آذرنبی، بتول، موسوی، میرحسین و راغفر، حسین، (1392). اندازه گیری غیر خطی تحرک درآمدی و تله فقر: کاربردی از رویکرد شبه ترکیبی. پایاننامه کارشناسی ارشد، دانشگاه الزهرا (س).
باباپور، میترا و راغفر، حسین، (1391). فقر و نابرابری و تحرک درآمدی: موردی از رویکرد شبه پنل. پایاننامه کارشناسی ارشد، دانشگاه الزهرا (س).
رمضانپورامری، ندا؛ راغفر، حسین و یزدانپناه، احمد، (1393). پویایی فقر در ایران، مدل تجزیه فقر به فقر گذرا و مزمن با استفاده از الگوی شبه ترکیبی. پایاننامه کارشناسی ارشد، دانشگاه الزهرا (س).
مرکز آمار ایران، اطلاعات مربوط به هزینه و درآمدهای خانوارهای شهری و روستایی؛ تهران: انتشارات مرکز آمار ایران.
Andriopoulou, E., and Tsakloglou, P., (2011), The Determinants of Poverty Transitions in Europe and the Role of Duration Dependence, IZA Discussion Paper Series No. 5692, Institute for the Study of Labor, Bonn.
Antman, F., and McKenzie, D., (2007), Earnings Mobility and Measurement Error: a Synthetic Panel Approach. Econ. Dev. Cult. Chang. 56 (1), 125–162.
Antolin, P., Dang, T.T., and Oxley, H., (1999(, Poverty Dynamics in Four OECD Countries, OECD Economics Department Working Papers. No. 212.
Bane, M. J., and Ellwood, D. T., (1986), Slipping into and out of Poverty: The Dynamics of Spells, Journal of Human Resources, 21(1), 1-23.
Banks, J, Richard B, and Agar B. (2001). Risk Pooling, Precautionary Saving and Consumption Growth. Review of Economic Studies, 68(4). 757-779.
Biewen, M., (2003), who are the Chronic Poor? Evidence on the Extent and the Composition of Chronic Poverty in Germany, IZA Discussion Paper Series No. 779, Institute for the Study of Labor, Bonn.
Blundell, R., Duncan, A., Meghir, C., (1998). Estimating Labor Supply Responses Using Tax Reforms. Econometrica. 66(4). pp. 827-861.
Bourguignon, F., Goh, C., and Ki, G., (2004). “Estimating Individual Vulnerability to Poverty with Pseudo-Panel Data”, World Bank Policy Research Working Paper No. 3375. Washington DC: The World Bank.
Burgess, S. M., and Propper, C., (1998), an Economic Model of Household Income Dynamics, with an Application to Poverty Dynamics among American Women, CASEpaper No. 9, London.
Cappellari, L., and Jenkins, S. P., (2002), Modelling Low Income Transitions, IZA Discussion Paper Series No. 504, Institute for the Study of Labor, Bonn.
Dang, H. A., Lanjouw, L., (2013). Measuring Poverty Dynamics with Synthetic Panels Based on Cross Sections. World Bank Policy Research Working Paper No. 6504. Washington DC: The World Bank.
Dang, H. A., Lanjouw, L., (2014). Welfare Dynamics Measurement: Two Definitions of a Vulnerability Line. World Bank Policy Research Paper # 6944. Washington DC: The World Bank.
Dang, H. A., Lanjouw, L., Luoto, J., and McKenzie, M., (2014). Using Repeated Cross-Sections to Explore Movements in and out of Poverty. Journal of Development Economics, 107, 112-128.
Dang, h., Dabalen, L. (2018). Is Poverty in Africa Mostly Chronic or Transient? Evidence from Synthetic Panel Data. Journal of Development studies, 1-21.
Dang, h., Ianchovichina, E. (2016). Welfare Dynamics with Synthetic Panels The Case of the Arab World in Transition. Policy Research Working Paper Series 7595, The World Bank.
Deaton, A., (1985). Panel Data from Time Series of Cross-Sections. Journal of Econometrics, 30: 109- 126.
Deaton, A., Paxson, C., (1994). Intertemporal Choice and Inequality. Journal of Political Economy, 102(3), 437- 467.
Duncan, G. J., (1984). Years of Poverty Years of Plenty. Ann Arbor, Mich.: Institute for Social Research.
Eigbiremolen, G. O., (2018). Poverty Trends And Poverty Dynamics: Analysis of Nigerian’s First-Ever National Panel Survey Data. Journal of International Development. 30, 691–706.
Fields, G., Duval-Hernández, R., Rodríguez, S. F., Puerta, M. l. S., (2007). Earnings mobility in Argentina, Mexico, and Venezuela: testing the divergence of earnings and the symmetry of mobility hypotheses. Mimeo. School of Industrial and Labor Relations, Cornell University.
Glewwe, P., 2012. How much of Observed Mobility is Measurement Error? IV Mmethods to Reducemeasurement Error Bias, with an Application to Vietnam. World Bank Econ.Rev. 26 (2), 236–264.
Glewwe, P., and Jacoby, H., (2000). Recommendations for Collecting Panel Data. In Margaret Grosh and Paul Glewwe. (Eds). Designing Household Survey Questionnaires for Developing Countries: Lessons from 15 Years of the Living Standards Measurement Study. Washington DC: The World Bank.
Guell, M., Hu, H., (2006). Estimating the Probability of Leaving Unemployment Using Uncompleted Spells from Repeated Cross-Section Data. Journal of Econometrics, 133, 307–341.
Jenkins, S. P., (2000), Modelling Household Income Dynamics, Journal of Population of Economics, 13, 529-567.
Kalton, G., (2009). Designs for Surveys over Time”. In D. Pfeffermann and C.R. Rao. Handbook of Statistics, Vol. 29A- Sample Surveys: Design, Methods and Applications. North-Holland: Elsevier.
Martin, E. B., and Cowell, F. A., (2006), Static and Dynamic Poverty in Spain, 1993-2000, DARP No. 77, London School of Economics, London.
Mcintosh, S., (2006). Further Analysis of the Returns to Academic and Vocational Qualifications. Oxford Bulletin of Economics and Statistics, 68(2): 225- 251.
McKenzie, D., (2004). Asymptotic Theory for Heterogeneous Dynamic Pseudo-Panels. Journal of Econometrics, 120, 235–262.
Propper, C, Hedley R, and Katherine G. (2001). The Demand for Private Medical Insurance in the UK: A Cohort Analysis. Economic Journal, Royal Economic Society, 111(471), 180-200.
Stevens, A. H., (1994), the Dynamics of Poverty Spells: Updating Bane and Ellwood, the American Economic Review, 84(2), 34-37.