Can survey design reduce anchoring bias in recall data? Evidence from Malawi
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- 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.
References listed on IDEAS
- Alan Beggs & Kathryn Graddy, 2009. "Anchoring Effects: Evidence from Art Auctions," American Economic Review, American Economic Association, vol. 99(3), pages 1027-1039, June.
- repec:lic:licosd:41819 is not listed on IDEAS
- Beegle, Kathleen & Carletto, Calogero & Himelein, Kristen, 2012.
"Reliability of recall in agricultural data,"
Journal of Development Economics, Elsevier, vol. 98(1), pages 34-41.
- Beegle,Kathleen G. & Carletto,Calogero & Kastelic,Kristen Himelein & Beegle,Kathleen G. & Carletto,Calogero & Kastelic,Kristen Himelein, 2011. "Reliability of recall in agricultural data," Policy Research Working Paper Series 5671, The World Bank.
- Abay, Kibrom A. & Abate, Gashaw T. & Barrett, Christopher B. & Bernard, Tanguy, 2019.
"Correlated non-classical measurement errors, ‘Second best’ policy inference, and the inverse size-productivity relationship in agriculture,"
Journal of Development Economics, Elsevier, vol. 139(C), pages 171-184.
- Abay, Kibrom A. & Abate, Gashaw & Barrett, Christopher B. & Bernard, Tanguy, "undated". "Correlated Non-Classical Measurement Errors, ‘Second Best’ Policy Inference and the Inverse Size-Productivity Relationship in Agriculture," 2018 Annual Meeting, August 5-7, Washington, D.C. 274248, Agricultural and Applied Economics Association.
- Barrett, C. & Abay, K. & Abate, G. & Bernard, T., 2018. "Correlated Non-Classical Measurement Errors, Second Best Policy Inference and the Inverse Size-Productivity Relationship in Agriculture," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276985, International Association of Agricultural Economists.
- K.A. Abay & G.T. Abate & C.B. Barrett & Tanguy Bernard, 2019. "Correlated non-classical measurement errors, ‘Second best’ policy inference, and the inverse size-productivity relationship in agriculture," Post-Print hal-03033509, HAL.
- de Nicola, Francesca & Giné, Xavier, 2014.
"How accurate are recall data? Evidence from coastal India,"
Journal of Development Economics, Elsevier, vol. 106(C), pages 52-65.
- de Nicola, Francesca & Gine, Xavier, 2012. "How accurate are recall data ? evidence from coastal India," Policy Research Working Paper Series 6009, The World Bank.
- Francesca De Nicola & Xavier Gene, 2012. "How accurate are recall data? Evidence from coastal India," Working Papers id:5010, eSocialSciences.
- repec:oup:qjecon:v:129:y:2014:i:2:p:939-993. is not listed on IDEAS
- Joachim De Weerdt & Kathleen Beegle & Jed Friedman & John Gibson, 2016. "The Challenge of Measuring Hunger through Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 727-758.
- Krueger, Alan B. & Schkade, David A., 2008.
"The reliability of subjective well-being measures,"
Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1833-1845, August.
- Krueger, Alan B. & Schkade, David A., 2007. "The Reliability of Subjective Well-Being Measures," IZA Discussion Papers 2724, Institute of Labor Economics (IZA).
- Alan B. Krueger & David A. Schkade, 2007. "The Reliability of Subjective Well-Being Measures," NBER Working Papers 13027, National Bureau of Economic Research, Inc.
- Alan B. Krueger & David A. Schkade, 2007. "The Reliability of Subjective Well-Being Measures," Working Papers 64, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Alan B. Krueger & David A. Schkade, 2007. "The Reliability of Subjective Well-Being Measures," Working Papers 516, Princeton University, Department of Economics, Industrial Relations Section..
- Furnham, Adrian & Boo, Hua Chu, 2011. "A literature review of the anchoring effect," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(1), pages 35-42, February.
- Karlan, Dean S. & Zinman, Jonathan, 2012.
"List randomization for sensitive behavior: An application for measuring use of loan proceeds,"
Journal of Development Economics, Elsevier, vol. 98(1), pages 71-75.
