This paper measures the extent to which declines in Canadian welfare participation were associated with novel and aggressive welfare reforms. Referred to as new reform strategies, these welfare policy variables are: work requirements, diversion, earning exemptions, and time limits. Controlling...

We conduct a laboratory experiment to analyze the effect transactions costs and inertia have on charitable giving. We conjecture that transaction costs will have a greater effect on donations if the solicitation is received when the opportunity cost of time is high. Inertia could become a factor...

This paper presents a model of quantity regulation aimed at mitigating externalities from over-use of a commons: for example, restrictions on use of automobiles, fisheries, computer networks and electronic stock quotation systems with high-frequency traders. The model provides a...

This paper explores how foreign direct investment (FDI) and other determinants impact income inequality in Turkey in the short- and long-run. We apply the ARDL (Auto-Regressive Distributed Lag) modelling approach, which is suitable for small samples. The data for the study cover the years from...

This study proposes an agent-based model of the impact of research success on the structure of scientific communities. In the model, heterogeneous scientists scattered about a ‘social landscape’ influence each other through networking. Peer networks are allowed to change based on...

We show that, if giving is equivalent to not taking, impure altruism could account for List's (2007) finding that the payoff to recipients in a dictator game decreases when the dictator has the option to take. We examine behavior in dictator games with different taking options but equivalent...

We adopt a counterfactual approach to decompose labor productivity growth into growth of Technological Productivity (TEP), growth of the capital-labor ratio and growth of Total Factor Productivity (TFP). We bring the decomposition to the data using international countrysectoral information...

This study engineers a household sector where individuals process macroeconomic information to reproduce consumption spending patterns in New Zealand. To do this, heterogeneous artificial neural networks (ANNs) are trained to forecast changes in consumption. In contrast to existing literature,...

This study explores the value of information transmission in training heterogeneous Artificial Neural Network (ANN) models to identify patterns in the growth rate of aggregate per-capita consumption spending in New Zealand. A tier structure is used to model how information passes from one ANN to...

In this paper we propose an asymptotically equivalent single-step alternative to the two-step partially linear model estimator in Robinson (1988). The estimator not only has the potential to decrease computing time dramatically, it shows substantial finite sample gains in Monte Carlo simulations.