Measuring ‘indirect’ investments in ICT in OECD countries

ABSTRACT

ICT components, such as microprocessors, may be embodied in other capital goods not recorded as ICT in National Accounts. We name ‘indirect ICT investment’ the value of embodied ICT components in non-ICT investment. The paper provides estimates of ‘indirect ICT investment’ based on detailed and unpublished Supply-Use tables (SUT) in 12 OECD countries: Australia, Belgium, Canada, Chile, Czech Republic, Denmark, France, Germany, Japan, Israel, Mexico, New Zealand, the United Kingdom, and the United States.

Our main finding is that ICT investment appears significantly higher when considering its indirect component, the average increase being about 35%. The inclusion of indirect ICT investment, excluding software (for which firms’ expenditures are difficult to measure), changes significantly the relative position of countries with respect to the ICT intensity of their investments. The inclusion of software further increases indirect ICT investment but the increase is smaller (in percentage) than without this inclusion. A final result, but concerning only three countries, it that the diagnosis of a stabilisation, or even a decrease, of ICT investment in percentage of GDP or of total investment, observed from the beginning of the century, is not modified if we take into account the indirect ICT investment.     

Public credit and liquidity in James Steuart's Principles

Abstract

The aim of this article is to shed new light on the monetary and financial theory of James Steuart (1767) through his examination of the speculative bubbles of 1720: that is, the John Law System in France and the South Sea Bubble in England. In contrast to most contemporary writers – particularly David Hume and Adam Smith – Steuart had a balanced opinion about these two financial experiments. On the one hand, Steuart considered them worthwhile, since they were attempts at public debt restructuring by reducing its expense and increasing its liquidity. Moreover, according to Steuart, a well-managed public debt favours the liquidity of both banks and the financial market. These worked together for the growth of wealth. However, on the other hand, Steuart claimed that the failure of these experiments was due to: (i) a poor management of money; (ii) a violation of credit rules and its corollary, the weakness of banks; (iii) the adoption of contestable dividend and financial information policy. This article presents Steuart's proposals for creating the liquidity of both banks and the financial market via a well-managed public debt.     

INTELLECTUAL PROPERTY RIGHTS IN A KNOWLEDGE-BASED ECONOMY: A NEW FRAME-OF-ANALYSIS

The debate on software intellectual property rights (IPRs) has not only highlighted fundamental issues regarding the scheme of protection that software enjoys, it has also pointed out major gaps in the representation of computer programs as economic goods. In this respect, various interpretations of software propose a limited outlook by referring only to particular aspects of computer programs.

The paper discusses the economic nature of software and computational processes and how they should be properly represented as commodities by focusing on software IPR legislation in the US. It elaborates the similarities and differences between software applications and machines on the basis of historical evidence from the evolution of information technologies and computer science. Further, we discuss whether computer programs should enjoy IPR protection (like their physical equivalents) and which legal regime would induce the maximal degree of societal benefits, while satisfying private and public interests.

The paper also elaborates the essential issues of the distinction between ideas and expressions and the ways they are treated as intellectual property. It highlights major aspects in the debate over protection of software applications by both patents and copyrights and analyses the economic impact of the joint regime.

By highlighting the dissimilarities in the economic nature and market behaviour of ideas and expressions we point out the difficulties in drawing parallels between software and physical equivalents. Finally, we provide alternative ways to establish coherent juridical basis and legal policy of software IPRs that aim at stimulating innovation and developing the technological landscape in information technologies.     

A selective review of the first 20 years of instrumental variables models in health-services research and medicine

Abstract

Background:

The method of instrumental variables (IV) is useful for estimating causal effects. Intuitively, it exploits exogenous variation in the treatment, sometimes called natural experiments or instruments. This study reviews the literature in health-services research and medical research that applies the method of instrumental variables, documents trends in its use, and offers examples of various types of instruments.     

Therapy Cost 2000: a computer model for pharmacoeconomic analysis

Summary

Today more than ever, providing quality care to patients at the lowest cost is of primary concern to hospitals, clinics, managed care organisations, integrated health systems, and all other healthcare providers operating in a prospective payment environment. Healthcare decision makers must allocate resources based on the most cost-effective treatments without sacrificing quality of care. Therapy Cost 2000 is a user-friendly Windows-based software program that can assist decision makers in reaching the goal of cost-effective quality patient care. Potential uses of the software include: cost analysis for formulary recommendations and policy initiatives, quantification of the budgetary impact of new therapies, head-to-head cost-effectiveness analysis of treatment options, and forecasting of future resource expenditures through modelling of treatment costs and treatment patterns.     

