Journal articles: 'Meta-policy'

1

Mann, C. "Can meta-analysis make policy?" Science 266, no. 5187 (November 11, 1994): 960–62. http://dx.doi.org/10.1126/science.7973676.

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Polyrakis, A., and R. Boutaba. "The meta-policy information base." IEEE Network 16, no. 2 (2002): 40–48. http://dx.doi.org/10.1109/65.993222.

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Gechert, Sebastian. "Reconsidering macroeconomic policy prescriptions with meta-analysis." Industrial and Corporate Change 31, no. 2 (March 1, 2022): 576–90. http://dx.doi.org/10.1093/icc/dtac005.

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Abstract This paper investigates recent developments in meta-analysis, the tool to quantitatively synthesize research in a certain body of literature. After providing a brief overview on how to do a meta-analysis and discussing recent methodological advancements, I review applied contributions to the field of macroeconomics. It turns out that meta-analyses have often questioned the conventional wisdom and established new consensuses in fiscal, monetary, and labor market policies by uncovering substantial publication bias and unexpected determining factors in many bodies of literature—in particular those dominated by policy conclusions in the neoclassical tradition like minimum wages, central bank strategies, financial regulation and the relative effects of tax and spending policies.

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Kiesler, Charles A. "Meta analysis, clinical psychology, and social policy." Clinical Psychology Review 5, no. 1 (January 1985): 3–12. http://dx.doi.org/10.1016/0272-7358(85)90026-1.

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Guo, Yijie, Qiucheng Wu, and Honglak Lee. "Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 6792–800. http://dx.doi.org/10.1609/aaai.v36i6.20635.

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Meta reinforcement learning (meta-RL) aims to learn a policy solving a set of training tasks simultaneously and quickly adapting to new tasks. It requires massive amounts of data drawn from training tasks to infer the common structure shared among tasks. Without heavy reward engineering, the sparse rewards in long-horizon tasks exacerbate the problem of sample efficiency in meta-RL. Another challenge in meta-RL is the discrepancy of difficulty level among tasks, which might cause one easy task dominating learning of the shared policy and thus preclude policy adaptation to new tasks. This work introduces a novel objective function to learn an action translator among training tasks. We theoretically verify that the value of the transferred policy with the action translator can be close to the value of the source policy and our objective function (approximately) upper bounds the value difference. We propose to combine the action translator with context-based meta-RL algorithms for better data collection and moreefficient exploration during meta-training. Our approach em-pirically improves the sample efficiency and performance ofmeta-RL algorithms on sparse-reward tasks.

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Peilouw, Christian Timotius, and Bintang Kusucahyo. "OWNERSHIP STRUCTURES AND DEBT POLICY (A META-ANALYSIS)." Jurnal Riset Akuntansi Aksioma 21, no. 2 (December 26, 2022): 81–90. http://dx.doi.org/10.29303/aksioma.v21i2.163.

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This study aims to understand the effect of ownership structure on debt policy, as well as to examine and analyze the variation of result study on debt policy in Indonesia. Agency Theory is the grand theory used to explain the effect of ownership structure on debt policy. This study used meta-analysis approach with sample is 31 researches in Indonesia, both the published and unpublished in 2006-2019. The result of this study, meta-analysis strengthen the findings of the previous study which stated that the ownership structure can decrease debt policy. The differences of the previous studies are due to the presence of moderation effect from the measurement model of debt policy and ownership structure.

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Park, Daekwon, Beomcheol Shin, and Seung-Ho Lee. "Qualitative Meta-synthesis on the Free Semester Policy." Korea Society Of The Politics Of Education 26, no. 1 (March 31, 2019): 133–59. http://dx.doi.org/10.52183/kspe.2019.26.1.133.

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Swiontkowski, Marc. "Meta-Analyses and Systematic Reviews: JBJS Policy Revisited." Journal of Bone and Joint Surgery 103, no. 10 (May 17, 2021): 849. http://dx.doi.org/10.2106/jbjs.21.00233.

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Baskerville, Richard, and Mikko Siponen. "An information security meta‐policy for emergent organizations." Logistics Information Management 15, no. 5/6 (December 2002): 337–46. http://dx.doi.org/10.1108/09576050210447019.

