The transient and persistent efficiency of Italian and German universities: a stochastic frontier analysis

Despite measures on the European level to increase the compatibility between the higher education sectors, the recent literature exposes variations in their efficiencies. To gain insights into these differences, we split the efficiency term according to the two management levels each university is confronted with. We separate short-term and long-term efficiency while controlling for unobserved institution-specific heterogeneity. We argue that the first term reflects the efficiency of the individual universities working within the country, while the second term echoes the influence of the overall country-specific higher education structure. The cross-country comparison displays whether efficiency differences between countries are related to the individual performance of their universities or their higher education structure. This allows more purposeful policy recommendations and expands the literature regarding the efficiency of universities in a fundamental way. Choosing Italy and Germany as two important illustrative examples, we show that the Italian higher education sector exhibits a higher overall efficiency value. With the individual universities working at the upper bound of efficiency in both countries, the remaining inefficiency and the gap between the countries are caused by persistent, structural inefficiency. Future measures should hence aim at the country-specific structure and not solely at the activities of single universities.     

Pseudolikelihood estimation of the stochastic frontier model

Stochastic frontier analysis is a popular tool to assess firm performance. Almost universally it has been applied using maximum likelihood (ML) estimation. An alternative approach, pseudolikelihood (PL) estimation, which decouples estimation of the error component structure and the production frontier, has been adopted in both the non-parametric and panel data settings. To date, no formal comparison has yet to be conducted comparing these methods in a standard, parametric cross-sectional framework. We produce a comparison of these two competing methods using Monte Carlo simulations. Our results indicate that PL estimation enjoys almost identical performance to ML estimation across a range of scenarios and performance metrics, and for certain metrics, outperforms ML estimation when the distribution of inefficiency is incorrectly specified.     

Efficiency measurement of the English football Premier League with a random frontier model

Using the random stochastic frontier model, this paper examines the technical efficiency of the English football Premier League from 1998/99 to 2003/04. The model disentangles homogenous and heterogeneous variables in the cost function, which leads us to advise the implementation of common policies as well as policies by clusters.     

Efficiency measurement using a latent class stochastic frontier model

Efficiency estimation in stochastic frontier models typically assumes that the underlying production technology is the same for all firms. There might, however, be unobserved differences in technologies that might be inappropriately labeled as inefficiency if such variations in technology are not taken into account. We address this issue by estimating a latent class stochastic frontier model in a panel data framework. An application of the model is presented using Spanish banking data. Our results show that bank-heterogeneity can be fully controlled when a model with four classes is estimated. This paper was written during Luis Oreas visit to Binghamton University in the summer of 2002. We would like to thank an associate editor of the journal and two anonymous referees for their detailed comments. However, we alone are responsible for any remaining errors.     

Estimating a mixture of stochastic frontier regression models via the em algorithm: A multiproduct cost function application

Researchers have become increasingly interested in estimating mixtures of stochastic frontiers. Mester (1993), Caudill (1993), and Polachek and Yoon (1987), for example, estimate stochastic frontier models for different regimes, assuming sample separation information is given. Building on earlier work by Lee and Porter (1984), Douglas, Conway, and Ferrier (1995) estimate a stochastic frontier switching regression model in the presence of noisy sample separation information. The purpose of this paper is to extend earlier work by estimating a mixture of stochastic frontiers assuming no sample separation information. This case is more likely to occur in practice than even noisy sample separation information. In order to estimate a mixture of stochastic frontiers with no sample separation information, an EM algorithm to obtain maximum likelihood estimates is developed. The algorithm is used to estimate a mixture of stochastic (cost) frontiers using data on U.S. savings and loans for the years 1986, 1987, and 1988. Statistical evidence is found supporting the existence of a mixture of stochastic frontiers. First version received: 3/13/01/Final version received: 6/17/02 RID="*" ID="*"  I am grateful to Ram Acharya, Janice Caudill, and especially James R. Barth for several helpful comments on an earlier version of the paper. During the revision process I benefitted greatly from the suggestions of the Associate Editor and three anonymous referees.     

