth, Lajos & Reimherr, Matthew L., 2009. "Delay times of sequential procedures for multiple time series regression models," Journal of Econometrics, Elsevier, vol. 149(2), pages 174-190, April.
    39. Elena Andreou & Eric Ghysels, 2007. "Quality Control for Structural Credit Risk Models," University of Cyprus Working Papers in Economics 3-2007, University of Cyprus Department of Economics.
    40. Jan Verbesselt & Achim Zeileis & Martin Herold, 2011. "Near Real-Time Disturbance Detection in Terrestrial Ecosystems Using Satellite Image Time Series: Drought Detection in Somalia," Working Papers 2011-18, Faculty of Economics and Statistics, Universität Innsbruck.
    41. Bock, David, 2007. "Consequences of using the probability of a false alarm as the false alarm measure," Research Reports 2007:3, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    42. Ross Sparks & Tim Keighley & David Muscatello, 2010. "Early warning CUSUM plans for surveillance of negative binomial daily disease counts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1911-1929.
    43. Kai-Hua Wang & Jia-Min Kan & Cui-Feng Jiang & Chi-Wei Su, 2022. "Is Geopolitical Risk Powerful Enough to Affect Carbon Dioxide Emissions? Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    44. Berkes, István & Hörmann, Siegfried & Horváth, Lajos, 2008. "The functional central limit theorem for a family of GARCH observations with applications," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2725-2730, November.
    45. Riadh El Abed & Noura Harboub, 2022. "Time varying causality between Economic policy uncertainty and stock prices in BRIC countries: A rolling-window bootstrap approach," Economics Bulletin, AccessEcon, vol. 42(4), pages 1767-1781.
    46. Chen, Zhanshou & Tian, Zheng, 2010. "Modified procedures for change point monitoring in linear models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(1), pages 62-75.
    47. Chen, Yudong & Wang, Tengyao & Samworth, Richard J., 2022. "High-dimensional, multiscale online changepoint detection," LSE Research Online Documents on Economics 113665, London School of Economics and Political Science, LSE Library.
    48. Chi Wei Su & Zhi-Feng Wang & Rui Nian & Yanping Zhao, 2017. "Does international capital flow lead to a housing boom? A time-varying evidence from China," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 26(7), pages 851-864, October.
    49. Jan J.J. Groen & George Kapetanios & Simon Price, 2010. "Multivariate Methods for Monitoring Structural Change," Working Papers 658, Queen Mary University of London, School of Economics and Finance.
    50. Adnan Khurshid & Yin Kedong & Adrian Cantemir Calin & Khalid Khan, 2017. "The Effects of Workers’ Remittances on Exchange Rate Volatility and Exports Dynamics - New Evidence from Pakistan," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 20(63), pages 29-52, March.
    51. Weißbach, Rafael & Ponyatovskyy, Vladyslav & Zimmermann, Guido, 2006. "The Yield of Ten-Year T-Bonds: Stumbling Towards a 'Good' Forecast," Technical Reports 2006,50, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    52. Aaron Levi Garavito-Acosta & Maria Mercedes Collazos-Gaitan & Manuel Dario Hernandez-Bejarano & Enrique Montes-Uribe, 2019. "Migración internacional y determinantes de las remesas de trabajadores en Colombia," Borradores de Economia 1066, Banco de la Republica de Colombia.
    53. Tsangyao Chang & Su-Ling Tsai & Kai-yin Allison Haga, 2017. "Uncovering the interrelationship between the U.S. stock and housing markets: a bootstrap rolling window Granger causality approach," Applied Economics, Taylor & Francis Journals, vol. 49(58), pages 5841-5848, December.
    54. David Bock, 2008. "Aspects on the control of false alarms in statistical surveillance and the impact on the return of financial decision systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(2), pages 213-227.
    55. Mamadou Lamine Diop & William Kengne, 2022. "Poisson QMLE for change-point detection in general integer-valued time series models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(3), pages 373-403, April.
    56. Stanislav Anatolyev & Grigory Kosenok, 2011. "Sequential Testing with Uniformly Distributed Size," Working Papers w0123, New Economic School (NES).
    57. Sven Otto & Jorg Breitung, 2020. "Backward CUSUM for Testing and Monitoring Structural Change with an Application to COVID-19 Pandemic Data," Papers 2003.02682, arXiv.org, revised Mar 2022.
    58. Su-Ling TSAI & Tsangyao CHANG, 2018. "The Comovment between Money and Economic Growth in 15 Asia-Pacific Countries: Wavelet Coherency Analysis in Time-Frequency Domain," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 63-79, December.
    59. Carraro, Alessandro & Stefani, Gianluca, 2011. "Price Transmission in Three Italian Food Chains: A Structural Break Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114317, European Association of Agricultural Economists.
    60. Davide Pettenuzzo & Halbert White, 2010. "Granger Causality, Exogeneity, Cointegration, and Economic Policy Analysis," Working Papers 36, Brandeis University, Department of Economics and International Business School.
    61. Khalid Khan & Chi-Wei Su & Yi-Dong Xiao & Haotian Zhu & Xiaoyan Zhang, 2021. "Trends in tourism under economic uncertainty," Tourism Economics, , vol. 27(4), pages 841-858, June.
    62. Lee, O., 2013. "The functional central limit theorem for ARMA–GARCH processes," Economics Letters, Elsevier, vol. 121(3), pages 432-435.
    63. Khan, Khalid & Khurshid, Adnan & Cifuentes-Faura, Javier, 2023. "Energy security analysis in a geopolitically volatile world: A causal study," Resources Policy, Elsevier, vol. 83(C).
    64. Carsten J. Crede, 2019. "A Structural Break Cartel Screen for Dating and Detecting Collusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(3), pages 543-574, May.
    65. Carsten J. Crede, 2015. "A structural break cartel screen for dating and detecting collusion," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2015-11, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    66. Phong B. Dao, 2021. "A CUSUM-Based Approach for Condition Monitoring and Fault Diagnosis of Wind Turbines," Energies, MDPI, vol. 14(11), pages 1-19, June.
    67. Feng-Li Lin & Mei-Chih Wang & Hsien-Hung Kung, 2020. "Housing and Stock Market Nexus in the US," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 114-130.
    68. Yingying Xu & Hsu Ling Chang & Chi Wei Su & Adelina Dumitrescu, 2018. "Guns for Butter? Empirical Evidence from China," Defence and Peace Economics, Taylor & Francis Journals, vol. 29(7), pages 809-820, November.
    69. Tie‐Ying Liu & Chien‐Chiang Lee, 2022. "Exchange rate fluctuations and interest rate policy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3531-3549, July.
    70. Ming-Hsien YANG & Chih-She WU, 2015. "Revisit Export and GDP Nexus in China and Taiwan: A Rolling Window Granger Causality Test," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(604), A), pages 75-92, Autumn.
    71. Okyoung Na & Youngmi Lee & Sangyeol Lee, 2011. "Monitoring parameter change in time series models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 171-199, June.
    72. Blake LeBaron, 2013. "Heterogeneous Agents and Long Horizon Features of Asset Prices," Working Papers 63, Brandeis University, Department of Economics and International Business School, revised Sep 2013.
    73. Yingying Xu & Zhi-Xin Liu & Hsu-Ling Chang & Adelina Dumitrescu Peculea & Chi-Wei Su, 2017. "Does self-fulfilment of the inflation expectation exist?," Applied Economics, Taylor & Francis Journals, vol. 49(11), pages 1098-1113, March.
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  27. Zeileis, Achim & Leisch, Friedrich & Hornik, Kurt & Kleiber, Christian, 2001. "Strucchange: An R package for testing for structural change in linear regression models," Technical Reports 2001,26, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

    Cited by:

