This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Andersen, T.M., Maibom, J., Svarer, M. and Sørensen, A., 2017. Do business cycles have long-term impact for particular cohorts? Labour, 31(3): 309-336.10.1111/labr.12095AndersenT.M.MaibomJ.SvarerM.andSørensenA.2017Do business cycles have long-term impact for particular cohorts?313309–336Open DOISearch in Google Scholar
Arunachalam, R. and Shah, M. 2008. Prostitutes and brides? The American Economic Review Papers and Proceedings, 98(2): 516-522.10.1257/aer.98.2.516ArunachalamR.andShahM.2008Prostitutes and brides?982516–522Open DOISearch in Google Scholar
Arunachalam, R. and Shah, M. 2012. The prostitute’s allure: The return to beauty in commercial sex work. The BE Journal of Economic Analysis & Policy, 12(1): 1-25.ArunachalamR.andShahM.2012The prostitute’s allure: The return to beauty in commercial sex work.1211–2510.1515/1935-1682.3203Search in Google Scholar
Arunachalam, R. and Shah, M. 2013. Compensated for life: Sex work and disease risk. Journal of Human Resources, 48(2): 345-369.ArunachalamR.andShahM.2013Compensated for life: Sex work and disease risk.482345–36910.3368/jhr.48.2.345Search in Google Scholar
Atalay, K. and Barrett, G.F. 2015. The impact of age pension eligibility age on retirement and program dependence: Evidence from an Australian experiment. Review of Economics and Statistics, 97(1): 71-87.10.1162/REST_a_00443AtalayK.andBarrettG.F.2015The impact of age pension eligibility age on retirement and program dependence: Evidence from an Australian experiment.97171–87Open DOISearch in Google Scholar
Bande, R. and López-Mourelo, E., 2015. The impact of worker’s age on the consequences of occupational accidents: empirical evidence using Spanish data. Journal of Labor Research, 36(2): 129-174.10.1007/s12122-015-9199-7BandeR.andLópez-MoureloE.2015The impact of worker’s age on the consequences of occupational accidents: empirical evidence using Spanish data.362129–174Open DOISearch in Google Scholar
Banerjee, S. and Blau, D. 2016. Employment trends by age in the United States: Why are older workers different?. Journal of Human Resources, 51(1):163-199.10.3368/jhr.51.1.163BanerjeeS.andBlauD.2016Employment trends by age in the United States: Why are older workers different?.511163–199Open DOISearch in Google Scholar
Belot, M. and Francesconi, M. 2013. Dating preferences and meeting opportunities in mate choice decisions. Journal of Human Resources, 48(2): 474-508.BelotM.andFrancesconiM.2013Dating preferences and meeting opportunities in mate choice decisions.482474–50810.1353/jhr.2013.0010Search in Google Scholar
Blinder, A.S. and Weiss, Y., 1976. Human capital and labor supply: A synthesis. Journal of Political Economy, 84(3): 449-472.10.1086/260454BlinderA.S.andWeissY.1976Human capital and labor supply: A synthesis.843449–472Open DOISearch in Google Scholar
Castellucci, F., Padula, M. and Pica, G. 2011. The age-productivity gradient: Evidence from a sample of F1 drivers. Labour Economics, 18(4): 464-473.10.1016/j.labeco.2010.09.002CastellucciF.PadulaM.andPicaG.2011The age-productivity gradient: Evidence from a sample of F1 drivers.184464–473Open DOISearch in Google Scholar
Central Statistical Office, Ministry of Health, Tropical Diseases Research Centre, University of Zambia, and Macro International Inc. 2009. Zambia Demographic and Health Survey 2007 Calverton, Maryland, USA: CSO and Macro International Inc.Calverton, Maryland, USACSO and Macro International IncSearch in Google Scholar
Central Statistical Office, Ministry of Health, University of Zambia, and MEASURE Evaluation. 2010. Zambia Sexual Behaviour Survey 2009. Lusaka, Zambia: CSO and MEASURE Evaluation.Lusaka, ZambiaCSO and MEASURE EvaluationSearch in Google Scholar