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Card, David, Jochen Kluve, and Andrea Weber. "Active Labour Market Policy Evaluations: A Meta‐Analysis." Economic Journal 120, no. 548 (October 19, 2010): F452—F477. http://dx.doi.org/10.1111/j.1468-0297.2010.02387.x.

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Pigott, Terri D., and Joshua R. Polanin. "Methodological Guidance Paper: High-Quality Meta-Analysis in a Systematic Review." Review of Educational Research 90, no. 1 (September 25, 2019): 24–46. http://dx.doi.org/10.3102/0034654319877153.

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This methodological guidance article discusses the elements of a high-quality meta-analysis that is conducted within the context of a systematic review. Meta-analysis, a set of statistical techniques for synthesizing the results of multiple studies, is used when the guiding research question focuses on a quantitative summary of study results. In this guidance article, we discuss the systematic review methods that support high-quality meta-analyses and outline best practice meta-analysis methods for describing the distribution of effect sizes in a set of eligible studies. We also provide suggestions for transparently reporting the methods and results of meta-analyses to influence practice and policy. Given the increasing use of meta-analysis for important policy decisions, the methods and results of meta-analysis should be both transparent and reproducible.

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Trondal, Jarle. "An organisational approach to meta-governance: structuring reforms through organisational (re-)engineering." Policy & Politics 50, no. 2 (April 1, 2022): 139–59. http://dx.doi.org/10.1332/030557321x16336164441825.

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This article outlines an organisation theory approach to meta-governance by illustrating how public organisations may organise policy change and reform by (re-)designing organisational choice-architectures. First, it outlines an organisational approach to meta-governance and, second, it offers an illustrative case of meta-governance by examining how public innovation processes are shaped by organisational designs. Two arguments are proposed: (i) first, that public meta-governance is an accessible tool for facilitating policy change, and (ii) second, that meta-governance may be systematically biased by organisational structuring. Examining conditions for meta-governance is important since governments experience frequent criticism of existing inefficient organisational arrangements and calls for major reforms of the state. The contribution of this article is to suggest how an organisational approach to meta-governance might both explain meta-governance and make it practically relevant for solving societal challenges in the future.

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Sager, Fritz. "Policy coordination in the European metropolis: A meta-analysis." West European Politics 29, no. 3 (May 2006): 433–60. http://dx.doi.org/10.1080/01402380600619744.

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Lewis, Steff. "Book Review: Meta-analysis in medicine and health policy." Statistical Methods in Medical Research 11, no. 5 (October 2002): 449–50. http://dx.doi.org/10.1177/096228020201100509.

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Baaijens, Sef, and Peter Nijkamp. "Meta-Analytic Methods for Comparative and Exploratory Policy Research." Journal of Policy Modeling 22, no. 7 (December 2000): 821–58. http://dx.doi.org/10.1016/s0161-8938(98)00022-2.

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Conn, Vicki S., and Jane M. Armer. "Meta-analysis and public policy: Opportunity for nursing impact." Nursing Outlook 60, no. 5 (September 2012): 297–302. http://dx.doi.org/10.1016/j.outlook.2012.06.016.

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Yeganeh, Armin Jeddi, Andrew P. McCoy, and Todd Schenk. "Determinants of climate change policy adoption: A meta-analysis." Urban Climate 31 (March 2020): 100547. http://dx.doi.org/10.1016/j.uclim.2019.100547.

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BUTTON, KENNETH, and PETER NIJKAMP. "Environmental Policy Assessment and the Usefulness of Meta-analysis." Socio-Economic Planning Sciences 31, no. 3 (September 1997): 231–40. http://dx.doi.org/10.1016/s0038-0121(96)00034-1.

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Conn, Vicki S., and Jane M. Armer. "Meta-analysis and public policy: Opportunity for nursing impact." Nursing Outlook 44, no. 6 (November 1996): 267–71. http://dx.doi.org/10.1016/s0029-6554(96)80082-0.

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20

Castellani, Tommaso, Adriana Valente, Liliana Cori, and Fabrizio Bianchi. "Detecting the use of evidence in a meta-policy." Evidence & Policy: A Journal of Research, Debate and Practice 12, no. 1 (January 25, 2016): 91–107. http://dx.doi.org/10.1332/174426415x14430152798949.