    1. G. H. Niedrist & R. Psenner & R. Sommaruga, 2018. "Climate warming increases vertical and seasonal water temperature differences and inter-annual variability in a mountain lake," Climatic Change, Springer, vol. 151(3), pages 473-490, December.
    2. Jiang, Like & Hagen-Zanker, Alex & Kumar, Prashant & Pritchard, John, 2021. "Equity in job accessibility and environmental quality in a segmented housing market: The case of Greater London," Journal of Transport Geography, Elsevier, vol. 90(C).
    3. Maria Lourdes Ordoñez Olivo & Zoltán Lakner, 2023. "Shaping the Knowledge Base of Bioeconomy Sectors Development in Latin American and Caribbean Countries: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    4. Bennett Kleinberg & Isabelle Vegt & Paul Gill, 2021. "The temporal evolution of a far-right forum," Journal of Computational Social Science, Springer, vol. 4(1), pages 1-23, May.
    5. Cheng Few Lee & Manak C. Gupta & Hong-Yi Chen & Alice C. Lee, 2020. "Optimal Payout Ratio Under Uncertainty and the Flexibility Hypothesis: Theory and Empirical Evidence," World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 96, pages 3367-3412, World Scientific Publishing Co. Pte. Ltd..
    6. Camilo Alberto Cárdenas-Hurtado & María Alejandra Hernández-Montes, 2019. "Understanding the Consumer Confidence Index in Colombia: A structural FAVAR analysis," Borradores de Economia 1063, Banco de la Republica de Colombia.
    7. Liu, Guan-Chun & Lee, Chien-Chiang & Lee, Chi-Chuan, 2016. "The nexus between insurance activity and economic growth: A bootstrap rolling window approach," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 299-319.
    8. Kholodilin Konstantin Arkadievich & Siliverstovs Boriss, 2006. "On the Forecasting Properties of the Alternative Leading Indicators for the German GDP: Recent Evidence," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(3), pages 234-259, June.
    9. Kleiber, Christian, 2016. "Structural Change in (Economic) Time Series," Working papers 2016/06, Faculty of Business and Economics - University of Basel.
    10. Mkwara, Bentry, 2010. "The Impact Of Tobacco Marketing And Pricing Policy Reforms On Income Inequality Amongst Growers In Malawi: What Lessons Can Be Learnt From The Australian Experiences?," 2010 Conference (54th), February 10-12, 2010, Adelaide, Australia 59103, Australian Agricultural and Resource Economics Society.
    11. Valerio Filoso & Carlo Panico & Erasmo Papagni & Francesco Purificato & Marta Vázquez Suarez, 2017. "Causes and timing of the European debt crisis: An econometric evaluation," EERI Research Paper Series EERI RP 2017/03, Economics and Econometrics Research Institute (EERI), Brussels.
    12. Ole Boysen & Kirsten Boysen-Urban & Alan Matthews, 2021. "Alternative EU CAP Tools for Stabilising Farm Incomes in the Era of Climate Change," Working Papers 202103, Geary Institute, University College Dublin.
    13. Ting Wang & Edgar C. Merkle & Achim Zeileis, 2013. "Score-Based Tests of Measurement Invariance: Use in Practice," Working Papers 2013-33, Faculty of Economics and Statistics, Universität Innsbruck.
    14. Kleiber, Christian & Zeileis, Achim, 2010. "Reproducible Econometric Simulations," Working papers 2010/12, Faculty of Business and Economics - University of Basel.
    15. Magdalena Mikolajek-Gocejna, 2021. "Estimation, Instability, and Non-Stationarity of Beta Coefficients for Twenty-four Emerging Markets in 2005-2021," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 370-395.
    16. Gianpaolo Zammarchi & Francesco Mola & Claudio Conversano, 2023. "Using sentiment analysis to evaluate the impact of the COVID-19 outbreak on Italy’s country reputation and stock market performance," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 1001-1022, September.
    17. Lance J. Bachmeier & Inkyung Cha, 2011. "Why Don’t Oil Shocks Cause Inflation? Evidence from Disaggregate Inflation Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(6), pages 1165-1183, September.
    18. Schier, Franziska & Morland, Christian & Dieter, Matthias & Weimar, Holger, 2021. "Estimating supply and demand elasticities of dissolving pulp, lignocellulose-based chemical derivatives and textile fibres in an emerging forest-based bioeconomy," Forest Policy and Economics, Elsevier, vol. 126(C).
    19. Christian Kleiber & Achim Zeileis, 2005. "Validating multiple structural change models-a case study," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 685-690.
    20. Matsypura, Dmytro & Pauwels, Laurent L., 2016. "Does portfolio margining make borrowing more attractive?," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 128-134.
    21. Piotr Kotlarz & Michael Hanke & Sebastian Stöckl, 2023. "Regime-dependent drivers of the EUR/CHF exchange rate," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-18, December.
    22. Akaev, Askar & Devezas, Tessaleno & Ichkitidze, Yuri & Sarygulov, Askar, 2021. "Forecasting the labor intensity and labor income share for G7 countries in the digital age," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    23. Agiwal Varun & Kumar Jitendra & Shangodoyin Dahud Kehinde, 2018. "A Bayesian Inference Of Multiple Structural Breaks In Mean And Error Variance In Panelar (1) Model," Statistics in Transition New Series, Polish Statistical Association, vol. 19(1), pages 7-23, March.
    24. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2016. "Score-Based Tests of Differential Item Functioning in the Two-Parameter Model," Working Papers 2016-05, Faculty of Economics and Statistics, Universität Innsbruck.
    25. Gary W. Brester & Kole Swanser & Brett Crosby, 2021. "Adding Weight to a Thinning Live Cattle Market," MSU Staff Papers 310364, Montana State University > Department of Agricultural Economics and Economics.
    26. de Silva, Ashton J & Boymal, Jonathan & Potts, Jason & Thomas, Stuart, 2015. "Does innovation in residential mortgage products explain rising house prices? No," MPRA Paper 62548, University Library of Munich, Germany.
    27. Tatsuru Kikuchi & Toranosuke Onishi & Kenichi Ueda, 2021. "Price Stability of Cryptocurrencies as a Medium of Exchange," Papers 2111.08390, arXiv.org.
    28. Gianna Figà-Talamanca & Marco Patacca, 2020. "Disentangling the relationship between Bitcoin and market attention measures," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 71-91, March.
    29. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).
    30. Zeileis, Achim & Shah, Ajay & Patnaik, Ila, 2010. "Testing, monitoring, and dating structural changes in exchange rate regimes," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1696-1706, June.
    31. Bettina Grün & Ioannis Kosmidis & Achim Zeileis, 2011. "Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned," Working Papers 2011-22, Faculty of Economics and Statistics, Universität Innsbruck.
    32. Edgar C. Merkle & Achim Zeileis, 2011. "Generalized Measurement Invariance Tests with Application to Factor Analysis," Working Papers 2011-09, Faculty of Economics and Statistics, Universität Innsbruck.
    33. Mariateresa Ciommi & Andrea Gentili & Barbara Ermini & Chiara Gigliarano & Francesco M. Chelli & Mauro Gallegati, 2017. "Have Your Cake and Eat it Too: The Well-Being of the Italians (1861–2011)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 473-509, November.
    34. Yazgan, M. Ege & Özkan, Harun, 2015. "Detecting structural changes using wavelets," Finance Research Letters, Elsevier, vol. 12(C), pages 23-37.
    35. Francis Declerck & Jean-Pierre Indjehagopian & Flavien Bellocq, 2015. "Relationship Between Oil Prices and Stock Prices of Major Oil Companies [Relation entre le prix du pétrole et les cours boursiers des grandes compagnies pétrolières mondiales]," Working Papers hal-01119857, HAL.
    36. Kufenko, Vadim & Prettner, Klaus & Geloso, Vincent, 2017. "Divergence, convergence, and the history-augmented Solow model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 11-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    37. Pagliari, Paulo H. & Ranaivoson, Andry Z. & Strock, Jeffrey S., 2021. "Options for statistical analysis of unreplicated paired design drainage experiments," Agricultural Water Management, Elsevier, vol. 244(C).
    38. Xiaodong Du & Cindy L. Yu & Dermot J. Hayes, 2009. "Speculation and Volatility Spillover in the Crude Oil and Agricultural Commodity Markets: A Bayesian Analysis," Center for Agricultural and Rural Development (CARD) Publications 09-wp491, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    39. DIMA, Bogdan & DIMA, Ştefana Maria & IOAN, Roxana, 2021. "Remarks on the behaviour of financial market efficiency during the COVID-19 pandemic. The case of VIX," Finance Research Letters, Elsevier, vol. 43(C).
    40. Cheng Few Lee, 2020. "Financial econometrics, mathematics, statistics, and financial technology: an overall view," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1529-1578, May.
    41. Edgar Merkle & Jinyan Fan & Achim Zeileis, 2014. "Testing for Measurement Invariance with Respect to an Ordinal Variable," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 569-584, October.
    42. Achim Zeileis & Friedrich Leisch & Christian Kleiber & Kurt Hornik, 2005. "Monitoring structural change in dynamic econometric models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 99-121, January.
    43. William Rea & Marco Reale & Jennifer Brown, 2011. "Long memory in temperature reconstructions," Climatic Change, Springer, vol. 107(3), pages 247-265, August.
    44. Greyling, Jan & Pardey, Philip G. & Senay, Senait, 2023. "Distortionary Agricultural Policies: Their Productivity, Location and Climate Variability Implications for South Africa During the 20th Century," Staff Papers 330158, University of Minnesota, Department of Applied Economics.
    45. Yang, Yang & Liu, Qing & Chang, Chia-Hsun, 2023. "China-Europe freight transportation under the first wave of COVID-19 pandemic and government restriction measures," Research in Transportation Economics, Elsevier, vol. 97(C).
    46. Isabelle Vegt & Maximilian Mozes & Paul Gill & Bennett Kleinberg, 2021. "Online influence, offline violence: language use on YouTube surrounding the ‘Unite the Right’ rally," Journal of Computational Social Science, Springer, vol. 4(1), pages 333-354, May.
    47. Ross, Gordon J., 2015. "Parametric and Nonparametric Sequential Change Detection in R: The cpm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 66(i03).
    48. Liu, Guanchun & He, Lei & Yue, Yiding & Wang, Jiying, 2014. "The linkage between insurance activity and banking credit: Some evidence from dynamic analysis," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 239-265.
    49. Tijana Matejić & Snežana Knežević & Vesna Bogojević Arsić & Tijana Obradović & Stefan Milojević & Miljan Adamović & Aleksandra Mitrović & Marko Milašinović & Dragoljub Simonović & Goran Milošević & Ma, 2022. "Assessing the Impact of the COVID-19 Crisis on Hotel Industry Bankruptcy Risk through Novel Forecasting Models," Sustainability, MDPI, vol. 14(8), pages 1-44, April.
    50. Les Oxley & Chris Price & William Rea & Marco Reale, 2008. "A New Procedure to Test for H Self-Similarity," Working Papers in Economics 08/16, University of Canterbury, Department of Economics and Finance.
    51. F. Peters & J. P. Mackenbach & W. J. Nusselder, 2016. "Does the Impact of the Tobacco Epidemic Explain Structural Changes in the Decline of Mortality?," European Journal of Population, Springer;European Association for Population Studies, vol. 32(5), pages 687-702, December.
    52. Mensi, Walid & Lee, Yun-Jung & Al-Yahyaee, Khamis Hamed & Sensoy, Ahmet & Yoon, Seong-Min, 2019. "Intraday downward/upward multifractality and long memory in Bitcoin and Ethereum markets: An asymmetric multifractal detrended fluctuation analysis," Finance Research Letters, Elsevier, vol. 31(C), pages 19-25.
    53. Pouliot, Sébastien, 2012. "On the Economics of Adulteration in Food Imports: Application to US Fish and Seafood Imports," Working Papers 148596, Structure and Performance of Agriculture and Agri-products Industry (SPAA).
    54. Zhang, Xun & Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method," Energy Economics, Elsevier, vol. 31(5), pages 768-778, September.
    55. Czinkota, Thomas, 2012. "Das Halteproblem bei Strukturbrüchen in Finanzmarktzeitreihen [The Halting Problem applied to Structural Breaks in Financial Time Series]," MPRA Paper 37072, University Library of Munich, Germany.
    56. Gachet, Ivan & Maldonado, Diego & Oliva, Nicolas & Ramirez, Jose, 2011. "Hechos Estilizados de la Economía Ecuatoriana: El Ciclo Económico 1965-2008 [Stylized Facts of the Ecuadorian Economy: The Economic Chicle 1965-2008]," MPRA Paper 30280, University Library of Munich, Germany.
    57. Ruggieri, Eric & Antonellis, Marcus, 2016. "An exact approach to Bayesian sequential change point detection," Computational Statistics & Data Analysis, Elsevier, vol. 97(C), pages 71-86.
    58. Christos Katris & Manolis G. Kavussanos, 2021. "Time series forecasting methods for the Baltic dry index," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1540-1565, December.
    59. K. B. S. Huth & L. J. Waldorp & J. Luigjes & A. E. Goudriaan & R. J. Holst & M. Marsman, 2022. "A Note on the Structural Change Test in Highly Parameterized Psychometric Models," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1064-1080, September.
    60. Erik Bengtsson, 2014. "Labour's share in twentieth-century Sweden: a reinterpretation," Scandinavian Economic History Review, Taylor & Francis Journals, vol. 62(3), pages 290-314, November.
    61. Guglielmo Lione & Francesca Brescia & Luana Giordano & Paolo Gonthier, 2022. "Effects of Seasonality and Climate on the Propagule Deposition Patterns of the Chestnut Blight Pathogen Cryphonectria parasitica in Orchards of the Alpine District of North Western Italy," Agriculture, MDPI, vol. 12(5), pages 1-24, April.
    62. Abhijit Sharma & Kelvin G Balcombe & Iain M Fraser, 2009. "Non-renewable resource prices: Structural breaks and long term trends," Economics Bulletin, AccessEcon, vol. 29(2), pages 805-819.
    63. Youyi Fong & Chongzhi Di & Ying Huang & Peter B. Gilbert, 2017. "Model-robust inference for continuous threshold regression models," Biometrics, The International Biometric Society, vol. 73(2), pages 452-462, June.
    64. Nolan, James & Laulederkind, Zoe, 2022. "Plane to see? Empirical Analysis of the 1999-2006 Air Cargo Cartel," Miscellaneous Publications 329694, University of Saskatchewan, Department of Bioresource Policy Business and Economics.
    65. Jan Verbesselt & Achim Zeileis & Martin Herold, 2011. "Near Real-Time Disturbance Detection in Terrestrial Ecosystems Using Satellite Image Time Series: Drought Detection in Somalia," Working Papers 2011-18, Faculty of Economics and Statistics, Universität Innsbruck.
    66. Patrik Nosil & Zachariah Gompert & Daniel J. Funk, 2024. "Divergent dynamics of sexual and habitat isolation at the transition between stick insect populations and species," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    67. Vijay A Murik, 2013. "Measuring monetary policy expectations," Australian Journal of Management, Australian School of Business, vol. 38(1), pages 49-65, April.
    68. Dean Fantazzini, 2014. "Nowcasting and Forecasting the Monthly Food Stamps Data in the US Using Online Search Data," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-27, November.
    69. S. Avouyi-Dovi & G. Horny & P. Sevestre, 2015. "The stability of short-term interest rates pass-through in the euro area during the financial market and sovereign debt crises," Working papers 547, Banque de France.
    70. Zeileis, Achim & Koenker, Roger, 2008. "Econometrics in R: Past, Present, and Future," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i01).
    71. Tighe, Kara & Piggott, Nicholas & Nicholas, Oscar & Mounter, Stuart & Villano, Renato, 2019. "Testing for pre-committed quantities of Australian meat demand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 60(2), April.
    72. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    73. Cremaschini, Alessandro & Maruotti, Antonello, 2023. "A finite mixture analysis of structural breaks in the G-7 gross domestic product series," Research in Economics, Elsevier, vol. 77(1), pages 76-90.
    74. Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
    75. Eric Ruggieri, 2018. "A pruned recursive solution to the multiple change point problem," Computational Statistics, Springer, vol. 33(2), pages 1017-1045, June.
    76. Killick, Rebecca & Eckley, Idris A., 2014. "changepoint: An R Package for Changepoint Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i03).
    77. Alessia Naccarato & Andrea Pierini & Stefano Falorsi, 2015. "Using Google Trend Data To Predict The Italian Unemployment Rate," Departmental Working Papers of Economics - University 'Roma Tre' 0203, Department of Economics - University Roma Tre.
    78. Marques, André M. & Lima, Gilberto Tadeu, 2022. "Testing for Granger causality in quantiles between the wage share in income and productive capacity utilization," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 290-312.
    79. Thomas Windberger & Achim Zeileis, 2011. "Structural Breaks in Inflation Dynamics within the European Monetary Union," Working Papers 2011-12, Faculty of Economics and Statistics, Universität Innsbruck.
    80. Tenkorang, Frank & Dority, Bree L. & Bridges, Deborah & Lam, Eddery, 2015. "Relationship between ethanol and gasoline: AIDS approach," Energy Economics, Elsevier, vol. 50(C), pages 63-69.
    81. Zeileis, Achim, 2006. "Implementing a class of structural change tests: An econometric computing approach," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 2987-3008, July.
    82. Sinclair Davidson & Ashton de Silva, 2018. "Did Recent Tobacco Reforms Change the Cigarette Market?," Economic Papers, The Economic Society of Australia, vol. 37(1), pages 55-74, March.
    83. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    84. Montcho, Marthe & Padonou, Elie A. & Montcho, Marlise & Mutua, Meshack N. & Bayen, Phillip, 2023. "Impact of land tenure on livelihoods of women livestock-keepers in Burkina Faso," Land Use Policy, Elsevier, vol. 133(C).
    85. Edgar Merkle & Achim Zeileis, 2013. "Tests of Measurement Invariance Without Subgroups: A Generalization of Classical Methods," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 59-82, January.
    86. Amey Sapre, 2014. "Madhya Pradesh: Does Agriculture Determine the State’s Growth Trajectory?," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 8(1), pages 39-57, February.
    87. Maderitsch, R., 2015. "Information transmission between stock markets in Hong Kong, Europe and the US: New evidence on time- and state-dependence," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 13-36.
    88. Haydar Demirhan, 2020. "dLagM: An R package for distributed lag models and ARDL bounds testing," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-23, February.
    89. Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle, 2022. "Computation and application of generalized linear mixed model derivatives using lme4," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1173-1193, September.
    90. Juli Pausas & Santiago Fernández-Muñoz, 2012. "Fire regime changes in the Western Mediterranean Basin: from fuel-limited to drought-driven fire regime," Climatic Change, Springer, vol. 110(1), pages 215-226, January.
    91. Edoardo Rainone, 2021. "Identifying deposits' outflows in real-time," Temi di discussione (Economic working papers) 1319, Bank of Italy, Economic Research and International Relations Area.
    92. Achim Zeileis, 2004. "Alternative boundaries for CUSUM tests," Statistical Papers, Springer, vol. 45(1), pages 123-131, January.
    93. Nitu Sharma & S. Dharmaraja & Viswanathan Arunachalam, 2021. "A Time Series Framework for Pricing Guaranteed Lifelong Withdrawal Benefit," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1225-1261, December.
    94. Lindeløv, Jonas Kristoffer, 2020. "mcp: An R Package for Regression With Multiple Change Points," OSF Preprints fzqxv, Center for Open Science.
    95. Rui Qiang & Eric Ruggieri, 2023. "Autocorrelation and Parameter Estimation in a Bayesian Change Point Model," Mathematics, MDPI, vol. 11(5), pages 1-22, February.
    96. Lorenzo Escot & Julio E. Sandubete & Łukasz Pietrych, 2023. "Detecting Structural Changes in Time Series by Using the BDS Test Recursively: An Application to COVID-19 Effects on International Stock Markets," Mathematics, MDPI, vol. 11(23), pages 1-18, December.
    97. Salmon, Maëlle & Schumacher, Dirk & Höhle, Michael, 2016. "Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i10).
    98. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.
    99. Emily Zimmerman & Thomas Carpenito & Alaina Martens, 2020. "Changes in infant non-nutritive sucking throughout a suck sample at 3-months of age," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-14, July.
    100. Brester, Gary W. & Swanser, Kole & Crosby, Brett, 2020. "Adding Weight to a Thinning Live Cattle Market," MSU Staff Papers 305569, Montana State University > Department of Agricultural Economics and Economics.
    101. Luca Frigau & Maurizio Romano & Marco Ortu & Giulia Contu, 2023. "Semi-supervised sentiment clustering on natural language texts," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1239-1257, October.
    102. Pfaff, Bernhard, 2008. "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i04).
    103. Carsten J. Crede, 2015. "A structural break cartel screen for dating and detecting collusion," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2015-11, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    104. Eduardo Rosas Rojas & Mónica C. Mimbrera Delgado, 2018. "Inflación y volatilidad cambiaria en México (1969-2017)," Ensayos de Economía 17297, Universidad Nacional de Colombia Sede Medellín.
    105. Declerck , Francis & Indjehagopian , Jean-Pierre & Bellocq , Flavien, 2015. "Relation entre le prix du pétrole et les cours boursiers des grandes compagnies pétrolières mondiales," ESSEC Working Papers WP1504, ESSEC Research Center, ESSEC Business School.
    106. Iraj Daizadeh, 2021. "Seasonal and Secular Periodicities Identified in the Dynamics of US FDA Medical Devices (1976 2020) Portends Intrinsic Industrial Transformation and Independence of Certain Crises," Papers 2107.05347, arXiv.org, revised Aug 2021.
    107. Marco Gallegati & Mauro Gallegati & James B. Ramsey & Willi Semmler, 2017. "Long waves in prices: new evidence from wavelet analysis," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(1), pages 127-151, January.
    108. Zeileis, Achim & Kleiber, Christian & Krämer, Walter & Hornik, Kurt, 2002. "Testing and dating of structural changes in practice," Technical Reports 2002,39, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    109. John M. Fry & Baoying Lai & Mark Rhodes, 2011. "The interdependence of Coffee spot and futures market," Working Papers 2011.1, International Network for Economic Research - INFER.
    110. Jung, R.C. & Maderitsch, R., 2014. "Structural breaks in volatility spillovers between international financial markets: Contagion or mere interdependence?," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 331-342.
    111. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2020. "Multifractal Analysis of Market Efficiency across Structural Breaks: Implications for the Adaptive Market Hypothesis," JRFM, MDPI, vol. 13(10), pages 1-18, October.
    112. Aurelio Fernández Bariviera & M. Belén Guercio & Lisana B. Martinez, 2014. "Informational Efficiency in Distressed Markets: The Case of European Corporate Bonds," The Economic and Social Review, Economic and Social Studies, vol. 45(3), pages 349-369.
    113. Iraj Daizadeh, 2020. "Trademark filings and patent application count time series are structurally near-identical and cointegrated: Implications for studies in innovation," Papers 2012.10400, arXiv.org.
    114. Yi-Hsuan Lee & Alina Davier, 2013. "Monitoring Scale Scores over Time via Quality Control Charts, Model-Based Approaches, and Time Series Techniques," Psychometrika, Springer;The Psychometric Society, vol. 78(3), pages 557-575, July.
    115. Jin, Xuejun & Zhu, Keer & Yang, Xiaolan & Wang, Shouyang, 2021. "Estimating the reaction of Bitcoin prices to the uncertainty of fiat currency," Research in International Business and Finance, Elsevier, vol. 58(C).
    116. Job Nmadu & Ezekiel Yisa & Usman Mohammed & Halima Sallawu & Yebosoko Nmadu & Sokoyami Nmadu, 2022. "Structural Analysis and Forecast of Nigerian Monthly Inflation Movement between 1996 and 2022," RAIS Conference Proceedings 2022-2023 0211, Research Association for Interdisciplinary Studies.
    117. Erdman, Chandra & Emerson, John W., 2007. "bcp: An R Package for Performing a Bayesian Analysis of Change Point Problems," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i03).
    118. Fryzlewicz, Piotr, 2020. "Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection," LSE Research Online Documents on Economics 103430, London School of Economics and Political Science, LSE Library.
    119. Ward, Jason K. & Griffin, Terry W. & Jordan, David L. & Roberson, Gary T., 2020. "Working for Peanuts: Acquiring, Analyzing, and Visualizing Publicly Available Data," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2020.
    120. Russell P. Robins & Geoffrey Peter Smith, 2020. "Selection bias and pseudo discoveries on the constancy of stock return anomalies," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1407-1426, November.
    121. Anttila, Juho, 2018. "Measuring the effects of conventional and unconventional monetary policy in the euro area," Bank of Finland Research Discussion Papers 12/2018, Bank of Finland.
    122. João Sousa Andrade & Adelaide Duarte & Marta Simões, 2011. "Inequality and Growth in Portugal: a time series analysis," GEMF Working Papers 2011-11, GEMF, Faculty of Economics, University of Coimbra.
    123. Nora M. Villanueva & Marta Sestelo & Miguel M. Fonseca & Javier Roca-Pardiñas, 2023. "seq2R: An R Package to Detect Change Points in DNA Sequences," Mathematics, MDPI, vol. 11(10), pages 1-20, May.
    124. Achim Zeileis & Torsten Hothorn, 2013. "A toolbox of permutation tests for structural change," Statistical Papers, Springer, vol. 54(4), pages 931-954, November.
    125. Pal, Debdatta & Sapre, Amey, 2010. "How have Government Policies Driven Rural Credit in India: A Brief Empirical Analysis, 1969-2009," IIMA Working Papers WP2010-12-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    126. Afflatet, Nicolas, 2014. "European Monetary Policy in the Heterogeneous Currency Area and the Open Question of Convergence," EconStor Preprints 93382, ZBW - Leibniz Information Centre for Economics.
    127. Bennihi, Aymen Salah & Bouriche, Lahcene & Schneider, Friedrich, 2021. "The informal economy in Algeria: New insights using the MIMIC approach and the interaction with the formal economy," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 470-491.
    128. Fabio Clementi & Marco Gallegati & Mauro Gallegati, 2015. "Growth and Cycles of the Italian Economy Since 1861: The New Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 25-59, March.

  28. Zeileis, Achim, 2001. "p values and alternative boundaries for CUSUM tests," Technical Reports 2001,02, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

    Cited by:

    1. Povilas Lastauskas & Julius Stakenas, 2016. "Openness and Structural Labour Market Reforms: Counterfactuals for Lithuania," Bank of Lithuania Discussion Paper Series 1, Bank of Lithuania.

Articles

  1. Martin Wagner & Achim Zeileis, 2019. "Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach," German Economic Review, Verein für Socialpolitik, vol. 20(1), pages 67-82, February.

    Cited by:

    1. Smirnykh, Larisa & Wörgötter, Andreas, 2021. "Regional convergence in CEE before and after the Global Financial Crisis," ECON WPS - Working Papers in Economic Theory and Policy 03/2021, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    2. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    3. KYDROS Dimitrios & FILENTA Pagona, 2022. "Literature Review of Economic and Regional Development through Quantitative Methods and Social Network Analysis," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    4. Avner Bar-Hen & Servane Gey & Jean-Michel Poggi, 2021. "Spatial CART classification trees," Computational Statistics, Springer, vol. 36(4), pages 2591-2613, December.
    5. Ke Ji & Jinjun Tang & Min Li & Cheng Hu, 2023. "Distributed Traffic Control Based on Road Network Partitioning Using Normalization Algorithm," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    6. Cristian Barra & Nazzareno Ruggiero, 2022. "How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 591-642, April.

  2. Heidi Seibold & Torsten Hothorn & Achim Zeileis, 2019. "Generalised linear model trees with global additive effects," 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 703-725, September.

    Cited by:

    1. Manlio Migliorati & Marica Manisera & Paola Zuccolotto, 2023. "Integration of model-based recursive partitioning with bias reduction estimation: a case study assessing the impact of Oliver’s four factors on the probability of winning a basketball game," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 271-293, March.
    2. Anna Gottard & Giulia Vannucci & Leonardo Grilli & Carla Rampichini, 2023. "Mixed-effect models with trees," 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. 17(2), pages 431-461, June.

  3. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.

    Cited by:

    1. K. B. S. Huth & L. J. Waldorp & J. Luigjes & A. E. Goudriaan & R. J. Holst & M. Marsman, 2022. "A Note on the Structural Change Test in Highly Parameterized Psychometric Models," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1064-1080, September.
    2. Jeanne A. Teresi & Chun Wang & Marjorie Kleinman & Richard N. Jones & David J. Weiss, 2021. "Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 674-711, September.
    3. Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle, 2022. "Computation and application of generalized linear mixed model derivatives using lme4," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1173-1193, September.

  4. Michel Philipp & Carolin Strobl & Jimmy de la Torre & Achim Zeileis, 2018. "On the Estimation of Standard Errors in Cognitive Diagnosis Models," Journal of Educational and Behavioral Statistics, , vol. 43(1), pages 88-115, February.
    See citations under working paper version above.
  5. Susanne Berger & Herbert Stocker & Achim Zeileis, 2017. "Innovation and institutional ownership revisited: an empirical investigation with count data models," Empirical Economics, Springer, vol. 52(4), pages 1675-1688, June.
    See citations under working paper version above.
  6. Seibold Heidi & Hothorn Torsten & Zeileis Achim, 2016. "Model-Based Recursive Partitioning for Subgroup Analyses," The International Journal of Biostatistics, De Gruyter, vol. 12(1), pages 45-63, May.

    Cited by:

    1. Jones, Payton J. & Mair, Patrick & Simon, Thorsten & Zeileis, Achim, 2019. "Network Model Trees," OSF Preprints ha4cw, Center for Open Science.
    2. Alexander J. Ohnmacht & Arndt Stahler & Sebastian Stintzing & Dominik P. Modest & Julian W. Holch & C. Benedikt Westphalen & Linus Hölzel & Marisa K. Schübel & Ana Galhoz & Ali Farnoud & Minhaz Ud-Dea, 2023. "The Oncology Biomarker Discovery framework reveals cetuximab and bevacizumab response patterns in metastatic colorectal cancer," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    3. Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis, 2020. "Network Trees: A Method for Recursively Partitioning Covariance Structures," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 926-945, December.
    4. Cynthia Huber & Norbert Benda & Tim Friede, 2022. "Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning," 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. 16(3), pages 797-815, September.
    5. Vrontis, Demetris & Morea, Donato & Basile, Gianpaolo & Bonacci, Isabella & Mazzitelli, Andrea, 2021. "Consequences of technology and social innovation on traditional business model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    6. Heidi Seibold & Torsten Hothorn & Achim Zeileis, 2019. "Generalised linear model trees with global additive effects," 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 703-725, September.
    7. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.

  7. Christian Kleiber & Achim Zeileis, 2016. "Visualizing Count Data Regressions Using Rootograms," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 296-303, July.
    See citations under working paper version above.
  8. Umlauf, Nikolaus & Adler, Daniel & Kneib, Thomas & Lang, Stefan & Zeileis, Achim, 2015. "Structured Additive Regression Models: An R Interface to BayesX," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i21).
    See citations under working paper version above.
  9. Glätzle-Rützler, Daniela & Sutter, Matthias & Zeileis, Achim, 2015. "No myopic loss aversion in adolescents? – An experimental note," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 169-176.
    See citations under working paper version above.
  10. Carolin Strobl & Julia Kopf & Achim Zeileis, 2015. "Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 289-316, June.

    Cited by:

    1. Cervantes, Víctor H., 2017. "DFIT: An R Package for Raju's Differential Functioning of Items and Tests Framework," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i05).
    2. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2016. "Score-Based Tests of Differential Item Functioning in the Two-Parameter Model," Working Papers 2016-05, Faculty of Economics and Statistics, Universität Innsbruck.
    3. Jones, Payton J. & Mair, Patrick & Simon, Thorsten & Zeileis, Achim, 2019. "Network Model Trees," OSF Preprints ha4cw, Center for Open Science.
    4. K. B. S. Huth & L. J. Waldorp & J. Luigjes & A. E. Goudriaan & R. J. Holst & M. Marsman, 2022. "A Note on the Structural Change Test in Highly Parameterized Psychometric Models," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1064-1080, September.
    5. Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis, 2020. "Network Trees: A Method for Recursively Partitioning Covariance Structures," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 926-945, December.
    6. Jeanne A. Teresi & Chun Wang & Marjorie Kleinman & Richard N. Jones & David J. Weiss, 2021. "Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 674-711, September.
    7. Gerhard Tutz & Moritz Berger, 2016. "Item-focussed Trees for the Identification of Items in Differential Item Functioning," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 727-750, September.
    8. Chen, Yunxiao & Li, Chengcheng & Ouyang, Jing & Xu, Gongjun, 2023. "DIF statistical inference without knowing anchoring items," LSE Research Online Documents on Economics 119923, London School of Economics and Political Science, LSE Library.
    9. Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle, 2022. "Computation and application of generalized linear mixed model derivatives using lme4," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1173-1193, September.
    10. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.
    11. Florian Wickelmaier & Achim Zeileis, 2016. "Using Recursive Partitioning to Account for Parameter Heterogeneity in Multinomial Processing Tree Models," Working Papers 2016-26, Faculty of Economics and Statistics, Universität Innsbruck.
    12. Ke-Hai Yuan & Hongyun Liu & Yuting Han, 2021. "Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 345-377, June.

