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Smartphone use and willingness to adopt digital pest and disease management: Evidence from litchi growers in rural China. (2023). Cai, YI ; Qi, Wene ; Yi, Famin.
In: Agribusiness.
RePEc:wly:agribz:v:39:y:2023:i:1:p:131-147.

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  1. How to avoid sinking in swamp: exploring the intentions of digitally disadvantaged groups to use a new public infrastructure that combines physical and virtual spaces. (2024). Shen, Zhenyang ; Wei, Qizhi ; Xu, Hanyi ; Cao, Cong ; Chu, Chengxiang.
    In: Palgrave Communications.
    RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03684-0.

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  2. Factors Affecting the Adoption of Digital Technology by Farmers in China: A Systematic Literature Review. (2023). Wang, Weiwei ; Cui, Luwen.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:20:p:14824-:d:1258741.

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  3. Adoption of smart farming technologies in field operations: A systematic review and future research agenda. (2023). Yeo, Sook Fern ; Tan, Kim Hua ; Osrof, Hazem Yusuf ; Angappa, Gunasekaran.
    In: Technology in Society.
    RePEc:eee:teinso:v:75:y:2023:i:c:s0160791x23002051.

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  1. Aakvik, A., Heckman, J. J., & Vytlacil, E. J. (2005). Estimating treatment effects for discrete outcomes when responses to treatment vary: An application to Norwegian vocational rehabilitation programs. Journal of Econometrics, 125(1), 15–51. https://doi.org/10.1016/J.JECONOM.2004.04.002.

  2. Aker, J. C. (2010). Information from markets near and far: Mobile phones and agricultural markets in Niger. American Economic Journal: Applied Economics, 2(3), 46–59.

  3. Aker, J. C. (2011). Dial “A” for agriculture: A review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics, 42(6), 631–647.

  4. Aker, J. C., & Ksoll, C. (2016). Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger. Food Policy, 60, 44–51.

  5. Aker, J. C., Ghosh, I., & Burrell, J. (2016). The promise (and pitfalls) of ICT for agriculture initiatives. Agricultural Economics, 47(S1), 35–48. https://doi.org/10.1111/agec.12301.

  6. Annosi, M. C., Brunetta, F., Monti, A., & Nati, F. (2019). Is the trend your friend? An analysis of technology 4.0 investment decisions in agricultural SMEs. Computers in industry, 109, 59–71. https://doi.org/10.1016/J.COMPIND.2019.04.003.
    Paper not yet in RePEc: Add citation now
  7. Arouna, A., Michler, J. D., Yergo, W. G., & Saito, K. (2021). One size fits all? Experimental evidence on the digital delivery of personalized extension advice in Nigeria. American Journal of Agricultural Economics, 103(2), 596–619. https://doi.org/10.1111/AJAE.12151.

  8. Barnes, A., Soto, I. D., Eory, V., Beck, B., Balafoutis, A., Sánchez, B., Vangeyte, J., Fountas, S., Van der Wal, T., & Gómez‐Barbero, M. (2019). Influencing factors and incentives on the intention to adopt precision agricultural technologies within arable farming systems. Environmental Science & Policy, 93, 66–74. https://doi.org/10.1016/J.ENVSCI.2018.12.014.
    Paper not yet in RePEc: Add citation now
  9. Batte, M. T., & Arnholt, M. W. (2003). Precision farming adoption and use in Ohio: Case studies of six leading‐edge adopters. Computers and Electronics in Agriculture, 38(2), 125–139. https://doi.org/10.1016/S0168-1699(02)00143-6.
    Paper not yet in RePEc: Add citation now
  10. Busse, M., Doernberg, A., Siebert, R., Kuntosch, A., Schwerdtner, W., König, B., & Bokelmann, W. (2013). Innovation mechanisms in German precision farming. Precision Agriculture, 15, 403–426.
    Paper not yet in RePEc: Add citation now
  11. Campenhout, B. V. (2017). There is an app for that? The impact of community knowledge workers in Uganda. Information Communication & Society, 20(4), 530–550. https://doi.org/10.1080/1369118X.2016.1200644.
    Paper not yet in RePEc: Add citation now
  12. Campenhout, B. V., Spielman, D. J., & Lecoutere, E. (2021). Information and communication technologies to provide agricultural advice to smallholder farmers: Experimental evidence from Uganda. American Journal of Agricultural Economics, 103(1), 317–337. https://doi.org/10.1002/AJAE.12089.