Choo, Eugene, and Aloysius Siow. 2006. Who marries whom and why. Journal of Political Economy 114(1): 175–201.10.1086/498585ChooEugene,andAloysiusSiow.2006Who marries whom and why.1141175–201Open DOISearch in Google Scholar
Cunningham, S. and Kendall, T.D. 2011a. Prostitution 2.0: The changing face of sex work. Journal of Urban Economics, 69(3): 273-287.CunninghamS.andKendallT.D.2011a693273–28710.1016/j.jue.2010.12.001Search in Google Scholar
Cunningham, S. and Kendall, T.D. 2011b. Men in transit and prostitution: Using political conventions as a natural experiment. The BE Journal of Economic Analysis & Policy, 11(1).CunninghamS.andKendallT.D.2011bMen in transit and prostitution: Using political conventions as a natural experiment.11110.2202/1935-1682.2735Search in Google Scholar
Cunningham, S. and Kendall, T.D. 2017. Prostitution, hours, job amenities and education. Review of Economics of the Household, forthcoming.CunninghamS.andKendallT.D.2017Prostitution, hours, job amenities and education.10.1007/s11150-017-9360-6Search in Google Scholar
Cunningham, S. and Shah, M. 2014. Decriminalizing indoor prostitution: Implications for sexual violence and public health. NBER, Working Paper 20281.CunninghamS.andShahM.2014Decriminalizing indoor prostitution: Implications for sexual violence and public health.10.3386/w20281Search in Google Scholar
De Walque, D. 2009. Does education affect HIV status? Evidence from five African Countries. The World Bank Economic Review, 23(2): 209-233.10.1093/wber/lhp005DeWalque D.2009Does education affect HIV status? Evidence from five African Countries.232209–233Open DOISearch in Google Scholar
Debrulle, J. 2016. The role of entrepreneurship in the context of career trajectories: Moving back into wage employment or into unemployment? Labour, 30(2):180-197.10.1111/labr.12060DebrulleJ.2016The role of entrepreneurship in the context of career trajectories: Moving back into wage employment or into unemployment?302180–197Open DOISearch in Google Scholar
Della Giusta, M., Di Tommaso, M.L., Shima, I. and Strøm, S. 2009a. What money buys: Clients of street sex workers in the US. Applied Economics, 41(18):2261-2277.10.1080/00036840701222561DellaGiusta M.DiTommasoM.L. Shima I. and Strøm S.2009aWhat money buys: Clients of street sex workers in the US.41182261–2277Open DOISearch in Google Scholar
Della Giusta, M., Di Tommaso, M.L. and Strøm, S. 2009b. Who is watching? The market for prostitution services. Journal of Population Economics, 22(2): 501-516.10.1007/s00148-007-0136-9Della GiustaM.DiTommaso> M.L.andStrømS.2009bWho is watching? The market for prostitution services.222501–516Open DOISearch in Google Scholar
Dunkle, K.L., Wingood, G.M., Camp, C.M. and DiClemente, R.J., 2010. Economically motivated relationships and transactional sex among unmarried African American and white women: Results from a US national telephone survey. Public Health Reports, 125(S4):90-100.10.1177/00333549101250S413DunkleK.L.WingoodG.M.CampC.M.andDiClementeR.J.2010Economically motivated relationships and transactional sex among unmarried African American and white women: Results from a US national telephone survey.125S490–100Open DOISearch in Google Scholar
Dupas, P. and Robinson, J. 2012. The (hidden) costs of political instability: Evidence from Kenya’s 2007 election crisis. Journal of Development Economics, 99(2):314-329.10.1016/j.jdeveco.2012.03.003DupasP.andRobinsonJ.2012The (hidden) costs of political instability: Evidence from Kenya’s 2007 election crisis.992314–329Open DOISearch in Google Scholar
Edlund, L. and Korn, E. 2002. A theory of prostitution. Journal of Political Economy, 110(1): 181-214.10.1086/324390EdlundL.andKornE.2002A theory of prostitution.1101181–214Open DOISearch in Google Scholar