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Li, Bo, Zhigang Gan, Daqing Chen, and Dyachenko Sergey Aleksandrovich. "UAV Maneuvering Target Tracking in Uncertain Environments Based on Deep Reinforcement Learning and Meta-Learning." Remote Sensing 12, no. 22 (November 18, 2020): 3789. http://dx.doi.org/10.3390/rs12223789.

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This paper combines deep reinforcement learning (DRL) with meta-learning and proposes a novel approach, named meta twin delayed deep deterministic policy gradient (Meta-TD3), to realize the control of unmanned aerial vehicle (UAV), allowing a UAV to quickly track a target in an environment where the motion of a target is uncertain. This approach can be applied to a variety of scenarios, such as wildlife protection, emergency aid, and remote sensing. We consider a multi-task experience replay buffer to provide data for the multi-task learning of the DRL algorithm, and we combine meta-learning to develop a multi-task reinforcement learning update method to ensure the generalization capability of reinforcement learning. Compared with the state-of-the-art algorithms, namely the deep deterministic policy gradient (DDPG) and twin delayed deep deterministic policy gradient (TD3), experimental results show that the Meta-TD3 algorithm has achieved a great improvement in terms of both convergence value and convergence rate. In a UAV target tracking problem, Meta-TD3 only requires a few steps to train to enable a UAV to adapt quickly to a new target movement mode more and maintain a better tracking effectiveness.

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Kim, Sung won. "Meta-Analysis of Parental Involvement and Achievement in East Asian Countries." Education and Urban Society 52, no. 2 (April 11, 2019): 312–37. http://dx.doi.org/10.1177/0013124519842654.

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Countless meta-analytic studies document the relation between parental involvement and achievement, but they mostly include studies conducted in the United States where parental involvement is framed as a policy issue. This is the first meta-analytic study focusing on East Asian countries characterized by high achievement levels, a comparatively standardized education system, and no policy encouraging family–school relations. A meta-analysis of 15 studies retrieved from an exhaustive search of the literature reveals a positive association between parental involvement and achievement. The strength of the relation was highest for academic socialization, followed by home involvement and school involvement, similar to previous meta-analyses.

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23

Hakikat. "Meta Analysis of Dividend Policy Affect on Share Price Volatility." Asian Journal of Research in Banking and Finance 7, no. 5 (2017): 242. http://dx.doi.org/10.5958/2249-7323.2017.00044.x.

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Allen, Lindsay H. "Micronutrient Research, Programs, and Policy: From Meta-analyses to Metabolomics." Advances in Nutrition 5, no. 3 (May 1, 2014): 344S—351S. http://dx.doi.org/10.3945/an.113.005421.

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25

Sørensen, Eva, and Karl Löfgren. "How Do We Meta-Govern Policy Networks in E-Government?" International Journal of Electronic Government Research 5, no. 4 (October 2009): 43–56. http://dx.doi.org/10.4018/jegr.2009070204.

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Since the late 1990s, an explicit goal of most industrialized states has been to integrate electronic access to government information and service delivery, examples being ‘the 24/7 agency’ or ‘Joined-up governance’. This aim, which goes beyond the establishment of ‘single’ governmental websites, calls for both horizontal, as well as vertical integration of otherwise separate public agencies and authorities who are supposed to collaborate towards ‘joint’ and ‘needs-based’ electronic solutions to the benefit of citizens. While many authors have described this implementation of a policy aim in purely technical interoperability terms, we frame this development as a policy process of metagoverning self-regulating networks. This article is primarily a theoretical think piece in which we will present a systematic framework for the analysis of meta-governing the policy process of electronic government. In addition to the value of framing the process as a metagovernance process, we wish to discuss how the metagovernance approach also sheds light on whether or not the on-going process of vertical and horizontal integration leads to centralization. Our arguments will be supported by empirical illustrations mainly adopted from Scandinavian research.

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Sorrentino, Matthew J. "Lowering blood total cholesterol: a meta-analysis and policy statement." ACP Journal Club 119, no. 1 (July 1, 1993): 4. http://dx.doi.org/10.7326/acpjc-1993-119-1-004.

