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Kaspar Wüthrich
(Kaspar Wuthrich)

Personal Details

First Name:Kaspar
Middle Name:
Last Name:Wuthrich
Suffix:
RePEc Short-ID:pwt1
https://sites.google.com/site/wuethricheconomics/research
Terminal Degree:2015 Department Volkswirtschaftlehre; Universität Bern (from RePEc Genealogy)

Affiliation

Department of Economics
University of California-San Diego (UCSD)

La Jolla, California (United States)
http://economics.ucsd.edu/
RePEc:edi:deucsus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "(When) should you adjust inferences for multiple hypothesis testing?," Papers 2104.13367, arXiv.org, revised Nov 2021.
  2. Niklas Potrafke & Kaspar Wuthrich, 2020. "Green governments," Papers 2012.09906, arXiv.org, revised Sep 2021.
  3. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
  4. Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Conditional quantile estimators: A small sample theory," Papers 2011.03073, arXiv.org, revised Apr 2021.
  5. Niklas Potrafke & Fabian Ruthardt & Kaspar Wüthrich & Fabian Ruthardt, 2020. "Protectionism and Economic Growth: Causal Evidence from the First Era of Globalization," CESifo Working Paper Series 8759, CESifo.
  6. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2019. "Inference on average treatment effects in aggregate panel data settings," CeMMAP working papers CWP32/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  7. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2019. "Detecting p-hacking," Papers 1906.06711, arXiv.org, revised May 2021.
  8. Wuthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," University of California at San Diego, Economics Working Paper Series qt99n9197q, Department of Economics, UC San Diego.
  9. Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2019. "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," NBER Working Papers 26562, National Bureau of Economic Research, Inc.
  10. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
  11. Hiroaki Kaido & Kaspar Wüthrich, 2018. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP72/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  12. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2018. "A $t$-test for synthetic controls," Papers 1812.10820, arXiv.org, revised Apr 2021.
  13. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2018. "Exact and robust conformal inference methods for predictive machine learning with dependent data," CeMMAP working papers CWP16/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  14. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2017. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Papers 1712.09089, arXiv.org, revised May 2021.
  15. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
  16. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2016. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers CWP35/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  17. Blaise Melly und Kaspar Wüthrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
  18. Daniel Burkhard & Christian Schmid & Kaspar Wüthrich, 2015. "Financial incentives and physician prescription behavior: Evidence from dispensing regulations," Diskussionsschriften dp1511, Universitaet Bern, Departement Volkswirtschaft.
  19. Kaspar Wüthrich, 2015. "Semiparametric estimation of quantile treatment effects with endogeneity," Diskussionsschriften dp1509, Universitaet Bern, Departement Volkswirtschaft.
  20. Kaspar Wüthrich, 2014. "A Comparison of two Quantile Models with Endogeneity," Diskussionsschriften dp1408, Universitaet Bern, Departement Volkswirtschaft.
  21. Kaspar Wüthrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
  22. Andreas Bachmann & Kaspar Wüthrich, 2013. "Evaluating pay-as-you-go social security systems," Diskussionsschriften dp1310, Universitaet Bern, Departement Volkswirtschaft.

Articles

  1. Hiroaki Kaido & Kaspar Wüthrich, 2021. "Decentralization estimators for instrumental variable quantile regression models," Quantitative Economics, Econometric Society, vol. 12(2), pages 443-475, May.
  2. Kaspar Wüthrich, 2020. "A Comparison of Two Quantile Models With Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 443-456, April.
  3. Victor Chernozhukov & Iván Fernández-Val & Blaise Melly & Kaspar Wüthrich, 2020. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 123-137, January.
  4. Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
  5. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
  6. Daniel Burkhard & Christian P. R. Schmid & Kaspar Wüthrich, 2019. "Financial incentives and physician prescription behavior: Evidence from dispensing regulations," Health Economics, John Wiley & Sons, Ltd., vol. 28(9), pages 1114-1129, September.
  7. Boes, Stefan & Nüesch, Stephan & Wüthrich, Kaspar, 2015. "Hedonic valuation of the perceived risks of nuclear power plants," Economics Letters, Elsevier, vol. 133(C), pages 109-111.

