VAT attacks!

Like the theory of the second best that the 2006 congress marks, the value added tax (VAT) is now fifty years old. Judged by the extent and speed of its spread around the world, and the revenue that it raises, the VAT would seem to have been a remarkable success. Over the last few years, however, it has come under a series of attacks. This paper considers three of the most prominent of these. One is the fear (raised mainly in the United States) that the VAT actually does too good a job of raising tax revenue—which raises the empirical question of whether it has indeed proved as effective a source of revenue as its proponents claim and its opponents fear. The second is the view that the VAT does a bad job of taxing the informal sector—and that tariffs might consequently be a better revenue-raising instrument for many developing countries. The third attack is the most literal, by criminals rather than theorists: in the European Union and elsewhere, sophisticated VAT fraud, targeting its refund provisions, has become a serious concern. The paper also argues, more generally, that the many unanswered questions concerning the VAT reflect an unfortunate disconnect between the development of the tax itself and of second best tax analysis. I am grateful to Ben Lockwood and Stephen Smith for allowing me to draw on our joint work, and to Vidar Christiansen, Sijbren Cnossen, Isaias Coelho, Alain Jousten, Victoria Perry, and Emil Sunley for many helpful comments and suggestions. Views and errors remain mine alone, and should not be attributed to the International Monetary Fund.     

The stability of risk and benefit perceptions: a longitudinal study assessing the perception of biotechnology

The study of public perceptions is considered to be important for making sound policy decisions, since the public decides which products will enter and sustain in the market. Stability of public perceptions is important for policy-makers; only if public attitudes and perceptions remain constant, policy-makers will be able to take them into account. The aim of the present study was to examine the stability of participants’ risk and benefit perceptions of gene technology over a period of two years. In spring, 2008 and in spring, 2010, the same sample of participants filled out an identical questionnaire. Results of structural equation modelling show that risk and benefit perceptions of gene technology applications are moderately stable (r = .5–.7). Furthermore, results show that people distinguish between medical, plant and food applications and applications involving animals when evaluating the risk of gene technology. When evaluating the benefits, participants also take consumer-related benefits into account, such as enhancement of functional properties. Results of the present study suggest that risk research should regularly examine people’s risk perceptions in order to gain a clearer picture of the dynamics of people’s perception and preferences not only of novel technologies, but also of entrenched technologies.     

State competition in higher education: A race to the top,or a race to the bottom?

How does competition affect higher education? This paper explores this question for public and private universities. Theory indicates that competition can push higher education policy in one of two different directions. On the one hand, competition may increase spending. For states, this would occur if states treat higher education as developmental; for private universities this would occur if they view spending as a means to attract students and prestige. On the other hand, competition may decrease spending if states treat higher education spending as redistributive, and competition may decrease spending by private schools if lower spending enhances their ability to attract students with low tuition. To determine which of these perspectives is most valid, we examine higher education policy choices in the 1980s and 1990s. We find that states appear to act as if higher education funding is redistributive while private schools appear to compete more on the basis of tuition than spending. These results demonstrate the important effects competition and governance structure have on higher education.Received: August 2001, Accepted: May 2002, JEL Classification: I2, I22, H72, I3     

Econometric analysis of copyrights

This paper explores the impact of copyrights on firm value and on the demand for firm output. Using panel data on franchise value and ticket sales from the National Football League over the 1991–2000 period, we analyze the effect of copyrights (in this case, team logos) using several parametric estimators, the Arellano and Bond [1991. Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies 58, 277–297] dynamic panel data estimator, and a semi-non-parametric method based on difference-in-differences propensity score matching. We find a negative effect of logo changes on franchise value that is robust across multiple specifications. In addition, logo changes also appear to have a moderate positive, albeit not particularly robust, impact on ticket sales.     

Particle filters for continuous likelihood evaluation and maximisation

In this paper, a method is introduced for approximating the likelihood for the unknown parameters of a state space model. The approximation converges to the true likelihood as the simulation size goes to infinity. In addition, the approximating likelihood is continuous as a function of the unknown parameters under rather general conditions. The approach advocated is fast and robust, and it avoids many of the pitfalls associated with current techniques based upon importance sampling. We assess the performance of the method by considering a linear state space model, comparing the results with the Kalman filter, which delivers the true likelihood. We also apply the method to a non-Gaussian state space model, the stochastic volatility model, finding that the approach is efficient and effective. Applications to continuous time finance models and latent panel data models are considered. Two different multivariate approaches are proposed. The neoclassical growth model is considered as an application.     

How accurate are government forecasts of economic fundamentals? The case of Taiwan

A government’s ability to forecast key economic fundamentals accurately can affect business confidence, consumer sentiment, and foreign direct investment, among others. A government forecast based on an econometric model is replicable, whereas one that is not fully based on an econometric model is non-replicable. Governments typically provide non-replicable forecasts (or expert forecasts) of economic fundamentals, such as the inflation rate and real GDP growth rate.In this paper, we develop a methodology for evaluating non-replicable forecasts. We argue that in order to do so, one needs to retrieve from the non-replicable forecast its replicable component, and that it is the difference in accuracy between these two that matters. An empirical example to forecast economic fundamentals for Taiwan shows the relevance of the proposed methodological approach. Our main finding is that the undocumented knowledge of the Taiwanese government reduces forecast errors substantially.     

Immobiliencontrolling — Optimierung der immobilienbezogenen Kosten durch Gründung einer Generalmietgesellschaft

Ohne Zusammenfassung Dipl.-Ing. (univ.) Michael Belau ist Director und Head of Rental Management Dipl.-Wirtschaftsing. (FH) Michael Schildger ist Vice President und Head of Finance Dr. Verena Sturm ist Manager Corporate Real Estate Services     

Identifying business opportunities for sustainable development: Longitudinal and experimental evidence contributing to the field of sustainable entrepreneurship

Which factors facilitate the identification of business opportunities for sustainable development? To answer this question, we develop a process model of sustainable opportunity identification. We argue that sustainable opportunity identification is a process with transitions from problem to solution identification and from solution to sustainable opportunity identification. Moreover, the transitions are facilitated by two factors—awareness of adverse consequences and entrepreneurial attitude—providing motivation and direction in the process. We tested our model in a field study (N = 107) and two experiments (N = 53 and N = 69). Our findings show that awareness of adverse consequences and entrepreneurial attitude influence the process of sustainable opportunity identification, explaining under which conditions people are more likely to identify business opportunities for sustainable development. Our study thus contributes to the field of sustainable entrepreneurship.     

Anchor stores

Planned shopping malls usually have one or more department (anchor) stores and multiple specialized retailers selling substitutable commodities in each commodity category. If consumers know their taste for the anchor's commodity and its price, but learn about a retailer's commodity only by costly search, collocation may benefit both store types. Intra-mall competition reduces markups, but anchors guarantee a minimum surplus from search. A mall with many retailers makes finding a suitable specialized commodity highly probable. For some parameters, additional consumer search dominates the loss in retail markups, so a profit-maximizing land developer would rent mall space to both store types.