Determinants of household saving in the G-7 countries: recent evidence

This paper employs data from the last four decades to analyse major determinants of household saving for the Group of Seven (G-7) nations. Particular attention is paid to the effects of interest rates, government saving, and social security contributions. Regression analysis is used to control for the effects of both the level and changes in income per capita and inflation.     

Government expenditure and economic growth: evidence from G7 countries

This paper examines Wagner's Law of Public Expenditure, which emphasizes economic growth as the fundamental determinant of public sector growth, using time series data drawn from the G7 industrialized countries over the sample period 1960 1993. It presents evidence on both the short- and long-run effects of growth in national income on government expenditure by resorting to recent developments in the theory of cointegrated processes. An attempt is also made in this study to examine if Wagner's Law holds between certain key components of government expenditure and income.     

Errors in variables in multinomial choice modeling: A simulation study applied to a multinomial logit model of travel mode choice

Modeling travel demand is a vital part of transportation planning and management. Level of service (LOS) attributes representing the performance of transportation system and characteristics of travelers including their households are major factors determining the travel demand. Information on actual choice and characteristics of travelers is obtained from a travel survey at an individual level. Since accurate measurement of LOS attributes such as travel time and cost components for different travel modes at an individual level is critical, they are normally obtained from network models. The network-based LOS attributes introduce measurement errors to individual trips thereby causing errors in variables problem in a disaggregate model of travel demand. This paper investigates the possible structure and magnitude of biases introduced to the coefficients of a multinomial logit model of travel mode choice due to random measurement errors in two variables, namely, access/egress time for public transport and walking and cycling distance to work. A model was set up that satisfies the standard assumptions of a multinomial logit model. This model was estimated on a data set from a travel survey on the assumption of correctly measured variables. Subsequently random measurement errors were introduced and the mean values of the parameters from 200 estimations were presented and compared with the original estimates. The key finding in this paper is that errors in variables result in biased parameter estimates of a multinomial logit model and consequently leading to poor policy decisions if the models having biased parameters are applied in policy and planning purposes. In addition, the paper discusses some potential remedial measures and identifies research topics that deserve a detailed investigation to overcome the problem. The paper therefore significantly contributes to bridge the gap between theory and practice in transport.     

Congestion and Optimal Immigration Policy

This paper presents a model to explain the stylized fact that many countries have a low ratio of migrants in their population while some countries have a high ratio of migrants. Immigration improves the income of the domestic residents, but migrants also increase the congestion of public services. If migrants are unskilled and therefore pay low taxes, and the government does not limit access to these services, then the welfare of the domestic residents decreases with the number of migrants. Visa auctions can lower the cost of immigration control and substitute legal migrants for illegal migrants. If the government decides to limit the access of migrants to public services, immigration control becomes unnecessary and the optimal number of migrants can be very large.     

Advertising,the matchmaker

We empirically study the informational role of advertising in matching consumers with products when consumers are uncertain about both observable and unobserved program attributes. Our focus is on the network television industry, in which the products are television shows. We estimate a model that allows us to distinguish between the direct effect of advertising on utility and its effect through the information set. A notable behavioral implication is that exposure to informational advertising can decrease the consumer’s tendency to purchase the promoted product. The structural estimates imply that an exposure to a single advertisement decreases the consumer’s probability of not choosing her best alternative by approximately 10%. Our results are relevant for industries characterized by product proliferation and horizontal differentiation.     

Public Information Quality with Monopolistic Sellers

We show that in markets with asymmetric information, even if there is full agreement on the choice of optimal information quality, entrusting the choice of (unverifiable) public information quality to traders who benefit from such information leads to inefficiencies. However, delegation of information quality choice to an independent agent who is precluded from sharing in trading profits results in efficient implementation. This result provides a game-theoretic rationale for current institutional arrangements where a private organization that is independent of market traders, the Financial Accounting Standards Board, determines the standards for public disclosures.Journal of Economic LiteratureClassification Numbers: D41, D42, D82.