  11. Grubinger, Thomas & Zeileis, Achim & Pfeiffer, Karl-Peter, 2014. "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i01).
    See citations under working paper version above.
  12. Edgar Merkle & Jinyan Fan & Achim Zeileis, 2014. "Testing for Measurement Invariance with Respect to an Ordinal Variable," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 569-584, October.
    See citations under working paper version above.
  13. Achim Zeileis & Torsten Hothorn, 2013. "A toolbox of permutation tests for structural change," Statistical Papers, Springer, vol. 54(4), pages 931-954, November.

    Cited by:

    1. Max Wornowizki & Roland Fried, 2016. "Two-sample homogeneity tests based on divergence measures," Computational Statistics, Springer, vol. 31(1), pages 291-313, March.
    2. K. B. S. Huth & L. J. Waldorp & J. Luigjes & A. E. Goudriaan & R. J. Holst & M. Marsman, 2022. "A Note on the Structural Change Test in Highly Parameterized Psychometric Models," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1064-1080, September.
    3. Martin Wagner & Achim Zeileis, 2019. "Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach," German Economic Review, Verein für Socialpolitik, vol. 20(1), pages 67-82, February.
    4. Yang Yi & Le Wen & Shan He, 2022. "Partitioning for “Common but Differentiated” Precise Air Pollution Governance: A Combined Machine Learning and Spatial Econometric Approach," Energies, MDPI, vol. 15(9), pages 1-23, May.

  14. Edgar Merkle & Achim Zeileis, 2013. "Tests of Measurement Invariance Without Subgroups: A Generalization of Classical Methods," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 59-82, January.

    Cited by:

    1. Gerhard Tutz & Gunther Schauberger, 2015. "A Penalty Approach to Differential Item Functioning in Rasch Models," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 21-43, March.
    2. Peter M. Bentler, 2016. "Covariate-free and Covariate-dependent Reliability," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 907-920, December.
    3. Jones, Payton J. & Mair, Patrick & Simon, Thorsten & Zeileis, Achim, 2019. "Network Model Trees," OSF Preprints ha4cw, Center for Open Science.
    4. Edgar Merkle & Jinyan Fan & Achim Zeileis, 2014. "Testing for Measurement Invariance with Respect to an Ordinal Variable," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 569-584, October.
    5. Satoshi Usami & Ross Jacobucci & Timothy Hayes, 2019. "The performance of latent growth curve model-based structural equation model trees to uncover population heterogeneity in growth trajectories," Computational Statistics, Springer, vol. 34(1), pages 1-22, March.
    6. Dylan Molenaar, 2015. "Heteroscedastic Latent Trait Models for Dichotomous Data," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 625-644, September.
    7. K. B. S. Huth & L. J. Waldorp & J. Luigjes & A. E. Goudriaan & R. J. Holst & M. Marsman, 2022. "A Note on the Structural Change Test in Highly Parameterized Psychometric Models," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1064-1080, September.
    8. Carolin Strobl & Julia Kopf & Achim Zeileis, 2015. "Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 289-316, June.
    9. Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis, 2020. "Network Trees: A Method for Recursively Partitioning Covariance Structures," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 926-945, December.
    10. Felix Zimmer & Clemens Draxler & Rudolf Debelak, 2023. "Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT," Psychometrika, Springer;The Psychometric Society, vol. 88(4), pages 1249-1298, December.
    11. Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle, 2022. "Computation and application of generalized linear mixed model derivatives using lme4," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1173-1193, September.
    12. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.

  15. Kleiber Christian & Zeileis Achim, 2013. "Reproducible Econometric Simulations," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 89-99, July.
    See citations under working paper version above.
  16. Wickelmaier, Florian & Strobl, Carolin & Zeileis, Achim, 2012. "Psychoco: Psychometric Computing in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i01).

    Cited by:

    1. Mazza, Angelo & Punzo, Antonio & McGuire, Brian, 2014. "KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i06).

  17. Grün, Bettina & Kosmidis, Ioannis & Zeileis, Achim, 2012. "Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i11).
    See citations under working paper version above.
  18. Frick, Hannah & Strobl, Carolin & Leisch, Friedrich & Zeileis, Achim, 2012. "Flexible Rasch Mixture Models with Package psychomix," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i07).
    See citations under working paper version above.
  19. Christian Kleiber & Achim Zeileis, 2010. "The Grunfeld Data at 50," German Economic Review, Verein für Socialpolitik, vol. 11(4), pages 404-417, November.
    See citations under working paper version above.
  20. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).

    Cited by:

    1. Tom Broekel & Ron Boschma, 2011. "The cognitive and geographical composition of ego-networks of firms – and how they impact on their innovation performance," Papers in Evolutionary Economic Geography (PEEG) 1118, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2011.
    2. Pablo Mitnik & Sunyoung Baek, 2013. "The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation," Statistical Papers, Springer, vol. 54(1), pages 177-192, February.
    3. Johnson, Caroline A. & Flage, Roger & Guikema, Seth D., 2019. "Characterising the robustness of coupled power-law networks," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    4. Antonio Calcagnì & Luigi Lombardi, 2022. "Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 145-173, March.
    5. Artur J. Lemonte & Germán Moreno-Arenas, 2020. "On a heavy-tailed parametric quantile regression model for limited range response variables," Computational Statistics, Springer, vol. 35(1), pages 379-398, March.
    6. Paulus, Anne & Hagemann, Nina & Baaken, Marieke C. & Roilo, Stephanie & Alarcón-Segura, Viviana & Cord, Anna F. & Beckmann, Michael, 2022. "Landscape context and farm characteristics are key to farmers' adoption of agri-environmental schemes," Land Use Policy, Elsevier, vol. 121(C).
    7. Edouard Civel & Nathaly Cruz-Garcia, 2018. "Green, yellow or red lemons? Framed field experiment on houses energy labels perception," EconomiX Working Papers 2018-35, University of Paris Nanterre, EconomiX.
    8. Carlos Mendez & John Bachtler, 2017. "Financial Compliance in the European Union: A Cross-National Assessment of Financial Correction Patterns and Causes in Cohesion Policy," Journal of Common Market Studies, Wiley Blackwell, vol. 55(3), pages 569-592, May.
    9. Souza, Tatiene C. & Cribari–Neto, Francisco, 2018. "Intelligence and religious disbelief in the United States," Intelligence, Elsevier, vol. 68(C), pages 48-57.
    10. Edouard Civel & Nathaly Cruz-Garcia, 2018. "Green, yellow or red lemons? Framed field experiment on houses energy labels perception," Working Papers hal-04141696, HAL.
    11. Barbiero, Tommaso & Grillenzoni, Carlo, 2019. "A statistical analysis of the energy effectiveness of building refurbishment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    12. Barry Eichengreen & Michael R. Haines & Matthew S. Jaremski & David Leblang, 2017. "Populists at the Polls: Economic Factors in the 1896 Presidential Election," NBER Working Papers 23932, National Bureau of Economic Research, Inc.
    13. Tien D. N. Ho & John K. M. Kuwornu & Takuji W. Tsusaka, 2022. "Factors Influencing Smallholder Rice Farmers’ Vulnerability to Climate Change and Variability in the Mekong Delta Region of Vietnam," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(1), pages 272-302, February.
    14. Ameztegui, Aitor & Coll, Lluís & Messier, Christian, 2015. "Modelling the effect of climate-induced changes in recruitment and juvenile growth on mixed-forest dynamics: The case of montane–subalpine Pyrenean ecotones," Ecological Modelling, Elsevier, vol. 313(C), pages 84-93.
    15. Kiziridis, Diogenis A. & Mastrogianni, Anna & Pleniou, Magdalini & Tsiftsis, Spyros & Xystrakis, Fotios & Tsiripidis, Ioannis, 2023. "Improving the predictive performance of CLUE-S by extending demand to land transitions: The trans-CLUE-S model," Ecological Modelling, Elsevier, vol. 478(C).
    16. Gerhard Schnyder & Centre for Business Research, 2018. "Investigating New Types of 'Decoupling': Minority Shareholder Protection in the Law & Corporate Practice," Working Papers wp502, Centre for Business Research, University of Cambridge.
    17. Achim Zeileis & Yves Croissant, 2010. "Extended Model Formulas in R : Multiple Parts and Multiple Responses," Post-Print hal-01245303, HAL.
    18. Francesca Gastaldi & EugenioPalmieri & Maria Grazia Pazienza & Fiorenza Venturini, 2021. "Mitigare i divari regionali negli investimenti: un?analisi del credito di imposta per il Mezzogiorno," PRISMA Economia - Societ? - Lavoro, FrancoAngeli Editore, vol. 2021(1-2), pages 38-63.
    19. Ramya Potabattula & Marcus Dittrich & Martin Schorsch & Thomas Hahn & Thomas Haaf & Nady El Hajj, 2019. "Male obesity effects on sperm and next-generation cord blood DNA methylation," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-13, June.
    20. Xialong Ji & Andrew D. Gronewold & Houraa Daher & Richard B. Rood, 2019. "Modeling seasonal onset of coastal ice," Climatic Change, Springer, vol. 154(1), pages 125-141, May.
    21. Bettina Grün & Ioannis Kosmidis & Achim Zeileis, 2011. "Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned," Working Papers 2011-22, Faculty of Economics and Statistics, Universität Innsbruck.
    22. Edouard Civel & Nathaly Cruz, 2018. "Green, yellow or red lemons? Artefactual field experiment on houses energy labels perception," Working Papers 1809, Chaire Economie du climat.
    23. Aarón Garavito A. & Ana María Iregui B. & María Teresa Ramírez G., 2012. "Determinantes de la inversión extranjera directa en Colombia: Un estudio a nivel de firma," Borradores de Economia 714, Banco de la Republica de Colombia.
    24. Jodrá, P. & Jiménez-Gamero, M.D., 2016. "A note on the Log-Lindley distribution," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 189-194.
    25. Xavier May & Thomas Ermans & Nils Hooftman, 2019. "Les voitures de société : diagnostics et enjeux d’un régime fiscal," ULB Institutional Repository 2013/301876, ULB -- Universite Libre de Bruxelles.
    26. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," Research Policy, Elsevier, vol. 52(10).
    27. Chen, Kee Kuo & Chiu, Rong-Her & Chang, Ching-Ter, 2017. "Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 1-16.
    28. Reetz, Sunny W.H. & Schwarze, Stefan & Brümmer, Bernhard, 2012. "Poverty and Tropical Deforestation by Smallholders in Forest Margin Areas: Evidence from Central Sulawesi, Indonesia," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126326, International Association of Agricultural Economists.
    29. Buschle, Julius & Anatolitis, Vasilios & Plötz, Patrick, 2024. "Empirical evidence on discrimination in multi-technology renewable energy auctions in Europe," Energy Policy, Elsevier, vol. 184(C).
    30. J. M. Muñoz-Pichardo & J. L. Moreno-Rebollo & R. Pino-Mejías & M. D. Cubiles Vega, 2019. "Influence measures in beta regression models through distance between distributions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(2), pages 163-185, June.
    31. Mesfin G. Genie & Mandy Ryan & Nicolas Krucien, 2023. "Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1101-1119, May.
    32. Siddique, Choudhury & Afifah, Fatima & Guo, Zhaomiao & Zhou, Yan, 2022. "Data mining of plug-in electric vehicles charging behavior using supply-side data," Energy Policy, Elsevier, vol. 161(C).
    33. Barrientos, Andrés F. & Canale, Antonio, 2021. "A Bayesian goodness-of-fit test for regression," Computational Statistics & Data Analysis, Elsevier, vol. 155(C).
    34. Jerzy P. Rydlewski & Daniel Kosiorowski, 2019. "Beta-regression application to model relationships between the unemployment rate in voivodships and other macroeconomic indicators for the years 2004–2018," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 55, pages 55-68.
    35. Collier, Benjamin, 2013. "Exclusive finance: How unmanaged systemic risk continues to limit financial services for the poor in a booming sector," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150433, Agricultural and Applied Economics Association.
    36. Philip A Powell & Olivia Wills & Gemma Reynolds & Kaisa Puustinen-Hopper & Jennifer Roberts, 2018. "The effects of exposure to images of others' suffering and vulnerability on altruistic, trust-based, and reciprocated economic decision-making," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-18, March.
    37. LaRocca, Sarah & Guikema, Seth D., 2015. "Characterizing and predicting the robustness of power-law networks," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 157-166.
    38. Luca Scrucca, 2022. "A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 881-900, October.
    39. López Prol, Javier & Zilberman, David, 2023. "No alarms and no surprises: Dynamics of renewable energy curtailment in California," Energy Economics, Elsevier, vol. 126(C).
    40. Tariq Maqsood & Mark Edwards & Ioanna Ioannou & Ioannis Kosmidis & Tiziana Rossetto & Neil Corby, 2016. "Seismic vulnerability functions for Australian buildings by using GEM empirical vulnerability assessment guidelines," 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. 80(3), pages 1625-1650, February.
    41. Yiyun Shou & Michael Smithson, 2015. "Evaluating Predictors of Dispersion: A Comparison of Dominance Analysis and Bayesian Model Averaging," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 236-256, March.
    42. Steven B Kim & Dong Sub Kim & Xiaoming Mo, 2021. "An image segmentation technique with statistical strategies for pesticide efficacy assessment," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-12, March.
    43. Massimiliano Castellani & Pierpaolo Pattitoni & Antonello Eugenio Scorcu, 2012. "Visual artist price heterogeneity," Economics and Business Letters, Oviedo University Press, vol. 1(3), pages 16-22.
    44. Moira Kelly & Frank Pasmans & Jose F. Muñoz & Terrance P. Shea & Salvador Carranza & Christina A. Cuomo & An Martel, 2021. "Diversity, multifaceted evolution, and facultative saprotrophism in the European Batrachochytrium salamandrivorans epidemic," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    45. Jillian M Rung & Leonard H Epstein, 2020. "Translating episodic future thinking manipulations for clinical use: Development of a clinical control," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    46. Garavito-Acosta, Aarón Levi & Iregui-Bohórquez, Ana María & Ramírez-Giraldo, María Teresa, 2013. "Inversión extranjera directa en Colombia : evolución, indicadores y determinantes por firma," Chapters, in: Rincón-Castro, Hernán & Velasco, Andrés M. (ed.), Flujos de capitales, choques externos y respuestas de política en países emergentes, chapter 3, pages 83-136, Banco de la Republica de Colombia.
    47. Zamparini, Luca & Vergori, Anna Serena, 2021. "Sustainable mobility at tourist destinations: The relevance of habits and the role of policies," Journal of Transport Geography, Elsevier, vol. 93(C).
    48. Papaïx, Julien & Touzeau, Suzanne & Monod, Hervé & Lannou, Christian, 2014. "Can epidemic control be achieved by altering landscape connectivity in agricultural systems?," Ecological Modelling, Elsevier, vol. 284(C), pages 35-47.
    49. Patrícia Espinheira & Silvia Ferrari & Francisco Cribari-Neto, 2014. "Bootstrap prediction intervals in beta regressions," Computational Statistics, Springer, vol. 29(5), pages 1263-1277, October.
    50. Liu, Chenhui & Lu, Chaoru & Wang, Shefang & Sharma, Anuj & Shaw, John, 2019. "A longitudinal analysis of the effectiveness of California’s ban on cellphone use while driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 456-467.
    51. Aarón Garavito A. & Ana María Iregui B. & María Teresa Ramírez G., 2012. "Determinantes de la inversión extranjera directa en Colombia: Un estudio a nivel de firma," Borradores de Economia 9672, Banco de la Republica.
    52. Edward Kerby & Alexander Moradi & Hanjo Odendaal, 2022. "African time travellers: what can we learn from 500 years of written accounts?," Oxford Economic and Social History Working Papers _201, University of Oxford, Department of Economics.
    53. Francesco Giovinazzi & Daniela Cocchi, 2022. "Social Integration of Second Generation Students in the Italian School System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(1), pages 287-307, February.
    54. Guillermo Martínez-Flórez & Rafael B. Azevedo-Farias & Roger Tovar-Falón, 2022. "New Class of Unit-Power-Skew-Normal Distribution and Its Associated Regression Model for Bounded Responses," Mathematics, MDPI, vol. 10(17), pages 1-24, August.
    55. Tariq Maqsood & Mark Edwards & Ioanna Ioannou & Ioannis Kosmidis & Tiziana Rossetto & Neil Corby, 2016. "Seismic vulnerability functions for Australian buildings by using GEM empirical vulnerability assessment guidelines," 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. 80(3), pages 1625-1650, February.
    56. Zhang, Dengjun & Xie, Yifan, 2022. "Customer environmental concerns and profit margin: Evidence from manufacturing firms," Journal of Economics and Business, Elsevier, vol. 120(C).
    57. Zhou, Haiming & Huang, Xianzheng, 2022. "Bayesian beta regression for bounded responses with unknown supports," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
    58. Josephine Gatti Schafer & Caleb T Gallemore, 2016. "Biases in multicriteria decision analysis: The case of environmental planning in Southern Nevada," Environment and Planning C, , vol. 34(8), pages 1652-1675, December.
    59. Bondemark, Anders, 2023. "Walk this way how do individuals with different preferences for active travel modes respond to walkability?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    60. Anna Serena Vergori & Serena Arima, 2022. "Transport modes and tourism seasonality in Italy: By air or by road?," Tourism Economics, , vol. 28(3), pages 583-598, May.
    61. Oguz Turkozan & Vasiliki Almpanidou & Can Yılmaz & Antonios D. Mazaris, 2021. "Extreme thermal conditions in sea turtle nests jeopardize reproductive output," Climatic Change, Springer, vol. 167(3), pages 1-16, August.
    62. Seligman, Benjamin & Agarwal, Arunika & Bloom, David E., 2023. "Frailty and socioeconomic stratification in Brazil, India, and China," The Journal of the Economics of Ageing, Elsevier, vol. 25(C).
    63. Gobinda Chowdhury & Kushwanth Koya & Pete Philipson, 2016. "Measuring the Impact of Research: Lessons from the UK’s Research Excellence Framework 2014," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-15, June.
    64. Buntaine, Mark T., 2011. "Does the Asian Development Bank Respond to Past Environmental Performance when Allocating Environmentally Risky Financing?," World Development, Elsevier, vol. 39(3), pages 336-350, March.
    65. Janne-Tuomas Seppänen & Hanna Värri & Irene Ylönen, 2022. "Co-citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3523-3541, June.
    66. Smith, David M. & Faddy, Malcolm J., 2016. "Mean and Variance Modeling of Under- and Overdispersed Count Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i06).
    67. Kim, Jong-Min & Lee, Namgil & Hwang, Sun Young, 2020. "A Copula Nonlinear Granger Causality," Economic Modelling, Elsevier, vol. 88(C), pages 420-430.
    68. Logan C Brooks & David C Farrow & Sangwon Hyun & Ryan J Tibshirani & Roni Rosenfeld, 2015. "Flexible Modeling of Epidemics with an Empirical Bayes Framework," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-18, August.
    69. Sado-Inamura, Yukako & Fukushi, Kensuke, 2019. "Empirical analysis of flood risk perception using historical data in Tokyo," Land Use Policy, Elsevier, vol. 82(C), pages 13-29.
    70. Yukako Sado-Inamura & Kensuke Fukushi, 2018. "Considering Water Quality of Urban Rivers from the Perspectives of Unpleasant Odor," Sustainability, MDPI, vol. 10(3), pages 1-14, February.
    71. Nascimento, Marcela C. & Husson, Berengere & Guillet, Lilia & Pedersen, Torstein, 2023. "Modelling the spatial shifts of functional groups in the Barents Sea using a climate-driven spatial food web model," Ecological Modelling, Elsevier, vol. 481(C).
    72. Ann-Jean C C Beck & Jacobien M Kieffer & Valesca P Retèl & Lydia F J van Overveld & Robert P Takes & Michiel W M van den Brekel & Wim H van Harten & Martijn M Stuiver, 2019. "Mapping the EORTC QLQ-C30 and QLQ-H&N35 to the EQ-5D for head and neck cancer: Can disease-specific utilities be obtained?," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    73. Namin, S. & Xu, W. & Zhou, Y. & Beyer, K., 2020. "The legacy of the Home Owners’ Loan Corporation and the political ecology of urban trees and air pollution in the United States," Social Science & Medicine, Elsevier, vol. 246(C).
    74. Broekel, Tom & Boschma, Ron, 2017. "The cognitive and geographical structure of knowledge links and how they influence firms’ innovation performance," MPRA Paper 76805, University Library of Munich, Germany.
    75. Oscar Melo & Carlos Melo & Jorge Mateu, 2015. "Distance-based beta regression for prediction of mutual funds," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 83-106, January.
    76. Hall, Rea M. & Penke, Nicole & Kriechbaum, Monika & Kratschmer, Sophie & Jung, Vincent & Chollet, Simon & Guernion, Muriel & Nicolai, Annegret & Burel, Francoise & Fertil, Albin & Lora, Ángel & Sánche, 2020. "Vegetation management intensity and landscape diversity alter plant species richness, functional traits and community composition across European vineyards," Agricultural Systems, Elsevier, vol. 177(C).
    77. Frank A. La Sorte & Alison Johnston & Toby R. Ault, 2021. "Global trends in the frequency and duration of temperature extremes," Climatic Change, Springer, vol. 166(1), pages 1-14, May.
    78. Saraev, Vadim & Valatin, Gregory & Peace, Andrew & Quine, Christopher, 2019. "How does a biodiversity value impact upon optimal rotation length? An investigation using species richness and forest stand age," Forest Policy and Economics, Elsevier, vol. 107(C), pages 1-1.
    79. Aarón Garavito & Ana María Iregui & María Teresa Ramírez, 2014. "An Empirical Examination of the Determinants of Foreign Direct Investment: A Firm-Level Analysis for the Colombian Economy," Revista de Economía del Rosario, Universidad del Rosario, June.
    80. Li-Chu Chien, 2013. "Multiple deletion diagnostics in beta regression models," Computational Statistics, Springer, vol. 28(4), pages 1639-1661, August.
    81. Zichen Ma & Shannon W. Davis & Yen‐Yi Ho, 2023. "Flexible copula model for integrating correlated multi‐omics data from single‐cell experiments," Biometrics, The International Biometric Society, vol. 79(2), pages 1559-1572, June.
    82. Laura Schräpler & Jörg-Peter Schräpler & Gert G. Wagner, 2019. "Wie (in)stabil ist die Lebenszufriedenheit? Eine Sequenzanalyse mit Daten des Sozio-oekonomischen Panels (SOEP)," SOEPpapers on Multidisciplinary Panel Data Research 1045, DIW Berlin, The German Socio-Economic Panel (SOEP).
    83. Hui Ye & Anthony Bellotti, 2019. "Modelling Recovery Rates for Non-Performing Loans," Risks, MDPI, vol. 7(1), pages 1-17, February.
    84. David Ardia & Keven Bluteau & Mohammad Abbas Meghani, 2021. "Thirty Years of Academic Finance," Papers 2112.14902, arXiv.org, revised Aug 2022.
    85. Dengjun Zhang, 2022. "Capacity utilization under credit constraints: A firm‐level study of Latin American manufacturing," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1367-1386, January.
    86. James A Cox & Jessica A Cusick & Emily H DuVal, 2019. "Manipulated sex ratios alter group structure and cooperation in the brown-headed nuthatch," Behavioral Ecology, International Society for Behavioral Ecology, vol. 30(4), pages 883-893.
    87. Cepeda-Cuervo Edilberto & Garrido Liliana, 2015. "Bayesian beta regression models with joint mean and dispersion modeling," Monte Carlo Methods and Applications, De Gruyter, vol. 21(1), pages 49-58, March.
    88. Van Eupen, Camille & Maes, Dirk & Herremans, Marc & Swinnen, Kristijn R.R. & Somers, Ben & Luca, Stijn, 2022. "Species profiles support recommendations for quality filtering of opportunistic citizen science data," Ecological Modelling, Elsevier, vol. 467(C).