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27

Martocchio, Joseph J., and Ellen M. Whitener. "Fairness in Personnel Selection: A Meta-Analysis and Policy Implications." Human Relations 45, no. 5 (May 1992): 489–506. http://dx.doi.org/10.1177/001872679204500504.

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28

Gechert, Sebastian. "What fiscal policy is most effective? A meta-regression analysis." Oxford Economic Papers 67, no. 3 (March 31, 2015): 553–80. http://dx.doi.org/10.1093/oep/gpv027.

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Heinemann, Friedrich, Marc-Daniel Moessinger, and Mustafa Yeter. "Do fiscal rules constrain fiscal policy? A meta-regression-analysis." European Journal of Political Economy 51 (January 2018): 69–92. http://dx.doi.org/10.1016/j.ejpoleco.2017.03.008.

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30

Jarman, Alan, and Alexander Kouzmin. "Disaster management as contingent meta-policy analysis: Water resource planning." Technological Forecasting and Social Change 45, no. 2 (February 1994): 119–30. http://dx.doi.org/10.1016/0040-1625(94)90089-2.

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L'Hommedieu, Randi, Robert J. Menges, and Kathleen T. Brinko. "Validity issues in Meta‐Analysis: Suggestions for Research and Policy." Higher Education Research & Development 7, no. 2 (January 1988): 119–30. http://dx.doi.org/10.1080/0729436880070203.

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Ahmed, Ibrahim, Marcos Quiñones-Grueiro, and Gautam Biswas. "Complementary Meta-Reinforcement Learning for Fault-Adaptive Control." Annual Conference of the PHM Society 12, no. 1 (November 3, 2020): 8. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1289.

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Faults are endemic to all systems. Adaptive fault-tolerant control accepts degraded performance under faults in exchange for continued operation. In systems with abrupt faults and strict time constraints, it is imperative for control to adapt fast to system changes. We present a meta-reinforcement learning approach that quickly adapts control policy. The approach builds upon model-agnostic meta learning (MAML). The controller maintains a complement of prior policies learned under system faults. This ``library" is evaluated on a system after a new fault to initialize the new policy. This contrasts with MAML where the controller samples new policies from a distribution of similar systems at each update step to achieve the new policy. Our approach improves sample efficiency of the reinforcement learning process. We evaluate this on a model of fuel tanks under abrupt faults.

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Horner, Nathaniel, Antonio Geraldo de Paula Oliveira, Richard Silberglitt, Marcelo Khaled Poppe, and Bárbara Bressan Rocha. "Energy foresight, scenarios and sustainable energy policy in Brazil." foresight 18, no. 5 (September 12, 2016): 535–50. http://dx.doi.org/10.1108/fs-06-2015-0035.

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Purpose This paper aims to use quantitative metrics to chart the unique history leading to Brazil’s leadership in renewable energy and identifies a set of meta-scenarios that define possible future carbon performance. These meta-scenarios provide a context for discussing specific energy policy implications both at the national scale and from the perspective of Brazil’s urban centres. Design/methodology/approach The paper defines and uses three metrics – energy efficiency, decarbonisation and carbon efficiency – to plot both Brazil’s historic energy pathway and a set of future energy scenarios put forth by various national and international energy agencies. The authors then use a meta-scenario approach to group these alternate pathways, identifying specific policy levers associated with the realisation of each. Findings The authors identify plausible policy changes that will help move Brazil off a current trajectory of stagnated energy performance to a “greener” scenario in which carbon efficiency improves even as Brazil’s economic growth continues. Such policies include energy efficiency programmes and continued expansion of the country’s already extensive hydropower and biomass capacity. Adoption of policies that would put Brazil on a more aggressive path towards a global sustainability scenario currently seems impractical. Originality/value This paper brings a standardized set of metrics to bear on Brazil’s unique energy history, which in turn helps identify specific policy impacts for continued GHG reduction in Brazil’s future from national and urban perspectives.

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Carroll, Christopher, and Andy Tattersall. "OP96 Assessing Impact Of UK Health Technology Assessment Programme Trials." International Journal of Technology Assessment in Health Care 35, S1 (2019): 24. http://dx.doi.org/10.1017/s0266462319001466.