Quantile estimation of frontier production function

The purpose of the paper is to provide new information on the performance of frontier estimation methods, using data from Italian hotel industry. Quantile regression is also suggested as solution to frontier production function estimation. It is shown that, while the choice of estimation methods among conventional techniques significantly affects the economic analysis, quantile regression provides valuable new information by estimating the whole spectrum of production functions corresponding to different efficiency levels. In addition, the method makes available a coherent framework to analyze the performance of the conventional techiniques. Jel classification: C14, C16, D24We would like to thank the Co-Editor, the Associate Editor and an anonymous referee for comments and suggestions. The research was supported by the University Research Council and the National Research Council. The usual disclaimer applies.The estimates were computed using the Roger Koenker and StatLibS-Plus routine of quantile regression and the Tim Coelli and CEPA Web site FRONTIER 4.1 Program. The data set is provided by the Ho.Re.Ca. survey conducted by ISTAT in 1992.First version received: June 2001/Final version received: December 2002     

The Brazilian Soccer Championship: an efficiency analysis

This article analyses the top Brazilian football league from 2003 to 2011 by estimating a cost function and using a stochastic frontier model. Among the covariates, the number of fans per club and club remoteness is taken into account. The Brazilian clubs are then ranked according to their technical efficiency during the 2000–2011 period. Based on the results, the policy implication is presented, and the economic implications arising from the study are also considered.     

A characterization of virtual Bayesian implementation

We provide a characterization of virtual Bayesian implementation in pure strategies for environments satisfying no-total-indifference. A social choice function in such environments is virtually Bayesian implementable if and only if it satisfies incentive compatibility and a condition we term virtual monotonicity. The latter is weaker than Bayesian monotonicity—known to be necessary for Bayesian implementation. Virtual monotonicity is weak in the sense that it is generically satisfied in environments with at least three alternatives. This implies that in most environments virtual Bayesian implementation is as successful as it can be (incentive compatibility is the only condition needed).     

A performance assessment of the Angolan soccer league

This article analyses the technical efficiency of the Angolan soccer league from 2008 to 2014, using a translog distance stochastic frontier model. The Greene stochastic frontier model, presented in 2005, and Kumbhakar stochastic frontier model, presented in 1990, are adopted, and the covariates used include Luanda location, funding by the oil company Sonangol, club supported by rich fans and club relegated during the period. Policy implications are then derived.     

基于非参数随机前沿面模型的高技术产业效率研究

笔者利用非参数-随机前沿面模型对我国的高技术产业效率进行了实证研究。研究结果表明我国的高技术产业发展过多的是依靠数量扩张,投入产出效率不高,各地区之间的高技术产业效率差异很大,而且在某些地区还存在着高技术产业发展水平和效率水平相背离的现象。     

The Independence of the Italian Constitutional Court

It is often asserted that the Italian Constitutional Court is not independent of the Executive and Legislative branches of the government in Rome. We offer a view of independence that is congruent with bodies such as constitutional courts. We argue that the evidence, both qualitative and quantitative, however poor it may be, indicates that the Italian Constitutional Court is as independent as any other corresponding constitutional or supreme court of democratic countries. The evidence is not directly conclusive because the question, in the end, is not whether the judges, one by one, are independent, but whether the Court is independent. The evidence we offer pertains mostly to judges. If judges are independent, as that evidence seems to indicate, the Court is a fortiori even more independent.     

A stochastic frontier model of the productive efficiency of Korean container terminals

A central objective of port privatization and/or deregulation policies is stimulating greater efficiency by engendering a more competitive market and commercial approach to management. Korea provides a prime example of a nation that is implementing such policies. Also, its ports play a pivotal role in world shipping, particularly in the ever-burgeoning container market. The success of these policies in increasing the productive efficiency of Korean container terminals is assessed. The UK container terminal sector provides a useful benchmark for comparison since privatization and deregulation have formed an integral part of UK port reforms for nearly 20 years and the effect on efficiency, having had time to mature, will be much easier to gauge. The stochastic frontier model is justified as the chosen methodology for estimating productive efficiency levels and is applied to cross-sectional data under a variety of distributional assumptions. A panel data model is also estimated. Results are consistent and suggest (1) The degree of private sector involvement in sample container terminals is positively related to productive efficiency and (2) Improved productive efficiency has followed the implementation of privatization and deregulation policies within the Korean sector. Even though not categorical, these conclusions are important because the market for container throughput is internationally competitive and if policies which promote competition between Korean container terminals lead to greater productive efficiency, this will inevitably make the sector as a whole more competitive internationally.     

