Vertical differentiation,product innovation,and dynamic competition

This paper presents an infinite horizon dynamic model in which two firms compete in a market vertically differentiated by the qualities of their products and consumers have heterogeneous preferences for quality. Given the product qualities offered, the firms engage in price competition that segments the market. In each period each firm can spend on product innovation that if successful increases the quality of its product. Three types of Markov perfect equilibria are identified. A running–coasting equilibrium exhibits increasing quality dominance with one firm undertaking innovation and the other coasting to free ride on the innovation by the first firm. The firm that coasts can have the larger dynamic payoff, so quality dominance does not imply payoff dominance. A second is a leap‐frog equilibrium in which the trailing firm undertakes innovation to leap into the lead. The trailing firm never innovates solely to narrow the gap with the leader, so catch up strategies are never used. In the third both firms undertake innovation, but if both have innovation successes, product differentiation remains the same and profits are reduced by the cost of innovation. The rivalry between Intel and AMD in microprocessors for personal computers provides a motivating example.     

Comparison of Hypothesis Testing and Bayesian Model Selection

The main goal of both Bayesian model selection and classical hypotheses testing is to make inferences with respect to the state of affairs in a population of interest. The main differences between both approaches are the explicit use of prior information by Bayesians, and the explicit use of null distributions by the classicists. Formalization of prior information in prior distributions is often difficult. In this paper two practical approaches (encompassing priors and training data) to specify prior distributions will be presented. The computation of null distributions is relatively easy. However, as will be illustrated, a straightforward interpretation of the resulting p-values is not always easy. Bayesian model selection can be used to compute posterior probabilities for each of a number of competing models. This provides an alternative for the currently prevalent testing of hypotheses using p-values. Both approaches will be compared and illustrated using case studies. Each case study fits in the framework of the normal linear model, that is, analysis of variance and multiple regression.     

“Panelizing” Repeated Cross Sections

This paper considers the implementation of a non-stationary, heterogeneous Markov model for the analysis of binary dependent variables in a time series of repeated cross-sectional (RCS) surveys. The model offers the opportunity to estimate entry and exit transition probabilities and to examine the effects of time-constant and time-varying covariates on the hazards. We show how maximum likelihood estimates of the parameters can be obtained by Fishers method-of-scoring and how to estimate both fixed and time-varying covariate effects. The model is exemplified with an analysis of the labor force participation decision of Dutch and West German women using ISSP (and other) data from 10 annual Dutch surveys conducted between 1987 and 1996 and 7 annual West German surveys conducted between 1988 and 1994. Some open problems concerning the application of the model are discussed.     

Casinos,casino size,and crime: A panel data analysis of Michigan counties

Growth in legal gaming in the United States over the past quarter century or so is well-documented. One important factor fueling this growth was the passage of the Indian Gaming Regulatory Act of 1988, which permitted Native American tribes to establish, under agreements or “compacts” with the states in which they are located, casinos offering what is known as Class III gaming: slot machines, blackjack, roulette, and other games. Since the passage of the Act, there have been 21 Native American casinos established in Michigan. Also, three non-Native American casinos opened in Detroit in 1999 and 2000. This growth in the number of casinos has sparked a wide-ranging debate over the social and economic impacts of casino development.The purpose of this research is to focus on the crime issue in the broader casino debate. We investigate the impact of these Michigan casinos on the rates of burglary, robbery, larceny and motor vehicle theft (property crimes) in casino host counties as well as in nearby counties. We employ a panel data set with annual observations on all 83 Michigan counties for the period 1994–2010. The dataset includes crime rates taken from the FBI crime data series, variables for the presence of a casino in a county or in a nearby county, the scale of a casino's operations as measured by revenues, and a variety of control variables suggested by the broader literature investigating the factors that determine crime rates generally.Our results suggest that in most cases the property crime rates studied are not affected by the presence or size of a casino in a county or in a nearby county. The largest such impact, which is negative, is for motor vehicle theft. The size of a casino does have a small positive effect on the motor vehicle theft rate.     

