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Caregiving subsidies and spousal early retirement intentions. (2022). Costa-Font, Joan ; Vilaplana-Prieto, Cristina ; costa -Font, Joan .
In: LSE Research Online Documents on Economics.
RePEc:ehl:lserod:114908.

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  1. Do Public Caregiving Subsidies and Supports affect the Provision of Care and Transfers?. (2022). Jimenez-Martin, Sergi ; Costa-Font, Joan ; Vilaplana-Prieto, Cristina ; costa -Font, Joan .
    In: Journal of Health Economics.
    RePEc:eee:jhecon:v:84:y:2022:i:c:s0167629622000583.

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  12. Black dashed line represents the density functions of working hours per week for non-caregivers before the implementation of the SAAD (2004-2006).
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  13. Black dashed line represents the predicted probability of early retirement intention for caregivers who are public workers in the period 2007-2011 (after the implementation of the SAAD, but before the budgetary cuts and the early retirement reform).
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  14. Black dashed vertical line represents the first SHARE wave that gathers the effect of budgetary cuts of SAAD and restrictions in access to early retirement for workers in the private sector .4 .5 .6 .7 .8 .9 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Year Treat. group & public sector Treat. group & public sector Control group & public sector Control group & private sector All sample .5 .55 .6 .65 .7 .75 .8 .85 .9 .95 1 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Year Treat. group & public sector Treat. group & private sector Control group & public sector Control group & private sector Men .2 .4 .6 .8 1 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Year Treat. group & public sector Treat. group & private sector Control group & public sector Control group & private sector Women Figure 4. Kernel density functions for the number of working hours per wave.
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  15. Black straight line represents the density functions of working hours per week for non-caregivers after the implementation of the SAAD (2007-2011). 0 .05 .1 .15 .2 Density 20 30 40 50 Worked hours per week Treatment group. 2004-2006 Control group. 2004-2006 Treatment group. 2007-2011 Control group. 2007-2011 Short term: 2004-2011
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  16. Black straight line represents the predicted probability of early retirement intention for caregivers who are public workers in the period 2013-2017 (after budgetary cuts and early retirement reform). .5 .6 .7 .8 .9 Pr (
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  37. Figure 5. Effect of the implementation of the SAAD: 2004-2011. Effect of the amount of caregiving subsidy (left) and the ratio between caregiving subsidy and caregiver’s employment income (right).
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  38. Figure 6. Effect of budgetary cuts in SAAD and early retirement reforms for private workers: 2007-2017. Effect of the amount of caregiving subsidy (left) and the ratio between caregiving subsidy and caregiver’s employment income (right) distinguishing between private and public workers.
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  39. For a better understanding of the amount of caregiver allowance and disability allowance, they can be compared with minimum wage: 460.50 €/month (2004), 540.90 €/month (2006), 570.60 €/month (2007), 641.40 €/month (2011), 645.30 €/month (2013) (nominal euros).
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  76. Note: Predicted probability of early retirement obtained after estimating the short-term model (2004-2011) using the specification M5. Caregiving subsidy in the pre-reform period was lower than 4,000 euros/year. That’s why predicted probabilities have not been computed for higher amounts of the caregiving subsidy in the pre-reform period. Red dashed line represents the predicted probability of retirement intention for women before the implementation of the SAAD (20042006) . Red straight line represents the predicted probability of retirement intention for women after the implementation of the SAAD (20072011) . Black dashed line represents the predicted probability of retirement intention for men before the implementation of the SAAD (20042006) . Black straight line represents the predicted probability of retirement intention for men after the implementation of the SAAD (20072011) .
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  77. Note: Predicted probability of early retirement obtained after estimating the short-term model (2007-2017) using the specification M5.
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  86. Red dashed line represents the density functions of working hours per week for caregivers before the implementation of the SAAD (2004-2006).
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  87. Red dashed line represents the predicted probability of early retirement intention for caregivers who are private workers in the period 2007-2011 (after the implementation of the SAAD, but before the budgetary cuts and the early retirement reform).
    Paper not yet in RePEc: Add citation now
  88. Red straight line represents the density functions of working hours per week for caregivers after the implementation of the SAAD (2007-2011).
    Paper not yet in RePEc: Add citation now
  89. Red straight line represents the predicted probability of early retirement intention for caregivers who are private workers in the period 2013-2017 (after budgetary cuts and early retirement reform).
    Paper not yet in RePEc: Add citation now
  90. Retiremetn intention ) .1 .15 .2 .25 .3 .35 .4 .45 .5 .55 .6 .65 .7 .75 .8 .85 .9 .95 1 Ratio caregiving allowance / income from employment Women. 2004-2006 Men. 2004-2011 Women. 2007-2011 Men. 2007-2011 .6 .65 .7 .75 PR (Retirement intention) 2 2.5 3 3.5 4 4.5 5 5.5 6 Caregiving allowance (€1,000; 2012) Private worker. 2013-2017 Public worker. 2013-2017 Private worker. 2007-2011 Public worker. 2007-2011 .6 .7 .8 .9 Pr (Retirement intention) .1 .2 .3 .4 .5 .6 .7 .8 .9 1 Ratio caregiving allowance / Income from employment Private worker. 2013-2017 Public worker. 2013-2017 Private worker. 2007-2011 Pubic worker. 2007-2011
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  99. Table 3. Effects of SAAD on early retirement in the short term (2004-2011) and long-term (2004-2017) using as explanatory variables the “amount of caregiving subsidy (CA)” and the “ratio between caregiving subsidy with respect to caregiver’s income”.
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  100. Table A2. Descriptive statistics. 2004-2017 Total Non caregivers Caregivers Total Private sector Public sector Respondent characteristics Early retirement intention 66.82 66.70 67.04 65.45 67.52 Man 54.82 57.06 60.36 44.99 42.06 Woman 45.18 42.94 39.64 55.01 57.94 Age 58.36 58.33 58.36 58.22 58.56 (4.65) (4.65) (4.70) (4.46) (4.65) Working in Private sector 79.62 79.37 100.00 0.00 80.57 Public sector 20.38 20.63 0.00 100.00 19.43 Working hours per week 37.70 37.95 38.41 36.27 33.03 Reduced workday 23.34 22.69 24.57 15.57 42.25 Professional situation Blue collar 79.76 79.57 85.59 57.54 80.85 White collar 20.24 20.43 14.41 42.46 19.15 Consultation with doctor last year 82.61 82.66 81.02 88.66 82.27
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  101. Table B2. Heterogeneity results. Estimation of the difference-in-difference model for budgetary cuts and early retirement reform for private workers long-term: 2004-2017.
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  102. The dependency degree is approximated using Katz’s Index (Katz, 1983). The Katz Index determines functional status as a measurement of the ability to perform six daily living activities independently. We have computed this index using the information on daily living activities provided by SHARE. The Katz’s Index considers six different activities of daily living. The value 0 indicates that the individual performs all activities independently, whereas the value 6 indicates that the individual needs help for all activities.
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  103. Throughout the two consecutive reforms, between 2011 and 2013, early retirement for private sector workers was restricted, creating a double access route: by company restructuring or by the will of the worker. However, early retirement conditions for public sector workers have not changed. It was possible to access retirement through company restructuring as long as age was lower, by a maximum of four years, than the age that, in each case, was applicable for the person to legally access retirement. Furthermore, the accreditation of an effective contribution period increased from 30 to 33 years of contribution. The pre-reform discounts were maintained so that for each year in advance, the pension was reduced between 6% and 7.5%.
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    RePEc:spr:eujhec:v:23:y:2022:i:3:d:10.1007_s10198-021-01370-5.

