This paper aims to identify and discuss the integration of anticipatory practices in the macroeconomic governance regime, an emerging yet crucial dimension in the field. It examines the contextual differences shaping ...
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This paper aims to identify and discuss the integration of anticipatory practices in the macroeconomic governance regime, an emerging yet crucial dimension in the field. It examines the contextual differences shaping these practices at the intersections of society, innovation, policy, and governance, focusing on the interrelationship between institutions, cultures, and national contexts. The study also investigates the multi-dimensional relationships between anticipatory practices and various economic dynamics, addressing a significant gap in the literature. It explores how these practices manifest in different settings, analyzing the challenges and opportunities in adapting them to diverse contexts. The paper analyzes the connections between micro, meso, and macroeconomic spheres, and examines the institutionalization and temporal dynamics of anticipatory practices. It also delves into the cultures of anticipation within macroeconomics, analyzing their influence on decision-making processes and the visibility of different voices. By offering a comprehensive exploration of anticipatory practices in macroeconomic governance, this interdisciplinary study provides valuable insights for practitioners, policymakers, and scholars, contributing to a holistic understanding of the roles and challenges at the intersection of innovation, policy, and society within macroeconomic contexts.
We use a relatively large annual (unbalanced) cross-country panel data set that includes the Gini index and the estimated household income inequality as the two relevant inequality metrics and covers the period from 1...
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We use a relatively large annual (unbalanced) cross-country panel data set that includes the Gini index and the estimated household income inequality as the two relevant inequality metrics and covers the period from 1950 to 2018 for 159 countries, and we investigate the response of two inequality metrics to International Monetary Fund (IMF) standby programs. Our empirical analysis indicates that in countries where the informal sector size (as % GDP) is relatively larger, the extent of income inequality increases after IMF standby agreements. We also show that the opposite is true when the informal sector size is small, that is, inequality declines after these IMF programs.
This paper introduces an extensive database of governments’ economic policy measures adopted in response to the COVID-19 pandemic and examines the outcomes of these measures. Using this novel dataset, five key observ...
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AIM：To report on intraocular pressure（IOP）after intravitreal injections of triamcinolone acetonide.·M ETHODS：Systematic literature review of studies that investigated the effects of an injection of triamcinol...
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AIM：To report on intraocular pressure（IOP）after intravitreal injections of triamcinolone acetonide.·M ETHODS：Systematic literature review of studies that investigated the effects of an injection of triamcinolone Intravitreal triamcinolone acetonide on IOP was conducted according to the Cochrane Collaboration methodology and the reported effects have been analyzed with Meta-analysis.·RESULTS：We found that the IOP follows an inverted-U shape pattern over time starting with an average value of14.81±1.22 mm Hg before the injection,rising to a maximum of 19.48±2.15 mm Hg after one month of injection and falling down to 16.16±1.92 mm Hg ***,country of study,age,previous history of glaucoma and gender compositions matter for crossstudy were different in reported IOP changes.·CONCLUSION：Our findings may be helpful in determining pressure elevation risk of intravitreal triamcinolone acetonide therapy as well as comparing it with those of more recent therapies such as the antivascular endothelial growth factor agents.
BackgroundArtificial intelligence-driven Clinical Decision Support Systems (AI-CDSS) are increasingly being integrated into healthcare for various purposes, including resource allocation. While these systems promise i...