Fortson, J. 2008. The gradient in sub-Saharan Africa: Socioeconomic status and HIV/AIDS. Demography, 45(2): 303-322.10.1353/dem.0.0006FortsonJ.2008The gradient in sub-Saharan Africa: Socioeconomic status and HIV/AIDS.452303–322Open DOISearch in Google Scholar
Friedman, W. 2016. Antiretroviral drug access and behavior change. University of California, Berkeley working paper.FriedmanW.2016University of California, Berkeley working paperSearch in Google Scholar
Gersovitz, M., Jacoby, H.G., Seri Dedy, F., Goze Tape, A. 1998. The balance of self-reported heterosexual activity in KAP surveys and the AIDS epidemic in Africa. Journal of the American Statistical Association, 93(443), 875-883.10.1080/01621459.1998.10473744GersovitzM.JacobyH.G.Seri DedyF.Goze TapeA.1998The balance of self-reported heterosexual activity in KAP surveys and the AIDS epidemic in Africa.93443875–883Open DOISearch in Google Scholar
Gertler, P., Shah, M. and Bertozzi, S.M. 2005. Risky business: The market for unprotected commercial sex. Journal of Political Economy, 113(3):518-550.10.1086/429700GertlerP.ShahM.andBertozziS.M.2005Risky business: The market for unprotected commercial sex.1133518–550Open DOISearch in Google Scholar
Gertler, P. and Shah, M. 2009. Sex work and infection: What’s law enforcement got to do with it? Journal of Law and Economics, 54(4): 811-840.GertlerP.andShahM.2009Sex work and infection: What’s law enforcement got to do with it?544811–84010.1086/661634Search in Google Scholar
Gervais, M., Jaimovich, N., Siu, H.E. and Yedid-Levi, Y. 2016. What should I be when I grow up? Occupations and unemployment over the life cycle. Journal of Monetary Economics, 83: 54-70.10.1016/j.jmoneco.2016.08.003GervaisM.JaimovichN.SiuH.E.andYedid-LeviY.2016What should I be when I grow up? Occupations and unemployment over the life cycle.8354–70Open DOISearch in Google Scholar
Ghosal, Sayantan, Smarajit Jana, Anandi Mani, Sandip Mitra, and Sanchari Roy. 2015. Sex workers, self-image and stigma: Evidence from Kolkata brothels. University of Glasgow working paper.GhosalSayantan, Smarajit Jana, Anandi Mani, Sandip Mitra,andSanchariRoy.2015University of Glasgow working paperSearch in Google Scholar
Göbel, C. and Zwick, T. 2013. Are personnel measures effective in increasing productivity of old workers?. Labour Economics, 22: 80-93.10.1016/j.labeco.2012.11.005GöbelC.andZwickT.2013Are personnel measures effective in increasing productivity of old workers?.2280–93Open DOISearch in Google Scholar
Hanoch, G. and Honig, M. 1985. “True” age profiles of earnings: Adjusting for censoring and for period and cohort effects. The Review of Economics and Statistics, 383-394.HanochG.andHonigM.1985“True” age profiles of earnings: Adjusting for censoring and for period and cohort effects.383–39410.2307/1925966Search in Google Scholar
Hellerstein, J.K. and Neumark, D. 1995. Are earnings profiles steeper than productivity profiles? Evidence from Israeli firm-level data. Journal of Human Resources, 89-112.HellersteinJ.K.andNeumarkD.1995Are earnings profiles steeper than productivity profiles?89–11210.2307/146192Search in Google Scholar
Immordino, G. and Russo, F.F. 2015. Regulating prostitution: A health risk approach. Journal of Public Economics, 121: 14-31.10.1016/j.jpubeco.2014.11.001ImmordinoG.andRussoF.F.2015Regulating prostitution: A health risk approach.12114–31Open DOISearch in Google Scholar
Kayeyi, N., Fylkesnes, K., Wiium, N. and Sandøy, I.F. 2013. Decline in sexual risk behaviours among young people in Zambia (2000–2009): Do neighbourhood contextual effects play a role?. PloS One, 8(5): e64881.10.1371/journal.pone.0064881KayeyiN.FylkesnesK.WiiumN.andSandøyI.F.2013Decline in sexual risk behaviours among young people in Zambia (2000–2009): Do neighbourhood contextual effects play a role?.85e64881Open DOISearch in Google Scholar
