CHANGES IN CANADIAN FAMILY INCOME AND FAMILY CONSUMPTION INEQUALITY BETWEEN 1978 AND 1992

This paper uses Canadian cross-sectional income and expenditure data to examine changes in the distribution of family income and family consumption during the period 1978 to 1992. Family consumption data are analyzed because in the presence of intertemporal consumption smoothing, the cross-sectional distribution of consumption may characterize the distribution of lifetime wealth. I find that both Canadian family income inequality and Canadian family consumption inequality moved countercyclically. In addition, both Canadian family income inequality and Canadian family consumption inequality trended upward over the period; however, the change in family consumption inequality was much smaller than the change in family income inequality, suggesting that inequality in the distribution of lifetime wealth may have changed much less than is suggested by changes in the distribution of income.     

Auctions with endogenous valuations: the snowball effect revisited

Summary. This paper looks at the determination of ownership of capacity when there are two ex-ante symmetric agents bidding for many units of capacity which are sold sequentially. It is shown that convexity of payoffs in the final stage of the game is sufficient to ensure monopolization of capacity, but that increasing returns to scale are not sufficient to ensure monopolization. Received: March 14, 1997; revised version: December 1, 1997     

The Role of Keynesian Policies in Semi-industrialized Countries: theory and evidence from India

This paper examines the relevance of Keynesian policies—interpreted as those policies implied by Keynes's theoretical analysis of unemployment developed in The General Theory—for a subset of developing economies, which are called semi-industrialized countries. It draws on recent contributions in development economics to argue on theoretical grounds that Keynesian policies are relevant for semi-industrialized countries even when they are constrained by capital shortages, stagnant agricultural sectors, and foreign exchange availability. It then discusses the recent development experience of India to illustrate the empirical relevance of some of these theoretical issues.     

Modeling domestic holiday tourism demand in Australia: Problems and solutions

An econometric model is very useful for understanding the underlying relationship between tourism demand and economic variables such as income and travel prices. However, a long time series horizon of data is essential to run an econometric model that is consistent with economic theory. Although time series data on the number of domestic trips and visitor nights in Australia are available since 1978–79, breaks in the time series in different years have made it difficult to estimate a domestic holiday demand model. It is because the data series in different periods are not directly comparable. In this study, a simple data adjustment technique has been used to obtain comparable data series. Among several econometric demand models, a single equation multivariate time series demand model in a double log linear functional form was found to be the most appropriate and practical model to estimate and analyze the demand parameters of domestic holiday travel in Australia. However, the model with variables in level terms was observed having the “spurious regression problem” which has been corrected using the cointegration and error correction mechanisms. The estimated income and price elasticity of domestic holiday travel demand are consistent with economic theory and therefore can be used for forecasting and other purposes.     

A meta-analysis of the impact of price presentation on perceived savings

Pricing is one of the most crucial determinants of sales. Besides the actual price, how the price offering is presented to consumers also affects consumer evaluation of the product offering. Many studies focus on “price framing,” i.e., how the offer is communicated to the consumer —is the offered price given along with a reference price, is the reference price plausible, is a price deal communicated in dollar or percentage terms. Other studies focus on “situational effects,” e.g., is the evaluation for a national brand or a private brand, is it within a discount store or a specialty store. In this article, a meta-analysis of 20 published articles in marketing examines the effects of price frames and situations on perceived savings. The results reveal many features that significantly influence perceived savings. For instance, while both the percent of deal and the amount of deal positively influence perceived deal savings, deal percent has more impact. Further, the presence of a regular price as an external reference price enhances the offer value of large plausible deal and implausible deals, but not of small plausible deals. Thus, high value deals should announce the regular price, but not low value deals. Overall, the results have several useful insights for designing promotions.     

LOBBYING COMPETITION OVER TRADE POLICY*

Competition between opposing lobbies is an important factor in the endogenous determination of trade policy. This article investigates the consequences of lobbying competition between upstream and downstream producers. The theoretical structure underlying the empirical analysis is the well‐known Grossman–Helpman model of trade policy determination, modified to account for the cross‐sectoral use of inputs (itself a quantitatively significant phenomenon, with around 50% of manufacturing output being used by other sectors rather than in final consumption). Our empirical results validate the theoretical predictions. Importantly, accounting for lobbying competition also alters substantially estimates of the “welfare‐mindedness” of governments in setting trade policy.     

Mitigating the Influence of Analysts Who Issue Aggressive Stock Price Targets: The Role of Joint Versus Separate Evaluation*

Investors frequently rely on individual analysts' stock price targets. Aggressive price targets often reflect analysts' attempts to strategically influence investors. Therefore, investors' welfare may be compromised if they take aggressive price targets at face value. In this study, we examine conditions under which investors are more likely to infer that analysts who issue aggressive price targets are acting strategically. Investors can evaluate multiple analysts' price targets with or without other related information (e.g., earnings estimates). Investors can also evaluate the information provided by multiple analysts jointly or separately one analyst at a time. Two experiments find that as predicted, when investors evaluate multiple analysts' price targets without earnings estimates, there is no difference in investors' perceptions about whether the aggressive analyst is acting strategically across joint versus separate evaluation. However, also as predicted, when investors evaluate multiple analysts' price targets along with their earnings estimates, investors perceive the aggressive analyst as acting more strategically under joint evaluation than under separate evaluation. Our findings suggest that jointly evaluating multiple analysts' price targets with other related information, such as earnings estimates, can reduce the likelihood that investors would be overly influenced by aggressive analysts.     

Information exchange in cartels

Antitrust authorities view the exchange of information among firms regarding costs, prices, or sales as anticompetitive. Such exchanges allow competitors to closely monitor each other, thereby facilitating collusion. But the exchange of aggregate information, perhaps via a third party, is legal. The logic is that collusion is difficult if the identity of a price-cutting firm cannot be ascertained. Here, we examine this logic using Stigler's model of secret price cuts. We first identify circumstances such that when no information exchange is possible, collusion is difficult. We then show that if firms' aggregate sales are made public, nearly perfect collusion is possible.     

Unveiling Contemporaneous Relations Between Jump Risk and Cross Section of Stock Returns

This study analyzes the impact of time varying jump risk on aggregate returns. We, in particular, examine the pricing of jump size and intensity components in the cross section of stock returns for four Asian markets. We use stochastic volatility model with jumps to estimate jump size and intensity. Fama–MacBeth regression results indicate that both jump size and intensity have statistically significant effect on expected returns. A one standard deviation increase in jump intensity beta lowers the expected annual returns by 1% for Japan, 2% for China, 5% for India, and 7% for South Korea. The results are consistent even after controlling for the Fama and French three factors, firm size, and liquidity proxies.