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Contract Structure, Time Preference, and Technology Adoption

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  • Chowdhury, Shyamal

    (University of Sydney)

  • Smits, Joeri

    (Harvard Kennedy School)

  • Sun, Qigang

    (Yale University)

Abstract

Do constraints to technology adoption vary by behavioral traits? We randomize 150 villages in Bangladesh into being offered standard microcredit, loans with a grace period, the choice between those two contracts, and control. No discernible average effects are detected on the adoption of mechanized irrigation, hybrid seeds, and chemical fertilizers. However, credit access enhances technology adoption among present-biased farmers, whose output and profits increase. These effects are driven by the standard contract and choice villages, as present-biased farmers select out of the grace period contract. This suggests offering commitment and screening applicants on present bias to enhance agricultural technology adoption.

Suggested Citation

  • Chowdhury, Shyamal & Smits, Joeri & Sun, Qigang, 2020. "Contract Structure, Time Preference, and Technology Adoption," IZA Discussion Papers 13590, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp13590
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    1. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    2. Esther Duflo & Michael Kremer & Jonathan Robinson, 2008. "How High Are Rates of Return to Fertilizer? Evidence from Field Experiments in Kenya," American Economic Review, American Economic Association, vol. 98(2), pages 482-488, May.
    3. Dercon, Stefan & Christiaensen, Luc, 2011. "Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia," Journal of Development Economics, Elsevier, vol. 96(2), pages 159-173, November.
    4. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    5. Marshall Burke & Lauren Falcao Bergquist & Edward Miguel, 2019. "Sell Low and Buy High: Arbitrage and Local Price Effects in Kenyan Markets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 785-842.
    6. Shyamal Chowdhury & Matthias Sutter & Klaus F. Zimmermann, 2018. "Evaluating Intergenerational Persistence of Economic Preferences: A Large Scale Experiment with Families in Bangladesh," CESifo Working Paper Series 6914, CESifo.
    7. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    8. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    9. Restuccia, Diego & Yang, Dennis Tao & Zhu, Xiaodong, 2008. "Agriculture and aggregate productivity: A quantitative cross-country analysis," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 234-250, March.
    10. Bertrand, Marianne & Karlan, Dean S. & Mullainathan, Sendhil & Shafir, Eldar & Zinman, Jonathan, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," Center Discussion Papers 28441, Yale University, Economic Growth Center.
    11. Abhijit Banerjee & Sendhil Mullainathan, 2010. "The Shape of Temptation: Implications for the Economic Lives of the Poor," NBER Working Papers 15973, National Bureau of Economic Research, Inc.
    12. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    13. Farrin, Katie & Miranda, Mario J., 2015. "A heterogeneous agent model of credit-linked index insurance and farm technology adoption," Journal of Development Economics, Elsevier, vol. 116(C), pages 199-211.
    14. Greg Fischer, 2013. "Contract Structure, Risk‐Sharing, and Investment Choice," Econometrica, Econometric Society, vol. 81(3), pages 883-939, May.
    15. Bulte, Erwin & Cecchi, Francesco & Lensink, Robert & Marr, Ana & van Asseldonk, Marcel, 2020. "Does bundling crop insurance with certified seeds crowd-in investments? Experimental evidence from Kenya," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 744-757.
    16. Georgios Gerasimou, 2018. "Indecisiveness, Undesirability and Overload Revealed Through Rational Choice Deferral," Economic Journal, Royal Economic Society, vol. 128(614), pages 2450-2479, September.
    17. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    18. Jayachandran, Seema, 2020. "Microentrepreneurship in Developing Countries," IZA Discussion Papers 12943, Institute of Labor Economics (IZA).
    19. Apoorv Gupta & Jacopo Ponticelli & Andrea Tesei, 2020. "Language Barriers, Technology Adoption and Productivity: Evidence from Agriculture in India," NBER Working Papers 27192, National Bureau of Economic Research, Inc.
    20. Oded Galor & Ömer Özak, 2016. "The Agricultural Origins of Time Preference," American Economic Review, American Economic Association, vol. 106(10), pages 3064-3103, October.
    21. Ceballos, Francisco & Kramer, Berber, 2019. "From index to indemnity insurance using digital technology: Demand for picture-based crop insurance:," IFPRI discussion papers 1890, International Food Policy Research Institute (IFPRI).
    22. Stephan Meier & Charles Sprenger, 2010. "Present-Biased Preferences and Credit Card Borrowing," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 193-210, January.
    23. Attila Ambrus & Erica Field & Maximo Torero, 2010. "Muslim Family Law, Prenuptial Agreements, and the Emergence of Dowry in Bangladesh," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1349-1397.
    24. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    25. Luce, Mary Frances, 1998. "Choosing to Avoid: Coping with Negatively Emotion-Laden Consumer Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(4), pages 409-433, March.