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.

Working papers

  1. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "(When) should you adjust inferences for multiple hypothesis testing?," Papers 2104.13367, arXiv.org, revised Nov 2021.

    Cited by:

    1. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.

  2. Niklas Potrafke & Kaspar Wuthrich, 2020. "Green governments," Papers 2012.09906, arXiv.org, revised Sep 2021.

    Cited by:

    1. N. N., 2021. "WIFO-Monatsberichte, Heft 1/2021," WIFO Monatsberichte (monthly reports), WIFO, vol. 94(1), January.
    2. Daniela Kletzan-Slamanig & Franz Sinabell, 2021. "Der Beitrag der Konjunkturbelebung zur Transformation. Einordnung von Maßnahmen der Bundesländer," WIFO Monatsberichte (monthly reports), WIFO, vol. 94(1), pages 67-78, January.

  3. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.

    Cited by:

    1. Jun Ma & Vadim Marmer & Zhengfei Yu, 2021. "Inference on Individual Treatment Effects in Nonseparable Triangular Models," Papers 2107.05559, arXiv.org, revised Jul 2021.

  4. Niklas Potrafke & Fabian Ruthardt & Kaspar Wüthrich & Fabian Ruthardt, 2020. "Protectionism and Economic Growth: Causal Evidence from the First Era of Globalization," CESifo Working Paper Series 8759, CESifo.

    Cited by:

    1. Niklas Potrafke & Kaspar Wüthrich, 2020. "Green Governments," CESifo Working Paper Series 8726, CESifo.

  5. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2019. "Inference on average treatment effects in aggregate panel data settings," CeMMAP working papers CWP32/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference In Differences," NBER Working Papers 25532, National Bureau of Economic Research, Inc.

  6. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2019. "Detecting p-hacking," Papers 1906.06711, arXiv.org, revised May 2021.

    Cited by:

    1. Guido W. Imbens, 2021. "Statistical Significance, p-Values, and the Reporting of Uncertainty," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 157-174, Summer.

  7. Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2019. "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," NBER Working Papers 26562, National Bureau of Economic Research, Inc.

    Cited by:

    1. Sokbae Lee & Bernard Salani'e, 2020. "Filtered and Unfiltered Treatment Effects with Targeting Instruments," Papers 2007.10432, arXiv.org, revised Dec 2020.
    2. Leaver,Clare & Ozier,Owen & Serneels,Pieter Maria & Zeitlin,Andrew, 2020. "Recruitment, Effort, and Retention Effects of Performance Contracts for Civil Servants : Experimental Evidence from Rwandan Primary Schools," Policy Research Working Paper Series 9395, The World Bank.
    3. Andr�s Gonz�lez Lira & Ahmed Mushfiq Mobarak, 2018. "Slippery Fish: Enforcing Regulation when Agents Learn and Adapt," Cowles Foundation Discussion Papers 2143R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2021.
    4. Jorge Luis García & James J. Heckman, 2020. "Early Childhood Education and Life-cycle Health," NBER Working Papers 26880, National Bureau of Economic Research, Inc.
    5. Erika Deserranno & Philipp Kastrau & Gianmarco León-Ciliotta, 2021. "Promotions and productivity: The role of meritocracy and pay progression in the public sector," Economics Working Papers 1770, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Laura Derksen & Jason Kerwin & Natalia Ordaz Reynoso & Olivier Sterck, 2021. "Appointments: A More Effective Commitment Device for Health Behaviors," Papers 2110.06876, arXiv.org.
    7. Erika Deserranno & Philipp Kastrau & Gianmarco León-Ciliotta, 2021. "Promotions and Productivity: The Role of Meritocracy and Pay Progression in the Public Sector," Working Papers 1239, Barcelona Graduate School of Economics.
    8. Seim, Brigitte & Jablonski, Ryan & Ahlbäck, Johan, 2020. "How information about foreign aid affects public spending decisions: Evidence from a field experiment in Malawi," Journal of Development Economics, Elsevier, vol. 146(C).
    9. Philipp Ketz & Adam McCloskey, 2021. "Short and Simple Confidence Intervals when the Directions of Some Effects are Known," Papers 2109.08222, arXiv.org.
    10. Timothy B. Armstrong & Michal Koles'ar & Soonwoo Kwon, 2020. "Bias-Aware Inference in Regularized Regression Models," Papers 2012.14823, arXiv.org.
    11. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "(When) should you adjust inferences for multiple hypothesis testing?," Papers 2104.13367, arXiv.org, revised Nov 2021.