  13. Carter, D. W., & Milon, J. W. (2005). Price knowledge in household demand for utility services. Land Economics, 81(2), 265–283. https://doi.org/10.3368/LE.81.2.265.

  14. Chuang, J.‐H., Wang, J.‐H., & Liang, C. (2020). Implementation of Internet of Things depends on intention: Young farmers' willingness to accept innovative technology. The International Food and Agribusiness Management Review, 23(2), 253–265. https://doi.org/10.22434/IFAMR2019.0121.

  15. Chuang, J.‐H., Wang, J.‐H., & Liou, Y.‐C. (2020). Farmers’ knowledge, attitude, and adoption of smart agriculture technology in Taiwan. International Journal of Environmental Research and Public Health, 17(19), 7236. https://doi.org/10.3390/IJERPH17197236.

  16. Cole, S. A., & Fernando, A. N. (2021). ‘Mobile'izing agricultural advice technology adoption diffusion and sustainability. The Economic Journal, 131(633), 192–219. https://doi.org/10.1093/EJ/UEAA084.

  17. Cui, M., Pan, S. L., Newell, S., & Cui, L. (2016). Strategy, resource orchestration and e‐commerce enabled social innovation in rural China. Journal of Strategic Information Systems, 26(1), 3–21.
    Paper not yet in RePEc: Add citation now
  18. Deepthi, M. B., & Sreekantha, D. K. (2017). Application of expert systems for agricultural crop disease diagnoses—A review. 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT), 222‐229, https://doi.org/10.1109/ICICCT.2017.7975192.
    Paper not yet in RePEc: Add citation now
  19. FAO. (2002). Lychee production in the Asia‐Pacific region. FAO Regional Office for Asia and the Pacific.
    Paper not yet in RePEc: Add citation now
  20. FAO. (2019). Digital technologies in agriculture and rural areas.
    Paper not yet in RePEc: Add citation now
  21. FAO. (2021). The impact of disasters and crises on agriculture and food security.
    Paper not yet in RePEc: Add citation now
  22. Feder, G., Just, R. E., & Zilberman, D. (1985). Adoption of agricultural innovations in developing countries: A survey. Economic Development and Cultural Change, 33(2), 255–298.

  23. Fu, X., & Akter, S. (2016). The impact of mobile phone technology on agricultural extension services delivery: Evidence from India. Journal of Development Studies, 52(11), 1561–1576. https://doi.org/10.1080/00220388.2016.1146700.

  24. Gardezi, M., & Bronson, K. (2019). Examining the social and biophysical determinants of U.S. Midwestern corn farmers’ adoption of precision agriculture. Precision Agriculture. 21, 549–568.
    Paper not yet in RePEc: Add citation now
  25. Hallau, L., Neumann, M., Klatt, B., Kleinhenz, B., Klein, T., Kuhn, C., Röhrig, M., Bauckhage, C., Kersting, K., Mahlein, A. K., Steiner, U., & Oerke, E. C. (2018). Automated identification of sugar beet diseases using smartphones. Plant Pathology, 67, 399–410.
    Paper not yet in RePEc: Add citation now
  26. Hansen, B. G. (2015). Robotic milking‐farmer experiences and adoption rate in Jæren, Norway. Journal of Rural Studies, 41, 109–117. https://doi.org/10.1016/J.JRURSTUD.2015.08.004.
    Paper not yet in RePEc: Add citation now
  27. Hübler, M., & Hartje, R. (2016). Are smartphones smart for economic development. Economics Letters, 141, 130–133. https://doi.org/10.1016/J.ECONLET.2016.02.001.

  28. Jafari, Y., Koppenberg, M., Hirsch, S., & Heckelei, T. (2022). Markups and export behavior: Firm‐level evidence from the French food processing industry. American Journal of Agricultural Economics, 1‐21. https://doi.org/10.1111/ajae.12292.
    Paper not yet in RePEc: Add citation now
  29. Jenkins, A., Velandia, M., Lambert, D. M., Roberts, R. K., Larson, J. A., English, B. C., & Martin, S. W. (2011). Factors influencing the selection of precision farming information sources by cotton producers. Agricultural and Resource Economics Review, 40, 307–320.

