Inflation Targeting versus Nominal Income Targeting

In this paper we analyze two different target regimes, flexible inflation targeting and nominal income targeting, under discretion in a simple dynamic macro model. The key results of our paper are: First, for both targeting regimes optimal monetary policy response leads to a shock-dependent feedback rule. Second, a demand shock is completely offset by both monetary strategies. Third, in case of a supply shock there is a significant difference between the two different targeting regimes. Under inflation targeting the policy makers face a trade-off between inflation and output stabilization. This trade-off depends on the weight Φ the policy makers attach to output stabilization relative to inflation stabilization in the loss function. In contrast, under nominal income targeting policy makers face a constant trade-off between inflation and real output growth: an increase in inflation leads to a fall in real output growth by an equal amount. Furthermore, in Appendix A we analyze a (linear) commitment solution for inflation targeting and compare it with the discretionary case. Under commitment, inflation is smaller and the output gap is larger than under discretion. In Appendix B, we investigate inflation targeting in a two-period time-lag version of the model. The qualitative results on the trade-off between inflation and output growth remain the same as in the basic model without time lag. Received May 3, 2000; revised version received December 3, 2001 Published online: February 17, 2003     

Strategic Cost Management and Institutional Changes in Hospitals

Accounting research raises the concern that firms in the health care and defence contracting industries, when facing a dual payment system with both cost-based and fixed-rate payments, have an incentive to reallocate overhead costs through increasing inputs used in cost-based operations. However, prior literature reports contradictory empirical evidence regarding such real activity manipulation. Drawing on the institutional perspective, we hypothesise that firms' market power and interorganisational dependence affect their cost-management strategies and choice of overhead allocation in response to dual payment systems. Analysing the data of California hospitals from 1980 to 1991, we find that when facing a dual payment system, dominant (strong market position) hospitals adopt a cost-revenue-enhancing strategy, increasing direct costs for cost-based services without containing costs in fixed-rate services. In contrast, nondominant hospitals choose a cost-reduction strategy and improve operation efficiency on fixed-rate services. We also find that nondominant hospitals shift more overhead costs away from fixed-rate services to cost-based services by reclassifying the allocation bases across services; combining this cost shifting with the cost-reduction strategy, nondominant hospitals demonstrate the compliance with the regulation expectation of cost containment.     

A flexible regime switching model with pairs trading application to the S&P 500 high-frequency stock returns

This paper develops the regime classification algorithm and applies it within a fully-fledged pairs trading framework on minute-by-minute data of the S&P 500 constituents from 1998 to 2015. Specifically, the highly flexible algorithm automatically determines the number of regimes for any stochastic process and provides a complete set of parameter estimates. We demonstrate its performance in a simulation study—the algorithm achieves promising results for the general class of Lévy-driven Ornstein–Uhlenbeck processes with regime switches. In our empirical back-testing study, we apply our regime classification algorithm to propose a high-frequency pair selection and trading strategy. The results show statistically and economically significant returns with an annualized Sharpe ratio of 3.92 after transaction costs—results remain stable even in recent years. We compare our strategy with existing quantitative trading frameworks and find its results to be superior in terms of risk and return characteristics. The algorithm takes full advantage of its flexibility and identifies various regime patterns over time that are well-documented in the literature.     

The Reaction of Coffee Futures Price Volatility to Crop Reports

Analysis of prices and volatility plays an important role in coffee market, especially for developing countries, whose small producers and economies rely heavily on income generated by coffee trade. This study explores the impact of coffee crop reports on price volatility for coffee futures contracts during 2004–2014. Overall, results indicate that crop reports generally affect price volatility. The impact is particularly stronger when they provide information following the flowering periods in Colombia, Brazil, and Vietnam, world’s major producers.     

