scholarly journals Money, lies, and replicability: On the need for empirically grounded experimental practices and interdisciplinary discourse

2001 ◽  
Vol 24 (3) ◽  
pp. 433-444 ◽  
Author(s):  
Ralph Hertwig ◽  
Andreas Ortmann
Keyword(s):  
Empirical Evidence ◽  
Methodological Choices ◽  
Design And Implementation ◽  
Target Article ◽  
The Impact

This response reinforces the major themes of our target article. The impact of key methodological variables should not be taken for granted. Rather, we suggest grounding experimental practices in empirical evidence. If no evidence is available, decisions about design and implementation ought to be subjected to systematic experimentation. In other words, we argue against empirically blind conventions and against methodological choices based on beliefs, habits, or rituals. Our approach will neither inhibit methodological diversity nor constrain experimental creativity. More likely, it will promote both goals.

The Impact of Quantitative Easing on Emerging Markets – Literature Review

e-Finanse ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 67-76
Author(s):  
Piotr Bartkiewicz
Keyword(s):  
Emerging Markets ◽  
Large Scale ◽  
Empirical Literature ◽  
Quantitative Easing ◽  
Methodological Choices ◽  
The Subject ◽  
Methodological Approaches ◽  
The Impact ◽  
Sufficient Precision

AbstractThe article presents the results of the review of the empirical literature regarding the impact of quantitative easing (QE) on emerging markets (EMs). The subject is of interest to policymakers and researchers due to the increasingly larger role of EMs in the world economy and the large-scale capital flows occurring after 2009. The review is conducted in a systematic manner and takes into consideration different methodological choices, samples and measurement issues. The paper puts the summarized results in the context of transmission channels identified in the literature. There are few distinct methodological approaches present in the literature. While there is a consensus regarding the direction of the impact of QE on EMs, its size and durability have not yet been assessed with sufficient precision. In addition, there are clear gaps in the empirical findings, not least related to relative underrepresentation of the CEE region (in particular, Poland).

The impact of climate change on the labor allocation: Empirical evidence from China

2020 ◽  
Vol 104 ◽  
pp. 102376
Author(s):  
Kaixing Huang ◽  
Hong Zhao ◽  
Jikun Huang ◽  
Jinxia Wang ◽  
Christopher Findlay
Keyword(s):  
Climate Change ◽  
Empirical Evidence ◽  
Labor Allocation ◽  
Impact Of Climate Change ◽  
The Impact

scholarly journals Are Multi-Language Design Smells Fault-Prone? An Empirical Study

2021 ◽  
Vol 30 (3) ◽  
pp. 1-56
Author(s):  
Mouna Abidi ◽  
Md Saidur Rahman ◽  
Moses Openja ◽  
Foutse Khomh
Keyword(s):  
Programming Languages ◽  
Language Design ◽  
Functional Requirements ◽  
Code Smells ◽  
Design And Implementation ◽  
Design Smells ◽  
The Cost ◽  
The Impact ◽  
Fault Proneness

Nowadays, modern applications are developed using components written in different programming languages and technologies. The cost benefits of reuse and the advantages of each programming language are two main incentives behind the proliferation of such systems. However, as the number of languages increases, so do the challenges related to the development and maintenance of these systems. In such situations, developers may introduce design smells (i.e., anti-patterns and code smells) which are symptoms of poor design and implementation choices. Design smells are defined as poor design and coding choices that can negatively impact the quality of a software program despite satisfying functional requirements. Studies on mono-language systems suggest that the presence of design smells may indicate a higher risk of future bugs and affects code comprehension, thus making systems harder to maintain. However, the impact of multi-language design smells on software quality such as fault-proneness is yet to be investigated. In this article, we present an approach to detect multi-language design smells in the context of JNI systems. We then investigate the prevalence of those design smells and their impacts on fault-proneness. Specifically, we detect 15 design smells in 98 releases of 9 open-source JNI projects. Our results show that the design smells are prevalent in the selected projects and persist throughout the releases of the systems. We observe that, in the analyzed systems, 33.95% of the files involving communications between Java and C/C++ contain occurrences of multi-language design smells. Some kinds of smells are more prevalent than others, e.g., Unused Parameters , Too Much Scattering , and Unused Method Declaration . Our results suggest that files with multi-language design smells can often be more associated with bugs than files without these smells, and that specific smells are more correlated to fault-proneness than others. From analyzing fault-inducing commit messages, we also extracted activities that are more likely to introduce bugs in smelly files. We believe that our findings are important for practitioners as it can help them prioritize design smells during the maintenance of multi-language systems.

scholarly journals The Impact of Working Capital Management on Firm Profitability: Empirical Evidence from the Polish Listed Firms

2020 ◽  
Vol 14 (1) ◽  
pp. 9
Author(s):  
Sorin Anton ◽  
Anca Afloarei Nucu
Keyword(s):  
Empirical Evidence ◽  
Ordinary Least Squares ◽  
Optimum Level ◽  
Capital Management ◽  
Working Capital ◽  
Working Capital Management ◽  
Listed Firms ◽  
Firm Profitability ◽  
Break Even Point ◽  
The Impact

The purpose of this study is to investigate the relationship between working capital and firm profitability for a sample of 719 Polish listed firms over the period of 2007–2016. The scarcity of empirical evidence for emerging economies and the importance of working capital efficiency motivate the research on the working capital–financial performance relationship. The paper adopts a quantitative approach using different panel data techniques (ordinary least squares, fixed effects, and panel-corrected standard errors models). The empirical results report an inverted U-shape relationship between working capital level and firm profitability, meaning that working capital has a positive effect on the profitability of Polish firms to a break-even point (optimum level). After the break-even point, working capital starts to negatively affect firm profitability. The study brings theoretical and practical contributions. It extends and complements the literature on the field by highlighting new evidence on the non-linear interrelation between working capital management (WCM) and corporate performance in Poland. From the practitioners’ perspective, the results highlight the importance of WCM for firm profitability.

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