    26. Nava Ashraf & Dean Karlan & Wesley Yin, 2006. "Tying Odysseus to the Mast: Evidence From a Commitment Savings Product in the Philippines," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 635-672.
    27. Ligon, Ethan & Sadoulet, Elisabeth, 2018. "Estimating the Relative Benefits of Agricultural Growth on the Distribution of Expenditures," World Development, Elsevier, vol. 109(C), pages 417-428.
    28. John Beshears & James J. Choi & Joshua Hurwitz & David Laibson & Brigitte C. Madrian, 2015. "Liquidity in Retirement Savings Systems: An International Comparison," NBER Chapters, in: Insights in the Economics of Aging, pages 45-75, National Bureau of Economic Research, Inc.
    29. Dmitri Kuksov & J. Miguel Villas-Boas, 2010. "When More Alternatives Lead to Less Choice," Marketing Science, INFORMS, vol. 29(3), pages 507-524, 05-06.
    30. Erica Field & Rohini Pande & John Papp & Natalia Rigol, 2013. "Does the Classic Microfinance Model Discourage Entrepreneurship among the Poor? Experimental Evidence from India," American Economic Review, American Economic Association, vol. 103(6), pages 2196-2226, October.
    31. Michal Bauer & Julie Chytilova & Jonathan Morduch, 2012. "Behavioral Foundations of Microcredit: Experimental and Survey Evidence from Rural India," American Economic Review, American Economic Association, vol. 102(2), pages 1118-1139, April.
    32. Liu, Pan & Andersen, Torben M. & Bhattacharya, Joydeep, 2019. "On the Commitment Needs of Partially Naive Agents," ISU General Staff Papers 201911200800001097, Iowa State University, Department of Economics.
    33. Horrace, William C. & Oaxaca, Ronald L., 2006. "Results on the bias and inconsistency of ordinary least squares for the linear probability model," Economics Letters, Elsevier, vol. 90(3), pages 321-327, March.
    34. Rachael Meager, 2019. "Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments," American Economic Journal: Applied Economics, American Economic Association, vol. 11(1), pages 57-91, January.
    35. Dean Karlan & Ed Kutsoati & Margaret McMillan & Chris Udry, 2011. "Crop Price Indemnified Loans for Farmers: A Pilot Experiment in Rural Ghana," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(1), pages 37-55, March.
    36. Claudia Cerrone & Leonhard K. Lades, 2017. "Sophisticated and naïve procrastination: an experimental study," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2017_08, Max Planck Institute for Research on Collective Goods.
    37. Ortoleva, Pietro, 2013. "The price of flexibility: Towards a theory of Thinking Aversion," Journal of Economic Theory, Elsevier, vol. 148(3), pages 903-934.
    38. Marianne Bertrand & Dean Karlan & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2010. "What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 263-306.
    39. Bruno Crépon & Florencia Devoto & Esther Duflo & William Parienté, 2015. "Estimating the Impact of Microcredit on Those Who Take It Up: Evidence from a Randomized Experiment in Morocco," American Economic Journal: Applied Economics, American Economic Association, vol. 7(1), pages 123-150, January.
    40. Jeremy R. Magruder, 2018. "An Assessment of Experimental Evidence on Agricultural Technology Adoption in Developing Countries," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 299-316, October.
    41. Shawn Cole & Xavier Giné & James Vickery, 2017. "How Does Risk Management Influence Production Decisions? Evidence from a Field Experiment," The Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 1935-1970.
    42. Perez-Arce, Francisco, 2017. "The effect of education on time preferences," Economics of Education Review, Elsevier, vol. 56(C), pages 52-64.
    43. Douglas Gollin & Stephen Parente & Richard Rogerson, 2002. "The Role of Agriculture in Development," American Economic Review, American Economic Association, vol. 92(2), pages 160-164, May.
    44. Dawoon Jung & Tushar Bharati & Seungwoo Chin, 2021. "Does Education Affect Time Preference? Evidence from Indonesia," Economic Development and Cultural Change, University of Chicago Press, vol. 69(4), pages 1451-1499.
    45. McKenzie, David, 2012. "Beyond baseline and follow-up: The case for more T in experiments," Journal of Development Economics, Elsevier, vol. 99(2), pages 210-221.
    46. Abhijit Banerjee & Esther Duflo & Rachel Glennerster & Cynthia Kinnan, 2015. "The Miracle of Microfinance? Evidence from a Randomized Evaluation," American Economic Journal: Applied Economics, American Economic Association, vol. 7(1), pages 22-53, January.
    47. Esther Duflo & Michael Kremer & Jonathan Robinson, 2011. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 101(6), pages 2350-2390, October.
    48. Karen Macours, 2019. "Farmers’ Demand and the Traits and Diffusion of Agricultural Innovations in Developing Countries," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 483-499, October.
    49. Zahidul Islam, K.M. & Sumelius, John & Bäckman, Stefan, 2012. "Do differences in technical efficiency explain the adoption rate of HYV rice? Evidence from Bangladesh," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-18.
    50. Abate, Gashaw Tadesse & Rashid, Shahidur & Borzaga, Carlo & Getnet, Kindie, 2016. "Rural Finance and Agricultural Technology Adoption in Ethiopia: Does the Institutional Design of Lending Organizations Matter?," World Development, Elsevier, vol. 84(C), pages 235-253.