  8. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Berno Buechel & Selina Gangl & Martin Huber, 2021. "How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein," Papers 2105.11840, arXiv.org.
    3. Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.

  9. Hiroaki Kaido & Kaspar Wüthrich, 2018. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP72/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Koki Fusejima, 2020. "Identification of multi-valued treatment effects with unobserved heterogeneity," Papers 2010.04385, arXiv.org, revised Jul 2021.

  10. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2018. "A $t$-test for synthetic controls," Papers 1812.10820, arXiv.org, revised Apr 2021.

    Cited by:

    1. Billy Ferguson & Brad Ross, 2020. "Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error," Papers 2012.15367, arXiv.org, revised Feb 2021.
    2. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    3. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org.
    4. Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.
    5. Nicolaj S{o}ndergaard Muhlbach & Mikkel Slot Nielsen, 2019. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," Papers 1909.03968, arXiv.org, revised Feb 2021.
    6. Anish Agarwal & Rahul Singh, 2021. "Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy," Papers 2107.02780, arXiv.org.
    7. Jianfei Cao & Shirley Lu, 2019. "Synthetic Control Inference for Staggered Adoption: Estimating the Dynamic Effects of Board Gender Diversity Policies," Papers 1912.06320, arXiv.org.
    8. Bruno Ferman & Cristine Pinto, 2019. "Synthetic Controls with Imperfect Pre-Treatment Fit," Papers 1911.08521, arXiv.org, revised Jan 2021.

  11. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2018. "Exact and robust conformal inference methods for predictive machine learning with dependent data," CeMMAP working papers CWP16/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Borgschulte, Mark & Vogler, Jacob, 2020. "Did the ACA Medicaid expansion save lives?," Journal of Health Economics, Elsevier, vol. 72(C).
    2. Gianluca Zeni & Matteo Fontana & Simone Vantini, 2020. "Conformal Prediction: a Unified Review of Theory and New Challenges," Papers 2005.07972, arXiv.org.
    3. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2019. "Distributional conformal prediction," Papers 1909.07889, arXiv.org, revised Aug 2021.
    4. Varun Gupta & Christopher Jung & Georgy Noarov & Mallesh M. Pai & Aaron Roth, 2021. "Online Multivalid Learning: Means, Moments, and Prediction Intervals," Papers 2101.01739, arXiv.org.

  12. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2017. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Papers 1712.09089, arXiv.org, revised May 2021.

    Cited by:

    1. Billy Ferguson & Brad Ross, 2020. "Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error," Papers 2012.15367, arXiv.org, revised Feb 2021.
    2. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    3. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference In Differences," NBER Working Papers 25532, National Bureau of Economic Research, Inc.
    4. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org.
    5. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    6. Alberto Abadie & Jinglong Zhao, 2021. "Synthetic Controls for Experimental Design," Papers 2108.02196, arXiv.org.
    7. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    8. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    9. Klößner, Stefan & Pfeifer, Gregor, 2015. "Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113207, Verein für Socialpolitik / German Economic Association.
    10. Bruno Ferman, 2019. "On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls," Papers 1906.06665, arXiv.org, revised May 2020.
    11. Lea Bottmer & Guido Imbens & Jann Spiess & Merrill Warnick, 2021. "A Design-Based Perspective on Synthetic Control Methods," Papers 2101.09398, arXiv.org, revised Oct 2021.
    12. Jianfei Cao & Connor Dowd, 2019. "Estimation and Inference for Synthetic Control Methods with Spillover Effects," Papers 1902.07343, arXiv.org, revised Nov 2019.
    13. Kuosmanen, Timo & Zhou, Xun & Eskelinen, Juha & Malo, Pekka, 2021. "Design Flaw of the Synthetic Control Method," MPRA Paper 106328, University Library of Munich, Germany.
    14. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2018. "Exact and robust conformal inference methods for predictive machine learning with dependent data," CeMMAP working papers CWP16/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Nicolaj S{o}ndergaard Muhlbach & Mikkel Slot Nielsen, 2019. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," Papers 1909.03968, arXiv.org, revised Feb 2021.
    16. Jason Poulos, 2019. "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction," Papers 1903.08028, arXiv.org.
    17. Yinchu Zhu, 2019. "How well can we learn large factor models without assuming strong factors?," Papers 1910.10382, arXiv.org, revised Nov 2019.
    18. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2019. "Inference on average treatment effects in aggregate panel data settings," CeMMAP working papers CWP32/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Vivek F. Farias & Andrew A. Li & Tianyi Peng, 2021. "Learning Treatment Effects in Panels with General Intervention Patterns," Papers 2106.02780, arXiv.org.
    20. Giovanni Peri & Derek Rury & Justin C. Wiltshire, 2020. "The Economic Impact of Migrants from Hurricane Maria," NBER Working Papers 27718, National Bureau of Economic Research, Inc.
    21. Cao, Jing & Ho, Mun S. & Ma, Rong & Teng, Fei, 2021. "When carbon emission trading meets a regulated industry: Evidence from the electricity sector of China," Journal of Public Economics, Elsevier, vol. 200(C).
    22. Justin Wiltshire, 2021. "allsynth: Synthetic control bias-corrections utilities for Stata," 2021 Stata Conference 15, Stata Users Group.
    23. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2018. "A $t$-test for synthetic controls," Papers 1812.10820, arXiv.org, revised Apr 2021.

  13. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2016. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers CWP35/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric estimation of structural functions in nonseparable triangular models," CeMMAP working papers CWP48/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Kaspar Wuthrich & Ying Zhu, 2019. "Omitted variable bias of Lasso-based inference methods: A finite sample analysis," Papers 1903.08704, arXiv.org, revised Sep 2021.
    3. Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2018. "Distribution regression with sample selection, with an application to wage decompositions in the UK," CeMMAP working papers CWP68/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
    5. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    6. Botha, Ferdi & de New, John P. & de New, Sonja C. & Ribar, David C. & Salamanca, Nicolás, 2020. "COVID-19 labour market shocks and their inequality implications for financial wellbeing," GLO Discussion Paper Series 661, Global Labor Organization (GLO).
    7. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2019. "Distributional conformal prediction," Papers 1909.07889, arXiv.org, revised Aug 2021.

  14. Blaise Melly und Kaspar Wüthrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.

    Cited by:

    1. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.

  15. Daniel Burkhard & Christian Schmid & Kaspar Wüthrich, 2015. "Financial incentives and physician prescription behavior: Evidence from dispensing regulations," Diskussionsschriften dp1511, Universitaet Bern, Departement Volkswirtschaft.

    Cited by:

    1. Alexander Ahammer & Ivan Zilic, 2017. "Do Financial Incentives Alter Physician Prescription Behavior? Evidence From Random Patient-GP Allocations," Economics working papers 2017-02, Department of Economics, Johannes Kepler University Linz, Austria.
    2. Boris Kaiser, 2017. "Gender-specific practice styles and ambulatory health care expenditures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(9), pages 1157-1179, December.
    3. Olivia Bodnar & Hugh Gravelle & Nils Gutacker & Annika Herr, 2021. "Financial incentives and prescribing behaviour in primary care," Working Papers 181cherp, Centre for Health Economics, University of York.