  21. Zeileis, Achim & Shah, Ajay & Patnaik, Ila, 2010. "Testing, monitoring, and dating structural changes in exchange rate regimes," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1696-1706, June.

    Cited by:

    1. Jeffrey Frankel & Daniel Xie, 2010. "Estimation of De Facto Flexibility Parameter and Basket Weights in Evolving Exchange Rate Regimes," American Economic Review, American Economic Association, vol. 100(2), pages 568-572, May.
    2. Makram El-Shagi & Sebastian Giesen, 2013. "Testing for Structural Breaks at Unknown Time: A Steeplechase," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 101-123, January.
    3. Sengupta, Rajeswari, 2015. "The Impossible Trinity: Where does India stand?," MPRA Paper 63308, University Library of Munich, Germany.
    4. Thomas Windberger & Jesús Crespo-Cuaresma & Janette Walde, 2012. "Dirty floating and monetary independence in Central and Eastern Europe - The role of structural breaks," Working Papers 2012-21, Faculty of Economics and Statistics, Universität Innsbruck.
    5. Patnaik, Ila & Felman, Joshua & Shah, Ajay, 2017. "An exchange market pressure measure for cross country analysis," Journal of International Money and Finance, Elsevier, vol. 73(PA), pages 62-77.
    6. Patnaik, Ila & Shah, Ajay & Sethy, Anmol & Balasubramaniam, Vimal, 2011. "The exchange rate regime in Asia: From crisis to crisis," International Review of Economics & Finance, Elsevier, vol. 20(1), pages 32-43, January.
    7. Sen Gupta, Abhijit & Sengupta, Rajeswari, 2013. "Management of Capital Flows in India: 1990-2011," MPRA Paper 46217, University Library of Munich, Germany.
    8. Maria Mohr & Natalie Neumeyer, 2021. "Nonparametric volatility change detection," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(2), pages 529-548, June.
    9. Utso Pal Mustafi & Rajeswari Sengupta, 2020. "Regime changes in Indias monetary policy and Tenures of RBI governors," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-011, Indira Gandhi Institute of Development Research, Mumbai, India.
    10. Gao, Yang & Li, Yangyang & Zhao, Chengjie & Wang, Yaojun, 2022. "Risk spillover analysis across worldwide ESG stock markets: New evidence from the frequency-domain," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    11. Tang, Bo, 2014. "Real Exchange Rate and Economic Growth in China: A Cointegrated VAR Approach," MPRA Paper 66087, University Library of Munich, Germany.
    12. Liu, Wei-han, 2018. "Hidden Markov model analysis of extreme behaviors of foreign exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1007-1019.
    13. Piotr Kotlarz & Michael Hanke & Sebastian Stöckl, 2023. "Regime-dependent drivers of the EUR/CHF exchange rate," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-18, December.
    14. Erhard Reschenhofer & David Preinerstorfer & Lukas Steinberger, 2013. "Non-monotonic penalizing for the number of structural breaks," Computational Statistics, Springer, vol. 28(6), pages 2585-2598, December.
    15. Ila Patnaik & Ajay Shah & Nirvikar Singh, 2013. "Foreign Investors under Stress: Evidence From India," International Finance, Wiley Blackwell, vol. 16(2), pages 213-244, June.
    16. Patnaik, Ila & Sengupta, Rajeswari, 2021. "Analysing India's Exchange Rate Regime," Working Papers 21/353, National Institute of Public Finance and Policy.
    17. Aakriti Mathur & Rajeswari Sengupta, 2019. "Analysing monetary policy statements of the Reserve Bank of India," IHEID Working Papers 08-2019, Economics Section, The Graduate Institute of International Studies.
    18. Pagliari, Paulo H. & Ranaivoson, Andry Z. & Strock, Jeffrey S., 2021. "Options for statistical analysis of unreplicated paired design drainage experiments," Agricultural Water Management, Elsevier, vol. 244(C).
    19. Fried, Roland, 2012. "On the online estimation of local constant volatilities," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3080-3090.
    20. Sugandha Huria & Kanika Pathania, 2018. "Dynamics of Food Inflation: Assessing the Role of Intermediaries," Global Business Review, International Management Institute, vol. 19(5), pages 1363-1378, October.
    21. Bhattacharya, Rudrani & Sen Gupta, Abhijit, 2015. "Food Inflation in India: Causes and Consequences," Working Papers 15/151, National Institute of Public Finance and Policy.
    22. Ila Patnaik & Ajay Shah, 2009. "The difficulties of the Chinese and Indian exchange rate regimes," Macroeconomics Working Papers 22975, East Asian Bureau of Economic Research.
    23. Patnaik, Ila & Shah, Ajay, 2010. "Asia confronts the impossible trinity," Working Papers 10/64, National Institute of Public Finance and Policy.
    24. Nidhi Aggarwal & Sanchit Arora & Rajeswari Sengupta, 2021. "Capital account liberalisation in a large emerging economy: An Analysis of onshore-offshore arbitrage," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-013, Indira Gandhi Institute of Development Research, Mumbai, India.
    25. Ila Patnaik & Ajay Shah, 2012. "Did the Indian Capital Controls Work as a Tool of Macroeconomic Policy?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 60(3), pages 439-464, September.
    26. Ajay Shah, 2023. "The journey of Indian finance," Working Papers 25, xKDR.
    27. Jan Verbesselt & Achim Zeileis & Martin Herold, 2011. "Near Real-Time Disturbance Detection in Terrestrial Ecosystems Using Satellite Image Time Series: Drought Detection in Somalia," Working Papers 2011-18, Faculty of Economics and Statistics, Universität Innsbruck.
    28. Kawai, Masahiro & Pontines, Victor, 2016. "Is there really a renminbi bloc in Asia?: A modified Frankel–Wei approach," Journal of International Money and Finance, Elsevier, vol. 62(C), pages 72-97.
    29. Dean Fantazzini, 2014. "Nowcasting and Forecasting the Monthly Food Stamps Data in the US Using Online Search Data," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-27, November.
    30. Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
    31. Killick, Rebecca & Eckley, Idris A., 2014. "changepoint: An R Package for Changepoint Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i03).
    32. Michael Messer, 2022. "Bivariate change point detection: Joint detection of changes in expectation and variance," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 886-916, June.
    33. Nidhi Aggarwal & Sanchit Arora & Rajeswari Sengupta, 2022. "Capital account openness in India and a comparison with China: Then versus now," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-005, Indira Gandhi Institute of Development Research, Mumbai, India.
    34. Venkata Jandhyala & Stergios Fotopoulos & Ian MacNeill & Pengyu Liu, 2013. "Inference for single and multiple change-points in time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 423-446, July.
    35. Bhattacharya, Rudrani & Patnaik,Ila, 2014. "Monetary policy analysis in an inflation targeting framework in emerging economies: The case of India," Working Papers 14/131, National Institute of Public Finance and Policy.
    36. Golosnoy, Vasyl & Ragulin, Sergiy & Schmid, Wolfgang, 2011. "CUSUM control charts for monitoring optimal portfolio weights," Computational Statistics & Data Analysis, Elsevier, vol. 55(11), pages 2991-3009, November.
    37. Balasubramaniam, Vimal & Patnaik, Ila & Shah, Ajay, 2011. "Who cares about the Chinese Yuan?," Working Papers 11/89, National Institute of Public Finance and Policy.
    38. Edgar Merkle & Achim Zeileis, 2013. "Tests of Measurement Invariance Without Subgroups: A Generalization of Classical Methods," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 59-82, January.
    39. Reginaldo Pinto Nogueira & Claudio Djissey Shikida & Ari Francisco de Araujo, 2011. "Structural changes in exchange rate regimes in Brazil," Economics Bulletin, AccessEcon, vol. 31(2), pages 1748-1756.
    40. Patnaik, Ila & Shah, Ajay, 2011. "Did the Indian capital controls work as a tool of macroeconomic policy?," Working Papers 11/87, National Institute of Public Finance and Policy.
    41. Doraisami, Anita, 2011. "The Global Financial Crisis: Countercyclical Fiscal Policy Issues and Challenges in Malaysia, Indonesia, the Philippines, and Singapore," ADBI Working Papers 288, Asian Development Bank Institute.
    42. Li, Wenzhuo & Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Cha, Seung Hyun & Wang, Shengwei, 2020. "A novel operation approach for the energy efficiency improvement of the HVAC system in office spaces through real-time big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    43. Aurelio Fernández Bariviera & M. Belén Guercio & Lisana B. Martinez, 2014. "Informational Efficiency in Distressed Markets: The Case of European Corporate Bonds," The Economic and Social Review, Economic and Social Studies, vol. 45(3), pages 349-369.
    44. Shekhar Hari Kumar & Vimal Balasubramaniam & Ila Patnaik & Ajay Shah, 2020. "Who cares about the Renminbi?," 2020 Papers pha1373, Job Market Papers.
    45. Florbela Dantas & Ana Borges & Rui Silva, 2020. "Impact of UEFA Champions League and UEFA Europa League on Financial Sustainability—Case Study of Two Small Football Portuguese Teams," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    46. Dima, Bogdan & Dima, Ştefana Maria, 2017. "Mutual information and persistence in the stochastic volatility of market returns: An emergent market example," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 36-59.

  22. Zeileis, Achim & Croissant, Yves, 2010. "Extended Model Formulas in R: Multiple Parts and Multiple Responses," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i01).

    Cited by:

    1. Kevin Huynh, 2024. "Weighted-Average Least Squares for Negative Binomial Regression," Papers 2404.11324, arXiv.org.
    2. Erni, Birgit & Bonnevie, Bo T. & Oschadleus, Hans-Dieter & Altwegg, Res & Underhill, Les G., 2013. "moult: An R Package to Analyze Moult in Birds," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i08).
    3. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).
    4. Bettina Grün & Ioannis Kosmidis & Achim Zeileis, 2011. "Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned," Working Papers 2011-22, Faculty of Economics and Statistics, Universität Innsbruck.
    5. Andoria Ionita, 2015. "Computational consideration for selection of social classes in Romania," Romanian Statistical Review, Romanian Statistical Review, vol. 63(3), pages 90-100, September.
    6. Felix Thoemmes & Wang Liao & Ze Jin, 2017. "The Analysis of the Regression-Discontinuity Design in R," Journal of Educational and Behavioral Statistics, , vol. 42(3), pages 341-360, June.
    7. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    8. Andreea Cambir, 2015. "Factors of life quality material dimension," Romanian Statistical Review, Romanian Statistical Review, vol. 63(2), pages 39-56, June.
    9. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).
    10. Zhang, Peng & Qiu, Zhenguo & Shi, Chengchun, 2016. "simplexreg: an R package for regression analysis of proportional data using the simplex distribution," LSE Research Online Documents on Economics 102115, London School of Economics and Political Science, LSE Library.
    11. Silvia Pisica & Nicoleta Caragea, 2015. "Determinants of Labor Force Potential in Romania," Romanian Statistical Review, Romanian Statistical Review, vol. 63(2), pages 104-118, June.
    12. Savitsky, Terrance & Paddock, Susan, 2014. "Bayesian Semi- and Non-Parametric Models for Longitudinal Data with Multiple Membership Effects in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i03).

  23. Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.

    Cited by:

    1. Achim Zeileis & Christoph Leitner & Kurt Hornik, 2012. "History Repeating: Spain Beats Germany in the EURO 2012 Final," Working Papers 2012-09, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Daniel Goller & Michael C. Knaus & Michael Lechner & Gabriel Okasa, 2021. "Predicting match outcomes in football by an Ordered Forest estimator," Chapters, in: Ruud H. Koning & Stefan Kesenne (ed.), A Modern Guide to Sports Economics, chapter 22, pages 335-355, Edward Elgar Publishing.
    3. Li, Yongjun & Wang, Lizheng & Li, Feng, 2021. "A data-driven prediction approach for sports team performance and its application to National Basketball Association," Omega, Elsevier, vol. 98(C).
    4. J. James Reade & Sachiko Akie, 2013. "Using Forecasting to Detect Corruption in International Football," Working Papers 2013-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    5. Groll Andreas & Abedieh Jasmin, 2013. "Spain retains its title and sets a new record – generalized linear mixed models on European football championships," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(1), pages 51-66, March.
    6. Angelini, Giovanni & Candila, Vincenzo & De Angelis, Luca, 2022. "Weighted Elo rating for tennis match predictions," European Journal of Operational Research, Elsevier, vol. 297(1), pages 120-132.
    7. Scarf, Phil & Parma, Rishikesh & McHale, Ian, 2019. "On outcome uncertainty and scoring rates in sport: The case of international rugby union," European Journal of Operational Research, Elsevier, vol. 273(2), pages 721-730.
    8. Roberto Gásquez & Vicente Royuela, 2016. "The Determinants of International Football Success: A Panel Data Analysis of the Elo Rating," Social Science Quarterly, Southwestern Social Science Association, vol. 97(2), pages 125-141, June.
    9. Constantinou Anthony Costa & Fenton Norman Elliott, 2013. "Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(1), pages 37-50, March.
    10. da Costa, Igor Barbosa & Marinho, Leandro Balby & Pires, Carlos Eduardo Santos, 2022. "Forecasting football results and exploiting betting markets: The case of “both teams to score”," International Journal of Forecasting, Elsevier, vol. 38(3), pages 895-909.
    11. Marc Garnica-Caparrós & Daniel Memmert & Fabian Wunderlich, 2022. "Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports," Information Systems and e-Business Management, Springer, vol. 20(3), pages 551-580, September.
    12. L.F.M. Groot & J. Ferwerda, 2014. "Soccer jersey sponsors and the world cup," Working Papers 14-07, Utrecht School of Economics.
    13. Groll Andreas & Schauberger Gunther & Tutz Gerhard, 2015. "Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(2), pages 97-115, June.
    14. Vaughan Williams Leighton & Liu Chunping & Dixon Lerato & Gerrard Hannah, 2021. "How well do Elo-based ratings predict professional tennis matches?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(2), pages 91-105, June.
    15. Kovalchik, Stephanie & Reid, Machar, 2019. "A calibration method with dynamic updates for within-match forecasting of wins in tennis," International Journal of Forecasting, Elsevier, vol. 35(2), pages 756-766.

  24. Michaela-Maria Schaffhauser-Linzatti & Achim Zeileis & Marion Rauner, 2009. "Effects of the Austrian performance-oriented inpatient reimbursement system on treatment patterns: illustrated on cases with knee-joint problems," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 17(3), pages 293-314, September.

    Cited by:

    1. Markus Kraus & Marion Rauner & Sigrun Schwarz, 2010. "Hospital management games: a taxonomy and extensive review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(4), pages 567-591, December.
    2. Pedro Simões & Rui Marques, 2011. "Performance and congestion analysis of the portuguese hospital services," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(1), pages 39-63, March.

  25. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847.