Holding back from theory: limits and methodological alternatives of randomized field experiments in development economics

ABSTRACT

In this paper, we critically and constructively examine the methodology of evidence-based development economics, which deploys randomized field experiments (RFEs) as its main tool. We describe the context in which this movement started, and illustrate in detail how RFEs are designed and implemented in practice, drawing on a series of experiments by Pascaline Dupas and her colleagues on the use of bednets, saving and governance in Kenya. We show that this line of experiments have evolved to address the limitation of obtaining policy-relevant insights from RFEs alone, characterized as their lack of external validity in the literature. After examining the two prominent responses by leading figures of evidence-based development economics, namely machine learning and structured speculation, we propose an alternative methodological strategy that incorporates two sub-fields, namely experimental economics and behavioral economics, to complement RFEs in investigating the data-generating process underlying the treatment effects of RFEs. This strategy highlights promising methodological developments in RFEs neither captured by the two proposals nor recognized by methodologists, and also guides how to combine different sub-fields of economics.     

Competition and open source with perfect software compatibility

In this paper we study duopolistic competition between closed and open source software. Inspired by recent contributions on open source, we propose a two-stage game with perfect information and product differentiation, in which producers first set software quality and then determine prices (the price is zero for open source programs). We assume perfect software compatibility and model lock-in effects, a network externality component of software quality, and accumulation of experience in software use and implementation. In comparison to the monopolistic benchmark case, we argue that, in a duopoly created by the emergence of an open source program, the proprietary software producer will reduce its selling price if: (i) its network of users is larger than the open source network and its consumers are largely familiar with its program, (ii) it has a small network of unskilled consumers. On the other hand, the price of proprietary software will increase if its users form a large, but poorly-skilled network. Furthermore, we show that, in all of the above cases, the hedonic quality of proprietary software increases. Finally, by modeling experience accumulation processes through difference equations, we show that the ratio between the closed and open source programs’ opportunity costs for software learning and deployment plays a crucial role in shaping market outcomes. If open source software remains too complex and technical for unskilled or time-pressed users, a shared market solution, in which both programs are adopted, is likely to emerge. However, if opportunity costs in learning and understanding open source programs are particularly low, or at least equal to the opportunity costs of a closed-source program, then open source dominance emerges (i.e. markets tip to open source).     

Medical economic impact of tracheotomy patients on a hospital system

Abstract

Background:

Tracheotomy patients are a small portion of hospitalizations, but account for disproportionately high risk and costs. There are many complex decisions that go into the care of these patients, and practice variation is expected to be compounded in a health system. This study sought to characterize the medical economic impact of tracheotomy patients on the hospital system.

Methods:

A retrospective review of the health system’s hospital billing software was performed for 2013, and pertinent outcomes measures were tabulated.

Results:

There were 829 tracheotomies performed in the health system of seven hospitals, with total costs of $128,883,865. Average length of stay was 36.74 days for principal procedures, and 43.36 days for tracheotomy as secondary procedures. Mortality was ～18% overall, and re-admissions were 10.93% for primary, and 14.36% for secondary procedures. A fairly wide variation in each category among the different hospitals was observed.

Conclusions:

There are potentially many factors that impact variations of care and outcomes in patients with tracheotomy. Due to their large economic impact and risks for morbidity and mortality, a formalized care pathway is warranted. Goals of the pathway should include understanding medical decisions surrounding these complex patients, monitoring pertinent outcomes, reducing practice variation, and improving the efficiency of compassionate care.     

The psychology of sunk cost: A classroom experiment

Abstract

Economics and business students are taught that sunk costs are irrelevant to their decisions. Yet, there is ample evidence that managers fail to integrate this simple rule and fall prey to what is known as the sunk-costs bias. To mitigate cognitive biases, such as the sunk-cost bias, educators must raise students’ awareness of these common judgment errors. In this article, the author proposes a classroom activity that actively engages students and allows them to identify this bias in their own judgments. The activity builds on a series of experiments from the psychology literature. The author discusses how these experiments have been adapted for classroom use and presents evidence suggesting that the activity increased students’ awareness of the sunk-cost bias and improved their decision-making skills.     

