Intergenerational economic mobility in Korea using a quantile regression analysis

Intergenerational mobility in Korea

This study investigates intergenerational earnings mobility in Korea for sons born between 1958 and 1973 and compares Korea’s mobility to that of other nations. It uses data from the Korea Labor and Income Panel Study and the Household Income and Expenditure Survey conducted by the Korean National Statistics Bureau. Since no single Korean dataset includes information on both sons’ and their fat...

Intergenerational Economic Mobility in Rural Bangladesh

Using Quantile Regression for Duration Analysis

Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the functional relationship and of the error distribution. Censored quantile regression address the issue of right censoring of the response variable...

Quantile Regression using Metaheuristic Algorithms

This paper demonstrates that metaheuristic algorithms can provide a useful general framework for estimating both linear and nonlinear econometric models. Two metaheuristic algorithms—firefly and accelerated particle swarm optimization—are employed in the context of several quantile regression models. The algorithms are stable and robust to the choice of starting values and the presence of vario...

Moving Towards Estimating Lifetime Intergenerational Economic Mobility in the UK

Estimates of intergenerational economic mobility that use point in time measures of income and earnings suffer from lifecycle and attenuation bias. We consider these issues for the National Child Development Study (NCDS) and British Cohort Study (BCS) for the first time, highlighting how common methods used to deal with these biases do not eradicate these issues. To attempt to overcome this, we...