    Cited by:

    1. Christensen, Garret & Miguel, Edward & Sturdy, Jennifer, 2017. "Transparency, Reproducibility, and the Credibility of Economics Research," MetaArXiv 9a3rw, Center for Open Science.
    2. Orozco, Valérie & Bontemps, Christophe & Maigné, Elise & Piguet, V. & Hofstetter, A. & Lacroix, Anne & Levert, F. & Rousselle, J.M, 2018. "How To Make A Pie: Reproducible Research for Empirical Economics & Econometrics," TSE Working Papers 18-933, Toulouse School of Economics (TSE).
    3. Joachim Wagner, 2016. "From Estimation Results to Stylized Facts: Twelve Recommendations for Empirical Research in International Activities of Heterogeneous Firms," World Scientific Book Chapters, in: Microeconometrics of International Trade, chapter 15, pages 479-514, World Scientific Publishing Co. Pte. Ltd..
    4. Kleiber, Christian & Zeileis, Achim, 2010. "Reproducible Econometric Simulations," Working papers 2010/12, Faculty of Business and Economics - University of Basel.
    5. Arai, Mahmood & Karlsson, Jonas & Lundholm, Michael, 2008. "On Fragile Grounds: A Replication of Are Muslim Immigrants Different in Terms of Cultural Integration? Technical Documentation," Research Papers in Economics 2009:6, Stockholm University, Department of Economics.
    6. Roseline Bilina & Steve Lawford, 2012. "Python for Unified Research in Econometrics and Statistics," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 558-591, September.
    7. Michael S. Delgado & Christopher F. Parmeter, 2013. "Embarrassingly Easy Embarrassingly Parallel Processing in R: Implementation and Reproducibility," Working Papers 2013-06, University of Miami, Department of Economics.
    8. Arai, Mahmood & Karlsson, Jonas & Lundholm, Michael, 2008. "On Fragile Grounds: A Replication of Are Muslim Immigrants Different in Terms of Cultural Integration?," Research Papers in Economics 2009:5, Stockholm University, Department of Economics.
    9. Nicolas Vallois & Dorian Jullien, 2017. "Replication in experimental economics: A historical and quantitative approach focused on public good game experiments," Working Papers halshs-01651080, HAL.
    10. Le Zhang & Andreas Ortmann, 2012. "A reproduction and replication of Engel’s meta-study of dictator game experiments," Discussion Papers 2012-44, School of Economics, The University of New South Wales.
    11. Rodolphe Buda, 2013. "SIMUL 3.2: An Econometric Tool for Multidimensional Modelling," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 517-524, April.
    12. Valérie Orozco & Christophe Bontemps & Elise Maigné & Virginie Piguet & Annie Hofstetter & Anne Lacroix & Fabrice Levert & Jean‐Marc Rousselle, 2020. "How To Make A Pie: Reproducible Research For Empirical Economics And Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1134-1169, December.
    13. Peter Egger & Sergey Nigai, 2013. "Energy Reform in Switzerland," KOF Working papers 13-327, KOF Swiss Economic Institute, ETH Zurich.
    14. Matthias Bannert, 2015. "timeseriesdb: Manage and Archive Time Series Data in Establishment Statistics with R and PostgreSQL," KOF Working papers 15-384, KOF Swiss Economic Institute, ETH Zurich.
    15. Rodrigues Bruno, 2016. "Version Control Systems to Facilitate Research Collaboration in Economics," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 547-553, October.
    16. Christophe Hurlin & Christophe Pérignon, 2020. "Reproducibility Certification in Economics Research," Working Papers hal-02896404, HAL.
    17. Kirchkamp, Oliver, 2019. "Importing z-Tree data into R," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 1-2.
    18. Amélie Charles & Olivier Darné, 2019. "Volatility estimation for Bitcoin: Replication and robustness," International Economics, CEPII research center, issue 157, pages 23-32.
    19. Matthias Bannert, 2013. "Gateveys," KOF Working papers 13-326, KOF Swiss Economic Institute, ETH Zurich.
    20. Rodolphe Buda, 2015. "Data Checking and Econometric Software Development: A Technique of Traceability by Fictive Data Encoding," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 325-357, August.

  26. Zeileis, Achim & Hornik, Kurt & Murrell, Paul, 2009. "Escaping RGBland: Selecting colors for statistical graphics," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3259-3270, July.

    Cited by:

    1. MacDonald, Blake & Ranjan, Pritam & Chipman, Hugh, 2015. "GPfit: An R Package for Fitting a Gaussian Process Model to Deterministic Simulator Outputs," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i12).
    2. Ben Jann, 2022. "ColrSpace: A Mata class for color management," University of Bern Social Sciences Working Papers 42, University of Bern, Department of Social Sciences, revised 03 Jun 2022.
    3. Matthias Templ & Andreas Alfons & Peter Filzmoser, 2012. "Exploring incomplete data using visualization techniques," 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. 6(1), pages 29-47, April.
    4. de Wreede, Liesbeth C. & Fiocco, Marta & Putter, Hein, 2011. "mstate: An R Package for the Analysis of Competing Risks and Multi-State Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 38(i07).
    5. Anette Fasang & Marcel Raab, 2014. "Beyond Transmission: Intergenerational Patterns of Family Formation Among Middle-Class American Families," Demography, Springer;Population Association of America (PAA), vol. 51(5), pages 1703-1728, October.
    6. Tseng, George C., 2010. "Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 1124-1137, April.
    7. Reto Stauffer & Georg J. Mayr & Markus Dabernig & Achim Zeileis, 2013. "Somewhere over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations," Working Papers 2013-37, Faculty of Economics and Statistics, Universität Innsbruck.
    8. Ben Jann, 2022. "Color palettes for Stata graphics: an update," University of Bern Social Sciences Working Papers 43, University of Bern, Department of Social Sciences, revised 03 Jun 2022.
    9. Seiler, Johannes & Harttgen, Kenneth & Kneib, Thomas & Lang, Stefan, 2021. "Modelling children's anthropometric status using Bayesian distributional regression merging socio-economic and remote sensed data from South Asia and sub-Saharan Africa," Economics & Human Biology, Elsevier, vol. 40(C).
    10. Pilhöfer, Alexander & Unwin, Antony, 2013. "New Approaches in Visualization of Categorical Data: R Package extracat," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i07).
    11. Emura, Takeshi & Lin, Yi-Shuan, 2013. "A comparison of normal approximation rules for attribute control charts," MPRA Paper 51029, University Library of Munich, Germany.
    12. Stanislav Katina & Liberty Vittert & Adrian W. Bowman, 2021. "Functional data analysis and visualisation of three‐dimensional surface shape," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 691-713, June.
    13. Fox, John & Hong, Jangman, 2009. "Effect Displays in R for Multinomial and Proportional-Odds Logit Models: Extensions to the effects Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i01).
    14. Meyer, Sebastian & Held, Leonhard & Höhle, Michael, 2017. "Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i11).
    15. Shannon P McPherron, 2018. "Additional statistical and graphical methods for analyzing site formation processes using artifact orientations," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-21, January.
    16. Anette Eva Fasang & Tim Futing Liao, 2014. "Visualizing Sequences in the Social Sciences," Sociological Methods & Research, , vol. 43(4), pages 643-676, November.

  27. Grün, Bettina & Zeileis, Achim, 2009. "Automatic Generation of Exams in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i10).

    Cited by:

    1. Dinges, Gerlinde & Kowarik, Alexander & Meindl, Bernhard & Templ, Matthias, 2011. "An Open Source Approach for Modern Teaching Methods: The Interactive TGUI System," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 39(i07).
    2. Zeileis, Achim & Umlauf, Nikolaus & Leisch, Friedrich, 2014. "Flexible Generation of E-Learning Exams in R: Moodle Quizzes, OLAT Assessments, and Beyond," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i01).
    3. Dryver, Arthur, 2009. "The Enhancement of Teaching Materials for Applied Statistics Courses by Combining Random Number Generation and Portable Document Format Files via LaTeX," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(c03).

  28. Kurt Hornik & Christian Buchta & Achim Zeileis, 2009. "Open-source machine learning: R meets Weka," Computational Statistics, Springer, vol. 24(2), pages 225-232, May.

    Cited by:

    1. Thomas Grubinger & Achim Zeileis & Karl-Peter Pfeiffer, 2011. "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Working Papers 2011-20, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Souhila Ghanem & Raphaël Couturier & Pablo Gregori, 2021. "An Accurate and Easy to Interpret Binary Classifier Based on Association Rules Using Implication Intensity and Majority Vote," Mathematics, MDPI, vol. 9(12), pages 1-12, June.
    3. Rashid Mehmood & Muhammad Riaz & Ronald Does, 2013. "Efficient power computation for r out of m runs rules schemes," Computational Statistics, Springer, vol. 28(2), pages 667-681, April.
    4. Stefano Castellana & Caterina Fusilli & Gianluigi Mazzoccoli & Tommaso Biagini & Daniele Capocefalo & Massimo Carella & Angelo Luigi Vescovi & Tommaso Mazza, 2017. "High-confidence assessment of functional impact of human mitochondrial non-synonymous genome variations by APOGEE," PLOS Computational Biology, Public Library of Science, vol. 13(6), pages 1-12, June.
    5. Chi-Chang Chang & Tse-Hung Huang & Pei-Wei Shueng & Ssu-Han Chen & Chun-Chia Chen & Chi-Jie Lu & Yi-Ju Tseng, 2021. "Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors," IJERPH, MDPI, vol. 18(23), pages 1-10, November.
    6. Maria Janicka & Bogumiła Pawluśkiewicz & Tomasz Gnatowski, 2023. "Preliminary Results of the Introduction of Dicotyledonous Meadow Species," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    7. Fabian Meyer-Brötz & Edgar Schiebel & Leo Brecht, 2017. "Experimental evaluation of parameter settings in calculation of hybrid similarities: effects of first- and second-order similarity, edge cutting, and weighting factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1307-1325, June.
    8. Gustavo Cattelan Nobre & Elaine Tavares, 2017. "Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 463-492, April.
    9. Bogdan Oancea, 2023. "Automatic Product Classification Using Supervised Machine Learning Algorithms in Price Statistics," Mathematics, MDPI, vol. 11(7), pages 1-32, March.
    10. Nai-Hua Chen, 2020. "Exploring the Cognitive and Emotional Impact of Online Climate Change Videos on Viewers," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    11. David Fernández-Nogueira & Eduardo Corbelle-Rico, 2019. "Determinants of Land Use/Cover Change in the Iberian Peninsula (1990–2012) at Municipal Level," Land, MDPI, vol. 9(1), pages 1-12, December.
    12. Ana D. Maldonado & Darío Ramos-López & Pedro A. Aguilera, 2018. "A Comparison of Machine-Learning Methods to Select Socioeconomic Indicators in Cultural Landscapes," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    13. Hao-Yun Kao & Chi-Chang Chang & Chin-Fang Chang & Ying-Chen Chen & Chalong Cheewakriangkrai & Ya-Ling Tu, 2022. "Associations between Sex and Risk Factors for Predicting Chronic Kidney Disease," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
    14. Mariane S. Reis & Maria Isabel S. Escada & Luciano V. Dutra & Sidnei J. S. Sant’Anna & Nathan D. Vogt, 2018. "Towards a Reproducible LULC Hierarchical Class Legend for Use in the Southwest of Pará State, Brazil: A Comparison with Remote Sensing Data-Driven Hierarchies," Land, MDPI, vol. 7(2), pages 1-29, May.
    15. Simon Urbanek, 2009. "How to talk to strangers: ways to leverage connectivity between R, Java and Objective C," Computational Statistics, Springer, vol. 24(2), pages 303-311, May.

  29. Torsten Hothorn & Achim Zeileis, 2008. "Generalized Maximally Selected Statistics," Biometrics, The International Biometric Society, vol. 64(4), pages 1263-1269, December.

    Cited by:

    1. Qiu, Zhiping & Peng, Limin & Manatunga, Amita & Guo, Ying, 2019. "A smooth nonparametric approach to determining cut-points of a continuous scale," Computational Statistics & Data Analysis, Elsevier, vol. 134(C), pages 186-210.
    2. Edgar Merkle & Jinyan Fan & Achim Zeileis, 2014. "Testing for Measurement Invariance with Respect to an Ordinal Variable," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 569-584, October.
    3. K. B. S. Huth & L. J. Waldorp & J. Luigjes & A. E. Goudriaan & R. J. Holst & M. Marsman, 2022. "A Note on the Structural Change Test in Highly Parameterized Psychometric Models," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1064-1080, September.
    4. Carolin Strobl & Julia Kopf & Achim Zeileis, 2015. "Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 289-316, June.
    5. Rui Tang & Xiaoye Ma & Hui Yang & Michael Wolf, 2018. "Biomarker-Defined Subgroup Selection Adaptive Design for Phase III Confirmatory Trial with Time-to-Event Data: Comparing Group Sequential and Various Adaptive Enrichment Designs," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(2), pages 371-404, August.
    6. Dexin Chen & Meiting Fu & Liangjie Chi & Liyan Lin & Jiaxin Cheng & Weisong Xue & Chenyan Long & Wei Jiang & Xiaoyu Dong & Jian Sui & Dajia Lin & Jianping Lu & Shuangmu Zhuo & Side Liu & Guoxin Li & G, 2022. "Prognostic and predictive value of a pathomics signature in gastric cancer," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    7. Achim Zeileis & Torsten Hothorn, 2013. "A toolbox of permutation tests for structural change," Statistical Papers, Springer, vol. 54(4), pages 931-954, November.

  30. Zeileis, Achim & Kleiber, Christian & Jackman, Simon, 2008. "Regression Models for Count Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i08).
    See citations under working paper version above.
  31. Hothorn, Torsten & Hornik, Kurt & van de Wiel, Mark A. & Zeileis, Achim, 2008. "Implementing a Class of Permutation Tests: The coin Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i08).

    Cited by:

    1. James V Dunne & Stephan F van Eeden & Kevin J Keen, 2012. "L-selectin and Skin Damage in Systemic Sclerosis," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-8, September.
    2. Maldonado, A.D. & Aguilera, P.A. & Salmerón, A. & Nicholson, A.E., 2018. "Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes," Ecosystem Services, Elsevier, vol. 33(PB), pages 146-164.
    3. Fay, Michael P. & Shaw, Pamela A., 2010. "Exact and Asymptotic Weighted Logrank Tests for Interval Censored Data: The interval R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i02).
    4. Achim Zeileis & Yves Croissant, 2010. "Extended Model Formulas in R : Multiple Parts and Multiple Responses," Post-Print hal-01245303, HAL.
    5. McGinlay, James & Parsons, David J. & Morris, Joe & Hubatova, Marie & Graves, Anil & Bradbury, Richard B. & Bullock, James M., 2017. "Do charismatic species groups generate more cultural ecosystem service benefits?," Ecosystem Services, Elsevier, vol. 27(PA), pages 15-24.
    6. O'Sullivan, Kimberley C. & Stanley, James & Fougere, Geoffrey & Howden-Chapman, Philippa, 2016. "Heating practices and self-disconnection among electricity prepayment meter consumers in New Zealand: A follow-up survey," Utilities Policy, Elsevier, vol. 41(C), pages 139-147.
    7. Brosig-Koch, Jeannette & Griebenow, Malte & Kifmann, Mathias & Then, Franziska, 2022. "Rewards for information provision in patient referrals: A theoretical model and an experimental test," Journal of Health Economics, Elsevier, vol. 86(C).
    8. Harinder Singh & Sandeep Singh & Gajendra P S Raghava, 2014. "Evaluation of Protein Dihedral Angle Prediction Methods," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-9, August.
    9. Nordhausen, Klaus & Oja, Hannu, 2011. "Multivariate L1 Statistical Methods: The Package MNM," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i05).
    10. McGinlay, James & Parsons, David J. & Morris, Joe & Graves, Anil & Hubatova, Marie & Bradbury, Richard B. & Bullock, James M., 2018. "Leisure activities and social factors influence the generation of cultural ecosystem service benefits," Ecosystem Services, Elsevier, vol. 31(PC), pages 468-480.
    11. Achim Zeileis & Torsten Hothorn, 2013. "A toolbox of permutation tests for structural change," Statistical Papers, Springer, vol. 54(4), pages 931-954, November.

  32. Zeileis, Achim & Koenker, Roger, 2008. "Econometrics in R: Past, Present, and Future," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i01).

    Cited by:

    1. Lupi, Claudio, 2011. "Panel-CADF Testing with R: Panel Unit Root Tests Made Easy," Economics & Statistics Discussion Papers esdp11063, University of Molise, Department of Economics.
    2. Roseline Bilina & Steve Lawford, 2012. "Python for Unified Research in Econometrics and Statistics," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 558-591, September.

  33. Achim Zeileis & Kurt Hornik, 2007. "Generalized M‐fluctuation tests for parameter instability," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 61(4), pages 488-508, November.

    Cited by:

    1. Ting Wang & Edgar C. Merkle & Achim Zeileis, 2013. "Score-Based Tests of Measurement Invariance: Use in Practice," Working Papers 2013-33, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Yu-Shan Shih & Kuang-Hsun Liu, 2019. "Regression trees for detecting preference patterns from rank 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(3), pages 683-702, September.
    3. Sies Aniek & Van Mechelen Iven, 2017. "Comparing Four Methods for Estimating Tree-Based Treatment Regimes," The International Journal of Biostatistics, De Gruyter, vol. 13(1), pages 1-20, May.
    4. Emilian DOBRESCU, 2017. "Modelling an Emergent Economy and Parameter Instability Problem," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 5-28, June.
    5. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2016. "Score-Based Tests of Differential Item Functioning in the Two-Parameter Model," Working Papers 2016-05, Faculty of Economics and Statistics, Universität Innsbruck.
    6. Bettina Grün & Ioannis Kosmidis & Achim Zeileis, 2011. "Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned," Working Papers 2011-22, Faculty of Economics and Statistics, Universität Innsbruck.
    7. Edgar C. Merkle & Achim Zeileis, 2011. "Generalized Measurement Invariance Tests with Application to Factor Analysis," Working Papers 2011-09, Faculty of Economics and Statistics, Universität Innsbruck.
    8. Jones, Payton J. & Mair, Patrick & Simon, Thorsten & Zeileis, Achim, 2019. "Network Model Trees," OSF Preprints ha4cw, Center for Open Science.
    9. Susan Athey & Julie Tibshirani & Stefan Wager, 2016. "Generalized Random Forests," Papers 1610.01271, arXiv.org, revised Apr 2018.
    10. Edgar Merkle & Jinyan Fan & Achim Zeileis, 2014. "Testing for Measurement Invariance with Respect to an Ordinal Variable," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 569-584, October.
    11. Lee, Hsiu-Chuan & Lee, Yun-Huan & Lu, Yang-Cheng & Wang, Yu-Chun, 2020. "States of psychological anchors and price behavior of Japanese yen futures," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    12. Bürgin, Reto & Ritschard, Gilbert, 2015. "Tree-based varying coefficient regression for longitudinal ordinal responses," Computational Statistics & Data Analysis, Elsevier, vol. 86(C), pages 65-80.
    13. Duo Qin & Sophie van H¸llen & Qing-Chao Wang, 2014. "What Happens to Wage Elasticities When We Strip Playometrics? Revisiting Married Women Labour Supply Model," Working Papers 190, Department of Economics, SOAS University of London, UK.
    14. Brunori, Paolo & Davillas, Apostolos & Jones, Andrew M. & Scarchilli, Giovanna, 2022. "Model-based recursive partitioning to estimate unfair health inequalities in the United Kingdom Household Longitudinal Study," LSE Research Online Documents on Economics 117404, London School of Economics and Political Science, LSE Library.
    15. K. B. S. Huth & L. J. Waldorp & J. Luigjes & A. E. Goudriaan & R. J. Holst & M. Marsman, 2022. "A Note on the Structural Change Test in Highly Parameterized Psychometric Models," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1064-1080, September.
    16. Carolin Strobl & Julia Kopf & Achim Zeileis, 2015. "Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 289-316, June.
    17. Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis, 2020. "Network Trees: A Method for Recursively Partitioning Covariance Structures," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 926-945, December.
    18. Duo Qin & Sophie Van Huellen & Qing-Chao Wang, 2015. "How Credible Are Shrinking Wage Elasticities of Married Women Labour Supply?," Econometrics, MDPI, vol. 4(1), pages 1-31, December.
    19. Eugster, Manuel J.A. & Leisch, Friedrich & Strobl, Carolin, 2014. "(Psycho-)analysis of benchmark experiments: A formal framework for investigating the relationship between data sets and learning algorithms," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 986-1000.
    20. Cynthia Huber & Norbert Benda & Tim Friede, 2022. "Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning," 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. 16(3), pages 797-815, September.
    21. Thomas Windberger & Achim Zeileis, 2011. "Structural Breaks in Inflation Dynamics within the European Monetary Union," Working Papers 2011-12, Faculty of Economics and Statistics, Universität Innsbruck.
    22. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    23. Gutiérrez-Vargas, Álvaro A. & Meulders, Michel & Vandebroek, Martina, 2023. "Modeling preference heterogeneity using model-based decision trees," Journal of choice modelling, Elsevier, vol. 46(C).
    24. Edgar Merkle & Achim Zeileis, 2013. "Tests of Measurement Invariance Without Subgroups: A Generalization of Classical Methods," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 59-82, January.
    25. Christophe Dutang & Quentin Guibert, 2021. "An explicit split point procedure in model-based trees allowing for a quick fitting of GLM trees and GLM forests," Post-Print hal-03448250, HAL.
    26. Heidi Seibold & Torsten Hothorn & Achim Zeileis, 2019. "Generalised linear model trees with global additive effects," 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 703-725, September.
    27. Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle, 2022. "Computation and application of generalized linear mixed model derivatives using lme4," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1173-1193, September.
    28. Nan-Ting Liu & Feng-Chang Lin & Yu-Shan Shih, 2020. "Count regression trees," 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. 14(1), pages 5-27, March.
    29. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.
    30. Carolin Strobl & Julia Kopf & Achim Zeileis, 2011. "A new method for detecting differential item functioning in the Rasch model," Working Papers 2011-01, Faculty of Economics and Statistics, Universität Innsbruck.
    31. Florian Wickelmaier & Achim Zeileis, 2016. "Using Recursive Partitioning to Account for Parameter Heterogeneity in Multinomial Processing Tree Models," Working Papers 2016-26, Faculty of Economics and Statistics, Universität Innsbruck.
    32. Seibold Heidi & Hothorn Torsten & Zeileis Achim, 2016. "Model-Based Recursive Partitioning for Subgroup Analyses," The International Journal of Biostatistics, De Gruyter, vol. 12(1), pages 45-63, May.
    33. Lisa Dandolo & Klaus Telkmann & Christina Hartig & Sophie Horstmann & Sara Pedron & Lars Schwettmann & Peter Selsam & Alexandra Schneider & Gabriele Bolte & on behalf of the INGER Study Group, 2023. "Do Multiple Sex/Gender Dimensions Play a Role in the Association of Green Space and Self-Rated Health? Model-Based Recursive Partitioning Results from the KORA INGER Study," IJERPH, MDPI, vol. 20(7), pages 1-23, March.
    34. Carolin Strobl & Florian Wickelmaier & Achim Zeileis, 2011. "Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning," Journal of Educational and Behavioral Statistics, , vol. 36(2), pages 135-153, April.
    35. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.

