While many firms compete through the development of new technologies and products, it is well known that new-to-the-world innovation is inherently risky and therefore may increase the probability of firm death. However, many existing studies consistently find a negative association between...

Using longitudinal household data and an econometric model of conditional poverty transitions, this paper contributes to the growing literature on poverty dynamics in Australian households. The results reveal that a range of household head, partner and demographic characteristics in addition to...

Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet's bias-corrected LSDV and GMM estimators all perform well in both short and long panels....

Using the Household, Income and Labour Dynamics in Australia (HILDA) Survey, this study examines the joint dynamics of health and poverty in Australian families. Taking advantage of panel data, the modelling approach used in this study allows a better estimation of the causal relationship...

This paper aims to identify the contribution of the business cycle and structural factors to the development of part-time employment in the EU-15 countries, through the exploitation of both cross-sectional and time series variations over the past two decades. Key results include that the...

A growing part-time employment share has been a main feature of a number of industrialized countries over the past two decades. A considerable variation in the rate of part-time work is evident by gender, age group, industrial sector and occupation. The stylized facts support the view that...

This paper looks at the role of part-time work in labour mobility for 11 European countries. We find some evidence of part-time work being used as a stepping stone into full-time employment, but for a small proportion of individuals (less than 5%). Part-time jobs are also found to be more...

Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet’s bias-corrected LSDV and GMM estimators all perform well in both short and long panels...

Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet's bias-corrected LSDV and GMM estimators all perform well in both short and long panels....