  30. Jensen, H. G., Jacobsen, L.‐B., Pedersen, S. M., & Tavella, E. (2012). Socioeconomic impact of widespread adoption of precision farming and controlled traffic systems in Denmark. Precision Agriculture, 13(6), 661–677. https://doi.org/10.1007/S11119-012-9276-3.
    Paper not yet in RePEc: Add citation now
  31. Jensen, R. (2007). The digital provide: Information (technology), market performance, and welfare in the South Indian fisheries sector. The Quarterly Journal of Economics, 122(3), 879–924.

  32. Jensen, R. T. (2010). Information, efficiency, and welfare in agricultural markets. Agricultural Economics, 41(1), 203–216.

  33. Johannes, A., Picon, A., Alvarez‐Gila, A., Echazarra, J., Rodriguez‐Vaamonde, S., Navajas, A. D., & Ortiz‐Barredo, A. (2017). Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case. Computers and Electronics in Agriculture, 138, 200–209. https://doi.org/10.1016/J.COMPAG.2017.04.013.
    Paper not yet in RePEc: Add citation now
  34. Kernecker, M., Knierim, A., Wurbs, A., Kraus, T., & Borges, F. (2020). Experience versus expectation: Farmers’ perceptions of smart farming technologies for cropping systems across Europe. Precision Agriculture, 21(1), 34–50. https://doi.org/10.1007/S11119-019-09651-Z.
    Paper not yet in RePEc: Add citation now
  35. Kiiza, B., & Pederson, G. (2012). ICT‐based market information and adoption of agricultural seed technologies: Insights from Uganda. Telecommunications Policy, 36(4), 253–259. https://doi.org/10.1016/J.TELPOL.2012.01.001.
    Paper not yet in RePEc: Add citation now
  36. Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS: Wageningen Journal of Life Sciences, 90−91, 1–16. https://doi.org/10.1016/J.NJAS.2019.100315.
    Paper not yet in RePEc: Add citation now
  37. Kutter, T., Tiemann, S., Siebert, R., & Fountas, S. (2011). The role of communication and co‐operation in the adoption of precision farming. Precision Agriculture, 12(1), 2–17. https://doi.org/10.1007/S11119-009-9150-0.
    Paper not yet in RePEc: Add citation now
  38. Larochelle, C., Alwang, J., Travis, E., Barrera, V. H., & Andrade, J. M. D. (2019). Did you really get the message? using text reminders to stimulate adoption of agricultural technologies. Journal of Development Studies, 55(4), 548–564. https://doi.org/10.1080/00220388.2017.1393522.

  39. Leng, C., Ma, W., Tang, J., & Zhu, Z. (2020). ICT adoption and income diversification among rural households in China. Applied Economics, 52, 1–15.

  40. Lokshin, M., & Sajaia, Z. (2011). Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors. The Stata Journal, 11(3), 368–385.

  41. Lowenberg‐DeBoer, J., & Erickson, B. (2019). Setting the record straight on precision agriculture adoption. Agronomy Journal, 111(4), 1552–1569. https://doi.org/10.2134/AGRONJ2018.12.0779.
    Paper not yet in RePEc: Add citation now
  42. Lucas, J. A. (2011). Advances in plant disease and pest management. The Journal of Agricultural Science, 149, 91–114. https://doi.org/10.1017/S0021859610000997.
    Paper not yet in RePEc: Add citation now
  43. Ma, W., & Wang, X. (2020). Internet use, sustainable agricultural practices and rural incomes: Evidence from China. Australian Journal of Agricultural and Resource Economics, 64(4), 1087–1112. https://doi.org/10.1111/1467-8489.12390.

