The paper studies retirement behavior of wage‐earners in Belgium – for the first time using rich survey data to explore retirement incentives as faced by individuals. Specifically, we use SHARE data to estimate a model à la Stock and Wise (1990). Exploring the longitudinal nature of...

The paper studies retirement behavior of wage-earners in Belgium - for the first time using rich survey data to explore retirement incentives as faced by individuals. Specifically, we use SHARE data to estimate a model à la Stock and Wise (1990). Exploring the longitudinal nature of SHARELIFE,...

The present paper analyzes the budgetary impact of various Social Security reforms in the Belgian institutional setting. Our approach relies on parameters that were derived in Dellis et alii (2002) using a micro-modeling strategy. Focusing our attention on a hypothetical age cohort, we...

The paper provides a framework for the conceptualization, definition and estimation of legacy costs that need to be addressed in a reform that transforms an unfunded defined contribution (NDB) scheme into a notional (or non-financial) defined contribution (NDC) scheme. As the new contribution...

The paper provides a framework for the conceptualization, definition and estimation of legacy costs that need to be addressed in a reform that transforms an unfunded defined contribution (NDB) scheme into a notional (or non-financial) defined contribution (NDC) scheme. As the new contribution...

The paper studies retirement behavior of wage‐earners in Belgium – for the first time using rich survey data to explore retirement incentives as faced by individuals. Specifically, we use SHARE data to estimate a model à la Stock and Wise (1990). Exploring the longitudinal nature of...

The present paper analyzes the budgetary impact of various Social Security reforms in the Belgian institutional setting. Our approach relies on parameters that were derived in Dellis et alii (2002) using a micro-modeling strategy. Focusing our attention on a hypothetical age cohort, we...