Investment in human capital is a central issue in the literature on economic growth. The purpose of this study is to shed light on the economic incentives for investment in university education across countries. An empirical investigation of earnings for private-sector engineers and business...

Most econometric multi-equation models estimated are assumed to be linear in both the variables and the parameters. One reason is that, in general, methods of linear algebra cannot be applied to nonlinear systems. In this paper a certain class of nonlinear models is defined, however, the members...

A general method is described which allows a production activity to be analyzed by means of input data only. According to duality theory, the input cost shares can be completely specified without any information about output if the technology is homothetic. It is demonstrated that these cost...

Investigating the robustness of the skill-biased technical change hypothesis, this analysis incorporates two novel features. First, effective labor is modeled as the product of a quantity measure - number of employees with a given level of education - and a quality index, depending on, i.a.,...

In this paper a timesaving method is proposed for maximizing likelihood functions when the parameter space is subject to nonlinear constraints, expressible as second order polynomials. The suggested approach is especially attractive when dealing with systems with many parameters.

Lam and Schoeni (1993) consider an equation where earnings are explained by schooling and ability. They assume that ability data are lacking and that schooling is measured with error. The estimate obtained by regressing earnings on schooling thus contains omitted variable bias (OVB), which is...

A quality-adjusted specification of labor is suggested which allows firm training to affect labor efficiency. To assess the cost and productivity effects, this specification is integrated into a flexible neoclassical cost function. The empirical analysis uses panel data for eight plants in the...