We investigate how transitions from unemployment are affected by economic incentives and spell duration. Based on unique Norwegian register data that exhibit the rarity of random-assignment-like variation in economic incentives, the causal parameters are identified without reliance on...

We present new Monte Carlo evidence regarding the feasibility of separating causality from selection within non-experimental interval-censored duration data, by means of the nonparametric maximum likelihood estimator (NPMLE). Key findings are: i) the NPMLE is extremely reliable, and it...

The application of continuous time Weibull models on discrete unemployment duration data may result in severely biased baseline estimates. The bias can be substantial even for weekly duration data, and it is seriously aggravated if the Weibull model is erroneously mixed with a Gamma distribution...

The decision by firms to offer an occupational pension is investigated with a unique linked employer/employee dataset, supplemented with detailed actuarial calculations of the cost to the firms of offering occupational pensions and constructed tax gains from pension contributions versus cash...

This paper investigates the rapid growth of China's share in the international commodity market and the structural changes of China's commodity exports. It demonstrates a significant improvement of international competitiveness in China's manufacturing sector. The panel data analysis, based on a...

The paper reviews soybean production and its demand change in China. It proposes that the improvement in technical efficiency of soybean production is indispensable for the increase of soybean output and, in turn, to satisfy the domestic demand for soybean. The paper investigates the technical...

Demand Response (DR) is one of the typical methods for optimizing load characteristics in power systems. Utilities offer DR schemes to generate incentives toward consumers’ power consumption behavior for load optimization. In tariff planning, power consumption variation is an important issue...