- Dean Karlan & Jonathan Zinman, 2011. "List Randomization for Sensitive Behavior: An Application for Measuring Use of Loan Proceeds," NBER Working Papers 17475, National Bureau of Economic Research, Inc.
- Joachim De Weerdt & John Gibson & Kathleen Beegle, 2020. "What Can We Learn from Experimenting with Survey Methods?," Annual Review of Resource Economics, Annual Reviews, vol. 12(1), pages 431-447, October.
- Deininger, Klaus & Carletto, Calogero & Savastano, Sara & Muwonge, James, 2012. "Can diaries help in improving agricultural production statistics? Evidence from Uganda," Journal of Development Economics, Elsevier, vol. 98(1), pages 42-50.
- Susan Godlonton & Manuel A Hernandez & Mike Murphy, 2018.
"Anchoring Bias in Recall Data: Evidence from Central America,"
American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(2), pages 479-501.
- 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).
- 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.
- Beegle, Kathleen & De Weerdt, Joachim & Friedman, Jed & Gibson, John, 2012.
"Methods of household consumption measurement through surveys: Experimental results from Tanzania,"
Journal of Development Economics, Elsevier, vol. 98(1), pages 3-18.
- Beegle, Kathleen & De Weerdt, Joachim & Friedman, Jed & Gibson, John, 2010. "Methods of household consumption measurement through surveys : experimental results from Tanzania," Policy Research Working Paper Series 5501, The World Bank.
- Campbell, Sean D. & Sharpe, Steven A., 2009.
"Anchoring Bias in Consensus Forecasts and Its Effect on Market Prices,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(2), pages 369-390, April.
- Sean D. Campbell & Steven A. Sharpe, 2007. "Anchoring bias in consensus forecasts and its effect on market prices," Finance and Economics Discussion Series 2007-12, Board of Governors of the Federal Reserve System (U.S.).
- P. Frykblom & Jason Shogren, 2000. "An Experimental Testing of Anchoring Effects in Discrete Choice Questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 16(3), pages 329-341, July.
- Kate Ambler & Alan de Brauw & Susan Godlonton, 2018.
"Measuring postharvest losses at the farm level in Malawi,"
Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(1), pages 139-160, January.
- Ambler, Kate & Brauw, Alan de & Godlonton, Susan, 2018. "Measuring postharvest losses at the farm level in Malawi," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(01), January.
- Ambler, Kate & de Brauw, Alan & Godlonton, Susan, 2017. "Measuring postharvest losses at the farm level in Malawi," IFPRI discussion papers 1632, International Food Policy Research Institute (IFPRI).
- George Judge & Laura Schechter, 2009. "Detecting Problems in Survey Data Using Benford’s Law," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
- Douglas Gollin & David Lagakos & Michael E. Waugh, 2014.
"The Agricultural Productivity Gap,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 939-993.
- Douglas Gollin & David Lagakos & Michael E. Waugh, 2013. "The Agricultural Productivity Gap," NBER Working Papers 19628, National Bureau of Economic Research, Inc.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Umer, Hamza & Kurosaki, Takashi, 2024. "‘Update Bias’: Manipulating past information based on the existing circumstances," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 113(C).
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.- 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 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.
- 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.
- 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).
- Douglas Gollin & Christopher Udry, 2021.
"Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture,"
Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
- Gollin, D. & Udry, C., 2018. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277279, International Association of Agricultural Economists.
- Gollin, Douglas & Udry, Christopher, 2019. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," CEPR Discussion Papers 13433, C.E.P.R. Discussion Papers.
- Douglas Gollin & Christopher Udry, 2019. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," CSAE Working Paper Series 2019-01, Centre for the Study of African Economies, University of Oxford.
- Douglas Gollin & Christopher R. Udry, 2019. "Heterogeneity, Measurement Error and Misallocation: Evidence from African Agriculture," NBER Working Papers 25440, National Bureau of Economic Research, Inc.
- Susan Godlonton & Manuel A Hernandez & Mike Murphy, 2018.
"Anchoring Bias in Recall Data: Evidence from Central America,"
American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(2), pages 479-501.
- 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).
- 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.