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  4. Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult ?Social Care Outcomes Toolkit for carers (ASCOT-Carer). (2022). Saloniki, Eirini-Christina ; Linnosmaa, Ismo ; Jokimaki, Hanna ; Nguyen, Lien ; Forder, Julien ; Trukeschitz, Birgit ; Burge, Peter ; Lu, Hui ; Malley, Juliette ; Batchelder, Laurie.
    In: The European Journal of Health Economics.
    RePEc:spr:eujhec:v:23:y:2022:i:3:d:10.1007_s10198-021-01356-3.

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  5. Caregiving Subsidies and Spousal Early Retirement Intentions. (2022). Costa-Font, Joan ; Vilaplana-Prieto, Cristina ; costa -Font, Joan .
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp15339.

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  6. Differences in the Use of Formal and Informal Care Services among Older Adults after the Implementation of the Dependency Act in Spain. (2022). Rodriguez-Sanchez, Beatriz ; Pascual, Marta ; Cantarero, David.
    In: Hacienda Pública Española / Review of Public Economics.
    RePEc:hpe:journl:y:2022:v:240:i:1:p:61-93.

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  7. The Working Informal Caregiver Model: A Mixed Methods Approach to Explore Future Informal Caregiving by Working Caregivers. (2022). , Henk ; Henk, ; Vos, Eline E ; Proper, Karin I ; van der Beek, Allard J ; de Bruin, Simone R.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:6:p:3519-:d:773041.