  44. Ma, W., & Zhu, Z. (2020). Internet use and willingness to participate in garbage classification: An investigation of Chinese residents. Applied Economics Letters, 28, 1–6. https://doi.org/10.1080/13504851.2020.1781766.
    Paper not yet in RePEc: Add citation now
  45. Ma, W., Abdulai, A., & Goetz, R. (2017). Agricultural cooperatives and investment in organic soil amendments and chemical fertilizer in China. American Journal of Agricultural Economics, 100(2), 502–520. https://doi.org/10.1093/ajae/aax079.
    Paper not yet in RePEc: Add citation now
  46. Ma, W., Grafton, R. Q., & Renwick, A. (2020). Smartphone use and income growth in rural China: Empirical results and policy implications. Electronic Commerce Research, 20(4), 713‐736. https://doi.org/10.1007/s10660-018-9323-x.

  47. Ma, W., Renwick, A., Nie, P., Tang, J., & Cai, R. (2018). Off‐farm work, smartphone use and household income: Evidence from rural China. China Economic Review, 52, 80–94. https://doi.org/10.1016/j.chieco.2018.06.002.

  48. Ma, W., Zhou, X., & Liu, M. (2020). What drives farmers’ willingness to adopt e‐commerce in rural China? The role of Internet use. Agribusiness, 36(1), 159–163. https://doi.org/10.1002/AGR.21624.

  49. Michels, M., Fecke, W., Feil, J.‐H., Musshoff, O., Pigisch, J., & Krone, S. (2020). Smartphone adoption and use in agriculture: Empirical evidence from Germany. Precision Agriculture, 21(2), 403–425. https://doi.org/10.1007/s11119-019-09675-5.
    Paper not yet in RePEc: Add citation now
  50. Min, S., Liu, M., & Huang, J. (2020). Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers. Journal of Asian Economics, 70, 101219.

  51. Möhring, N., Bozzola, M., Hirsch, S., & Finger, R. (2020). Are pesticides risk decreasing? The relevance of pesticide indicator choice in empirical analysis. Agricultural Economics, 51(3), 429–444. https://doi.org/10.1111/agec.12563.

  52. Mwololo, H. M., Nzuma, J. M., Ritho, C. N., & Aseta, A. (2019). Is the type of agricultural extension services a determinant of farm diversity? Evidence from Kenya, 6, 40–46.
    Paper not yet in RePEc: Add citation now
  53. Nie, P., Ma, W., & Sousa‐Poza, A. (2020). The relationship between smartphone use and subjective well‐being in rural China. Electronic Commerce Research, 21, 1–27. https://doi.org/10.1007/S10660-020-09397-1.
    Paper not yet in RePEc: Add citation now
  54. Norton, G. W., & Alwang, J. (2020). Changes in agricultural extension and implications for farmer adoption of new practices. Applied Economic Perspectives And Policy, 42(1), 8–20. https://doi.org/10.1002/AEPP.13008.

  55. Ogutu, S. O., Okello, J. J., & Otieno, D. J. (2014). Impact of information and communication technology‐based market information services on smallholder farm input use and productivity: The case of Kenya. World Development, 64, 311–321. https://doi.org/10.1016/j.worlddev.2014.06.011.

  56. Pierpaoli, E., Carli, G., Pignatti, E., & Canavari, M. (2013). Drivers of precision agriculture technologies adoption: A literature review. Paper presented at the International Conference on Information and Communication Technologies.
    Paper not yet in RePEc: Add citation now
  57. Pivoto, D., Barham, B., Waquil, P. D., Foguesatto, C. R., Corte, V. F. D., Zhang, D., & Talamini, E. (2019). Factors influencing the adoption of smart farming by Brazilian grain farmers. The International Food and Agribusiness Management Review, 22(4), 571–588. https://doi.org/10.22434/IFAMR2018.0086.

  58. Pongnumkul, S., Chaovalit, P., & Surasvadi, N. (2015). Applications of smartphone‐based sensors in agriculture: A systematic review of research. Journal of Sensors, 2015, 195308. https://doi.org/10.1155/2015/195308.
    Paper not yet in RePEc: Add citation now
  59. Rajkhowa, P., & Qaim, M. (2022). Mobile phones, off‐farm employment and household income in rural India. Journal of Agricultural Economics, 73, 789–805. https://doi.org/10.1111/1477-9552.12480.

