When Technological Advance Meets Physician Learning in Drug Prescribing
Author
Abstract
Suggested Citation
Note: EH
Download full text from publisher
References listed on IDEAS
- Janet M. Currie & W. Bentley MacLeod, 2018.
"Understanding Doctor Decision Making: The Case of Depression,"
NBER Working Papers
24955, National Bureau of Economic Research, Inc.
- Janet M. Currie & W. Bentley MacLeod, 2020. "Understanding Doctor Decision Making: The Case of Depression," Working Papers 2020-77, Princeton University. Economics Department..
- Atella, Vincenzo & Belotti, Federico & Bojke, Chris & Castelli, Adriana & Grašič, Katja & Kopinska, Joanna & Piano Mortari, Andrea & Street, Andrew, 2019. "How health policy shapes healthcare sector productivity? Evidence from Italy and UK," Health Policy, Elsevier, vol. 123(1), pages 27-36.
- repec:wly:hlthec:v:26:y:2017:i::p:106-126 is not listed on IDEAS
- Deaton, Angus & Cartwright, Nancy, 2018.
"Understanding and misunderstanding randomized controlled trials,"
Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
- Angus Deaton & Nancy Cartwright, 2016. "Understanding and Misunderstanding Randomized Controlled Trials," Working Papers august_25.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
- Angus Deaton & Nancy Cartwright, 2017. "Understanding and misunderstanding randomized controlled trials," Working Papers 2017-10, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
- Angus Deaton & Nancy Cartwright, 2016. "Understanding and Misunderstanding Randomized Controlled Trials," NBER Working Papers 22595, National Bureau of Economic Research, Inc.
- Fichera, Eleonora & Banks, James & Siciliani, Luigi & Sutton, Matt, 2018.
"Does patient health behaviour respond to doctor effort?,"
Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 225-251.
- Eleonora Fichera & James Banks & Luigi Siciliani & Matt Sutton, 2017. "Does Patient Health Behaviour respond to Doctor’s Effort?," Department of Economics Working Papers 62/17, University of Bath, Department of Economics.
- Imbens, Guido W & Angrist, Joshua D, 1994.
"Identification and Estimation of Local Average Treatment Effects,"
Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
- Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
- Vincenzo Atella & Joanna Kopinska, 2014. "The impact of cost-sharing schemes on drug compliance in Italy: evidence based on quantile regression," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(2), pages 329-339, April.
- Vincenzo Atella & Federico Belotti & Domenico Depalo, 2017.
"Drug therapy adherence and health outcomes in the presence of physician and patient unobserved heterogeneity,"
Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 106-126, September.
- Vincenzo Atella & Federico Belotti & Domenico Depalo, 2011. "Drug therapy adherence and health outcomes in presence of physician and patient unobserved heterogeneity," CEIS Research Paper 186, Tor Vergata University, CEIS, revised 22 Jun 2017.
- Joshua D. Angrist, 2004.
"Treatment effect heterogeneity in theory and practice,"
Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
- Joshua D. Angrist, 2003. "Treatment Effect Heterogeneity in Theory and Practice," NBER Working Papers 9708, National Bureau of Economic Research, Inc.
- Joshua Angrist, 2004. "Treatment Effect Heterogeneity in Theory and Practice," Econometric Society 2004 North American Winter Meetings 186, Econometric Society.
- Angrist, Joshua, 2003. "Treatment Effect Heterogeneity in Theory and Practice," IZA Discussion Papers 851, Institute of Labor Economics (IZA).
- Philip Oreopoulos, 2006. "Estimating Average and Local Average Treatment Effects of Education when Compulsory Schooling Laws Really Matter," American Economic Review, American Economic Association, vol. 96(1), pages 152-175, March.
- Gafni, Amiram & Charles, Cathy & Whelan, Tim, 1998. "The physician-patient encounter: The physician as a perfect agent for the patient versus the informed treatment decision-making model," Social Science & Medicine, Elsevier, vol. 47(3), pages 347-354, August.
- repec:bla:scotjp:v:46:y:1999:i:2:p:111-34 is not listed on IDEAS
- Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2005. "Evaluating the effect of education on earnings: models, methods and results from the National Child Development Survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(3), pages 473-512, July.
- Manski, Charles F, 1990.
"Nonparametric Bounds on Treatment Effects,"
American Economic Review, American Economic Association, vol. 80(2), pages 319-323, May.
- Manski, C.F., 1989. "Nonparametric Bounds On Treatment Effects," Working papers 8909, Wisconsin Madison - Social Systems.