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  8. Caregiving subsidies and spousal early retirement intentions. (2022). Costa-Font, Joan ; Vilaplana-Prieto, Cristina ; costa -Font, Joan .
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:114908.

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  9. The old-age pension household replacement rate in Belgium. (2022). Brown, Alessio ; Fraikin, Anne-Lore.
    In: The Journal of the Economics of Ageing.
    RePEc:eee:joecag:v:23:y:2022:i:c:s2212828x22000342.

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  10. Revisiting longer-term health effects of informal caregiving: Evidence from the UK. (2022). Bom, Judith ; Stockel, Jannis.
    In: The Journal of the Economics of Ageing.
    RePEc:eee:joecag:v:21:y:2022:i:c:s2212828x21000360.

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  11. .

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  16. Does universal long-term care insurance boost female labor force participation? Macro-level evidence. (2021). Yoshihiro, Kaneko ; Masato, Furuichi ; Michihito, Ando.
    In: IZA Journal of Labor Policy.
    RePEc:vrs:izajlp:v:11:y:2021:i:1:p:50:n:1.

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  17. Informal care at old age at home and in nursing homes: determinants and economic value.. (2021). Tenand, Marianne ; Roquebert, Quitterie.
    In: Working Papers of BETA.
    RePEc:ulp:sbbeta:2021-51.

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  18. Does Unpaid Caregiving Erode Working Hours Among Middle-Aged Chinese Adults?. (2021). Coyte, Peter C ; Fu, Rui ; Chai, Huamin.
    In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
    RePEc:spr:soinre:v:157:y:2021:i:3:d:10.1007_s11205-021-02692-w.

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  19. “In Good Times and in Bad, in Sickness and in Health”: A Longitudinal Analysis on Spousal Caregiving and Life Satisfaction. (2021). Wolbring, Tobias ; Gerlich, Regina.
    In: Journal of Happiness Studies.
    RePEc:spr:jhappi:v:22:y:2021:i:3:d:10.1007_s10902-020-00281-1.

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  20. Women’s Family Care Responsibilities, Employment and Health: A Tale of Two Countries. (2021). Mussida, Chiara ; Patimo, Raffaella.
    In: Journal of Family and Economic Issues.
    RePEc:kap:jfamec:v:42:y:2021:i:3:d:10.1007_s10834-020-09742-4.

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  21. Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult ?Social Care Outcomes Toolkit for carers (ASCOT-Carer). (2021). Jokimaki, Hanna ; Nguyen, Lien ; Forder, Julien ; Trukeschitz, Birgit ; Burge, Peter ; Lu, Hui ; Malley, Juliette ; Batchelder, Laurie ; Saloniki, Eirini Christina ; Linnosmaa, Ismo.
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:111885.

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  22. Is the grass greener on the other side? The health impact of providing informal care in the UK and the Netherlands. (2021). Stöckel, Jannis ; Stockel, Jannis ; Bom, Judith.
    In: Social Science & Medicine.
    RePEc:eee:socmed:v:269:y:2021:i:c:s0277953620307814.

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  23. Juggling paid work and elderly care provision in Japan: Does a flexible work environment help family caregivers cope?. (2021). Niimi, Yoko.
    In: Journal of the Japanese and International Economies.
    RePEc:eee:jjieco:v:62:y:2021:i:c:s0889158321000502.

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  24. The heterogeneous effect of retirement on informal care behavior. (2020). Fontaine, Romeo ; Bergeot, Julien.
    In: Health Economics.
    RePEc:wly:hlthec:v:29:y:2020:i:10:p:1101-1116.

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  25. OInformal caregivers and life satisfaction: Empirical Evidence from the Netherlands.. (2020). Blaise, Marie ; Dillenseger, Laetitia.
    In: Working Papers of BETA.
    RePEc:ulp:sbbeta:2020-55.

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  26. Sick of my parents? Consequences of parental ill health on adult children. (2020). Noren, Anna.
    In: Working Paper Series.
    RePEc:hhs:ifauwp:2020_001.

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  27. The kids are alright - labour market effects of unexpected parental hospitalisations in the Netherlands. (2020). Van Doorslaer, Eddy ; Garcia-Gomez, Pilar ; Bakx, Pieter ; Rellstab, Sara.
    In: Journal of Health Economics.
    RePEc:eee:jhecon:v:69:y:2020:i:c:s0167629618304442.

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  28. Long-run consequences of informal elderly care and implications of public long-term care insurance. (2019). Korfhage, Thorben.
    In: Ruhr Economic Papers.
    RePEc:zbw:rwirep:813.

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  29. Long-run consequences of informal elderly care and implications of public long-term care insurance. (2019). Korfhage, Thorben.
    In: Health, Econometrics and Data Group (HEDG) Working Papers.
    RePEc:yor:hectdg:19/17.