    51. Stefano DellaVigna & Ulrike Malmendier, 2006. "Paying Not to Go to the Gym," American Economic Review, American Economic Association, vol. 96(3), pages 694-719, June.
    52. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    53. Manuela Angelucci & Dean Karlan & Jonathan Zinman, 2015. "Microcredit Impacts: Evidence from a Randomized Microcredit Program Placement Experiment by Compartamos Banco," American Economic Journal: Applied Economics, American Economic Association, vol. 7(1), pages 151-182, January.
    54. Jeffrey D Michler & Emilia Tjernström & Simone Verkaart & Kai Mausch, 2019. "Money Matters: The Role of Yields and Profits in Agricultural Technology Adoption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 710-731.
    55. Liran Einav & Amy Finkelstein & Iuliana Pascu & Mark R. Cullen, 2012. "How General Are Risk Preferences? Choices under Uncertainty in Different Domains," American Economic Review, American Economic Association, vol. 102(6), pages 2606-2638, October.
    56. Lisa Cameron & Manisha Shah, 2015. "Risk-Taking Behavior in the Wake of Natural Disasters," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 484-515.
    57. Alessandro Tarozzi & Jaikishan Desai & Kristin Johnson, 2015. "The Impacts of Microcredit: Evidence from Ethiopia," American Economic Journal: Applied Economics, American Economic Association, vol. 7(1), pages 54-89, January.
    58. Kyle Emerick & Alain de Janvry & Elisabeth Sadoulet & Manzoor H. Dar, 2016. "Technological Innovations, Downside Risk, and the Modernization of Agriculture," American Economic Review, American Economic Association, vol. 106(6), pages 1537-1561, June.
    59. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    60. Fischer, Gregory, 2013. "Contract structure, risk sharing and investment choice," LSE Research Online Documents on Economics 46796, London School of Economics and Political Science, LSE Library.
    61. Eric W. Djimeu & Deo-Gracias Houndolo, 2016. "Power calculation for causal inference in social science: sample size and minimum detectable effect determination," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 8(4), pages 508-527, October.
    62. Erica Field & Rohini Pande & John Papp & Y Jeanette Park, 2012. "Repayment Flexibility Can Reduce Financial Stress: A Randomized Control Trial with Microfinance Clients in India," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
    63. Shawn A Cole & A Nilesh Fernando, 2021. "‘Mobile’izing Agricultural Advice Technology Adoption Diffusion and Sustainability [Dial “a” for agriculture: using ICTs for agricultural extension in development countries]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 192-219.
    64. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    65. Abhijit V. Banerjee & Timothy Besley & Timothy W. Guinnane, 1994. "Thy Neighbor's Keeper: The Design of a Credit Cooperative with Theory and a Test," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 491-515.
    66. Deb, Joyee & Zhou, Jidong, 2018. "Reference Dependence and Choice Overload," MPRA Paper 86261, University Library of Munich, Germany.
    67. Meager, Rachael, 2019. "Understanding the average impact of microcredit expansions: a Bayesian hierarchical analysis of seven randomized experiments," LSE Research Online Documents on Economics 88190, London School of Economics and Political Science, LSE Library.
    68. Ivanic, Maros & Martin, Will, 2018. "Sectoral Productivity Growth and Poverty Reduction: National and Global Impacts," World Development, Elsevier, vol. 109(C), pages 429-439.
    69. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    70. Nakano, Yuko & Magezi, Eustadius F., 2020. "The impact of microcredit on agricultural technology adoption and productivity: Evidence from randomized control trial in Tanzania," World Development, Elsevier, vol. 133(C).
    71. Günther Fink & B. Kelsey Jack & Felix Masiye, 2020. "Seasonal Liquidity, Rural Labor Markets, and Agricultural Production," American Economic Review, American Economic Association, vol. 110(11), pages 3351-3392, November.
    72. Marianna Battaglia & Selim Gulesci & Andreas Madestam, 2024. "Repayment Flexibility and Risk Taking: Experimental Evidence from Credit Contracts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(5), pages 2635-2675.
    73. Kang, Myong-Il & Ikeda, Shinsuke, 2016. "Time discounting, present biases, and health-related behaviors: Evidence from Japan," Economics & Human Biology, Elsevier, vol. 21(C), pages 122-136.
    74. Khondoker A. Mottaleb & Samarendu Mohanty & Andrew Nelson, 2015. "Factors influencing hybrid rice adoption: a Bangladesh case," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), pages 258-274, April.
    75. Yuko Nakano & Eustadius F.Magezi, 2019. "The Impact of Microcredit on Agricultural Technology Adoption and Productivity: Evidence from Randomized Control Trial in Tanzania," Working Papers 193, JICA Research Institute.
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    More about this item

    Keywords

    microfinance; technology adoption; time inconsistency; Bangladesh;
    All these keywords.

    JEL classification:

    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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