Articles

  1. Hiroaki Kaido & Kaspar Wüthrich, 2021. "Decentralization estimators for instrumental variable quantile regression models," Quantitative Economics, Econometric Society, vol. 12(2), pages 443-475, May.
    See citations under working paper version above.
  2. Victor Chernozhukov & Iván Fernández-Val & Blaise Melly & Kaspar Wüthrich, 2020. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 123-137, January.
    See citations under working paper version above.
  3. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    See citations under working paper version above.
  4. Daniel Burkhard & Christian P. R. Schmid & Kaspar Wüthrich, 2019. "Financial incentives and physician prescription behavior: Evidence from dispensing regulations," Health Economics, John Wiley & Sons, Ltd., vol. 28(9), pages 1114-1129, September.
    See citations under working paper version above.
  5. Boes, Stefan & Nüesch, Stephan & Wüthrich, Kaspar, 2015. "Hedonic valuation of the perceived risks of nuclear power plants," Economics Letters, Elsevier, vol. 133(C), pages 109-111.

    Cited by:

    1. Tanaka, Shinsuke & Zabel, Jeffrey, 2018. "Valuing nuclear energy risk: Evidence from the impact of the Fukushima crisis on U.S. house prices," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 411-426.
    2. Zhu, Hongjia & Deng, Yongheng & Zhu, Rong & He, Xiaobo, 2016. "Fear of nuclear power? Evidence from Fukushima nuclear accident and land markets in China," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 139-154.
    3. Ando, Michihito & Dahlberg, Matz & Engström, Gustav, 2017. "The Risks of Nuclear Disaster and Its Impact on Housing Prices," Working Paper Series 2017:2, Uppsala University, Department of Economics.
    4. Tajima, Kayo & Yamamoto, Masashi & Ichinose, Daisuke, 2016. "How do agricultural markets respond to radiation risk? Evidence from the 2011 disaster in Japan," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 20-30.
    5. Hsiao, Cody Yu-Ling & Chen, Hsing Hung, 2018. "The contagious effects on economic development after resuming construction policy for nuclear power plants in Coastal China," Energy, Elsevier, vol. 152(C), pages 291-302.
    6. Chuanwang Sun & Xiaochun Meng & Shuijun Peng, 2017. "Effects of Waste-to-Energy Plants on China’s Urbanization: Evidence from a Hedonic Price Analysis in Shenzhen," Sustainability, MDPI, Open Access Journal, vol. 9(3), pages 1-18, March.
    7. Fekrazad, Amir, 2019. "Earthquake-risk salience and housing prices: Evidence from California," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 104-113.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 27 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (17) 2013-08-31 2014-12-24 2015-08-01 2016-04-04 2016-10-02 2017-03-12 2018-01-08 2018-07-30 2019-01-14 2019-01-14 2019-06-24 2020-01-13 2020-02-24 2020-09-21 2020-11-23 2021-02-01 2021-05-03. Author is listed
  2. NEP-BIG: Big Data (3) 2018-07-30 2019-01-14 2020-01-13
  3. NEP-MAC: Macroeconomics (3) 2013-11-29 2015-07-18 2021-01-11
  4. NEP-ORE: Operations Research (3) 2020-01-13 2020-11-23 2021-05-03
  5. NEP-AGE: Economics of Ageing (2) 2013-11-29 2015-07-18
  6. NEP-ENE: Energy Economics (2) 2020-12-14 2021-01-11
  7. NEP-ENV: Environmental Economics (2) 2020-12-14 2021-01-11
  8. NEP-EXP: Experimental Economics (2) 2020-01-06 2020-04-06
  9. NEP-CDM: Collective Decision-Making (1) 2020-12-14
  10. NEP-CMP: Computational Economics (1) 2018-07-30
  11. NEP-DCM: Discrete Choice Models (1) 2021-03-01
  12. NEP-DGE: Dynamic General Equilibrium (1) 2013-11-29
  13. NEP-GRO: Economic Growth (1) 2021-01-11
  14. NEP-HEA: Health Economics (1) 2015-11-21
  15. NEP-HIS: Business, Economic & Financial History (1) 2021-01-11
  16. NEP-INT: International Trade (1) 2021-01-11
  17. NEP-PBE: Public Economics (1) 2013-11-29
  18. NEP-PUB: Public Finance (1) 2015-07-18
  19. NEP-REG: Regulation (1) 2020-12-14

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(Kaspar Wuthrich) should log into the RePEc Author Service.

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