- Joachim De Weerdt & John Gibson & Kathleen Beegle, 2020. "What Can We Learn from Experimenting with Survey Methods?," Annual Review of Resource Economics, Annual Reviews, vol. 12(1), pages 431-447, October.
- Chaoran Chen & Diego Restuccia & Raül Santaeulàlia-Llopis, 2023.
"Land Misallocation and Productivity,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 441-465, April.
- Raul Santaeulalia-Llopis & Diego Restuccia, 2014. "Land Misallocation and Productivity," 2014 Meeting Papers 1314, Society for Economic Dynamics.
- Diego Restuccia & Raul Santaeulalia-Llopis, 2015. "Land Misallocation and Productivity," Working Papers tecipa-533, University of Toronto, Department of Economics.
- Diego Restuccia & Raul Santaeulalia-Llopis, 2017. "Land Misallocation and Productivity," Working Papers tecipa-575, University of Toronto, Department of Economics.
- Chaoran Chen & Diego Restuccia & Raul Santaeulalia-Llopis, 2022. "Land Misallocation and Productivity," Working Papers tecipa-720, University of Toronto, Department of Economics.
- Chaoran Chen & Diego Restuccia & Raul Santaeulalia-Llopis, 2017. "Land Misallocation and Productivity," NBER Working Papers 23128, National Bureau of Economic Research, Inc.
- Diego Restuccia & Raul Santaeulalia-Llopis, 2015. "Land Misallocation and Productivity," Working Papers tecipa-541, University of Toronto, Department of Economics.
- Diego Restuccia & Raül Santaeulà lia-Llopis, 2017. "Land Misallocation and Productivity," Working Papers 954, Barcelona School of Economics.
- Kilic, Talip & Moylan, Heather & Ilukor, John & Mtengula, Clement & Pangapanga-Phiri, Innocent, 2021.
"Root for the tubers: Extended-harvest crop production and productivity measurement in surveys,"
Food Policy, Elsevier, vol. 102(C).
- Kilic,Talip & Moylan,Heather G. & Ilukor,John & Mtengula,Clement & Pangapanga-Phiri,Innocent, 2018. "Root for the Tubers : Extended-Harvest Crop Production and Productivity Measurement in Surveys," Policy Research Working Paper Series 8618, The World Bank.
- Wollburg, Philip & Tiberti, Marco & Zezza, Alberto, 2021.
"Recall length and measurement error in agricultural surveys,"
Food Policy, Elsevier, vol. 100(C).
- Wollburg,Philip Randolph & Tiberti,Marco & Zezza,Alberto, 2020. "Recall Length and Measurement Error in Agricultural Surveys," Policy Research Working Paper Series 9128, The World Bank.
- Ragui Assaad & Caroline Krafft & Shaimaa Yassin, 2018.
"Comparing retrospective and panel data collection methods to assess labor market dynamics,"
IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-34, December.
- Ragui Assaad & Caroline Krafft & Shaimaa Yassin, 2016. "Comparing Retrospective and Panel Data Collection Methods to Assess Labor Market Dynamics," Working Papers 994, Economic Research Forum, revised Apr 2016.
- Assaad, Ragui & Krafft, Caroline & Yassin, Shaimaa, 2017. "Comparing Retrospective and Panel Data Collection Methods to Assess Labor Market Dynamics," IZA Discussion Papers 11052, Institute of Labor Economics (IZA).
- Abate, Gashaw T. & Abay, Kibrom A. & Chamberlin, Jordan & Sebsibie, Samuel, 2024. "Measuring land rental market participation in smallholder agriculture can survey design innovations improve land market participation statistics?," IFPRI discussion papers 2255, International Food Policy Research Institute (IFPRI).
- Fiala, Nathan & Masselus, Lise, 2022. "Whom to ask? Testing respondent effects in household surveys," Ruhr Economic Papers 935, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Masselus, Lise & Fiala, Nathan, 2024. "Whom to ask? Testing respondent effects in household surveys," Journal of Development Economics, Elsevier, vol. 168(C).
- Peterson-Wilhelm, Bailey & Schwab, Benjamin, 2024. "How does recall bias in farm labor impact separability tests?," Food Policy, Elsevier, vol. 128(C).