  34. Meyer, David & Zeileis, Achim & Hornik, Kurt, 2006. "The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i03).

    Cited by:

    1. Cook, Dianne & Hofmann, Heike, 2011. "R Graphics (2nd Edition)," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(b03).
    2. Monira Hamid & Christopher Thron & Sallam Fageeri, 2021. "Demographics of Sudanese University Students in Relation to Regional Conflict and Underdevelopment," Social Sciences, MDPI, vol. 10(3), pages 1-33, March.
    3. Klusáček, Petr & Navrátil, Josef & Martinát, Stanislav & Krejčí, Tomáš & Golubchikov, Oleg & Pícha, Kamil & Škrabal, Jaroslav & Osman, Robert, 2021. "Planning for the future of derelict farm premises: From abandonment to regeneration?," Land Use Policy, Elsevier, vol. 102(C).
    4. Matthias Templ & Andreas Alfons & Peter Filzmoser, 2012. "Exploring incomplete data using visualization techniques," 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. 6(1), pages 29-47, April.
    5. Justyna Brzezińska, 2012. "Independence analysis of nominal data with the use of log-linear models in R," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(2), pages 311-320, June.
    6. Hothorn, Torsten & Hornik, Kurt & van de Wiel, Mark A. & Zeileis, Achim, 2008. "Implementing a Class of Permutation Tests: The coin Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i08).
    7. Andreas Alfons & Stefan Kraft & Matthias Templ & Peter Filzmoser, 2011. "Simulation of close-to-reality population data for household surveys with application to EU-SILC," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(3), pages 383-407, August.
    8. Pilhöfer, Alexander & Unwin, Antony, 2013. "New Approaches in Visualization of Categorical Data: R Package extracat," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i07).
    9. Yee, Thomas W., 2010. "The VGAM Package for Categorical Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i10).
    10. Heiberger, Richard & Robbins, Naomi, 2014. "Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i05).
    11. Brzezińska Justyna, 2018. "Visualization of Categorical Data Using Extracat Package in R," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(2), pages 9-19, June.
    12. Pavlo Maksimov & Johannes Zerweck & Jitender P Dubey & Nikola Pantchev & Caroline F Frey & Aline Maksimov & Ulf Reimer & Mike Schutkowski & Morteza Hosseininejad & Mario Ziller & Franz J Conraths & Ge, 2013. "Serotyping of Toxoplasma gondii in Cats (Felis domesticus) Reveals Predominance of Type II Infections in Germany," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    13. Zeileis, Achim & Hornik, Kurt & Murrell, Paul, 2009. "Escaping RGBland: Selecting colors for statistical graphics," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3259-3270, July.

  35. Zeileis, Achim, 2006. "Object-oriented Computation of Sandwich Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 16(i09).

    Cited by:

    1. Saptarshi Chatterjee & Shrabanti Chowdhury & Sanjib Basu, 2021. "A model‐free approach for testing association," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 511-531, June.
    2. Michelle Yoo & Billy Bai & Ashok Singh, 2020. "The evolution of behavioral loyalty and customer lifetime value over time: investigation from a Casino Loyalty Program," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(2), pages 45-56, June.
    3. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    4. Beth Ann Griffin & Megan S. Schuler & Elizabeth A. Stuart & Stephen Patrick & Elizabeth McNeer & Rosanna Smart & David Powell & Bradley Stein & Terry Schell & Rosalie Liccardo Pacula, 2020. "Variation in Performance of Commonly Used Statistical Methods for Estimating Effectiveness of State-Level Opioid Policies on Opioid-Related Mortality," NBER Working Papers 27029, National Bureau of Economic Research, Inc.
    5. Wouter van den Bos & Eveline A Crone & Rosa Meuwese & Berna Güroğlu, 2018. "Social network cohesion in school classes promotes prosocial behavior," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-16, April.
    6. Hart, Rannveig & Pedersen, Willy & Skardhamar, Torbjørn, 2019. "Blowing in the wind? The effect of weather on the intensity and spatial distribution of crime," SocArXiv qrhn4, Center for Open Science.
    7. Patnaik, Ila & Shah, Ajay, 2010. "Does the currency regime shape unhedged currency exposure?," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 760-769, September.
    8. Sarrias, Mauricio, 2016. "Discrete Choice Models with Random Parameters in R: The Rchoice Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i10).
    9. Lars Isenhardt & Stefan Seifert & Silke Hüttel, 2023. "Tenant Favoritism and Right of First Refusals in Farmland Auctions: Competition and Price Effects," Land Economics, University of Wisconsin Press, vol. 99(2), pages 302-324.
    10. Ghislain B. D. Aïhounton & Arne Henningsen & Neda Trifkovic, 2021. "Pesticide Handling and Human Health: Conventional and Organic Cotton Farming in Benin," IFRO Working Paper 2021/06, University of Copenhagen, Department of Food and Resource Economics.
    11. Eric W Bridgeford & Shangsi Wang & Zeyi Wang & Ting Xu & Cameron Craddock & Jayanta Dey & Gregory Kiar & William Gray-Roncal & Carlo Colantuoni & Christopher Douville & Stephanie Noble & Carey E Prieb, 2021. "Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics," PLOS Computational Biology, Public Library of Science, vol. 17(9), pages 1-20, September.
    12. Tim Lohse & Salmai Qari, 2018. "Video recordings in experiments – Are there effects on self-selection or the outcome of the experiment?," Economics Bulletin, AccessEcon, vol. 38(3), pages 1381-1394.
    13. Andersson, Jonas & Schroyen, Fred & Torsvik, Gaute, 2019. "The impact of international tax information exchange agreements on the use of tax amnesty: evidence from Norway," Discussion Papers 2019/12, Norwegian School of Economics, Department of Business and Management Science.
    14. Kajal Lahiri & Liu Yang, 2018. "Confidence Bands for ROC Curves With Serially Dependent Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 115-130, January.
    15. Aihounton, Ghislain & Henningsen, Arne, 2021. "Organic Farming and Food and Nutrition Security," 2021 Conference, August 17-31, 2021, Virtual 315413, International Association of Agricultural Economists.
    16. Mireille E. Schnitzer & Erica E.M. Moodie & Mark J. van der Laan & Robert W. Platt & Marina B. Klein, 2014. "Modeling the impact of hepatitis C viral clearance on end-stage liver disease in an HIV co-infected cohort with targeted maximum likelihood estimation," Biometrics, The International Biometric Society, vol. 70(1), pages 144-152, March.
    17. Sarah Harris & Wendy Anderson & Musa Kilinc & Liam Fogarty, 2012. "The relationship between fire behaviour measures and community loss: an exploratory analysis for developing a bushfire severity scale," 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. 63(2), pages 391-415, September.
    18. Michal Engelman & Christopher L. Seplaki & Ravi Varadhan, 2017. "A Quiescent Phase in Human Mortality? Exploring the Ages of Least Vulnerability," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 1097-1118, June.
    19. Chrysanthos Dellarocas & Juliana Sutanto & Mihai Calin & Elia Palme, 2016. "Attention Allocation in Information-Rich Environments: The Case of News Aggregators," Management Science, INFORMS, vol. 62(9), pages 2543-2562, September.
    20. Sakari Lähdemäki, 2017. "Traditional convergence tests with Penn World Table 9.0," Working Papers 309, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    21. Jiang, Xianfeng & Packer, Frank, 2019. "Credit ratings of Chinese firms by domestic and global agencies: Assessing the determinants and impact," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 178-193.
    22. Stübinger, Johannes & Endres, Sylvia, 2017. "Pairs trading with a mean-reverting jump-diffusion model on high-frequency data," FAU Discussion Papers in Economics 10/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    23. Ghislain B. D. Aihounton & Arne Henningsen, 2023. "Does Organic Farming Jeopardize Food and Nutrition Security?," IFRO Working Paper 2023/02, University of Copenhagen, Department of Food and Resource Economics.
    24. Víctor Pérez-Segura & Raquel Caro-Carretero & Antonio Rua, 2021. "Multivariate Analysis of Risk Factors of the COVID-19 Pandemic in the Community of Madrid, Spain," IJERPH, MDPI, vol. 18(17), pages 1-14, September.
    25. Millo, Giovanni, 2014. "Robust standard error estimators for panel models: a unifying approach," MPRA Paper 54954, University Library of Munich, Germany.
    26. W. Lee, 2014. "Historical global analysis of occurrences and human casualty of extreme temperature events (ETEs)," 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. 70(2), pages 1453-1505, January.
    27. Horváth, Lajos & Rice, Gregory, 2019. "Asymptotics for empirical eigenvalue processes in high-dimensional linear factor models," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 138-165.
    28. Edgar Merkle & Jinyan Fan & Achim Zeileis, 2014. "Testing for Measurement Invariance with Respect to an Ordinal Variable," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 569-584, October.
    29. Oberst, Christian A. & Schmitz, Hendrik & Madlener, Reinhard, 2016. "Are Prosumer Households That Much Different? Evidence from Stated Residential Energy Consumption in Germany," FCN Working Papers 24/2016, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Mar 2018.
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    32. Maximilian Humpesch & Stefan Seifert & Alfons Balmann & Silke Hüttel, 2022. "How does tenancy affect farmland prices? Effects of lease status, lease term and buyer type," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 83(2), pages 242-263, September.
    33. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    34. Salvatore Fasola & Laura Montalbano & Giovanna Cilluffo & Benjamin Cuer & Velia Malizia & Giuliana Ferrante & Isabella Annesi-Maesano & Stefania La Grutta, 2021. "A Critical Review of Statistical Methods for Twin Studies Relating Exposure to Early Life Health Conditions," IJERPH, MDPI, vol. 18(23), pages 1-15, December.
    35. Macdonald, P. & Angus, C.H. & Cleasby, I.R. & Marshall, C.T., 2014. "Fishers’ knowledge as an indicator of spatial and temporal trends in abundance of commercial fish species: Megrim (Lepidorhombus whiffiagonis) in the northern North Sea," Marine Policy, Elsevier, vol. 45(C), pages 228-239.
    36. Schmid, Basil & Molloy, Joseph & Peer, Stefanie & Jokubauskaite, Simona & Aschauer, Florian & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2021. "The value of travel time savings and the value of leisure in Zurich: Estimation, decomposition and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 186-215.
    37. Alice Hengevoss, 2021. "Assessing the Impact of Nonprofit Organizations on Multi-Actor Global Governance Initiatives: The Case of the UN Global Compact," Sustainability, MDPI, vol. 13(13), pages 1-13, June.
    38. Kleiber Christian & Zeileis Achim, 2010. "The Grunfeld Data at 50," German Economic Review, De Gruyter, vol. 11(4), pages 404-417, December.
    39. Steven L Van Wilgenburg & C Lisa Mahon & Greg Campbell & Logan McLeod & Margaret Campbell & Dean Evans & Wendy Easton & Charles M Francis & Samuel Haché & Craig S Machtans & Caitlin Mader & Rhiannon F, 2020. "A cost efficient spatially balanced hierarchical sampling design for monitoring boreal birds incorporating access costs and habitat stratification," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.
    40. Wilms, Rafael & Dahan, Clara Seif el, 2022. "Are we on the same page? The moderating role of value congruence in charismatic signaling-charismatic effects relationship," OSF Preprints s5q6d, Center for Open Science.
    41. Timo Dimitriadis & Xiaochun Liu & Julie Schnaitmann, 2020. "Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary," Papers 2009.07341, arXiv.org.
    42. Wassie, Yibeltal T. & Ahlgren, Erik O., 2023. "Determinants of electricity consumption from decentralized solar PV mini-grids in rural East Africa: An econometric analysis," Energy, Elsevier, vol. 274(C).
    43. Francis L. Huang, 2022. "Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations," Journal of Educational and Behavioral Statistics, , vol. 47(1), pages 101-125, February.
    44. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    45. Susanne Berger & Herbert Stocker & Achim Zeileis, 2014. "Innovation and Institutional Ownership Revisited: An Empirical Investigation with Count Data Models," Working Papers 2014-24, Faculty of Economics and Statistics, Universität Innsbruck.
    46. Patrick Mair & Marcus Hudec, 2009. "Multivariate Weibull mixtures with proportional hazard restrictions for dwell‐time‐based session clustering with incomplete data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(5), pages 619-639, December.
    47. Xuehui Han & Yuan Cheng, 2023. "Drivers of Bilateral Climate Finance Aid: The Roles of Paris Agreement Commitments, Public Governance, and Multilateral Institutions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(3), pages 783-821, August.
    48. Zeileis, Achim & Koenker, Roger, 2008. "Econometrics in R: Past, Present, and Future," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i01).
    49. Jochen Heberle & Cristina Sattarhoff, 2017. "A Fast Algorithm for the Computation of HAC Covariance Matrix Estimators," Econometrics, MDPI, vol. 5(1), pages 1-16, January.
    50. Schmid, Basil & Jokubauskaite, Simona & Aschauer, Florian & Peer, Stefanie & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2019. "A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 262-294.
    51. Lupi, Claudio, 2009. "Covariate Augmented Dickey-Fuller Tests with R," Economics & Statistics Discussion Papers esdp09051, University of Molise, Department of Economics.
    52. Zeileis, Achim & Kleiber, Christian & Jackman, Simon, 2008. "Regression Models for Count Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i08).
    53. Christopher F. Parmeter, 2017. "Estimation of the Two-Tiered Stochastic Frontier Model with the Scaling Property," Working Papers 2017-06, University of Miami, Department of Economics.
    54. Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
    55. Hasler Mario, 2013. "Multiple Contrasts for Repeated Measures," The International Journal of Biostatistics, De Gruyter, vol. 9(1), pages 1-13, July.
    56. David Wozabal & Christoph Graf & David Hirschmann, 2016. "The effect of intermittent renewables on the electricity price variance," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(3), pages 687-709, July.
    57. Alexander Robitzsch, 2023. "Linking Error in the 2PL Model," J, MDPI, vol. 6(1), pages 1-27, January.
    58. Agata Sielska, 2022. "Costs of polish county hospitals–A behavioral panel function," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-14, January.
    59. Alisa Stöber & Pavo Marijic & Christoph Kurz & Larissa Schwarzkopf & Florian Kirsch & Anja Schramm & Reiner Leidl, 2023. "Does uptake of specialty care affect HRQoL development in COPD patients beneficially? A difference-in-difference analysis linking claims and survey data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(9), pages 1561-1573, December.
    60. Ionel Bostan & Mihaela Onofrei & Elena-Doina Dascalu & Bogdan Fîrtescu, 2016. "Impact of Sustainable Environmental Expenditures Policy on Air Pollution Reduction, During European Integration Framework," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(42), pages 286-286, May.
    61. Matthias Bannert & Andreas Dibiasi, 2014. "Unveiling Participant Level Determinants of Unit Non-Response in Business Tendency Surveys," KOF Working papers 14-363, KOF Swiss Economic Institute, ETH Zurich.
    62. Vinícius B. P. Chagas & Pedro L. B. Chaffe & Günter Blöschl, 2022. "Climate and land management accelerate the Brazilian water cycle," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    63. Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle, 2022. "Computation and application of generalized linear mixed model derivatives using lme4," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1173-1193, September.
    64. Mario Hasler, 2016. "Heteroscedasticity: multiple degrees of freedom vs. sandwich estimation," Statistical Papers, Springer, vol. 57(1), pages 55-68, March.
    65. Lena Faller & Marcio F. A. Leite & Eiko E. Kuramae, 2024. "Enhancing phosphate-solubilising microbial communities through artificial selection," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    66. Moura, Ticiana Grecco Zanon & Garcia-Alonso, Lorena & del Rosal, Ignacio, 2018. "Influence of the geographical pattern of foreign trade on the inland distribution of maritime traffic," Journal of Transport Geography, Elsevier, vol. 72(C), pages 191-200.
    67. Tim Lohse & Salmai Qari, 2018. "Video Recordings in Experiments – Are There Effects on Self-Selection or the Outcome of the Experiment?," Discussion Papers of DIW Berlin 1751, DIW Berlin, German Institute for Economic Research.
    68. David Magis, 2016. "Efficient Standard Error Formulas of Ability Estimators with Dichotomous Item Response Models," Psychometrika, Springer;The Psychometric Society, vol. 81(1), pages 184-200, March.
    69. Lenka Dubová & Jan Macháč & Alena Vacková, 2020. "Food Provision, Social Interaction or Relaxation: Which Drivers Are Vital to Being a Member of Community Gardens in Czech Cities?," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    70. Johannes Stübinger & Sylvia Endres, 2018. "Pairs trading with a mean-reverting jump–diffusion model on high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 18(10), pages 1735-1751, October.
    71. Schäfer Benjamin, 2018. "The Impact of the Crisis and Unconventional Monetary Policy on European Inflation Dynamics: Evidence from a Three-Period Structural Model and Six Countries," Review of Economics, De Gruyter, vol. 69(2), pages 87-110, August.
    72. Erdogan, Murside Rabia & Camgoz, Selin Metin & Karan, Mehmet Baha & Berument, M. Hakan, 2022. "The switching behavior of large-scale electricity consumers in The Turkish electricity retail market," Energy Policy, Elsevier, vol. 160(C).
    73. Lupi, Claudio, 2009. "Unit Root CADF Testing with R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i02).
    74. Javier Contreras-Reyes & Wilfredo Palma, 2013. "Statistical analysis of autoregressive fractionally integrated moving average models in R," Computational Statistics, Springer, vol. 28(5), pages 2309-2331, October.
    75. Elizabeth Lhuillier & Yuan Yang & Olga Morozova & Sean A. P. Clouston & Xiaohua Yang & Monika A. Waszczuk & Melissa A. Carr & Benjamin J. Luft, 2022. "The Impact of World Trade Center Related Medical Conditions on the Severity of COVID-19 Disease and Its Long-Term Sequelae," IJERPH, MDPI, vol. 19(12), pages 1-15, June.
    76. Harden Jeffrey J., 2012. "Improving Statistical Inference with Clustered Data," Statistics, Politics and Policy, De Gruyter, vol. 3(1), pages 1-30, January.
    77. Agosto, Arianna & Cerchiello, Paola & Pagnottoni, Paolo, 2022. "Sentiment, Google queries and explosivity in the cryptocurrency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

  36. Hothorn, Torsten & Hornik, Kurt & van de Wiel, Mark A. & Zeileis, Achim, 2006. "A Lego System for Conditional Inference," The American Statistician, American Statistical Association, vol. 60, pages 257-263, August.

