Harding et al., 2009 | Australia | APPSIM | 188000 individuals | Australian population | Survey | No information provided | Logit | Historical survey data | 2 M/F) | Validation strategy, comparison with existing data | Optional, for total labour force participation |
Debrand et al., 2012 | France | ARTEMIS | 1420598 | French private-sector employees | Administrative and survey | No information provided | Probabilities assigned from empirical distribution | Distribution of 1935 cohort | No equations estimated | No information provided | No information provided |
Mazzaferro and Morciano (2012) | Italy | CAPP-DYN | 52772 individuals | Italian population | Survey | Option-Value model | Optimisation equation | No information provided | 1 | No information provided | Not for retirement, only for demographic variables |
Belloni and Alessie, 2009; Borella and Moscarola, 2010 | Italy | CERPSIM3 | No information provided | Italian population | Administrative and survey | Reduced-form econometric model | Probit | Historical administrative data | 2(M/F) | Cross-sectional validation with available data | No information provided |
Bachelet et al., 2014; Blanchet et al., 2011; Buffeteau et al., 2011 | France | DESTINIE II | 65000 individuals | French population | Survey | Reduced-form model (baseline) | Logit (baseline) Optimization equation (application) | Historical administrative data | 2(M/F) | No specific information on validation of retirement decision | Not for retirement, only for demographic variables (alignment by adjustment of probabilities) |
Ando and Nicoletti Altimari (2004) | Italy | DYNAMITE | 25000 individuals per wave, 67000 households in total | Italian households | Survey | Reduced-form econometric model | Ordinary Least Squares Continuous hazard model as an option | Historical survey data | 2 (planned age for everyone and revised decision for older workers) | No information provided | Not for retirement, only for demographic variables |
Nataša Kump, personal communication, 2019, 2022 | Slovenia | DyPenSI | 391425 individuals | Slovenian population | Administrative and survey | Reduced-form econometric model | Logit | Starting population | 2 (M/F) | Comparison with alignment tables | Optional alignment for labour market |
Patxot et al., 2018 | Spain | DyPeS | Unknown | Spanish population | Administrative | Reduced-form econometric model | Hazard model | Historical administrative data | 2(M/F) | No information provided | No information provided |
Tikanmäki et al. (2014) | Finland | ELSI | 250000 | Adult Finnish population | Administrative | No information provided | Probabilities assigned from another model | PTS macro model | No information provided | Sample-testing and model calibration with register data from 2009-2013 | All transition probabilities are updated yearly according to projections from a semi-aggregate model |
Brewer et al., 2007 | UK | IFS Model | 12100 individuals | British population over 50 | Survey | No information provided | Logit | Starting population | 4 (M/F, full/part-time) | Retroactive simulations are compared to existing data. | For total labour force participation; alignment with observed data by adjusting probabilities |
O’Donoghue et al. (2009) | Ireland | Irish Dynamic Cohort Microsimulation Model | 1000 | Synthetic cohort | Simulated | No information provided | Probabilities assigned from empirical distribution | Cross-sectional Irish survey data | No equations estimated | Comparison with survey and administrative data | No information provided |
Maitino et al. (2020) | Italy | IrpetDin | No information provided | Italian citizens | Survey | No information provided | Optimisation equation | Assumption | 1 | Retroactive simulations are compared to existing data | For total labour force participation |
Richiardi and Richardson, 2017 | Multi-country | JAS-mine Labour Force Participation | No information provided | Citizens from Italy, Spain, Ireland, Hungary and Greece | Survey | No information provided | Probabilities assigned from empirical distribution | Starting population | No equations estimated | No information provided | No information provided |
Leombruni and Richiardi, 2006 | Italy | LABORSim | 50000 | Italian population | Survey | No information provided | User-defined | User-defined | User-defined | No information provided | Not for retirement, only for demographic variables |
Richiardi and Richardson, 2015 | UK, Italy | LABSim | Unknown (112196 observations in regression analysis for IT, 84028 for UK) | UK and IT population | Survey | No information provided | Logit | Unclear | 2 per country (partnered/single) | No information provided | Not for retirement, only for demographic variables |
Federaal Planbureau (2017) | Belgium | MIDAS | 305019 | Belgian population | Administrative | No information provided | Probabilities assigned from another model | MALTESE meso model | No equations estimated | Stylised validation through modelling (Dekkers) | Retirement is aligned with MALTESE projections |
Smith et al., 2007; Smith and Favreault, 2013 | US | MINT7 | 82782 individuals | US population | Survey | Reduced-form econometric model | Probit | Historical survey and administrative data | 2 (married/unmarried) | Retroactive simulations are compared to existing data | Not for retirement, only for other variables |
Fredriksen and Stølen, 2015; Fredriksen (1998) | Norway | MOSART | 40000 | Norwegian population | Administrative | No information provided | No information provided | Past retirement patterns | No information provided | Retroactive simulations are compared to existing data | No external alignment |
van de Ven, 2011 | UK | NIBAX | No information provided | Synthetic cohort | Simulated | Structural model | Utility maximisation functions | Assumption calibrated by survey data | No information provided | Retroactive simulations are compared to existing data | Structural parameter calibration using survey data |
Gal et al., 2009 | Hungary | NYIKA | 6000000 | Hungarian pension contributors | Administrative | No information provided | No information provided | Past retirement patterns | No equations estimated | No information provided | No information provided |
Holmer et al., 2016 | US | PENSIM | Not fixed | Synthetic cohort | Simulated | Reduced-form econometric model | User-defined | User-defined | User-defined | Retroactive simulations are compared to existing data, and cross-sectional validation with other models | No information provided |
Berteau-Rapin et al., 2015 | France | PRISME | 5000000 individuals | Persons affiliated with French social security | Administrative | No information provided | Logit | Starting population | 46[2] (M/F, age - by trimester) | Retroactive simulations are compared to existing data. | No information provided |
van Sonsbeek, 2011 | Netherlands | SADNAP | Unknown (1% of the Dutch population) | Dutch population | Administrative | Option-Value model | Optimisation equation | Assumption based on theoretical literature | 1 | Cross-sectional validation with available data and other models (not necessarily MS) | Not for retirement, only for demographic variables |
Flood et al., 2012 | Sweden | SESIM III | 300000 individuals | Swedish population | Administrative and survey | Reduced-form econometric model | Logit | Starting population | 1 | No information provided | Not for retirement, only for other variables |
Caretta et al., 2013 | Italy | TDYMM | 43388 | Italian population | Administrative | No information provided | Probabilities assigned from empirical distribution | Starting population | No equations estimated | Retroactive simulations are compared to existing data | Not for retirement, only for labour market modules |
Duc et al., 2015 | France | TRAJECTOIRE | 350000 | French pension contributors | Administrative | No information provided | Probabilities assigned from another model | PROMESS cell-based model | At least 12 (by sex, country of birth, generation, insurance duration, and contributing regime) | Retroactive simulations are compared to existing data | In some cases, the results of the transition probabilities are aligned with the PROMESS meso-model |