In this paper we study the role of social insurance, namely old-age pensions, disability insurance and healthcare, in accounting for the differing labor supply patterns of older individuals across OECD countries. To this end, we develop a life cycle model of labor supply and health with...

In this paper we develop a life cycle model of labor supply and retirement to study the interactions between health and the labor supply behavior of older workers, in particular disability insurance and pension claiming. In our framework, individuals choose when to stop working and, given...

This paper traces the development of Bertil Ohlin's views on issues such as the causes of the depression of the 1930's, policies against the depression, the use of fiscal and monetary policies, and tariffs and public works to stabilize the business cycle. We examine about 80 of his articles on...

In this paper we develop a life cycle model of labor supply and retirement to study the interactions between health and the labor supply behavior of older workers, in particular disability insurance and pension claiming. In our framework, individuals choose when to stop working and, given...

This paper traces the development of Bertil Ohlin's views on issues such as the causes of the depression of the 1930's, policies against the depression, the use of fiscal and monetary policies, and tariffs and public works to stabilize the business cycle. We examine about 80 of his articles on...

This paper is concerned with maximum likelihood based inference in random effects models with serial correlation. Allowing for individual effects we introduce serial correlation of general form in the time effects as well as the idiosyncratic errors. A straightforward maximum likelihood...

This paper considers the large sample behavior of the maximum likelihood estimator of random effects models with serial correlation in the form of AR(1) for the idiosyncratic or time-specific error component. Consistent estimation and asymptotic normality as N and/or T grows large is established...

This paper is concerned with maximum likelihood based inference in random effects models with serial correlation. Allowing for individual effects we introduce serial correlation of general form in the time effects as well as the idiosyncratic errors. A straightforward maximum likelihood...

This paper considers the large sample behavior of the maximum likelihood estimator of random effects models with serial correlation in the form of AR(1) for the idiosyncratic or time-specific error component. Consistent estimation and asymptotic normality as N and/or T grows large is established...