  60. Satyanarayan, K., Jagadeeswary, V., Belakeri, P., Babu, A., & Srinivas, Y. (2018). Develop and evaluate use of mobile application for cattle farming: A new generation technology transfer for sustainable dairy production. International Journal of Livestock Research, 8(12), 224–232. https://doi.org/10.5455/IJLR.20180413044608.
    Paper not yet in RePEc: Add citation now
  61. StataPress. (2019). Extended regression models reference manual.
    Paper not yet in RePEc: Add citation now
  62. Takahashi, K., Muraoka, R., & Otsuka, K. (2019). Technology adoption, impact, and extension in developing countries' agriculture: A review of the recent literature. Agricultural Economics, 51, 31–45. https://doi.org/10.1111/agec.12539.

  63. Tey, Y. S., & Brindal, M. K. (2012). Factors influencing the adoption of precision agricultural technologies: A review for policy implications. Precision Agriculture, 13(6), 713–730. https://doi.org/10.1007/S11119-012-9273-6.
    Paper not yet in RePEc: Add citation now
  64. Tsan, M., Totapally, S., Hailu, M., & Addom, B. K. (2019). The digitalisation of African agriculture report 2018–2019. CTA.
    Paper not yet in RePEc: Add citation now
  65. Twumasi, M. A., Jiang, Y., Asante, D., Addai, B., & Fosu, P. (2021). Internet use and farm households food and nutrition security nexus: The case of rural Ghana. Technology in Society, 65(2021), 101592.

  66. Wang, K., Zhang, S., Wang, Z., Liu, Z., & Yang, F. (2013). Mobile smart device‐based vegetable disease and insect pest recognition method. Intelligent Automation and Soft Computing, 19(3), 263–273. https://doi.org/10.1080/10798587.2013.823783.
    Paper not yet in RePEc: Add citation now
  67. WorldBank. (2016). World development report 2016: Digital dividends.
    Paper not yet in RePEc: Add citation now
  68. Zhang, Y., Wang, L., & Duan, Y. (2016). Agricultural information dissemination using ICTs: A review and analysis of information dissemination models in China. Information Processing in Agriculture, 3(1), 17–29. https://doi.org/10.1016/J.INPA.2015.11.002.
    Paper not yet in RePEc: Add citation now
  69. Zhao, Q., Pan, Y., & Xia, X. (2021). Internet can do help in the reduction of pesticide use by farmers: Evidence from rural China. Environmental Science and Pollution Research, 28(6), 7068–7075.
    Paper not yet in RePEc: Add citation now
  70. Zheng, H., & Ma, W. (2021). Smartphone‐based information acquisition and wheat farm performance: Insights from a doubly robust IPWRA estimator. Electronic Commerce Research, 1–26. https://doi.org/10.1007/S10660-021-09481-0.
    Paper not yet in RePEc: Add citation now
  71. Zhu, Z., Ma, W., & Leng, C. (2021). ICT adoption and tourism consumption among rural residents in China. Tourism Economics. https://doi.org/10.1177/13548166211000478.
    Paper not yet in RePEc: Add citation now

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  23. Does graded return-to-work improve sick-listed workers chance of returning to regular working hours?. (2010). McIntosh, James ; Holm, Anders ; Hogelund, Jan .
    In: Journal of Health Economics.
    RePEc:eee:jhecon:v:29:y:2010:i:1:p:158-169.

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  24. Measuring heterogeneity in the returns to education using an education reform. (2010). Vaage, Kjell ; Salvanes, Kjell G ; Aakvik, Arild.
    In: European Economic Review.
    RePEc:eee:eecrev:v:54:y:2010:i:4:p:483-500.

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  25. Part-Time Sick Leave as a Treatment Method?. (2009). Andrén, Thomas ; Andren, T.
    In: Health, Econometrics and Data Group (HEDG) Working Papers.
    RePEc:yor:hectdg:09/01.

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  26. Evaluación del programa de Escuelas Taller y Casas de Oficios a partir de su efecto sobre el tiempo de búsqueda del primer empleo. El caso de Sevilla/. (2009). GONZLEZ, MORALES B. ; BARRIOS GARCÍA, J. A., .
    In: Estudios de Economia Aplicada.
    RePEc:lrk:eeaart:27_1_8.

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  27. Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality. (2009). Lee, Sokbae (Simon) ; Carneiro, Pedro.
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:01/09.