- Atella, Vincenzo & Conti, Valentina, 2014. "The effect of age and time to death on primary care costs: The Italian experience," Social Science & Medicine, Elsevier, vol. 114(C), pages 10-17.
- Jay Bhattacharya & Azeem M. Shaikh & Edward Vytlacil, 2008. "Treatment Effect Bounds under Monotonicity Assumptions: An Application to Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 351-356, May.
- Anthony Scott & Sandra Vick, 1999. "Patients, Doctors and Contracts: An Application of Principal‐Agent Theory to the Doctor‐Patient Relationship," Scottish Journal of Political Economy, Scottish Economic Society, vol. 46(2), pages 111-134, May.
- Propper, Carol & Avdic, Daniel & von Hinke Kessler Scholder, Stephanie & Lagerqvist, Bo & Vikström, Johan, 2019. "Information shocks and provider responsiveness: evidence from interventional cardiology," CEPR Discussion Papers 13627, C.E.P.R. Discussion Papers.
- Guido W. Imbens & Donald B. Rubin, 1997. "Estimating Outcome Distributions for Compliers in Instrumental Variables Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 555-574.
- James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
- Vincenzo Atella & Francesco D’Amico, 2015.
"Who is responsible for your health: is it you, your doctor or the new technologies?,"
The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(8), pages 835-846, November.
- Atella, Vincenzo & D'Amico, Francesco, 2015. "Who is responsible for your health: is it you, your doctor or the new technologies?," LSE Research Online Documents on Economics 60349, London School of Economics and Political Science, LSE Library.
- Dyfrig A. Hughes & Adrian Bagust & Alan Haycox & Tom Walley, 2001. "The impact of non‐compliance on the cost‐effectiveness of pharmaceuticals: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 10(7), pages 601-615, October.
- Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, vol. 70(1), pages 331-341, January.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Daniel Avdic & Katharina E. Blankart, 2021.
"A hard look at soft cost-control measures in healthcare organizations: Evidence from preferred drug policies in Germany,"
Papers
2021-07, Centre for Health Economics, Monash University.
- Avdic, Daniel & Blankart, Katharina, 2021. "A Hard Look at “Soft” Cost‐control Measures in Healthcare Organizations: Evidence from Preferred Drug Policies in Germany," CINCH Working Paper Series (since 2020) 74978, Duisburg-Essen University Library, DuEPublico.
- Domenico Depalo, 2020.
"Explaining the causal effect of adherence to medication on cholesterol through the marginal patient,"
Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 110-126, October.
- Depalo, D.;, 2019. "Explaining the causal effect of adherence to medication on cholesterol through the marginal patient," Health, Econometrics and Data Group (HEDG) Working Papers 19/13, HEDG, c/o Department of Economics, University of York.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Domenico Depalo, 2020.
"Explaining the causal effect of adherence to medication on cholesterol through the marginal patient,"
Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 110-126, October.
- Depalo, D.;, 2019. "Explaining the causal effect of adherence to medication on cholesterol through the marginal patient," Health, Econometrics and Data Group (HEDG) Working Papers 19/13, HEDG, c/o Department of Economics, University of York.
- 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.
- Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022.
"Simple Tests for Selection: Learning More from Instrumental Variables,"
Labour Economics, Elsevier, vol. 79(C).
- Dan A. Black & Joonhwi Joo & Robert LaLonde & Jeffrey Andrew Smith & Evan J. Taylor, 2017. "Simple Tests for Selection: Learning More from Instrumental Variables," CESifo Working Paper Series 6392, CESifo.
- Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
- Dan A. Black & Joonhwi Joo & Robert LaLonde & Jeffrey A. Smith & Evan J. Taylor, 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," NBER Working Papers 30291, National Bureau of Economic Research, Inc.
- Patrick Kline & Christopher R. Walters, 2019.
"On Heckits, LATE, and Numerical Equivalence,"
Econometrica, Econometric Society, vol. 87(2), pages 677-696, March.
- Patrick Kline & Christopher R. Walters, 2017. "On Heckits, LATE, and Numerical Equivalence," Papers 1706.05982, arXiv.org, revised Oct 2018.
- Patrick Kline & Christopher R. Walters, 2018. "On Heckits, LATE, and Numerical Equivalence," CESifo Working Paper Series 6994, CESifo.
- Patrick M. Kline & Christopher R. Walters, 2018. "On Heckits, LATE, and Numerical Equivalence," NBER Working Papers 24477, National Bureau of Economic Research, Inc.
- Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
- Atella, Vincenzo & Belotti, Federico & Giaccherini, Matilde & Medea, Gerardo & Nicolucci, Antonio & Sbraccia, Paolo & Mortari, Andrea Piano, 2024. "Lifetime costs of overweight and obesity in Italy," Economics & Human Biology, Elsevier, vol. 53(C).
- Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
- Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015.
"Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training,"
IZA Discussion Papers
9511, Institute of Labor Economics (IZA).
- Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," GLO Discussion Paper Series 93, Global Labor Organization (GLO).
- Arthur Lewbel, 2019.
"The Identification Zoo: Meanings of Identification in Econometrics,"
Journal of Economic Literature, American Economic Association, vol. 57(4), pages 835-903, December.
- Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
- Nobel Prize Committee, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
- Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024.
"Policy evaluation with multiple instrumental variables,"
Journal of Econometrics, Elsevier, vol. 243(1).
- Magne Mogstad & Alexander Torgovitsky & Christopher R. Walters, 2020. "Policy Evaluation with Multiple Instrumental Variables," Working Papers 2020-99, Becker Friedman Institute for Research In Economics.
- Magne Mogstad & Alexander Torgovitsky & Christopher R. Walters, 2020. "Policy Evaluation with Multiple Instrumental Variables," NBER Working Papers 27546, National Bureau of Economic Research, Inc.
- Stefan Boes, 2013.
"Nonparametric analysis of treatment effects in ordered response models,"
Empirical Economics, Springer, vol. 44(1), pages 81-109, February.
- Stefan Boes, 2007. "Nonparametric Analysis of Treatment Effects in Ordered Response Models," SOI - Working Papers 0709, Socioeconomic Institute - University of Zurich.
- Wang, Xintong & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2025.
"The effects of Vietnam-era military service on the long-term health of veterans: A bounds analysis,"
Journal of Health Economics, Elsevier, vol. 101(C).
- Xintong Wang & Carlos A. Flores & Alfonso Flores-Lagunes, 2020. "The Effects of Vietnam-Era Military Service on the Long-Term Health of Veterans: A Bounds Analysis," Center for Policy Research Working Papers 234, Center for Policy Research, Maxwell School, Syracuse University.
- Wang, Xintong & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2021. "The Effects of Vietnam-Era Military Service on the Long-Term Health of Veterans: A Bounds Analysis," GLO Discussion Paper Series 764, Global Labor Organization (GLO).
- Wang, Xintong & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2021. "The Effects of Vietnam-Era Military Service on the Long-Term Health of Veterans: A Bounds Analysis," IZA Discussion Papers 14045, Institute of Labor Economics (IZA).
- Federico Belotti & Joanna Kopinska & Alessandro Palma & Andrea Piano Mortari, 2022.
"Health status and the Great Recession. Evidence from electronic health records,"
Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1770-1799, August.
- Federico Belotti & Joanna Kopinska & Alessandro Palma & Andrea Piano Mortari, 2018. "Health Status and the Great Recession. Evidence from Electronic Health Records," CEIS Research Paper 425, Tor Vergata University, CEIS, revised 16 Dec 2020.
- Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
- 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.
- 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.
- Ismael Mourifie & Yuanyuan Wan, 2015. "(Partially) Identifying potential outcome distributions in triangular systems," Working Papers tecipa-532, University of Toronto, Department of Economics.
- Denni Tommasi & Arthur Lewbel & Rossella Calvi, 2017. "LATE with Mismeasured or Misspecified Treatment: An application to Women's Empowerment in India," Working Papers ECARES ECARES 2017-27, ULB -- Universite Libre de Bruxelles.
- Lina Zhang & David T. Frazier & D.S. Poskitt & Xueyan Zhao, 2025.
"Decomposing identification gains and evaluating instrument identification power for partially identified average treatment effects,"
Econometric Reviews, Taylor & Francis Journals, vol. 44(7), pages 915-938, August.
- Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
- Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2021. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 21/21, Monash University, Department of Econometrics and Business Statistics.
- Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 34/20, Monash University, Department of Econometrics and Business Statistics.
- Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2018. "Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters," Econometrica, Econometric Society, vol. 86(5), pages 1589-1619, September.
More about this item
JEL classification:
- I1 - Health, Education, and Welfare - - Health
- I12 - Health, Education, and Welfare - - Health - - - Health Behavior
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
NEP fields
This paper has been announced in the following NEP Reports:- NEP-HEA-2019-09-09 (Health Economics)
- NEP-ICT-2019-09-09 (Information and Communication Technologies)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:26202. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/nbr/nberwo/26202.html