Suchergebnisse

AbstractA focal point of a number of recent studies of unemployment duration has been the estimation of the unobserved average completed duration (ACD) of an unemployment spell using groped data on observed incomplete spells. Both parametric and non‐parametric methods are available. This note compares the assumptions underlying the two approaches and argues for the use of a non‐parametric estimator, specifically the Kaplan‐Meier estimator, on grounds of its use of the weaker assumptions. In an actual application of the Kaplan‐Meier estimator to some data from the Australian Labour Force Survey a Number of problems are experienced due to the fact that the estimator is intended for data in a life table format. The note briefly discusses the resolution of these problems and related statistical issues.

This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.