Recent empirical findings suggest that firms might not always engage in economically optimal tax planning. We conduct a series of four laboratory experiments with 223 students and 62 tax professionals to examine whether decision biases offer a behavioral explanation for tax outcomes. We find that individuals overestimate the importance of tax rates relative to the tax base when facing time pressure in tax-planning decisions. This systematic decision bias results in suboptimal choices. In line with the theory of rational inattention, we observe that increasing tax-burden differences between two tax-planning strategies weakly mitigate the decision bias. However, tax-planning behavior is unaffected by the level of experience: students and highly experienced tax professionals are similarly prone to biased decision-making. Overall, our findings suggest that overestimating the implications of salient tax-rate information can cause decision biases and contribute to heterogeneity in tax outcomes. / Series: WU International Taxation Research Paper Series

Generally, service industries require a rapid innovation of service portfolios to gain and maintain a competitive advantage. In this context, service elimination is a tool of portfolio renewal, where customer retention is a strategic priority for companies. This is especially so because service elimination usually causes higher churn rates than an average churn in telecommunications. Thus, customer retention is seen as a major aspect in enhancing service elimination success. The purpose of this paper is to investigate the factors that increase customer churn in the case of service elimination. We use one of the three Hungarian telecommunication Operator's databases containing usage data three months before and after Service elimination in the course of a major service package reform. Contract-related information and demographics of 10 065 customers are used to differentiate between high and low churn factors, taking care of a possible sample selection problem. The results show that in the course of service elimination there is a significant positive relationship between price decrease, tenure, interaction intensity on the one, and customer retention on the other side. Besides these, demographics (age and residence) also play an important role in explaining churn rates during service elimination. Furthermore, we find that a higher monthly fee after elimination increases the customer´s usage intensity. This research aims to contribute both to service elimination, as well as to customer retention literature, by hierarchical modeling of retention and usage during service elimination with practical implications for decision-makers in rapidly innovating telecommunication markets. / Series: Department of Economics Working Paper Series

This article explores how a public service broadcasting company, namely ORF in Austria, has dealt with the challenges created by the dual system. An investigation of market requirements, public programming mandate, cost structure and financing needs reveals how economic and political constraints are interrelated. To illustrate this phenomenon, we focus on programming, specifically on the highly successful genre of popular folksy music ('Volkstümliche Musik'). Opinions of decision-makers responsible for programming strategies at the Austrian PSB company are linked with a detailed empirical analysis of one prosperous production within that genre. This enables us to draw a number of conclusions on the strategies pursued by public service broadcasting companies to master the changed market conditions and draw attention to so far unattended topics. / Series: Department of Economics Working Paper Series

根據民國88至90年教育部統計處出版的資料，本文首先利用資料包絡分析法評估個別國立大學之技術效率；然後，以Tobit截斷迴歸模型探討可能造成國立大學技術效率差異之因素。技術效率評估結果顯示，在不同投入產出組合下，國立大學整體的技術效率平均值介於115.30﹪與122.17﹪之間，並且，規模效率平均值大於1，代表：台灣國立大學在產出上仍存在改善空間；且造成其不效率之原因，主要歸咎於純技術無效率及規模無效率。Tobit截斷迴歸實證結果顯示，大學部學生比例與技術效率之關係為負向，競爭程度的提高可提昇國立大學的經營效率，師範與科技類大學的技術效率低於其他大學。 關鍵詞：技術效率、資料包絡分析法、Tobit截斷迴歸方法 JEL Classification：L83、M11、M21

Corporate Growth is a concept that has been widely treated in a specific way or as part of strategy theories, in definition and in econometric models and has also been studied in many different aspects and approaches. The author describes in depth the main variables affecting corporate growth and the underlying business processes. This empirical research has focused on Sales, Profit-Cash Flow, Risk, Created Shareholder Value, Market Value and Overall Performance econometric models. These panel data models are based on the 500 Companies of the Standard & Poor’s 500. The methodology used has been very strict in identifying exogenous variables, walking through the different alternative econometric models, discussing results, and, in the end, describing the practical implications in today’s business corporate management. We basically assume that the Functions/Departments act independently in the same company, many times with different objectives, and in this situation clear processes are key to clarify the situations, roles and responsibilities. We also assume that growth implies interactions among the different functions in a company and the CEO acts to lead and coach his immediate Directors as a referee of the key conflicts through his Operating Mechanism. The objective of this PhD Dissertation is to clarify the business priorities and identify the most relevant variables in every process leading to the highest efficiency in reaching a sustainable and profitable growth. It covers the lack of academic studies on the nature and specific driving factors of corporate growth and provides a working framework for Entrepreneurs and Management leading to the Company’s success.