In this paper we estimate the interdependence of labour force participation decisions made by Australian couples from 2001 to 2011. We focus on couples with a mature age husband, and estimate the interdependence of the participation decision of the couple. We find that the decision of a wife to...

Using population census data, this paper examines the causal effect of childbearing on married women's labor force participation in urban China. To ameliorate the endogeneity of fertility, we exploit twin births as the instrument for the number of children. While the ordinary least squares...

We examine the effect of family income on child health using data from the China Health and Nutrition Survey. We find a significant child health/family income gradient for the overall sample of Chinese children. Our preferred specification shows that the income gradient increases with child age...

This paper assesses the impact of the mismatch between a college major and job on college graduates' early career earnings using a sample from China. On average, a major-job mismatched college graduate is found to suffer from an income loss that is much lower than the penalty documented in...

In view of the high cost and sparse spatial resolution of offshore meteorological observations, ocean winds retrieved from satellites are valuable in offshore wind resource assessment as a supplement to<i> in situ</i> measurements. This study examines satellite synthetic aperture radar (SAR) images...

In this paper, I assess the impact of the mismatch between college major and job on college graduates' early career earnings using a sample from China. I find that on average a major--job mismatched college graduate suffers from a small income loss. I argue that Chinese universities' emphasis on...

This paper investigates the impact of financial wealth and earned income on the retirement decision using data from the English Longitudinal Survey of Ageing. The estimation results from a random effect dynamic probit model show that housing wealth has virtually no impact on the decision to...

We generalise the Poisson-inverse Gaussian distribution to a three-parameter family, which includes the Poisson and discrete stable distributions as boundary cases. It is flexible in modelling count data sets with different tail heaviness. Although the family only has a closed-form probability...

We obtain new models and results for count data time series based on binomial thinning. Count data time series may have non-stationarity from trends or covariates, so we propose an extension of stationary time series based on binomial thinning such that the univariate marginal distributions are...