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  28. How to evaluate the impact of part-time sick leave on the probability of recovering. (2009). Andrén, Daniela ; Andren, Daniela.
    In: Working Papers.
    RePEc:hhs:oruesi:2009_013.

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  29. Starting Sick Leave on Part-Time as a Treatment Method?. (2009). Andrén, Thomas ; Andren, Daniela ; Thomas, Andren .
    In: Working Papers.
    RePEc:hhs:oruesi:2009_010.

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  30. Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality. (2009). Lee, Sokbae (Simon) ; Carneiro, Pedro.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:149:y:2009:i:2:p:191-208.

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  31. Dynamic policy analysis. (2008). Heckman, James ; Abbring, Jaap.
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:05/08.

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  32. Norwegian Vocational Rehabilitation Programs: Improving Employability and Preventing Disability?. (2008). Westlie, Lars .
    In: Memorandum.
    RePEc:hhs:osloec:2008_024.

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  33. Part-Time Sick Leave as a Treatment Method?. (2008). Andrén, Thomas ; Andren, Thomas.
    In: Working Papers in Economics.
    RePEc:hhs:gunwpe:0320.

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  34. Assessing Active Labor Market Policies in Transition Economies. (2008). Lehmann, Hartmut ; Kluve, Jochen.
    In: Working Papers.
    RePEc:bol:bodewp:646.

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  35. Identification of treatment effects in Health Economics. (2007). .
    In: Health Economics.
    RePEc:wly:hlthec:v:16:y:2007:i:11:p:1127-1131.

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  36. Estimating Marginal Returns to Higher Education in the UK. (2007). Moffitt, Robert.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:13534.

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  37. Estimating Marginal Treatment Effects in Heterogeneous Populations. (2007). Moffit, Robert .
    In: Economics Working Paper Archive.
    RePEc:jhu:papers:539.

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  38. Employment Effects of Educational Measures for Work-Injured People. (2007). Datta Gupta, Nabanita ; Hogelund, Jan ; Bach, Henning.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp2657.

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  39. Long-term Outcomes of Vocational Rehabilitation Programs: Labor Market Transitions and Job Durations for Immigrants. (2007). Ekhaugen, Tyra .
    In: Memorandum.
    RePEc:hhs:osloec:2007_010.

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  40. Dynamic discrete choice and dynamic treatment effects. (2007). Navarro, Salvador ; Heckman, James.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:136:y:2007:i:2:p:341-396.

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  41. A Reappraisal of the Virtues of Private Sector Employment Programmes. (2006). Jensen, Peter ; Graversen, Brian Krogh .
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp2230.

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  42. Employment promotion measures and the quality of the job match for persons with disabilities. (2006). Muñoz-Bullón, Fernando ; Malo, Miguel ; Muoz-Bullon, Fernando.
    In: Hacienda Pública Española / Review of Public Economics.
    RePEc:hpe:journl:y:2006:v:179:i:4:p:79-111.

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  43. Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond. (2005). Todd, Petra ; Lochner, Lance ; Heckman, James.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:11544.

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  44. Dynamic Discrete Choice and Dynamic Treatment Effects. (2005). Navarro, Salvador ; Heckman, James.
    In: NBER Technical Working Papers.
    RePEc:nbr:nberte:0316.

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  45. Dynamic Discrete Choice and Dynamic Treatment Effects. (2005). Navarro, Salvador ; Heckman, James.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp1790.

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  46. Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond. (2005). Todd, Petra ; Lochner, Lance ; Heckman, James.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp1700.

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  47. Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models. (2003). Navarro, Salvador ; Heckman, James.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:9497.

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  48. Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models. (2003). Navarro, Salvador ; Heckman, James.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp768.

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  49. Using matching, instrumental variables and control functions to estimate economic choice models. (2003). Navarro, Salvador ; Heckman, James.
    In: Working Paper Series.
    RePEc:hhs:ifauwp:2003_004.

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  50. Should we teach old dogs new tricks? the impact of community college retraining on older displaced workers. (2003). Sullivan, Daniel ; Jacobson, Louis S..
    In: Working Paper Series.
    RePEc:fip:fedhwp:wp-03-25.

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