Information Disclosure as Environmental Regulation: A Theoretical Analysis

Governments around the world are beginning to embrace a new form of environmental regulation – mandatory disclosure of information. While information disclosure programs appear to have an impact on subsequent firm behavior – often resulting in lower levels of pollution – little is known about the costs and benefits of these programs and whether or not they enhance social welfare. This paper presents a simple bargaining model where mandatory information disclosure is used to overcome a lack of information on the part of the public. We characterize the conditions under which information disclosure will lead to a reduction in emissions, and ultimately, the conditions under which it will enhance social welfare. Several extensions of the model are briefly explored, including the effect of two sources of pollution – only one of which is subject to information disclosure. This paper was prepared while V. Santhakumar was a Visiting Scholar at the Vanderbilt Center for Environmental Management Studies, Vanderbilt University.     

The Optimal Timing of Adoption of a Green Technology

We study the optimal timing of adoption of a cleaner technology and its effects on the rate of growth of an economy in the context of an AK endogenous growth model. We show that the results depend upon the behavior of the marginal utility of environmental quality with respect to consumption. When it is increasing, we derive the capital level at the optimal timing of adoption. We show that this capital threshold is independent of the initial conditions on the stock of capital, implying that capital-poor countries tend to take longer to adopt. Also, country-specific characteristics, as the existence of high barriers to adoption, may lead to different capital thresholds for different countries. If the marginal utility of environmental quality decreases with consumption, a country should never delay adoption; the optimal policy is either to adopt immediately or, if adoption costs are “too high”, to never adopt. The policy implications of these results are discussed in the context of the international debate surrounding the environmental political agenda.      

Which Elasticity? Estimating the Responsiveness of Taxpayer Reporting Decisions

In this paper we present estimates of the responses of individuals to marginal tax rates in their reporting of income, using data from individual tax returns for the year 1995. One estimation method is ordinary least squares regression. A second method uses quantile regression, which provides evidence on behavioral responses at different points (or quantiles) in the distribution of income and so is relevant to the question of whether the responses of, say, the rich differ from those at other points in the income distribution. Our results clearly indicate that marginal tax rates affect the reporting decisions of individuals. However, there are significant differences in the marginal tax rate reporting responses for the various types of reported income, there are major differences across income classes, and there are notable differences in the estimated responses across estimation methods.

On the growth and welfare maximizing allocation of public investment

In this paper we present an endogenous growth model to analyze the growth maximizing allocation of public investment among N different types of public capital. Using this general model of public capital formation, we analyze the stability of the long-run equilibrium and we derive the growth-maximizing values of the shares of public investment allocated to the different types of public capital, as well as the growth-maximizing tax rate (amount of total public investment as a share of GDP). The empirical implication of the model is that both the effects of the shares of public investment and the tax rate on the long-run growth rate are non-linear, following an inverse U-shaped pattern. Our analysis is completed by showing that the growth-maximizing shares of public investment and the growth-maximizing tax rate also maximize welfare in the decentralized economy.     

中国被忽视的非正规经济：现实与理论

中国的“非正规经济”就业人员（即没有工作保障,缺少福利和不受国家劳动法保护的劳工）已占今天2．83亿城镇就业人员总数中的1．68亿,比正规就业人员要多出一倍半。但是,今目的中国国家统计机构尚未真正正视非正规经济就业人员统计。其部分原因是当前的主流经济（以及社会）理论——即主要来自20世纪60年代在美国盛行的“二元经济”理论、“三部门理论”和“橄榄型”社会结构理论——的误导。这些理论共同构成了50年代和60年代风行美国的“现代化”模式。本文扼要论述该模式的关键论点,进而回顾70年代和80年代发展经济学“革命”中有关学者对其所作的批评,以及后来新古典经济学在美国新保守主义领导下进行的“反革命”辩驳,重在揭示论争双方的意识形态化偏颇,并突出各自的洞见,提倡适当结合双方正确的见解,由此建立去意识形态化的理论观点,以助于理解今天非正规经济的现实。