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IntroductionCitation analysis is a standard tool for measuring the impact and influence of scientific work. One purpose behind controlled trials is to answer clinical and policy questions and to contribute directly or indirectly (contributing to systematic review and meta-analyses) to the production of practice guidance. The citation of trials within systematic reviews and policy or guidance documents therefore represents an authentic and meaningful measure of impact.MethodsAll 136 randomized controlled trials published by the United Kingdom (UK) Health Technology Assessment (HTA) programme in a 10-year period (2006-2015) were identified. Web of Science citation index was used to collect citation data relating to each trial. Altmetrics were used to identify additional policy and guidance documents. Citation data were collected and tabulated, and descriptive statistics produced. Additional data were collected for principal ‘spin-off’ publications.ResultsEighty-eight percent of trials were cited by at least one Cochrane or non-Cochrane systematic review or meta-analysis; 37 percent by at least one Cochrane review (90 Cochrane reviews in total); 85 percent by at least one non-Cochrane systematic review or meta-analysis (365 in total). Forty-four percent of trials were cited by at least one unique piece of published policy or guidance. Mean number of review citations per published trial: 25.30; mean number of systematic reviews/meta-analyses per trial: 3.34; mean number of guidance documents per trial: 0.85. Trial investigators published the primary clinical outcome data in 27 additional peer-reviewed journal articles, generating citations in a further 66 unique reviews and 22 unique guidance documents.ConclusionsBased on the payback model, this sample of 136 UK HTA trials represent meaningful impact: 88 percent of trials were cited in systematic reviews and 44 percent in guidance documents. Chronological data indicate that there might be a sizeable time-lag between publication and impact, especially for policy documents and Cochrane reviews.

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Kim, Chowon, and Hyunjoo Chang. "A Study on Policy Change Path and Policy-Oriented Learning in Advocacy Coalition Framework: A Meta-analysis of Korean Policy Cases." Korean Association of Governance Studies 31, no. 4 (December 31, 2021): 51–79. http://dx.doi.org/10.26847/mspa.2021.31.4.51.

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Kim Dong-Seok. "Meta Analysis on the Policy of Entrance Examination in Higher Education." Journal of Educational Innovation Research 28, no. 1 (March 2018): 469–92. http://dx.doi.org/10.21024/pnuedi.28.1.201803.469.

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Negassi, Syoum, and Jean-François Sattin. "Evaluation of Public R&D Policy: A Meta-Regression Analysis." Technology and Investment 10, no. 01 (2019): 1–29. http://dx.doi.org/10.4236/ti.2019.101001.

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Pilarski, Sebastian, Slawomir Pilarski, and Daniel Varro. "Delayed Reward Bernoulli Bandits: Optimal Policy and Predictive Meta-Algorithm PARDI." IEEE Transactions on Artificial Intelligence 3, no. 2 (April 2022): 152–63. http://dx.doi.org/10.1109/tai.2021.3117743.

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Salahudin, Salahudin, María Dolores Guillamón, Herpita Wahyuni, Achmad Nurmandi, and Isnaini Muallidin. "Social Media Use for Public Policy Making Cycle A Meta-Analysis." Electronic Government, an International Journal 1, no. 1 (2023): 1. http://dx.doi.org/10.1504/eg.2023.10044828.

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Camilli, Gregory, Paula M. Wolfe, and Mary Lee Smith. "Meta‐Analysis and Reading Policy: Perspectives on Teaching Children to Read." Elementary School Journal 107, no. 1 (September 2006): 27–36. http://dx.doi.org/10.1086/509525.

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Bonfils, Inge Storgaard. "Disability meta-organizations and policy-making under new forms of governance." Scandinavian Journal of Disability Research 13, no. 1 (March 2011): 37–51. http://dx.doi.org/10.1080/15017419.2010.481565.

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Ward, Debbie, and David Vlahov. "Commentary on: Meta-analysis and public policy: Opportunity for nursing impact." Nursing Outlook 60, no. 5 (September 2012): 302–4. http://dx.doi.org/10.1016/j.outlook.2012.07.007.

