Presentation by Douglas Sutherland at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Stephen Aldridge -Public sector efficiency in the UKOECD CFE
Presentation by Stephen Aldridge, Ministry of Housing, Communities and Local Government, UK at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Mauro Pisu - The effect of public sector efficiency on firm-level productivit...OECD CFE
Presentation by Mauro Pisu, OECD at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Guido de Blasio -Incentives to local public service provision: An evaluation ...OECD CFE
Presentation by Guido de Blasio, Bank of Italy at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Alessandra Faggian -The impact of external knowledge sourcing on innovation o...OECD CFE
Presentation by Alessandra Faggian, Gran Sasso Science Institute, L’Aquila, Italy at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Presentation by Clément Mazet-Sonilhac, Banque de France at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Claire Lelarge - What productivity impact to expect from high-speed rail infr...OECD CFE
Presentation by Claire Lelarge, RITM Université Paris-Sud, Paris, France at the OECD Workshop on Spatial Dimensions of Productivity, 28.28 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Alexandert Himbert - Trade facilitation and spatial patterns of economic acti...OECD CFE
Presentation by Alexandert Himbert, OECD at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Stephen Aldridge -Public sector efficiency in the UKOECD CFE
Presentation by Stephen Aldridge, Ministry of Housing, Communities and Local Government, UK at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Mauro Pisu - The effect of public sector efficiency on firm-level productivit...OECD CFE
Presentation by Mauro Pisu, OECD at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Guido de Blasio -Incentives to local public service provision: An evaluation ...OECD CFE
Presentation by Guido de Blasio, Bank of Italy at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Alessandra Faggian -The impact of external knowledge sourcing on innovation o...OECD CFE
Presentation by Alessandra Faggian, Gran Sasso Science Institute, L’Aquila, Italy at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Presentation by Clément Mazet-Sonilhac, Banque de France at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Claire Lelarge - What productivity impact to expect from high-speed rail infr...OECD CFE
Presentation by Claire Lelarge, RITM Université Paris-Sud, Paris, France at the OECD Workshop on Spatial Dimensions of Productivity, 28.28 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Alexandert Himbert - Trade facilitation and spatial patterns of economic acti...OECD CFE
Presentation by Alexandert Himbert, OECD at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Philip McCann - Cities, Regions & ProductivityOECD CFE
Presentation by Philip McCann, University of Sheffield, UK at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Alexander Lembcke - Roads, market access and regional economic development OECD CFE
Presentation by Alexander Lembcke, OECD at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Driving Productivity Growth: The Importance of Firm-Specific Knowledge AssetsStructuralpolicyanalysis
Rebecca Riley National Institute of Economic and Social Research & LLAKES, OECD Global Forum on Productivity UK Workshop, HM Treasury, London 14 October 2016
Senior Research Officer, Conor O'Toole; Research Professor, Kieran McQuinn; and Associate Research Professor, Adele Bergin presented an overview of the Quarterly Economic Commentary, Autumn 2020 to the media on Wednesday, 7 October 2020 ahead of the document's publication on Thursday, 8 October 2020..
Read the Quarterly Economic Commentary, Autumn 2020 on the ESRI website: https://www.esri.ie/publications/quarterly-economic-commentary-autumn-2020
A video of the presentation can be viewed here:
https://www.youtube.com/watch?v=tGfSllDvmvg
Marco Manzo and Alessandro Modica - Finance Dept. - Italy
Giancarlo Infantino - Treasury Dept. - Italy, OECD Global Forum on Productivity – October UK Workshop - London, 14 October 2016
Philip McCann - Cities, Regions & ProductivityOECD CFE
Presentation by Philip McCann, University of Sheffield, UK at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Alexander Lembcke - Roads, market access and regional economic development OECD CFE
Presentation by Alexander Lembcke, OECD at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
Driving Productivity Growth: The Importance of Firm-Specific Knowledge AssetsStructuralpolicyanalysis
Rebecca Riley National Institute of Economic and Social Research & LLAKES, OECD Global Forum on Productivity UK Workshop, HM Treasury, London 14 October 2016
Senior Research Officer, Conor O'Toole; Research Professor, Kieran McQuinn; and Associate Research Professor, Adele Bergin presented an overview of the Quarterly Economic Commentary, Autumn 2020 to the media on Wednesday, 7 October 2020 ahead of the document's publication on Thursday, 8 October 2020..