    Cited by:

    1. Chavez, Alex K. & Bicchieri, Cristina, 2013. "Third-party sanctioning and compensation behavior: Findings from the ultimatum game," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 268-277.
    2. Shuqin Zeng & Dhrati Patangia & Alexandre Almeida & Zhemin Zhou & Dezhi Mu & R. Paul Ross & Catherine Stanton & Shaopu Wang, 2022. "A compendium of 32,277 metagenome-assembled genomes and over 80 million genes from the early-life human gut microbiome," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    3. Fay, Michael P. & Shaw, Pamela A., 2010. "Exact and Asymptotic Weighted Logrank Tests for Interval Censored Data: The interval R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i02).
    4. Torsten Hothorn & Achim Zeileis, 2008. "Generalized Maximally Selected Statistics," Biometrics, The International Biometric Society, vol. 64(4), pages 1263-1269, December.
    5. Jorge M. Arevalillo & Hilario Navarro, 2021. "Skewness-Kurtosis Model-Based Projection Pursuit with Application to Summarizing Gene Expression Data," Mathematics, MDPI, vol. 9(9), pages 1-18, April.
    6. Achim Zeileis & Yves Croissant, 2010. "Extended Model Formulas in R : Multiple Parts and Multiple Responses," Post-Print hal-01245303, HAL.
    7. Raphael Knevels & Alexander Brenning & Simone Gingrich & Gerhard Heiss & Theresia Lechner & Philip Leopold & Christoph Plutzar & Herwig Proske & Helene Petschko, 2021. "Towards the Use of Land Use Legacies in Landslide Modeling: Current Challenges and Future Perspectives in an Austrian Case Study," Land, MDPI, vol. 10(9), pages 1-29, September.
    8. Jones, Payton J. & Mair, Patrick & Simon, Thorsten & Zeileis, Achim, 2019. "Network Model Trees," OSF Preprints ha4cw, Center for Open Science.
    9. Millo, Giovanni, 2014. "Robust standard error estimators for panel models: a unifying approach," MPRA Paper 54954, University Library of Munich, Germany.
    10. Hothorn, Torsten & Hornik, Kurt & van de Wiel, Mark A. & Zeileis, Achim, 2008. "Implementing a Class of Permutation Tests: The coin Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i08).
    11. Henning Sommermeyer & Hanna Krauss & Zuzanna Chęcińska-Maciejewska & Marcin Pszczola & Jacek Piątek, 2020. "Infantile Colic—The Perspective of German and Polish Pediatricians in 2020," IJERPH, MDPI, vol. 17(19), pages 1-11, September.
    12. McGinlay, James & Parsons, David J. & Morris, Joe & Hubatova, Marie & Graves, Anil & Bradbury, Richard B. & Bullock, James M., 2017. "Do charismatic species groups generate more cultural ecosystem service benefits?," Ecosystem Services, Elsevier, vol. 27(PA), pages 15-24.
    13. Santiago Carbo-Valverde & Pedro Cuadros-Solas & Francisco Rodríguez-Fernández, 2020. "A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-39, October.
    14. Tomáš Želinský, 2015. "Nekonzistentnosť časových preferencií ľudí z arginalizovaných rómskych komunít [On inconsistency of time preferences of people from the marginalised roma communities]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(2), pages 204-222.
    15. Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis, 2020. "Network Trees: A Method for Recursively Partitioning Covariance Structures," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 926-945, December.
    16. Shuqin Zeng & Alexandre Almeida & Shiping Li & Junjie Ying & Hua Wang & Yi Qu & R. Paul Ross & Catherine Stanton & Zhemin Zhou & Xiaoyu Niu & Dezhi Mu & Shaopu Wang, 2024. "A metagenomic catalog of the early-life human gut virome," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    17. Chloe Bracis & Eliezer Gurarie & Bram Van Moorter & R Andrew Goodwin, 2015. "Memory Effects on Movement Behavior in Animal Foraging," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    18. Ribas, Giovana Ghisleni & Zanon, Alencar Junior & Streck, Nereu Augusto & Pilecco, Isabela Bulegon & de Souza, Pablo Mazzuco & Heinemann, Alexandre Bryan & Grassini, Patricio, 2021. "Assessing yield and economic impact of introducing soybean to the lowland rice system in southern Brazil," Agricultural Systems, Elsevier, vol. 188(C).
    19. Tlacaelel Rivera-Núñez & Luis García-Barrios & Mariana Benítez & Julieta A. Rosell & Rodrigo García-Herrera & Erin Estrada-Lugo, 2022. "Unravelling the Paradoxical Seasonal Food Scarcity in a Peasant Microregion of Mexico," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
    20. Wanke, Peter & Barros, Carlos Pestana, 2016. "Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach," Economic Modelling, Elsevier, vol. 53(C), pages 8-22.
    21. Bryan Keller, 2012. "Detecting Treatment Effects with Small Samples: The Power of Some Tests Under the Randomization Model," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 324-338, April.
    22. Marc Ditzhaus & Arnold Janssen, 2020. "Bootstrap and permutation rank tests for proportional hazards under right censoring," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(3), pages 493-517, July.
    23. Carlos Família & Sarah R Dennison & Alexandre Quintas & David A Phoenix, 2015. "Prediction of Peptide and Protein Propensity for Amyloid Formation," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    24. Seibold Heidi & Hothorn Torsten & Zeileis Achim, 2016. "Model-Based Recursive Partitioning for Subgroup Analyses," The International Journal of Biostatistics, De Gruyter, vol. 12(1), pages 45-63, May.
    25. Elsäßer Amelie & Victor Anja & Hommel Gerhard, 2011. "Multiple Testing in Candidate Gene Situations: A Comparison of Classical, Discrete, and Resampling-Based Procedures," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-21, November.
    26. Nordhausen, Klaus & Oja, Hannu, 2011. "Multivariate L1 Statistical Methods: The Package MNM," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i05).
    27. McGinlay, James & Parsons, David J. & Morris, Joe & Graves, Anil & Hubatova, Marie & Bradbury, Richard B. & Bullock, James M., 2018. "Leisure activities and social factors influence the generation of cultural ecosystem service benefits," Ecosystem Services, Elsevier, vol. 31(PC), pages 468-480.
    28. Janitza, Silke & Tutz, Gerhard & Boulesteix, Anne-Laure, 2016. "Random forest for ordinal responses: Prediction and variable selection," Computational Statistics & Data Analysis, Elsevier, vol. 96(C), pages 57-73.
    29. Georgina Milne & Andrew William Byrne & Emma Campbell & Jordon Graham & John McGrath & Raymond Kirke & Wilma McMaster & Jesko Zimmermann & Adewale Henry Adenuga, 2022. "Quantifying Land Fragmentation in Northern Irish Cattle Enterprises," Land, MDPI, vol. 11(3), pages 1-16, March.

  37. Zeileis, Achim, 2006. "Implementing a class of structural change tests: An econometric computing approach," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 2987-3008, July.

    Cited by:

    1. Schier, Franziska & Morland, Christian & Dieter, Matthias & Weimar, Holger, 2021. "Estimating supply and demand elasticities of dissolving pulp, lignocellulose-based chemical derivatives and textile fibres in an emerging forest-based bioeconomy," Forest Policy and Economics, Elsevier, vol. 126(C).
    2. Matsypura, Dmytro & Pauwels, Laurent L., 2016. "Does portfolio margining make borrowing more attractive?," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 128-134.
    3. Chang, Ming-Jen & Su, Che-Yi, 2014. "The dynamic relationship between exchange rates and macroeconomic fundamentals: Evidence from Pacific Rim countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 220-246.
    4. Fried, Roland, 2007. "On the robust detection of edges in time series filtering," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 1063-1074, October.
    5. Zeileis, Achim & Shah, Ajay & Patnaik, Ila, 2010. "Testing, monitoring, and dating structural changes in exchange rate regimes," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1696-1706, June.
    6. Edgar Merkle & Jinyan Fan & Achim Zeileis, 2014. "Testing for Measurement Invariance with Respect to an Ordinal Variable," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 569-584, October.
    7. Julien Chevallier, 2011. "Detecting Instability in the Volatility of Carbon Prices," Post-Print hal-00991957, HAL.
    8. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    9. Gutiérrez-Vargas, Álvaro A. & Meulders, Michel & Vandebroek, Martina, 2023. "Modeling preference heterogeneity using model-based decision trees," Journal of choice modelling, Elsevier, vol. 46(C).
    10. Reginaldo Pinto Nogueira & Claudio Djissey Shikida & Ari Francisco de Araujo, 2011. "Structural changes in exchange rate regimes in Brazil," Economics Bulletin, AccessEcon, vol. 31(2), pages 1748-1756.
    11. Altman, Micah & Jackman, Simon, 2011. "Nineteen Ways of Looking at Statistical Software," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i02).
    12. Kunze, Frederik & Wegener, Christoph & Bizer, Kilian & Spiwoks, Markus, 2017. "Forecasting European interest rates in times of financial crisis – What insights do we get from international survey forecasts?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 192-205.

  38. Zeileis, Achim & Grothendieck, Gabor, 2005. "zoo: S3 Infrastructure for Regular and Irregular Time Series," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i06).

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    1. G. H. Niedrist & R. Psenner & R. Sommaruga, 2018. "Climate warming increases vertical and seasonal water temperature differences and inter-annual variability in a mountain lake," Climatic Change, Springer, vol. 151(3), pages 473-490, December.
    2. Ibrahim, Omar, 2019. "Modelling Risk on the Egyptian Stock Market: Evidence from a Markov-Regime Switching GARCH Process," MPRA Paper 98091, University Library of Munich, Germany.
    3. Perpiñán Lamigueiro, Oscar, 2012. "solaR: Solar Radiation and Photovoltaic Systems with R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(i09).
    4. Jiří Sedláček, 2013. "Using R in Finance [Využití R v oblasti financí]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2013(4), pages 145-163.
    5. Benjamin J. M. Tremblay & Cristina P. Santini & Yajiao Cheng & Xue Zhang & Stefanie Rosa & Julia I. Qüesta, 2024. "Interplay between coding and non-coding regulation drives the Arabidopsis seed-to-seedling transition," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    6. Stéphanie C. Schai-Braun & Christine Kowalczyk & Erich Klansek & Klaus Hackländer, 2019. "Estimating Sustainable Harvest Rates for European Hare ( Lepus Europaeus ) Populations," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    7. Stübinger, Johannes & Endres, Sylvia, 2017. "Pairs trading with a mean-reverting jump-diffusion model on high-frequency data," FAU Discussion Papers in Economics 10/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    8. Nielsen, Julie K. & Tribuzio, Cindy A., 2023. "Development and parameterization of a data likelihood model for geolocation of a bentho-pelagic fish in the North Pacific Ocean," Ecological Modelling, Elsevier, vol. 478(C).
    9. Esteban González, María Victoria & Tusell Palmer, Fernando Jorge, 2009. "Predicting Betas: Two new methods," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    10. Georgia Papacharalampous & Hristos Tyralis & Demetris Koutsoyiannis, 2018. "Univariate Time Series Forecasting of Temperature and Precipitation with a Focus on Machine Learning Algorithms: a Multiple-Case Study from Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 5207-5239, December.
    11. Grolemund, Garrett & Wickham, Hadley, 2011. "Dates and Times Made Easy with lubridate," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i03).
    12. Melchior, Cristiane & Zanini, Roselaine Ruviaro & Guerra, Renata Rojas & Rockenbach, Dinei A., 2021. "Forecasting Brazilian mortality rates due to occupational accidents using autoregressive moving average approaches," International Journal of Forecasting, Elsevier, vol. 37(2), pages 825-837.
    13. Kley, Tobias, 2016. "Quantile-Based Spectral Analysis in an Object-Oriented Framework and a Reference Implementation in R: The quantspec Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i03).
    14. Malte Willmes & Katherine M Ransom & Levi S Lewis & Christian T Denney & Justin J G Glessner & James A Hobbs, 2018. "IsoFishR: An application for reproducible data reduction and analysis of strontium isotope ratios (87Sr/86Sr) obtained via laser-ablation MC-ICP-MS," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-15, September.
    15. Mirko Seithe & Lena Calahorrano, 2014. "Analysing Party Preferences Using Google Trends," CESifo Working Paper Series 4631, CESifo.
    16. Ohana-Levi, Noa & Ben-Gal, Alon & Munitz, Sarel & Netzer, Yishai, 2022. "Grapevine crop evapotranspiration and crop coefficient forecasting using linear and non-linear multiple regression models," Agricultural Water Management, Elsevier, vol. 262(C).
    17. Judith M. Ament & Robin Freeman & Chris Carbone & Anna Vassall & Charlotte Watts, 2020. "An Empirical Analysis of Synergies and Tradeoffs between Sustainable Development Goals," Sustainability, MDPI, vol. 12(20), pages 1-12, October.
    18. Anota, Amélie & Savina, Marion & Bascoul-Mollevi, Caroline & Bonnetain, Franck, 2017. "QoLR: An R Package for the Longitudinal Analysis of Health-Related Quality of Life in Oncology," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i12).
    19. Brouste, Alexandre & Fukasawa, Masaaki & Hino, Hideitsu & Iacus, Stefano & Kamatani, Kengo & Koike, Yuta & Masuda, Hiroki & Nomura, Ryosuke & Ogihara, Teppei & Shimuzu, Yasutaka & Uchida, Masayuki & Y, 2014. "The YUIMA Project: A Computational Framework for Simulation and Inference of Stochastic Differential Equations," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i04).
    20. Bouras V. David & Wesseh Wollo, 2020. "Oligopoly Power, Cross-Market Effects and Demand Relatedness: An Empirical Analysis," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 6, September.
    21. Lyu, Rongfang & Zhao, Wenpeng & Pang, Jili & Tian, Xiaolei & Zhang, Jianming & Wang, Naiang, 2022. "Towards a sustainable nature reserve management: Using Bayesian network to quantify the threat of disturbance to ecosystem services," Ecosystem Services, Elsevier, vol. 58(C).
    22. Shrub, Yuliya & Rieger, Jonas & Müller, Henrik & Jentsch, Carsten, 2022. "Text data rule - don't they? A study on the (additional) information of Handelsblatt data for nowcasting German GDP in comparison to established economic indicators," Ruhr Economic Papers 964, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    23. Fabian Becker & Daniel Knitter & Moritz Nykamp & Brigitta Schütt, 2020. "Meta-Analysis of Geomorphodynamics in the Western Lower Bakırçay Plain (Aegean Region, Turkey)," Land, MDPI, vol. 9(9), pages 1-29, September.
    24. Golyandina, Nina & Korobeynikov, Anton, 2014. "Basic Singular Spectrum Analysis and forecasting with R," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 934-954.
    25. Calahorrano, Lena & Seithe, Mirko, 2014. "Analysing Party Preferences Using Google Trends," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100294, Verein für Socialpolitik / German Economic Association.
    26. Pebesma, Edzer, 2012. "spacetime: Spatio-Temporal Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 51(i07).
    27. Ohana-Levi, Noa & Munitz, Sarel & Ben-Gal, Alon & Netzer, Yishai, 2020. "Evaluation of within-season grapevine evapotranspiration patterns and drivers using generalized additive models," Agricultural Water Management, Elsevier, vol. 228(C).
    28. James Reade & Genaro Sucarrat, 2016. "General-to-Specific (GETS) Modelling And Indicator Saturation With The R Package Gets," Economics Series Working Papers 794, University of Oxford, Department of Economics.
    29. Kerstin Jost & Isabelle Pramana & Edgar Delgado-Eckert & Nitin Kumar & Alexandre N Datta & Urs Frey & Sven M Schulzke, 2017. "Dynamics and complexity of body temperature in preterm infants nursed in incubators," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-15, April.
    30. Percebois, Jacques & Pommeret, Stanislas, 2019. "Storage cost induced by a large substitution of nuclear by intermittent renewable energies: The French case," Energy Policy, Elsevier, vol. 135(C).
    31. Kufenko, Vadim, 2016. "Spurious periodicities in cliometric series: Simultaneous testing," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 48/2016, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    32. Peter Egger & Sergey Nigai, 2013. "Energy Reform in Switzerland," KOF Working papers 13-327, KOF Swiss Economic Institute, ETH Zurich.
    33. Matthias Bannert, 2015. "timeseriesdb: Manage and Archive Time Series Data in Establishment Statistics with R and PostgreSQL," KOF Working papers 15-384, KOF Swiss Economic Institute, ETH Zurich.
    34. Johannes St binger & Jens Bredthauer, 2017. "Statistical Arbitrage Pairs Trading with High-frequency Data," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 650-662.
    35. Peter Knaus & Angela Bitto-Nemling & Annalisa Cadonna & Sylvia Fruhwirth-Schnatter, 2019. "Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP," Papers 1907.07065, arXiv.org, revised Nov 2020.
    36. Ferstl, Robert & Hayden, Josef, 2010. "Zero-Coupon Yield Curve Estimation with the Package termstrc," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i01).
    37. Nadja Pernat & Jana Zscheischler & Helge Kampen & Emu-Felicitas Ostermann-Miyashita & Jonathan M Jeschke & Doreen Werner, 2022. "How media presence triggers participation in citizen science—The case of the mosquito monitoring project ‘Mückenatlas‘," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-22, February.
    38. Golyandina, Nina & Korobeynikov, Anton & Shlemov, Alex & Usevich, Konstantin, 2015. "Multivariate and 2D Extensions of Singular Spectrum Analysis with the Rssa Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i02).
    39. Ben Teune & Carl Woods & Alice Sweeting & Mathew Inness & Sam Robertson, 2022. "A method to inform team sport training activity duration with change point analysis," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-11, March.
    40. Konsta Karttunen & Divyesh Patel & Jihan Xia & Liangru Fei & Kimmo Palin & Lauri Aaltonen & Biswajyoti Sahu, 2023. "Transposable elements as tissue-specific enhancers in cancers of endodermal lineage," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    41. Salmon, Maëlle & Schumacher, Dirk & Höhle, Michael, 2016. "Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i10).
    42. Johannes Stübinger & Sylvia Endres, 2018. "Pairs trading with a mean-reverting jump–diffusion model on high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 18(10), pages 1735-1751, October.
    43. Richard T. A. Samuel & Charles Chimedza & Caston Sigauke, 2023. "Simulation Framework to Determine Suitable Innovations for Volatility Persistence Estimation: The GARCH Approach," JRFM, MDPI, vol. 16(9), pages 1-30, September.
    44. Raquel Martins Lana & Maíra Moreira Morais & Tiago França Melo de Lima & Tiago Garcia de Senna Carneiro & Lucas Martins Stolerman & Jefferson Pereira Caldas dos Santos & José Joaquín Carvajal Cortés &, 2018. "Assessment of a trap based Aedes aegypti surveillance program using mathematical modeling," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-16, January.
    45. McLeod, A. Ian & Zhang, Ying, 2008. "Improved Subset Autoregression: With R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i02).
    46. Nikolaus Umlauf & Georg Mayr & Jakob Messner & Achim Zeileis, 2011. "Why Does It Always Rain on Me? A Spatio-Temporal Analysis of Precipitation in Austria," Working Papers 2011-25, Faculty of Economics and Statistics, Universität Innsbruck.
    47. Nicholas John Tierney & Dianne Cook & Tania Prvan, 2020. "brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R," Monash Econometrics and Business Statistics Working Papers 43/20, Monash University, Department of Econometrics and Business Statistics.
    48. Clegg, Matthew & Krauss, Christopher & Rende, Jonas, 2017. "partialCI: An R package for the analysis of partially cointegrated time series," FAU Discussion Papers in Economics 05/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    49. Chris Heaton & Natalia Ponomareva & Qin Zhang, 2020. "Forecasting models for the Chinese macroeconomy: the simpler the better?," Empirical Economics, Springer, vol. 58(1), pages 139-167, January.
    50. Thelma Dede Baddoo & Zhijia Li & Yiqing Guan & Kenneth Rodolphe Chabi Boni & Isaac Kwesi Nooni, 2020. "Data-Driven Modeling and the Influence of Objective Function Selection on Model Performance in Limited Data Regions," IJERPH, MDPI, vol. 17(11), pages 1-26, June.
    51. Kowarik, Alexander & Meraner, Angelika & Templ, Matthias & Schopfhauser, Daniel, 2014. "Seasonal Adjustment with the R Packages x12 and x12GUI," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 62(i02).
    52. Matthias Bannert, 2013. "Gateveys," KOF Working papers 13-326, KOF Swiss Economic Institute, ETH Zurich.
    53. Hansin Bilgili & Chwen Sheu, 2022. "A Bibliometric Review of the Mathematics Journal," Mathematics, MDPI, vol. 10(15), pages 1-17, July.
    54. Michael Berlemann & Julia Freese & Sven Knoth, 2020. "Dating the start of the US house price bubble: an application of statistical process control," Empirical Economics, Springer, vol. 58(5), pages 2287-2307, May.