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  30. When Life Happens: Investigating Short and Long-Term Effects of Life Stressors on Life Satisfaction in a Large Sample of Norwegian Mothers. (2019). Vitterso, Joar ; Nes, Ragnhild Bang ; Roysamb, Espen ; Dyrdal, Gunvor Marie.
    In: Journal of Happiness Studies.
    RePEc:spr:jhappi:v:20:y:2019:i:6:d:10.1007_s10902-018-0024-x.

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  31. The economic value of time of informal care and its determinants (The CUIDARSE Study). (2019). oliva, juan ; del Mar, Maria ; Metcalfe, Isabel Mosquera ; del Rio, Maria ; Garcia-Mochon, Leticia ; Pea-Longobardo, Luz Maria ; Oliva-Moreno, Juan.
    In: PLOS ONE.
    RePEc:plo:pone00:0217016.

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  32. Formal Care of the Elderly and Health Outcomes Among Adult Daughters. (2019). Grotting, Maja Weemes ; Abrahamsen, Signe A.
    In: Working Papers in Economics.
    RePEc:hhs:bergec:2019_002.

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  33. Labor supply and fiscal effects of partial retirement – The role of entry age and the timing of pension benefits. (2019). Tolan, Songul ; Haan, Peter.
    In: The Journal of the Economics of Ageing.
    RePEc:eee:joecag:v:14:y:2019:i:c:s2212828x18300537.

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  34. Long-Run Consequences of Informal Elderly Care and Implications of Public Long-Term Care Insurance. (2019). Korfhage, Thorben.
    In: SOEPpapers on Multidisciplinary Panel Data Research.
    RePEc:diw:diwsop:diw_sp1051.

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  35. Womens perspectives on home‐based care for family members with chronic illness: An Interpretive phenomenology study. (2018). Arpanantikul, Manee.
    In: Nursing & Health Sciences.
    RePEc:wly:nuhsci:v:20:y:2018:i:4:p:494-501.

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  36. Labor supply effects of long‐term care reform in Germany. (2018). Korfhage, Thorben ; Geyer, Johannes.
    In: Health Economics.
    RePEc:wly:hlthec:v:27:y:2018:i:9:p:1328-1339.

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  37. The kids are alright - labour market effects of unexpected parental hospitalisations in the Netherlands. (2018). Garcia-Gomez, Pilar ; van Doorslaer, Eddy ; Bakx, Pieter ; Rellstab, Sara .
    In: Tinbergen Institute Discussion Papers.
    RePEc:tin:wpaper:20180049.

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  38. Informal caregiving and markers of adiposity in the UK Household Longitudinal Study. (2018). Webb, Elizabeth ; McMunn, Anne ; Lacey, Rebecca E.
    In: PLOS ONE.
    RePEc:plo:pone00:0200777.

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  39. Economic burden of caregiving for persons with severe mental illness in sub-Saharan Africa: A systematic review. (2018). Nonvignon, Justice ; Tozan, Yesim ; Agyemang, Samuel Agyei ; Addo, Rebecca.
    In: PLOS ONE.
    RePEc:plo:pone00:0199830.

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  40. Why are older informal carers in better health? Solving a causality problem. (2018). Srakar, Andrej ; Nagode, Mateja.
    In: Public Sector Economics.
    RePEc:ipf:psejou:v:42:y:2018:i:3:p:303-323.

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  41. The hidden economics of informal elder-care in the United States. (2018). Cecchini, Michele.
    In: The Journal of the Economics of Ageing.
    RePEc:eee:joecag:v:12:y:2018:i:c:p:218-224.

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  42. How does informal caregiving affect daughters’ employment and mental health in Japan?. (2018). Usui, Emiko ; Oshio, Takashi.
    In: Journal of the Japanese and International Economies.
    RePEc:eee:jjieco:v:49:y:2018:i:c:p:1-7.

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  43. Women’s care responsibilities, employment and health: a two countries’ tale. (2018). Mussida, Chiara ; Patimo, Raffaella.
    In: DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali.
    RePEc:ctc:serie2:dises141.

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  44. .

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  45. Does the negative effect of caregiving on work persist over time?. (2017). Korfhage, Thorben ; Heger, Dörte.
    In: Ruhr Economic Papers.
    RePEc:zbw:rwirep:703.

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  46. Long-term care reform and the labor supply of informal caregivers – evidence from a quasi-experiment. (2017). Korfhage, Thorben ; Geyer, Johannes.
    In: Health, Econometrics and Data Group (HEDG) Working Papers.
    RePEc:yor:hectdg:17/20.

