Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Policy Research Working Paper 10910 Using Poverty Lines to Measure Refugee Self-Reliance Johannes Hoogeveen Robert Hopper Public Disclosure Authorized Poverty and Equity Global Practice September 2024 Policy Research Working Paper 10910 Abstract Humanitarian models of refugee assistance increasingly promote refugee self-reliance without offering a clear understanding of what constitutes self-reliance, or how to measure it ...

M Update Global Macro Commentary | Global September 16, 2024 10:37 PM GMT September 16 Soft China activity data; BoC's Macklem does not "want to see more slack" in the Canadian economy; USTs rally amid uncertainty over size of Fed cut; ECB's Lane favors gradual easing; GBP and AUD outperform; RRP below $250bn; DXY at 100.67 (-0.4%); US 10y at 3.18% (-3.4bp). • USD/CNH weakens 0.1% despite soft August China activity data with larger-than-expected declines in industrial production, retail sales, and fixed ass ...

FROST & SPC TIPS TOR TESS TOBET CO V A N | --- | --- | --- | |-----------------------------------------------|-------|-------| | | | | | Copyright | | | | ©2024Frost & Sullivan | | | | | | | | ©Dongguan Everon Healthcare Co., Ltd. | | | Recombinant Type III Triple-Helix Collagen Whitepaper | 2024 ◼ Introduction Collagen is an essential structural element of the extracellular matrix, found in all tissues and organs.It does not only provide strength, durability, and elasticity to tissues but also plays a vita ...

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Künstliche Intelligenz in B2B Von Disruption bis Effizienz: B2B-KI-Start-ups in der DACH-Region Ökosystem, Potenziale und Herausforderungen September 2024 Von Disruption bis Effizienz: B2B-KI-Startups in der DACH-Region Ökosystem, Potenziale und Herausforderungen Von Niko Mohr, Matthias Roggendorf, Holger Hürtgen, Livia Boerner, Florian Leski und Johannes Roscher Zusammenfassung Drei von vier Unternehmen im deutschsprachigen Raum planen, ihre Investitionen in künstliche Intelligenz (KI) in den nächsten drei ...

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - Executives are less optimistic about current economic conditions compared to earlier in the year, but there is cautious optimism for the upcoming months [2][3] - Geopolitical instability is viewed as the primary risk to both global and domestic growth, with political transitions also being a significant concern [4][9] - Expectations for company performance remain stable, with about half of respondents anticipating an increase in customer demand and 58% expecting profits to rise [19] Economic Conditions Overview - For the first time since March 2020, a majority of executives perceive the global economy as stable rather than improving, with a notable increase in those reporting no change in conditions [3][5] - The share of respondents expecting improvement in the global economy over the next six months is 42%, while 47% expect improvement in their own countries' economies [8] - Concerns about inflation have shifted, with it now being the fifth most-cited global risk, while it remains a primary concern in developing markets [12] Risks to Growth - Geopolitical instability and political transitions are the top cited risks for both global and domestic growth, with 65% of respondents identifying geopolitical instability as a major concern [11][15] - Rising inequality and extreme weather events are increasingly recognized as long-term risks, particularly in Asia-Pacific and India [15][17] Company Performance and Workforce Expectations - Private sector respondents show muted expectations for workforce growth, with an equal likelihood of expecting an increase or decrease in workforce size [19][20] - Industries such as consumer goods, retail, and healthcare are more likely to anticipate a decrease in headcount compared to previous quarters [19]

Public Disclosure Authorized Cooler Finance Mobilizing Investment for the Developing World's Sustainable Cooling Needs Public Disclosure Authorized SEPTEMBER 2024 Public Disclosure Authorized Public Disclosure Authorized Report ce Corporation COOLER FINANCE Page 1 The designations employed and the presentation of material in this Work do not imply the expression of any opinion whatsoever on the part of the United Nations Environment Programme (UNEP) or International Finance Cooperation (IFC) concerning the ...

Policy Research Working Paper 10930 Public Disclosure Authorized Public Disclosure Authorized Disaggregated Impacts of Growth on Multidimensional Poverty Does the Source of Growth Matter? Francis Mulangu Mokhtar Benlamine Michael Keller Jean-Pascal Nganou Poverty and Equity Global Practice September 2024 Public Disclosure Authorized Public Disclosure Authorized Policy Research Working Paper 10930 Abstract This paper presents comprehensive findings on the relationship between economic growth and poverty. Usi ...

Industry Research Summary Industry Investment Rating - The report does not provide a specific investment rating for the industry [1][2] Core Findings - Post-double selection Lasso (PDS Lasso) reduces standard errors by less than 1% compared to standard Ancova on average [2] - PDS Lasso does not select variables to model treatment in over half the cases [2] - The method typically selects very few control variables, with a median of 3 controls [9] - In over a quarter of cases, standard errors are slightly larger than with Ancova [9] Methodology and Application - PDS Lasso is commonly used in field experiments with small sample sizes (100-1,000 observations) [7] - The method is particularly relevant for developing countries where survey data often has an average attrition rate of 15% [8] - Researchers typically input a median of 182 controls, but PDS Lasso selects a median of only 3 controls [9] - The treatment regression step is more likely to select control variables when there is attrition [10] Performance Analysis - PDS Lasso leads to minimal changes in treatment estimates, with a median change of 0.01 standard deviations [9] - The median standard error with PDS Lasso is 99.2% of that with Ancova [9] - Cross-validation for selecting the penalty parameter can overfit and result in larger standard errors [11] - PDS Lasso sometimes ends up being less precise than Ancova due to failure to select key variables like the lagged dependent variable [10] Practical Recommendations - Researchers should include the lagged dependent variable in the amelioration set to prevent underfitting [54] - The number of control variables inputted should be judicious, avoiding a "kitchen sink" approach [59] - Missing values in control variables should be carefully handled to avoid sample size reduction [61] - When including treatment interactions, the interacting variable should be included in the amelioration set [75] Limitations and Considerations - PDS Lasso provides minimal power gains on average compared to Ancova [48] - The method is most beneficial when there is differential attrition greater than 5% [50] - Researchers should not anticipate large improvements in power from using PDS Lasso [76] - The double-selection step may not be necessary in many cases, as it often selects variables not strongly correlated with the outcome [69]

Public Disclosure Authorized Sierra Leone Circular Economy in Plastics for Sustainable Tourism and Economic Diversification Public Disclosure Authorized Public Disclosure Authorized SINGLE-USE PLASTIC REDUCTION GUIDELINES FOR HOTELS AND RESTAURANTS Public Disclosure Authorized ii © 2024 International Bank for Reconstruction and Development / The World Bank 1818 H Street NW Washington DC 20433 Telephone: 202-473-1000 Internet: www.worldbank.org This work is a product of the staff of The World Bank with exter ...