- Florence Kondylis & Valerie Mueller & S. Zhu, 2015.
"Measuring agricultural knowledge and adoption,"
Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 449-462, May.
- Kondylis,Florence & Mueller, Valerie & Zhu, Siyao Jessica, 2014. "Measuring agricultural knowledge and adoption," Policy Research Working Paper Series 7058, The World Bank.
- Abate, Gashaw T. & de Brauw, Alan & Hirvonen, Kalle & Wolle, Abdulazize, 2023.
"Measuring consumption over the phone: Evidence from a survey experiment in urban Ethiopia,"
Journal of Development Economics, Elsevier, vol. 161(C).
- Gashaw Abate & Alan de Brauw & Kalle Hirvonen & Abdulazize Wolle, 2022. "Measuring consumption over the phone: Evidence from a survey experiment in urban Ethiopia," WIDER Working Paper Series wp-2022-93, World Institute for Development Economic Research (UNU-WIDER).
- De Magalhães, Leandro & Santaeulàlia-Llopis, Raül, 2018.
"The consumption, income, and wealth of the poorest: An empirical analysis of economic inequality in rural and urban Sub-Saharan Africa for macroeconomists,"
Journal of Development Economics, Elsevier, vol. 134(C), pages 350-371.
- Raül Santaeulà lia-Llopis, 2017. "The Consumption, Income, and Wealth of the Poorest: An Empirical Analysis of Economic Inequality in Rural and Urban Sub-Saharan Africa for Macroeconomists," Working Papers 1000, Barcelona School of Economics.
- Leandro De Magalhaes & Raul Santaeulalia-Llopis, 2018. "The Consumption, Income, and Wealth of the Poorest: An Empirical Analysis of Economic Inequality in Rural and Urban Sub-Saharan Africa for Macroeconomists," 2018 Meeting Papers 459, Society for Economic Dynamics.
- Sam Desiere & Lotte Staelens & Marijke D’Haese, 2016. "When the Data Source Writes the Conclusion: Evaluating Agricultural Policies," Journal of Development Studies, Taylor & Francis Journals, vol. 52(9), pages 1372-1387, September.
- Ugo Pica-Ciamarra & Derek Baker & Nancy Morgan & Alberto Zezza & Carlo Azzarri & Cheikh Ly & Longin Nsiima & Simplice Nouala & Patrick Okello & Joseph Sserugga, 2014. "Investing in the Livestock Sector : Why Good Numbers Matter, A Sourcebook for Decision Makers on How to Improve Livestock Data," World Bank Publications - Reports 17830, The World Bank Group.
- Calogero Carletto & Dean Jolliffe & Raka Banerjee, 2015.
"From Tragedy to Renaissance: Improving Agricultural Data for Better Policies,"
Journal of Development Studies, Taylor & Francis Journals, vol. 51(2), pages 133-148, February.
- Banerjee,Raka & Carletto,Calogero & Jolliffe,Dean Mitchell & Banerjee,Raka & Carletto,Calogero & Jolliffe,Dean Mitchell, 2015. "From tragedy to renaissance : improving agricultural data for better policies," Policy Research Working Paper Series 7150, The World Bank.
- Sofia Amaral & Lelys Dinarte-Diaz & Patricio Dominguez & Steffanny Romero & Santiago M. Perez-Vincent, 2022.
"Talk or Text? Evaluating Response Rates by Remote Survey Method during Covid-19,"
CESifo Working Paper Series
9517, CESifo.
- Monteiro Amaral,Sofia Fernando & Dinarte Diaz,Lelys Ileana & Dominguez,Patricio & Perez-Vincent,Santiago M. & Romero,Steffanny, 2022. "Talk or Text ? Evaluating Response Rates by Remote Survey Method during COVID-19," Policy Research Working Paper Series 9999, The World Bank.
More about this item
Keywords
; ; ; ; ; ; ; ; ; ; ;NEP fields
This paper has been announced in the following NEP Reports:- NEP-HAP-2022-02-21 (Economics of Happiness)
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:fpr:ifprid:2055. 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/ifprius.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/fpr/ifprid/2055.html