Konstant, T.L., Rangasami, J., Stacey, M.J., Stewart, M.L. and Nogoduka, C. 2015. Estimating the number of sex workers in South Africa: Rapid population size estimation. AIDS and Behavior, 19(1): 3-15.10.1007/s10461-014-0981-yKonstantT.L.RangasamiJ.StaceyM.J.StewartM.L.andNogodukaC.2015Estimating the number of sex workers in South Africa: Rapid population size estimation.1913–15Open DOISearch in Google Scholar
Kotlikoff, L.J. and Gokhale, J. 1992. Estimating a firm’s age-productivity profile using the present value of workers’ earnings. The Quarterly Journal of Economics, 107(4): 1215-1242.10.2307/2118386KotlikoffL.J.andGokhaleJ.1992Estimating a firm’s age-productivity profile using the present value of workers’ earnings.10741215–1242Open DOISearch in Google Scholar
Lahey, J.N. 2008. Age, women, and hiring: An experimental study. Journal of Human Resources, 43(1): 30-56.LaheyJ.N.2008Age, women, and hiring: An experimental study.43130–5610.3386/w11435Search in Google Scholar
Lazear, E.P., 1981. Agency, earnings profiles, productivity, and hours restrictions. The American Economic Review, 71(4): 606-620.LazearE.P.1981Agency, earnings profiles, productivity, and hours restrictions.714606–620Search in Google Scholar
Logan, T. and Shah, M. 2013. Face value: Information and signaling in an illegal market. Southern Economic Journal, 79(3): 529-564.10.4284/0038-4038-2011.119LoganT.andShahM.2013Face value: Information and signaling in an illegal market.793529–564Open DOISearch in Google Scholar
Lucas, A. and Wilson, N. 2017. Schooling, wealth, risky sexual behavior, and HIV/AIDS in sub-Saharan Africa. University of Delaware working paper.LucasA.andWilsonN.2017University of Delaware working paper10.3386/w24962Search in Google Scholar
MaCurdy, T.E. 1981. An empirical model of labor supply in a life-cycle setting. Journal of Political Economy, 89(6): 1059-1085.10.1086/261023MaCurdyT.E.1981An empirical model of labor supply in a life-cycle setting.8961059–1085Open DOISearch in Google Scholar
Manian, Shanthi. 2018. Health certification in the market for sex work: A field experiment in Dakar, Senegal. Washington State University working paper.ManianShanthi.2018Washington State University working paperSearch in Google Scholar
McKeganey, N. 1994. Why do men buy sex and what are their assessments of the HIV-related risks when they do?. AIDS Care, 6(3): 289-301.10.1080/09540129408258641McKeganeyN.1994Why do men buy sex and what are their assessments of the HIV-related risks when they do?.63289–301Open DOISearch in Google Scholar
Mincer, J. 1974. Schooling, experience, and earnings. New York: National Bureau of Economic Research.MincerJ.1974New YorkNational Bureau of Economic ResearchSearch in Google Scholar
Murphy, K.M. and Welch, F. 1990. Empirical age-earnings profiles. Journal of Labor Economics, 8(2): 202-229.10.1086/298220MurphyK.M.andWelchF.1990Empirical age-earnings profiles.82202–229Open DOISearch in Google Scholar
Pickering, H., Todd, J., Dunn, D., Pepin, J. and Wilkins, A. 1992. Prostitutes and their clients: A Gambian survey. Social Science & Medicine, 34(1): 75-88.10.1016/0277-9536(92)90069-3PickeringH.ToddJ.DunnD.PepinJ.andWilkinsA.1992Prostitutes and their clients: A Gambian survey.34175–88Open DOISearch in Google Scholar
Rao, V., Gupta, I., Lokshin, M. and Jana, S. 2003. Sex workers and the cost of safe sex: The compensating differential for condom use among Calcutta prostitutes. Journal of Development Economics, 71(2): 585-603.10.1016/S0304-3878(03)00025-7RaoV.GuptaI.LokshinM.andJanaS.2003Sex workers and the cost of safe sex: The compensating differential for condom use among Calcutta prostitutes.712585–603Open DOISearch in Google Scholar
