Anchoring Bias in Recall Data: Evidence from Central America
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to look for a different version below or
for a different version of it.Other versions of this item:
- Susan Godlonton & Manuel A. Hernandez & Mike Murphy, 2016. "Anchoring Bias in Recall Data: Evidence from Central America," Department of Economics Working Papers 2016-11, Department of Economics, Williams College.
- Godlonton, Susan & Hernandez, Manuel A. & Murphy, Mike, 2016. "Anchoring bias in recall data: Evidence from Central America," IFPRI discussion papers 1534, International Food Policy Research Institute (IFPRI).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ye, Xiaoyang & Zhai, Muxin & Feng, Li & Xie, A’na & Wang, Weimin & Wu, Hongbin, 2022. "Still want to be a doctor? Medical student dropout in the era of COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 122-139.
- Delavallade, Clara & Godlonton, Susan, 2023.
"Locking crops to unlock investment: Experimental evidence on warrantage in Burkina Faso,"
Journal of Development Economics, Elsevier, vol. 160(C).
- Delavallade,Clara Anne & Godlonton,Susan, 2020. "Locking Crops to Unlock Investment : Experimental Evidence on Warrantage in Burkina Faso," Policy Research Working Paper Series 9248, The World Bank.
- José Pulido & Tomasz Swiecki, 2019. "Barriers to Mobility or Sorting? Sources and Aggregate Implications of Income Gaps across Sectors and Locations in Indonesia," 2019 Meeting Papers 1298, Society for Economic Dynamics.
- Francisco Ceballos & Manuel A. Hernandez & Cynthia Paz, 2021. "Short‐term impacts of COVID‐19 on food security and nutrition in rural Guatemala: Phone‐based farm household survey evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 52(3), pages 477-494, May.
- Dang, Hai-Anh H & Carletto, Calogero, 2022.
"Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation,"
IZA Discussion Papers
14997, Institute of Labor Economics (IZA).
- Dang, Hai-Anh H. & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," GLO Discussion Paper Series 1020, Global Labor Organization (GLO).
- Hossain, Marup & Mullally, Conner & Mabiso, Athur, 2024. "Occupational and asset adjustments in Tamil Nadu, India: The role of a finance and rebuilding program," World Development, Elsevier, vol. 177(C).
- Arthi, Vellore & Beegle, Kathleen & De Weerdt, Joachim & Palacios-López, Amparo, 2018.
"Not your average job: Measuring farm labor in Tanzania,"
Journal of Development Economics, Elsevier, vol. 130(C), pages 160-172.
- Vellore Arthi & Kathleen Beegle & Joachim De Weerdt & Amparo Palacios-López, 2016. "Not your average job: measuring farm labor in Tanzania," Working Papers of LICOS - Centre for Institutions and Economic Performance 572041, KU Leuven, Faculty of Economics and Business (FEB), LICOS - Centre for Institutions and Economic Performance.
- Arthi, Vellore & Beegle, Kathleen & De Weerdt, Joachim & Palacios-Lopez, Amparo, 2016. "Not your average job: measuring farm labor in Tanzania," IOB Analyses & Policy Briefs 21, Universiteit Antwerpen, Institute of Development Policy (IOB).
- Vellore Arthi & Kathleen Beegle & Joachim De Weerdt & Amparo Palacios-Lopez, 2016. "Not your average job: measuring farm labor in Tanzania," Working Papers of LICOS - Centre for Institutions and Economic Performance 570079, KU Leuven, Faculty of Economics and Business (FEB), LICOS - Centre for Institutions and Economic Performance.
- Arthi,Vellore Shroff & Beegle,Kathleen G. & De Weerdt,Joachim & Palacios-Lopez,Amparo & Arthi,Vellore Shroff & Beegle,Kathleen G. & De Weerdt,Joachim & Palacios-Lopez,Amparo, 2016. "Not your average job: measuring farm labor in Tanzania," Policy Research Working Paper Series 7773, The World Bank.
- Vasilaky, Kathryn & Harou, Aurélie & Alfredo, Katherine & Kapur, Ishita, 2023. "What works for water conservation? Evidence from a field experiment in India," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
- Rao, Lakshman Nagraj & Gentile, Elisabetta & Pipon, Dave & Roque, Jude David & Thuy, Vu Thi Thu, 2020. "The impact of computer-assisted personal interviewing on survey duration, quality, and cost: Evidence from the Viet Nam Labor Force Survey," GLO Discussion Paper Series 605, Global Labor Organization (GLO).
- Godlonton, Susan & Hernandez, Manuel A. & Paz, Cynthia, 2021.
"Can survey design reduce anchoring bias in recall data? Evidence from Malawi,"
IFPRI discussion papers
2055, International Food Policy Research Institute (IFPRI).
- Godlonton, Susie & Hernandez, Manuel A. & Paz, Cynthia, 2022. "Can survey design reduce anchoring bias in recall data? Evidence from Malawi," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322290, Agricultural and Applied Economics Association.
- Mustapha Alhassan & Christopher R. Gustafson & Karina Schoengold, 2022. "Effects of information on smallholder irrigation farmers’ willingness to pay for groundwater protection," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 191-203, March.
- Kaushalendra Kumar & Abhishek Singh & Amy Tsui, 2022. "Measuring contraceptive use in India: Implications of recent fieldwork design and implementation of the National Family Health Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(4), pages 73-110.
More about this item
Keywords
; ; ; ; ;JEL classification:
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
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:oup:ajagec:v:100:y:2018:i:2:p:479-501.. 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.
We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/oup/ajagec/v100y2018i2p479-501..html