Aggregate Matching Efficiency: A Stochastic Production Frontier Approach, France 1990–1994

We evaluate the determinants of aggregate matching efficiencychanges through a stochastic translog production frontiermodel. The efficiency coefficient is represented by a stochasticfunction of variables meant to capture workers and firmscharacteristics. The model is estimated on French data coveringtwenty-two regions from March 1990 till February 1995. Ourestimates suggest that aggregate matching efficiency has decreasedsteadily in the early nineties. There are also wide cross-regionaldifferences. On average, about 30% of the variations ofefficiency observed across time and regions can be related tochanges in the explanatory variables used in the model. The mostimportant explanatory variables are the proportion of youngsters,females and immigrants in the stock of job seekers. Long-termunemployment has a significant negative effect, population densitya significant positive one. The huge decline in the proportion ofpermanent job offers has apparently little effect on matchingefficiency.     

A Bayesian Approach to Double Bounded Contingent Valuation

In this paper we propose a Bayesian approach to model double bounded contingent valuation data. The double bounded elicitation method is interpreted as a two tier iterated process in which the subject is allowed to have a second thought about his/her valuation for the environmental good. Prior information is modelled from the answers to the first dichotomous choice question. The model is Quasi-Bayesian (Q-B) in that the prior distribution refers to mean willingness to pay while the likelihood function refers to the proportions of a multinomial distribution. This model is applied to empirical data from a contingent valuation survey involving the valuation expressed by European tourists for access to natural areas in the Canary Islands. Results show that point estimate of consumer surplus computed with the Q-B model does not differ substantially from single bounded model estimation. In addition, double bounded seems to be quite robust to the choice of the prior model of willingness to pay responses. Comparison with open ended suggests that the Q-B model might be useful to control for strategic response and starting point biases.     

经济增长的技术效率及其影响因素研究——以四川省为例

运用2000—2010年数据,基于对数型柯布—道格拉斯生产函数的随机前沿模型,对四川省区域经济增长效率及其影响因素进行研究。结果表明,四川省经济增长主要靠劳动力驱动,平均技术效率水平较低,经济处于规模报酬递减状态,且其区域差异有扩大的趋势。而基础设施建设和科研投入对经济增长效率具有促进作用,金融机构的贷款业务和政府财政支出对效率的提高具有抑制作用。     

Evaluating currency crises: A Bayesian Markov switching approach

In this paper we examine the nature of a currency crisis. We do so by employing an out-of-sample forecasting exercise to analyse the Mexican crisis in 1994. Forecast evaluation was based on modern econometric techniques concerning the shape of forecaster’s loss function. We also extend the empirical framework suggested by Jeanne and Masson [Jeanne, O., Masson, P., 2000. Currency crises and Markov-switching regimes. Journal of International Economics 50, 327–350] to test for the hypothesis that the currency crisis was driven by sunspots. To this end we contribute to the existing literature by comparing Markov regime switching model with a time-varying transition probabilities with two alternative models. The first is a Markov regime switching model with constant transition probabilities. The second is a linear benchmark model. Empirical results show that the proxy for the probability of devaluation is an important factor explaining the nature of currency crisis. More concretely, when the expectation market pressure was used as a proxy of probability of devaluation, forecast evaluation supports the view that currency crisis was driven by market expectation unrelated to fundamentals. Alternatively, when interest rate differential is used as a proxy for probability of devaluation, currency crisis was due to predictable deterioration of fundamentals.     

College football attendance: a panel study of the Football Bowl Subdivision

Panel data with an instrumented real ticket price are used to estimate a regular season game-day attendance and per cent of capacity regression equations. Better team performance, whether short term (season wins), intermediate term (bowls games in last 10 years) or long term (lifetime winning percentage), higher undergraduate enrolment, traditional rivalries and video coverage increase per cent of capacity used. Poor weather (more rain or cloud cover), higher travel costs and larger local population decrease it. Fan interest wanes as a season progresses, but this is offset as a team wins more games. Games played near a National Football League stadium, those with conference opponents, non-FBS opponents and non-BCS opponents have lower stadium utilization. The substantive results of the analysis do not change when attendance is used as the dependent variable rather than per cent of capacity.