Mitigating the effects of distance on collaborative intellectual work

This paper reviews systematic research on collaborative work involving synchronous, or same-time, interactions, which comprise a major challenge for projects in which a distance of 30 metres or more separates participants. It identifies the specific advantages of close proximity, or 'radical co-location', in which participants share a common room or workspace. Reference to these advantages is used to assess the shortcomings of co-operative work support techniques including software and video conferencing. A variety of contexts in which distant collaboration is undertaken are examined in order to identify instances of success, as well as a range of specific problems related to cultural and time zone differences and the limitations of available of information and communication technologies for interpersonal communication. Prospects for future technologies to transcend these limitations are discussed.     

Internet cautions: Experimental games with internet partners

We report the results of experiments conducted over the internet between two different laboratories. Each subject at one site is matched with a subject at another site in a trust game experiment. We investigate whether subjects believe they are really matched with another person, and suggest a methodology for ensuring that subjects’ beliefs are accurate. Results show that skepticism can lead to misleading results. If subjects do not believe they are matched with a real person, they trust too much: i.e., they trust the experimenter rather than their partner. JEL Classification C9     

Cost-effectiveness analysis of ramucirumab treatment for patients with hepatocellular carcinoma who progressed on sorafenib with α-fetoprotein concentrations of at least 400 ng/ml

Abstract

Objective: This study aimed to compare the cost-effectiveness of ramucirumab versus placebo for patients with hepatocellular carcinoma who progressed on sorafenib with α-fetoprotein concentrations (AFP) of at least 400?ng/ml in the United States.

Methods: A Markov model was constructed to assess the cost-effectiveness of ramucirumab. Health outcomes were measured as quality-adjusted life years (QALYs). With TreeAge software, the disease process was modeled as three health states: progression-free survival (PFS), progressive disease (PD), and death. Costs were extracted from the REACH-2 trial, and utility was derived from published literature. Incremental cost-effectiveness ratios (ICERs) were calculated to compare ramucirumab with placebo. Probabilistic sensitivity analyses were developed to examine the robustness of the results.

Results: In the base case analysis, ramucirumab therapy had a cost of $55,508.41 and generated 0.54 QALYs, while placebo therapy had a cost of $761.09 and generated 0.47 QALYs, leading to an additional $54,747.32 in costs and 0.07 QALYs. The ICER was $782,104.57 per QALY, which was much higher than the willingness-to-pay threshold of $100,000 per QALY. According to sensitivity analyses, the utility of PD in the two groups was the dominant parameter influencing the ICER.

Conclusion: Although ramucirumab was associated with prolonged survival for patients with advanced hepatocellular carcinoma who progressed on sorafenib treatment with an AFP of at least 400?ng/ml, it is not a cost-effective treatment from a United States payer perspective.     

House money effects in public good experiments: Comment

We reconsider evidence from experiments that claim to show that using “house money” in standard public goods experiments has no effect on behavior. We show that it does have an effect when one examines the data using appropriate statistical methods that consider individual-level responses and account for the error structure of the panel data. JEL Classification D7 · C92 I am grateful for comments from two referees and an editor. All data and statistical code are available for public access at the ExLab Digital Library located at http://exlab.bus.ucf.edu.     

Design and evaluation of an economic experiment via the Internet

The paper investigates whether Internet experiments are an appropriate alternative to traditional laboratory experiments. For an economic experiment of individual decision making results obtained over the Internet are compared to results obtained in the laboratory using exactly the same software. Of particular interest are differences in individual behavior. Our main findings are: (1) running our own experiment on the Internet and in the laboratory generated similar data when economic decision behavior is concerned. (2) Variance in economic decision behavior is generally higher on the Internet experiment. (3) Decision times are shorter on the Internet. (4) Internet software provides a helpful platform for implementing economic experiments. The paper also reports on design challenges and how we have solved them.     

Pragmatism, not ideology: Historical perspectives on IBM’s adoption of open-source software

We track IBM’s approach to software production and commercialization between 1950 and the present. We find that in the 1950s IBM followed what today would be called an open-source model – its software source code was open, free of charge, and written collaboratively with its users. By the mid 1980s, all of these attributes had been reversed – IBM’s software was closed source, sold or leased independently of hardware sales, and written without the collaboration of its users. More recently, the company has been in a state of transition, achieving a balance between free, open-source software and proprietary software that still generates 20% of its revenues. We interpret these radical swings in light of the substantial changes that have taken place since the 1950s in the costs and benefits of open source, bundled, and collaborative software vis-à-vis the alternatives.     