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Bache, Ian, Louise Reardon, Ian Bartle, Greg Marsden, and Matthew Flinders. "Symbolic Meta-Policy: (Not) Tackling Climate Change in the Transport Sector." Political Studies 63, no. 4 (March 20, 2014): 830–51. http://dx.doi.org/10.1111/1467-9248.12123.

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Papadamou, Stephanos, Νikolaos A. Kyriazis, and Panayiotis G. Tzeremes. "Unconventional monetary policy effects on output and inflation: A meta-analysis." International Review of Financial Analysis 61 (January 2019): 295–305. http://dx.doi.org/10.1016/j.irfa.2018.11.015.

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Franke, George R. "Applications of Meta-Analysis for Marketing and Public Policy: A Review." Journal of Public Policy & Marketing 20, no. 2 (September 2001): 186–200. http://dx.doi.org/10.1509/jppm.20.2.186.17373.

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Hupe, Peter L. "Implementing a Meta-Policy: the case of decentralisation in the Netherlands." Policy & Politics 18, no. 3 (July 1, 1990): 181–92. http://dx.doi.org/10.1332/030557390782454468.

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Dutterer, Andrew D., and Richard D. Margerum. "The Limitations of Policy-Level Collaboration: A Meta-Analysis of CALFED." Society & Natural Resources 28, no. 1 (November 18, 2014): 21–37. http://dx.doi.org/10.1080/08941920.2014.945054.

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Zhang, Zhenyu, Hailong Sun, and Hongyu Zhang. "Developer recommendation for Topcoder through a meta-learning based policy model." Empirical Software Engineering 25, no. 1 (September 5, 2019): 859–89. http://dx.doi.org/10.1007/s10664-019-09755-0.

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Hampton, Greg. "Narrative Policy Analysis and the Use of the Meta-Narrative in Participatory Policy Development within Higher Education." Higher Education Policy 24, no. 3 (August 11, 2011): 347–58. http://dx.doi.org/10.1057/hep.2011.8.

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Melchior, Maria, Aurélie Nakamura, Camille Bolze, Félix Hausfater, Fabienne El Khoury, Murielle Mary-Krause, and Marine Azevedo Da Silva. "Does liberalisation of cannabis policy influence levels of use in adolescents and young adults? A systematic review and meta-analysis." BMJ Open 9, no. 7 (July 2019): e025880. http://dx.doi.org/10.1136/bmjopen-2018-025880.

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ObjectivesTo examine the effect of cannabis policy liberalisation (decriminalisation and legalisation) levels of use in adolescents and young adults.DesignSystematic review and meta-analysis.Inclusion criteriaIncluded studies were conducted among individuals younger than 25 years and quantitatively assessing consequences of cannabis policy change. We excluded articles: (A) exclusively based on participants older than 25 years; (B) only reporting changes in perceptions of cannabis use; (C) not including at least two measures of cannabis use; (D) not including quantitative data; and (E) reviews, letters, opinions and policy papers. PubMed, PsycINFO, Embase and Web of Science were searched through 1 March 2018.Data extraction and synthesisTwo independent readers reviewed the eligibility of titles and abstracts and read eligible articles, and four authors assessed the risk of bias (Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies). Extracted data were meta-analysed. The protocol was registered with PROSPERO.Results3438 records were identified via search terms and four via citation lists; 2312 were retained after removal of duplicates, 99 were assessed for eligibility and 41 were included in our systematic review. 13 articles examined cannabis decriminalisation, 20 examined legalisation for medical purposes and 8 examined legalisation for recreational purposes. Findings regarding the consequences of cannabis decriminalisation or legalisation for medical purposes were too heterogeneous to be meta-analysed. Our systematic review and meta-analysis suggest a small increase in cannabis use among adolescents and young adults following legalisation of cannabis for recreational purposes (standardised mean difference of 0.03, 95% CI −0.01 to –0.07). Nevertheless, studies characterised by a very low/low risk of bias showed no evidence of changes in cannabis use following policy modifications.ConclusionsCannabis policy liberalisation does not appear to result in significant changes in youths’ use, with the possible exception of legalisation for recreational purposes that requires monitoring.Trial registration numberCRD42018083950.

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Journal articles on the topic 'Meta-policy'

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