  39. Christian Kleiber & Achim Zeileis, 2005. "Validating multiple structural change models-a case study," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 685-690.
    See citations under working paper version above.
  40. Kurt Hornik & Friedrich Leisch & Christian Kleiber & Achim Zeileis, 2005. "Monitoring structural change in dynamic econometric models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 99-121.
    See citations under working paper version above.
  41. Achim Zeileis, 2005. "A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 445-466.

    Cited by:

    1. Marjolein Fokkema & Niels Smits & Achim Zeileis & Torsten Hothorn & Henk Kelderman, 2015. "Detecting Treatment-Subgroup Interactions in Clustered Data with Generalized Linear Mixed-Effects Model Trees," Working Papers 2015-10, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Makram El-Shagi & Sebastian Giesen, 2013. "Testing for Structural Breaks at Unknown Time: A Steeplechase," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 101-123, January.
    3. Kleiber, Christian, 2016. "Structural Change in (Economic) Time Series," Working papers 2016/06, Faculty of Business and Economics - University of Basel.
    4. Piotr Kotlarz & Michael Hanke & Sebastian Stöckl, 2023. "Regime-dependent drivers of the EUR/CHF exchange rate," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-18, December.
    5. Šárka Hudecová & Marie Hušková & Simos G. Meintanis, 2017. "Tests for Structural Changes in Time Series of Counts," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(4), pages 843-865, December.
    6. Bruna K. S. Peixoto & Roberto T Ferreira, 2023. "Herd behavior and contagion effects of the COVID-19," Economics Bulletin, AccessEcon, vol. 43(2), pages 1036-1046.
    7. Fried, Roland, 2007. "On the robust detection of edges in time series filtering," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 1063-1074, October.
    8. Zeileis, Achim & Shah, Ajay & Patnaik, Ila, 2010. "Testing, monitoring, and dating structural changes in exchange rate regimes," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1696-1706, June.
    9. Yazgan, M. Ege & Özkan, Harun, 2015. "Detecting structural changes using wavelets," Finance Research Letters, Elsevier, vol. 12(C), pages 23-37.
    10. Susan Athey & Julie Tibshirani & Stefan Wager, 2016. "Generalized Random Forests," Papers 1610.01271, arXiv.org, revised Apr 2018.
    11. O'Hare, Colin & Li, Youwei, 2016. "Modelling mortality: Are we heading in the right direction?," MPRA Paper 71392, University Library of Munich, Germany.
    12. Khan, Khalid & Su, Chi Wei & Rehman, Ashfaq U. & Ullah, Rahman, 2022. "Is technological innovation a driver of renewable energy?," Technology in Society, Elsevier, vol. 70(C).
    13. Martin Wagner & Achim Zeileis, 2019. "Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach," German Economic Review, Verein für Socialpolitik, vol. 20(1), pages 67-82, February.
    14. KUROZUMI, Eiji & 黒住, 英司, 2016. "Monitoring Parameter Constancy with Endogenous Regressors," Discussion Papers 2016-01, Graduate School of Economics, Hitotsubashi University.
    15. Jan Verbesselt & Achim Zeileis & Martin Herold, 2011. "Near Real-Time Disturbance Detection in Terrestrial Ecosystems Using Satellite Image Time Series: Drought Detection in Somalia," Working Papers 2011-18, Faculty of Economics and Statistics, Universität Innsbruck.
    16. Ross Sparks & Tim Keighley & David Muscatello, 2010. "Early warning CUSUM plans for surveillance of negative binomial daily disease counts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1911-1929.
    17. Wang, Lu & Chang, Hsu-Ling & Sari, Arif & Sowah, James Karmoh & Cai, Xu-Yu, 2020. "Resources or development first: An interesting question for a developing country," Resources Policy, Elsevier, vol. 68(C).
    18. Dean Fantazzini, 2014. "Nowcasting and Forecasting the Monthly Food Stamps Data in the US Using Online Search Data," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-27, November.
    19. Davinson Stev Abril Salcedo & Luis Fernando Melo Velandia & Daniel Parra Amado, 2015. "Heterogeneidad de los Índices de Producción Sectoriales de la Industria Colombiana," Borradores de Economia 888, Banco de la Republica de Colombia.
    20. Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
    21. Jan J.J. Groen & George Kapetanios & Simon Price, 2010. "Multivariate Methods for Monitoring Structural Change," Working Papers 658, Queen Mary University of London, School of Economics and Finance.
    22. Thomas Windberger & Achim Zeileis, 2011. "Structural Breaks in Inflation Dynamics within the European Monetary Union," Working Papers 2011-12, Faculty of Economics and Statistics, Universität Innsbruck.
    23. Jamel Jouini, 2010. "Bootstrap methods for single structural change tests: power versus corrected size and empirical illustration," Statistical Papers, Springer, vol. 51(1), pages 85-109, January.
    24. Martin Wagner & Achim Zeileis, 2012. "Heterogeneity of Regional Growth in the European Union," Working Papers 2012-20, Faculty of Economics and Statistics, Universität Innsbruck.
    25. Edgar Merkle & Achim Zeileis, 2013. "Tests of Measurement Invariance Without Subgroups: A Generalization of Classical Methods," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 59-82, January.
    26. Reginaldo Pinto Nogueira & Claudio Djissey Shikida & Ari Francisco de Araujo, 2011. "Structural changes in exchange rate regimes in Brazil," Economics Bulletin, AccessEcon, vol. 31(2), pages 1748-1756.
    27. Carsten J. Crede, 2019. "A Structural Break Cartel Screen for Dating and Detecting Collusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(3), pages 543-574, May.
    28. Yi-Hsuan Lee & Alina Davier, 2013. "Monitoring Scale Scores over Time via Quality Control Charts, Model-Based Approaches, and Time Series Techniques," Psychometrika, Springer;The Psychometric Society, vol. 78(3), pages 557-575, July.
    29. Fried, Roland, 2007. "On the robust detection of edges in time series filtering," Technical Reports 2007,20, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    30. Achim Zeileis & Torsten Hothorn, 2013. "A toolbox of permutation tests for structural change," Statistical Papers, Springer, vol. 54(4), pages 931-954, November.
    31. Yang Yi & Le Wen & Shan He, 2022. "Partitioning for “Common but Differentiated” Precise Air Pollution Governance: A Combined Machine Learning and Spatial Econometric Approach," Energies, MDPI, vol. 15(9), pages 1-23, May.
    32. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
    33. Pierre Perron & Eduardo Zorita & Eiji Kurozumi, 2017. "Monitoring Parameter Constancy with Endogenous Regressors," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(5), pages 791-805, September.
    34. O'Hare, Colin & Li, Youwei, 2014. "Identifying structural breaks in stochastic mortality models," MPRA Paper 62994, University Library of Munich, Germany.

  42. Karatzoglou, Alexandros & Smola, Alexandros & Hornik, Kurt & Zeileis, Achim, 2004. "kernlab - An S4 Package for Kernel Methods in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i09).

    Cited by:

    1. Yli-Heikkilä, Maria & Tauriainen, Jukka, 2014. "Profitability prediction model for dairy farms using the random forest method," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182846, European Association of Agricultural Economists.
    2. Demers Simon, 2015. "Riding a probabilistic support vector machine to the Stanley Cup," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(4), pages 205-218, December.
    3. Grabisch, Michel & Kojadinovic, Ivan & Meyer, Patrick, 2008. "A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: Applications of the Kappalab R package," European Journal of Operational Research, Elsevier, vol. 186(2), pages 766-785, April.
    4. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
    5. Pimenta, Mayra & Andrade, André Felipe Alves de & Fernandes, Fernando Hiago Souza & Amboni, Mayra Pereira de Melo & Almeida, Renata Silva & Soares, Ana Hermínia Simões de Bello & Falcon, Guth Berger &, 2022. "One size does not fit all: Priority areas for real world problems," Ecological Modelling, Elsevier, vol. 470(C).
    6. Tsukioka, Yasutomo & Yanagi, Junya & Takada, Teruko, 2018. "Investor sentiment extracted from internet stock message boards and IPO puzzles," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 205-217.
    7. Paolo Gambetti & Francesco Roccazzella & Frédéric Vrins, 2022. "Meta-Learning Approaches for Recovery Rate Prediction," Risks, MDPI, vol. 10(6), pages 1-29, June.
    8. Bommert, Andrea & Sun, Xudong & Bischl, Bernd & Rahnenführer, Jörg & Lang, Michel, 2020. "Benchmark for filter methods for feature selection in high-dimensional classification data," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    9. Thomas Grubinger & Achim Zeileis & Karl-Peter Pfeiffer, 2011. "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Working Papers 2011-20, Faculty of Economics and Statistics, Universität Innsbruck.
    10. Wolfgang Karl Härdle & Dedy Dwi Prastyo & Christian Hafner, 2012. "Support Vector Machines with Evolutionary Feature Selection for Default Prediction," SFB 649 Discussion Papers SFB649DP2012-030, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    11. M. Ballings & D. Van Den Poel, 2012. "Kernel Factory: An Ensemble of Kernel Machines," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/825, Ghent University, Faculty of Economics and Business Administration.
    12. Daniel J. Luckett & Eric B. Laber & Samer S. El‐Kamary & Cheng Fan & Ravi Jhaveri & Charles M. Perou & Fatma M. Shebl & Michael R. Kosorok, 2021. "Receiver operating characteristic curves and confidence bands for support vector machines," Biometrics, The International Biometric Society, vol. 77(4), pages 1422-1430, December.
    13. Zeyu Tang & Jinzhu Jia, 2022. "The Association between the Burden of PM 2.5 -Related Neonatal Preterm Birth and Socio-Demographic Index from 1990 to 2019: A Global Burden Study," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    14. Gallego-Castillo, Cristobal & Bessa, Ricardo & Cavalcante, Laura & Lopez-Garcia, Oscar, 2016. "On-line quantile regression in the RKHS (Reproducing Kernel Hilbert Space) for operational probabilistic forecasting of wind power," Energy, Elsevier, vol. 113(C), pages 355-365.
    15. Senait D Senay & Susan P Worner & Takayoshi Ikeda, 2013. "Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-16, August.
    16. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2011. "Synth: An R Package for Synthetic Control Methods in Comparative Case Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i13).
    17. Hermel Homburger & Manuel K Schneider & Sandra Hilfiker & Andreas Lüscher, 2014. "Inferring Behavioral States of Grazing Livestock from High-Frequency Position Data Alone," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-22, December.
    18. Keach Murakami & Seiji Shimoda & Yasuhiro Kominami & Manabu Nemoto & Satoshi Inoue, 2021. "Prediction of municipality-level winter wheat yield based on meteorological data using machine learning in Hokkaido, Japan," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-19, October.
    19. Shusaku Tsumoto & Tomohirno Kimura & Shoji Hirano, 2021. "Determination of Disease from Discharge Summaries," The Review of Socionetwork Strategies, Springer, vol. 15(1), pages 49-66, June.
    20. Uwe Ligges & Sebastian Krey, 2011. "Feature clustering for instrument classification," Computational Statistics, Springer, vol. 26(2), pages 279-291, June.
    21. Cannon, Alex J., 2017. "Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes," Earth Arxiv wg7sn, Center for Open Science.
    22. P. Vangay & J. Steingrimsson & M. Wiedmann & M. J. Stasiewicz, 2014. "Classification of Listeria monocytogenes Persistence in Retail Delicatessen Environments Using Expert Elicitation and Machine Learning," Risk Analysis, John Wiley & Sons, vol. 34(10), pages 1830-1845, October.
    23. Koenker, Roger & Mizera, Ivan, 2014. "Convex Optimization in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 60(i05).
    24. Georgia Papacharalampous & Hristos Tyralis & Demetris Koutsoyiannis, 2018. "Univariate Time Series Forecasting of Temperature and Precipitation with a Focus on Machine Learning Algorithms: a Multiple-Case Study from Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 5207-5239, December.
    25. Babak Fazelabdolabadi, 2019. "A hybrid Bayesian-network proposition for forecasting the crude oil price," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-21, December.
    26. Arnout Van Messem & Andreas Christmann, 2010. "A review on consistency and robustness properties of support vector machines for heavy-tailed distributions," 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. 4(2), pages 199-220, September.
    27. Bellotti, Anthony & Brigo, Damiano & Gambetti, Paolo & Vrins, Frédéric, 2021. "Forecasting recovery rates on non-performing loans with machine learning," International Journal of Forecasting, Elsevier, vol. 37(1), pages 428-444.
    28. Benedetto Grillone & Gerard Mor & Stoyan Danov & Jordi Cipriano & Florencia Lazzari & Andreas Sumper, 2021. "Baseline Energy Use Modeling and Characterization in Tertiary Buildings Using an Interpretable Bayesian Linear Regression Methodology," Energies, MDPI, vol. 14(17), pages 1-30, September.
    29. Riza, Lala Septem & Bergmeir, Christoph & Herrera, Francisco & Benítez, José M., 2015. "frbs: Fuzzy Rule-Based Systems for Classification and Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 65(i06).
    30. Mendes, Poliana & Velazco, Santiago José Elías & Andrade, André Felipe Alves de & De Marco, Paulo, 2020. "Dealing with overprediction in species distribution models: How adding distance constraints can improve model accuracy," Ecological Modelling, Elsevier, vol. 431(C).
    31. Karin Wolffhechel & Amanda C Hahn & Hanne Jarmer & Claire I Fisher & Benedict C Jones & Lisa M DeBruine, 2015. "Testing the Utility of a Data-Driven Approach for Assessing BMI from Face Images," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-10, October.
    32. Guanhua Chen & Donglin Zeng & Michael R. Kosorok, 2016. "Personalized Dose Finding Using Outcome Weighted Learning," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1509-1521, October.
    33. Tobias Rentschler & Philipp Gries & Thorsten Behrens & Helge Bruelheide & Peter Kühn & Steffen Seitz & Xuezheng Shi & Stefan Trogisch & Thomas Scholten & Karsten Schmidt, 2019. "Comparison of catchment scale 3D and 2.5D modelling of soil organic carbon stocks in Jiangxi Province, PR China," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-23, August.
    34. Takahiro Takamatsu & Hideaki Ohtake & Takashi Oozeki, 2022. "Support Vector Quantile Regression for the Post-Processing of Meso-Scale Ensemble Prediction System Data in the Kanto Region: Solar Power Forecast Reducing Overestimation," Energies, MDPI, vol. 15(4), pages 1-18, February.
    35. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    36. Parreira, Micael Rosa & Nabout, João Carlos & Tessarolo, Geiziane & de Souza Lima-Ribeiro, Matheus & Teresa, Fabrício Barreto, 2019. "Disentangling uncertainties from niche modeling in freshwater ecosystems," Ecological Modelling, Elsevier, vol. 391(C), pages 1-8.
    37. Risse, Marian, 2019. "Combining wavelet decomposition with machine learning to forecast gold returns," International Journal of Forecasting, Elsevier, vol. 35(2), pages 601-615.
    38. Tomasz Hachaj & Marek R. Ogiela & Katarzyna Koptyra, 2018. "Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods," Annals of Operations Research, Springer, vol. 265(2), pages 223-239, June.
    39. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2020. "Company classification using machine learning," Papers 2004.01496, arXiv.org, revised May 2020.
    40. Cipollini, Francesca & Oneto, Luca & Coraddu, Andrea & Murphy, Alan John & Anguita, Davide, 2018. "Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 12-23.
    41. Rachel Sippy & Daniel F Farrell & Daniel A Lichtenstein & Ryan Nightingale & Megan A Harris & Joseph Toth & Paris Hantztidiamantis & Nicholas Usher & Cinthya Cueva Aponte & Julio Barzallo Aguilar & An, 2020. "Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 14(2), pages 1-20, February.
    42. Nunes, Matthew, 2015. "Statistical Analysis of Network Data with R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 66(b01).
    43. Jorge Daniel Mello-Román & Adolfo Hernández & Julio César Mello-Román, 2021. "Improved Predictive Ability of KPLS Regression with Memetic Algorithms," Mathematics, MDPI, vol. 9(5), pages 1-13, March.
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    45. Huisheng Wu & Maogui Hu & Yaping Zhang & Yuan Han, 2021. "An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China," Sustainability, MDPI, vol. 13(22), pages 1-10, November.
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    Cited by:

    1. Achim Zeileis, 2005. "A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 445-466.
    2. Geoffrey Ngene & Charles Lambert & Ali Darrat, 2015. "Testing Long Memory in the Presence of Structural Breaks: An Application to Regional and National Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 50(4), pages 465-483, May.
    3. Goodwin, Barry K. & Piggott, Nicholas E., 2012. "Modeling Acreage Response in a New Market Environment," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124730, Agricultural and Applied Economics Association.
    4. Makram El-Shagi & Sebastian Giesen, 2013. "Testing for Structural Breaks at Unknown Time: A Steeplechase," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 101-123, January.
    5. Meligkotsidou, Loukia & Vrontos, Ioannis D., 2008. "Detecting structural breaks and identifying risk factors in hedge fund returns: A Bayesian approach," Journal of Banking & Finance, Elsevier, vol. 32(11), pages 2471-2481, November.
    6. Stephan B. Bruns & Zsuzsanna Csereklyei & David I. Stern, 2018. "A Multicointegration Model of Global Climate Change," CCEP Working Papers 1801, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    7. Maria de Fátima Oliveira & Pedro Reis, 2023. "Portuguese Agrifood Sector Resilience: An Analysis Using Structural Breaks Applied to International Trade," Agriculture, MDPI, vol. 13(9), pages 1-22, August.
    8. Tatsuru Kikuchi & Toranosuke Onishi & Kenichi Ueda, 2021. "Price Stability of Cryptocurrencies as a Medium of Exchange," Papers 2111.08390, arXiv.org.
    9. Liqun Wang & Klaus Pötzelberger, 2007. "Crossing Probabilities for Diffusion Processes with Piecewise Continuous Boundaries," Methodology and Computing in Applied Probability, Springer, vol. 9(1), pages 21-40, March.
    10. Achim Zeileis & Friedrich Leisch & Christian Kleiber & Kurt Hornik, 2005. "Monitoring structural change in dynamic econometric models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 99-121, January.
    11. Ruggieri, Eric & Antonellis, Marcus, 2016. "An exact approach to Bayesian sequential change point detection," Computational Statistics & Data Analysis, Elsevier, vol. 97(C), pages 71-86.
    12. Otto, Sven & Breitung, Jörg, 2020. "Backward CUSUM for Testing and Monitoring Structural Change," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224533, Verein für Socialpolitik / German Economic Association.
    13. Jurgita Markevičiūtė & Alfredas Račkauskas & Charles Suquet, 2017. "Testing epidemic change in nearly nonstationary process with statistics based on residuals," Statistical Papers, Springer, vol. 58(3), pages 577-606, September.
    14. Zeileis, Achim, 2006. "Implementing a class of structural change tests: An econometric computing approach," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 2987-3008, July.
    15. Sven Otto & Jorg Breitung, 2020. "Backward CUSUM for Testing and Monitoring Structural Change with an Application to COVID-19 Pandemic Data," Papers 2003.02682, arXiv.org, revised Mar 2022.
    16. Carsten J. Crede, 2019. "A Structural Break Cartel Screen for Dating and Detecting Collusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(3), pages 543-574, May.
    17. Gür Sercan & Pötzelberger Klaus, 2019. "Sensitivity of boundary crossing probabilities of the Brownian motion," Monte Carlo Methods and Applications, De Gruyter, vol. 25(1), pages 75-83, March.
    18. Carsten J. Crede, 2015. "A structural break cartel screen for dating and detecting collusion," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2015-11, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    19. Zhuoheng Chen & Yijun Hu, 2017. "Cumulative sum estimator for change-point in panel data," Statistical Papers, Springer, vol. 58(3), pages 707-728, September.

  45. Zeileis, Achim & Kleiber, Christian & Kramer, Walter & Hornik, Kurt, 2003. "Testing and dating of structural changes in practice," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 109-123, October.
    See citations under working paper version above.
  46. Zeileis, Achim & Leisch, Friedrich & Hornik, Kurt & Kleiber, Christian, 2002. "strucchange: An R Package for Testing for Structural Change in Linear Regression Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 7(i02).
    See citations under working paper version above.
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