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  47. Effects of Informal Elderly Care on Labor Supply: Exploitation of Government Intervention on the Supply Side of Elderly Care Market. (2017). Oikawa, Masato ; Nishimura, Yoshinori.
    In: Health, Econometrics and Data Group (HEDG) Working Papers.
    RePEc:yor:hectdg:17/02.

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  48. Abschluss der Pflegereform: Ist die Pflegeversicherung zukunftsfest?. (2017). Heger, Dörte ; Gerlinger, Thomas ; Struder, Sabine ; Stegmuller, Klaus ; Gress, Stefan.
    In: ifo Schnelldienst.
    RePEc:ces:ifosdt:v:70:y:2017:i:05:p:03-15.

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  49. Does Providing Informal Elderly Care Hasten Retirement? Evidence from Japan. (2017). Niimi, Yoko.
    In: AGI Working Paper Series.
    RePEc:agi:wpaper:00000127.

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  50. EXPECTATIONS, LOSS AVERSION, AND RETIREMENT DECISIONS IN THE CONTEXT OF THE 2009 CRISIS IN EUROPE. (2016). Sirven, Nicolas ; BARNAY, Thomas.
    In: TEPP Working Paper.
    RePEc:tep:teppwp:wp16-04.

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  51. Job insecurity, employability and health: an analysis for Germany across generations. (2016). Sousa-Poza, Alfonso ; Otterbach, Steffen.
    In: Applied Economics.
    RePEc:taf:applec:v:48:y:2016:i:14:p:1303-1316.

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  52. The Statistical Analysis of End of Working Life: Methodological and Sociological Issues Raised by the Average Effective Age of Retirement. (2016). Wels, Jacques.
    In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
    RePEc:spr:soinre:v:129:y:2016:i:1:d:10.1007_s11205-015-1103-6.

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  53. Providing informal care in a changing society. (2016). Boer, Alice ; Broese, Marjolein I.
    In: European Journal of Ageing.
    RePEc:spr:eujoag:v:13:y:2016:i:3:d:10.1007_s10433-016-0370-7.

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  54. The “Costs” of informal care: an analysis of the impact of elderly care on caregivers’ subjective well-being in Japan. (2016). Niimi, Yoko.
    In: Review of Economics of the Household.
    RePEc:kap:reveho:v:14:y:2016:i:4:d:10.1007_s11150-016-9333-1.

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  55. Informal parental care and female labor supply in Japan. (2016). Usui, Emiko ; Oshio, Takashi.
    In: CIS Discussion paper series.
    RePEc:hit:cisdps:657.

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  56. EXPECTATIONS, LOSS AVERSION, AND RETIREMENT DECISIONS IN THE CONTEXT OF THE 2009 CRISIS IN EUROPE. (2016). Sirven, Nicolas ; BARNAY, Thomas.
    In: Working Papers.
    RePEc:hal:wpaper:halshs-01374462.

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  57. Caring Alone? Social Capital and the Mental Health of Caregivers. (2016). Thiel, Lars .
    In: SOEPpapers on Multidisciplinary Panel Data Research.
    RePEc:diw:diwsop:diw_sp860.

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  58. Invecchiamento e rapporti intergenerazionali: uno sguardo d’insieme. (2015). Principi, Andrea ; Lamura, Giovanni.
    In: PRISMA Economia - Società - Lavoro.
    RePEc:fan:pripri:v:html10.3280/pri2015-003003.

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  59. The Costs of Informal Care: An Analysis of the Impact of Elderly Care on Caregivers Subjective Well-being in Japan. (2015). Niimi, Yoko.
    In: AGI Working Paper Series.
    RePEc:agi:wpaper:00000082.

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  60. Transitions in labour market status in EU labour markets. (2014). Macchiarelli, Corrado ; Ward-Warmedinger, Melanie.
    In: IZA Journal of European Labor Studies.
    RePEc:spr:izaels:v:3:y:2014:i:1:p:1-25:10.1186/2193-9012-3-17.

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  61. Transitions in Labour Market Status in the EU. (2013). Macchiarelli, Corrado ; Ward-Warmedinger, Melanie E..
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp7814.

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  62. Transitions in labour market status in the European Union. (2013). Macchiarelli, Corrado ; Melanie Ward-Warmedinger & Corrado Macchiarelli, .
    In: Europe in Question Discussion Paper Series of the London School of Economics (LEQs).
    RePEc:erp:leqsxx:p0069.

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  63. Transitions in labour market status in the European Union. (2013). Macchiarelli, Corrado ; Ward-Warmedinger, Melanie.
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:55264.

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