The hierarchical terminology technique: a method to address terminology inconsistency

A review of prior research in the computer-supported cooperative work (CSCW) field found that the terminology and definitions used by researchers were inconsistent, with some terms being defined differently but then used interchangeably. Inconsistency in the use of terminology makes it difficult to determine what technology is being used in the research and where a research study fits into the research field. Authors in many fields describe the problem of inconsistent terminology use. A suitable method for identifying inconsistencies and structuring terminology for greater clarity of terminology use in a given research field was not identified. This paper presents a new method, the hierarchical terminology technique (HTT), which is a form of qualitative content analysis process that extends the idea of concept mapping. HTT was developed for this research problem to structure a hierarchy of terms to expose the relationship between the terms. This technique includes terminology identification, analysis and presentation to show the scope of the research field, and to present terminology and definitions to improve consistency. This technique could be used in other fields of study.     

Die Erhebung personenbezogener Gesundheitsdaten bei Dritten

The recently introduced § 213 VVG is linked to an interesting history and regulates an issues that had been discussed in the insurance industry for some time. In its application § 213 VVG is more particular than regulations by the German data protection act, at least concerning the collection of health data. For the processing and usage of data the regulations of the German data protection act still apply. Time will show whether § 213 VVG will lead to a reconciliation of interests of the insured with those of the insurer. The aforementioned two-week-period for the data survey might be a contribution to achieve this goal.     

Is there an asymmetric effect of monetary policy over time? A Bayesian analysis using Austrian data.

The present paper assesses whether monetary policy effects are asymmetric over the business cycle by estimating a univariate model for GDP including additionally the first difference of the 3-month Austrian interest rate as a measure for monetary policy. The asymmetry of the effects is captured by allowing for state-dependent parameters where the latent state variable follows a Markov switching process. The model is estimated within a Bayesian framework using Markov Chain Monte Carlo simulation methods. Model selection and specification tests are performed by means of marginal likelihood. The results document significant negative effects of monetary policy during periods of below-average growth, while the effect seems insignificant during periods of normal or above-average growth. These results corroborate those derived in theoretical models assuming price rigidities and implying a convex supply curve. Additionally, the concern of using appropriate state-identifying restrictions is raised to obtain an unbiased posterior inference. Finally, the analysis concludes by assessing the robustness of the results with respect to alternative measures of monetary policy. First Version Received: December 2000/Final Version Received: May 2001     

Type of earnings management and the effect of ownership structure, firm size, and corporate-governance practices: Evidence from Indonesia

The purpose of this study is to investigate whether companies listed on the Jakarta Stock Exchange (JSE) conduct efficient or opportunistic earnings management and to examine the effect of ownership structure, firm size, and corporate-governance practices on it.Using multiple regressions, we find evidence that the type of earnings management selected by JSE listed firms tends toward efficient earnings management. This evidence is inconsistent with the common view that earnings management in Indonesia is opportunistic. Family ownership has a significant influence on the type of earnings management selected. Firms with a high proportion of family ownership and non-business groups are more inclined to choose efficient earnings management than other types of firms. We find inconsistent evidence with regard to the impact of institutional ownership, firm size, and corporate-governance practices on type of earnings management.     

Creating entrepreneurial employees in traditional service sectors

Increasingly companies seek to enhance employee entrepreneurial behaviour. In this study we explore how coaching first reduces role conflicts associated with acting entrepreneurial and at the same time improving efficiency and reducing failure and secondly increases the entrepreneurial self-efficacy of employees. Building on previous conceptual and empirical studies on intrapreneurship, social psychology and human resource management we formulate several hypotheses concerning the relationship between self-efficacy, coaching and entrepreneurial behaviour of account managers that are tested in the context of a large service organization operating in the financial sector. In doing so we confirm and extend our insights on entrepreneurial behaviour in existing companies.     

The university as a social economy: Jane Smiley’sMoo

Jane Smiley's novel, Moo, is reviewed for the models of social economy portrayed therein. The models are those of the faculty, university governance, and the students, as well as the total social economy and valuation process to which the foregoing contribute. The basic story, portrayed in part through tales of the lives and foibles of individuals, is one of resource allocation, organization and control, distribution of gains and sacrifices, and the working out of the purposes, values, and objectives of an institution. Also covered is the tale of a faculty economist who lives his life along the lines of the self-interested rationality model.