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BackgroundArtificial intelligence-driven Clinical Decision Support Systems (AI-CDSS) are increasingly being integrated into healthcare for various purposes, including resource allocation. While these systems promise improved efficiency and decision-making, they also raise significant ethical concerns. This study aims to explore healthcare professionals' perspectives on the ethical implications of using AI-CDSS for healthcare resource *** conducted semi-structured qualitative interviews with 23 healthcare professionals, including physicians, nurses, administrators, and medical ethicists in Turkey. Interviews focused on participants' views regarding the use of AI-CDSS in resource allocation, potential ethical challenges, and recommendations for responsible implementation. Data were analyzed using thematic *** responses are clustered around five pre-determined thematic areas: (1) balancing efficiency and equity in resource allocation, (2) the importance of transparency and explicability in AI-CDSS, (3) shifting roles and responsibilities in clinical decision-making, (4) ethical considerations in data usage and algorithm development, and (5) balancing cost-effectiveness and patient-centered care. Participants acknowledged the potential of AI-CDSS to optimize resource allocation but expressed concerns about exacerbating healthcare disparities, the need for interpretable AI models, changing professional roles, data privacy, and maintaining individualized *** integration of AI-CDSS into healthcare resource allocation presents both opportunities and significant ethical challenges. Our findings underscore the need for robust ethical frameworks, enhanced AI literacy among healthcare professionals, interdisciplinary collaboration, and rigorous monitoring and evaluation processes. Addressing these challenges proactively is crucial for harnessing the potential of AI-CDSS while preserving the fundamental values of equity, t
In this article, using both cross-country data including 73 countries, as well as a novel data from a firm level survey covering 1000 firms in Turkey, I investigate the relationship between informality and corporate s...
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In this article, using both cross-country data including 73 countries, as well as a novel data from a firm level survey covering 1000 firms in Turkey, I investigate the relationship between informality and corporate social responsibility (CSR). Using the firm-level data, I ask whether corporate social responsibility scores (CSR) and its relationship with firm's expected performance and profitability are different for firms mainly operating in the formal and informal sector. Cross-country data reveals a significant negative correlation between CSR and informal sector size. On the other hand, using the firm-level data, I find that firms that tend to engage in informal economic activities have significantly lower CSR scores. Moreover, CSR scores and firms' expected performance are generally positively correlated and this correlation is much less (and even not significantly different from zero in some cases) for informal firms. I also find some evidence that the main reason behind these results might be that firms mainly operating in the informal sector are spending significantly less to R&D and advertising as the relationship between these variables and the firm's performance and profitability is less pronounced for these firms.
This paper examines the shifting landscape of higher education in Turkey, highlighting a disconcerting trend of politically motivated appointments, coined as “parasailing.” Departing from traditional merit-based nor...
In this paper, I use a calibrated two-sector dynamic general equilibrium model to construct annual estimates of shadow economy size (as a percentage of GDP) for 57 metropolitan areas from 31 countries throughout the w...
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In this paper, I use a calibrated two-sector dynamic general equilibrium model to construct annual estimates of shadow economy size (as a percentage of GDP) for 57 metropolitan areas from 31 countries throughout the world from 2001 to 2016. In addition to fully describing and characterizing the constructed dataset, I also provide some stylized facts regarding the trends of these estimates and some of their correlates. I also use the model to evaluate the effects of two policy tools: Changing the tax burden and tax enforcement.
This study explores the evolution and predictors of the homicide rate in 81 Turkish provinces from 1997 to 2015. Using regression analysis, it is demonstrated that several socio-economic factors are significantly asso...
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This study explores the evolution and predictors of the homicide rate in 81 Turkish provinces from 1997 to 2015. Using regression analysis, it is demonstrated that several socio-economic factors are significantly associated with the level of the homicide rate. Moreover, the effects of the socio-economic factors change when the breakdown of the homicide rate with respect to two key demographic factors, age and gender, are also incorporated into the analysis.
Foreign direct investment (FDI) is generally associated with technology transfer as well as the diffusion of technology and know-how in host countries. In this paper we first show that this is true only in countries w...
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Foreign direct investment (FDI) is generally associated with technology transfer as well as the diffusion of technology and know-how in host countries. In this paper we first show that this is true only in countries where the informal sector is relatively small. After establishing this empirical fact, we incorporate FDI, informality, and technology transfer into a multi-country dynamic general equilibrium model and estimate key model parameters using some cross-country micro- and macro-level evidence. We then use the calibrated model to quantify the quantitative impact of varying informal sector size on technology transfer through FDI.
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