Robinson, H. 2003. Are you experienced? British evidence on age-earnings profiles. Applied Economics, 35(9): 1101-1115.10.1080/0003684032000082059RobinsonH.2003Are you experienced? British evidence on age-earnings profiles.3591101–1115Open DOISearch in Google Scholar
Robinson, J. and Yeh, E. 2011. Transactional sex as a response to risk in Western Kenya. American Economic Journal: Applied Economics, 3(1): 35-64.RobinsonJ.andYehE.2011Transactional sex as a response to risk in Western Kenya.3135–6410.1037/e599492012-001Search in Google Scholar
Robinson, J. and Yeh, E. 2012. Risk-coping through sexual networks evidence from client transfers in Kenya. Journal of Human Resources, 47(1): 107-145.RobinsonJ.andYehE.2012Risk-coping through sexual networks evidence from client transfers in Kenya.471107–14510.1596/1813-9450-5582Search in Google Scholar
Rodenberg, R.M. and Stone, D.F. 2011. The short and long-run labor market effects of age eligibility rules: Evidence from women’s professional tennis. Journal of Labor Research, 32(2): 181.10.1007/s12122-011-9108-7RodenbergR.M.andStoneD.F.2011The short and long-run labor market effects of age eligibility rules: Evidence from women’s professional tennis.322181Open DOISearch in Google Scholar
Rupert, P. and Zanella, G. 2015. Revisiting wage, earnings, and hours profiles. Journal of Monetary Economics, 72, pp.114-130.10.1016/j.jmoneco.2015.02.001RupertP.andZanellaG.2015Revisiting wage, earnings, and hours profiles.72pp114–130Open DOISearch in Google Scholar
Schnalzenberger, M., Schneeweis, N., Winter-Ebmer, R. and Zweimüller, M. 2014. Job quality and employment of older people in Europe. Labour, 28(2): 141-162.10.1111/labr.12028SchnalzenbergerM.SchneeweisN.Winter-EbmerR.andZweimüllerM.2014Job quality and employment of older people in Europe.282141–162Open DOISearch in Google Scholar
Shah, M. 2014. Sex work and risky sex in developing countries. In: Encyclopedia of Health Economics, Vol 3. Anthony J. Culyer, ed. San Diego: Elsevier Science Publishers.ShahM.2014Sex work and risky sex in developing countriesInVol 3Anthony J. Culyer, edSan DiegoElsevier Science Publishers10.1016/B978-0-12-375678-7.00317-5Search in Google Scholar
Thornton, R.J., Rodgers, J.D. and Brookshire, M.L. 1997. On the interpretation of age-earnings profiles. Journal of Labor Research, 18(2): 351-365.10.1007/s12122-997-1043-2ThorntonR.J.RodgersJ.D.andBrookshireM.L.1997On the interpretation of age-earnings profiles.182351–365Open DOISearch in Google Scholar
Weiss, T. 1986. The determinants of life cycle earnings: A survey. In: Handbook of Labor Economics, Volume I, O. Ashenfelter and R. Layard, eds. Elsevier Science Publishers.WeissT.1986The determinants of life cycle earnings: A survey.InElsevier Science Publishers10.1016/S1573-4463(86)01014-3Search in Google Scholar
Wilson, N. 2012. Economic booms and risky sexual behavior: Evidence from Zambian copper mining cities. Journal of Health Economics, 31(5): 797-812.10.1016/j.jhealeco.2012.07.007WilsonN.2012Economic booms and risky sexual behavior: Evidence from Zambian copper mining cities.315797–812Open DOISearch in Google Scholar
Vandepitte, J., Lyerla, R., Dallabetta, G., Crabbé, F., Alary, M. and Buvé, A. 2006. Estimates of the number of female sex workers in different regions of the world. Sexually Transmitted Infections, 82(S3): iii18-iii25.16735288VandepitteJ.LyerlaR.DallabettaG.CrabbéF.AlaryM.andBuvéA.2006Estimates of the number of female sex workers in different regions of the world.82S3iii18–iii2510.1136/sti.2006.020081Search in Google Scholar
Vermeer, N., Mastrogiacomo, M. and Van Soest, A. 2016. Demanding occupations and the retirement age. Labour Economics, 43: 159-170.10.1016/j.labeco.2016.05.020VermeerN.MastrogiacomoM.andVan SoestA.2016Demanding occupations and the retirement age.43159–170Open DOISearch in Google Scholar