Comparison of statistical analysis methods for object case best–worst scaling

Abstract

Aims: Different methods have been used to analyze “object case” best–worst scaling (BWS). This study aims to compare the most common statistical analysis methods for object case BWS (i.e. the count analysis, multinomial logit, mixed logit, latent class analysis, and hierarchical Bayes estimation) and to analyze their potential advantages and limitations based on an applied example.

Methods: Data were analyzed using the five analysis methods. Ranking results were compared among the methods, and methods that take respondent heterogeneity into account were presented specifically. A BWS object case survey with 22 factors was used as a case study, tested among 136 policy-makers and HTA experts from the Netherlands, Germany, France, and the UK to assess the most important barriers to HTA usage.

Results: Overall, the five statistical methods yielded similar rankings, particularly in the extreme ends. Latent class analysis identified five clusters and the mixed logit model revealed significant preference heterogeneity for all, with the exception of three factors.

Limitations: The variety of software used to analyze BWS data may affect the results. Moreover, this study focuses solely on the comparison of different analysis methods for the BWS object case.

Conclusions: The most common statistical methods provide similar rankings of the factors. Therefore, for main preference elicitation, count analysis may be considered as a valid and simple first-choice approach. However, the latent class and mixed logit models reveal additional information: identifying latent segments and/or recognizing respondent heterogeneity.     

中国软件产业效率的测度及时空动态演进

本文基于Global超效率DEA模型全面测度2009—2018年我国软件产业效率,并采用条件Kernel密度从静态和动态双重视角揭示中国软件产业效率的时空动态演进特征.研究发现,我国软件产业效率整体较低,东部、中部、西部地区间存在较大差距,并且该差距逐步扩大;东部、中部、西部三大地区内部省份间软件产业效率差距呈现不同程度的缩小;整体上我国省份间软件产业效率不存在空间集聚;东部地区内部省份间存在负向空间溢出效应,而中部、西部地区内部省份间不存在明显的空间溢出效应.为实现我国软件产业的高质量发展,本文建议进一步增强软件企业技术创新能力,各地区继续挖掘优势并着力补齐短板,构建软件产业协同发展格局.     

Can intertemporal choice experiments elicit time preferences for consumption?

The paper considers what can be inferred about experimental subjects’ time preferences for consumption from responses to laboratory tasks involving tradeoffs between sums of money at different dates, if subjects can reschedule consumption spending relative to income in external capital markets. It distinguishes three approaches identifiable in the literature: the straightforward view; the separation view; and the censored data view. It shows that none of these is fully satisfactory and discusses the resulting implications for intertemporal decision-making experiments. JEL Classification C90, C91, D90, D91, D11, D12     

Economic impact of industry-sponsored clinical trials of pharmaceutical products in Austria

Abstract

Aims: Modern pharmaceutical product development is a long and complex process associated with significant investments by pharmaceutical companies. The innovative pharmaceutical industry accounts for the vast majority of expenditures in clinical trials of potential new pharmaceuticals and therefore generates economic activity within a country. The aim was to assess the far-reaching economic impact of industry-sponsored clinical-trials (ISCTs) of pharmaceutical products for the healthcare system and the national economy.

Materials and methods: The study approach was based on three analytical steps. First, a survey among 15 pharmaceutical companies in Austria was conducted to evaluate the annual number of ISCTs subdivided according to trial phase, therapeutic areas and associated employees. Second, the monetary value of treatments performed in ISCTs was calculated based on a sample of clinical-trial protocols. Finally, the macroeconomic impact, measured in terms of value-added and jobs created by the conducted ISCTs, was calculated using Input–Output analysis by applying an extended Leontief-model.

Results: The study demonstrated that €116.22 million spent in ISCTs generated a total value added of €144 million, €74 million direct, in 2018. Each year a medical treatment value of €100 million was financed through 463 ISCTs, with an average value of medical treatment of €37,068 per recruited patient. This represents a significant 0.3% of annual current health-expenditures. In summary, each Euro invested by the pharmaceutical industry in ISCTs generates €1.95 for the Austrian economy. ISCTs also created and secured employment in the extent of 2,021 full-time-equivalents, thus resulting in an employment multiplier of 1.66.

Conclusions: In conclusion, conducting clinical-trials by pharmaceutical industry—beside its importance in its own domain—results in tangible benefits and a positive macroeconomic impact that contribute to the sustainability of the Austrian healthcare system by complementing its limited resources. Furthermore, it is a non-negligible factor in locational and industrial policy.