Read the Quarterly Economic Commentary, Autumn 2020 on the ESRI website: https://www.esri.ie/publications/quarterly-economic-commentary-autumn-2020
A video of the presentation can be viewed here:
https://www.youtube.com/watch?v=tGfSllDvmvg
Marco Manzo and Alessandro Modica - Finance Dept. - Italy
Giancarlo Infantino - Treasury Dept. - Italy, OECD Global Forum on Productivity – October UK Workshop - London, 14 October 2016
Saratoga County Manufacturing Economic Index 4.17.19JenniferKelley47
Takeaways from the Saratoga County Manufacturing Index include:
• Manufacturing is the fourth-largest private-sector employer in Saratoga County, representing 11 percent of total employment.
• The semiconductor industry (2,599 jobs) is the leading manufacturing employer, followed by chemicals (1,278), printing (890), paper (518) and fabricated metals (501)
• Nearly half of manufacturing jobs in Saratoga County – 3,678 – are directly supported by exports
• Statewide, the biggest exported NY products by percentage are miscellaneous manufactured commodities (39), followed by semiconductor (12), primary metals (9) and chemicals (9)
• Statewide, the leading foreign countries that receive exported NY products by percentage are Canada (14), Hong Kong (12), Israel (8), the United Kingdom (7) and Switzerland (7)
The Robot Revolution: Managerial and employment consequences for firms - Brya...OECD CFE
Presentation by Bryan Hong, Assistant Professor, University of Missouri-Kansas City, Henry W. Bloch School of Management, US at the 13th OECD Spatial Productivity Lab meeting held on 11 May 2021 in virtual format.
Skills gap: reality or myth?
The presumed mismatch between the skills of the workforce and the needs of employers, commonly referred to as the “skills gap,” has garnered the attention of politicians, employers, economic developers, and professionals in workforce and education. A number of authoritative sources—Manpower, Deloitte, McKinsey—point to statistics which show that, despite relatively high levels of unemployment, a number of jobs are going unfilled because employers can’t find candidates with the skills they want. This issue will be the subject of discussion led by TIP’s president and CEO, Tom Stellman, at the Texas Economic Development Council’s 2013 Legislative Conference this week. Get a preview of his slides here.
Several factors are contributing to this gap, including an aging workforce, an education system focused on 4-year degrees, the growing use of automation, and distortions caused by the labor demands of the energy sector. Yet some argue the current situation is less of a “skills” gap than a “wage” gap. Manufacturing wages have stagnated as the value of goods produced per worker has soared. This lackluster performance can make it even harder to attract young workers to manufacturing careers, particularly in a culture that often perceives the industry as a less–than-desirable option for its children.
Even if we could agree on its existence, the question of how best to fill it remains. Focusing on education is at the heart of many initiatives. Yet even if education is the answer, the challenges of timing the flow of workers with the needs of industry remains. Trying to predict which skills will be in demand can result in well-meaning training programs that produce a number of workers in a particular industry only to find that the economy has moved on and left these newly minted skills in the dust.
So, reality or myth? Maybe, like many of life’s questions, the answer is a little of both.
NOTE: The Geography of Jobs slide is a data visualization- go to http://tipstrategies.com/geography-of-jobs/ to see the animation
The Economy and Demography
Challenges and Opportunities for the oneNS Coalition Thomas Storring, NS Department of Finance and Treasury Board, 2014-09-16
U.S. employment rate data and trends: March 2014JLL
The U.S. economy added 192,000 jobs in March, a reversal from three months of slowing growth. Unemployment remained stable at 6.7 percent, but improved confidence increased the number of people looking for work. Total unemployment remains above historic norms at 12.7 percent, but 95 percent of jobs have been recovered since the recession. Positive signs include March growth being evenly distributed across industries and spreading more geographically. We expect continued positive momentum throughout 2014.
See details on the data, including demographic, geographic and industry breakdowns, in this report featuring research from the Bureau of Labor Statistics and JLL.
SmashFly Transform: Why Metrics & Measurement Are Key to Building an Employer...SmashFly Technologies
John Qudeen, VP of Global Recruiting at Thomson Reuters, blew everyone away at SmashFly Transform with the maturity of his team's recruitment marketing metrics. John walks through how he segments and analyzes key data to make better decisions about spending and employer branding.
Servizio Civile Universale - Serena SUSIGANOECD CFE
Presentazione di Serena Susigan, Direttrice, ENDO-FAP, Servizio Civile Universale Don Orione, Liguria, all'evento OCSE "Scegliere il Servizio Civile Universale: un dialogo sulle opportunità di impiego dei giovani in Italia", tenutosi a Trento il 6 febbraio 2024.
Maggiori informazioni: https://www.oecd.org/cfe/leed/oecd-ucs-6-feb.htm
Servizio Civile Universale - Federica DE LUCAOECD CFE
Presentazione di Federica De Luca, Ricercatrice all’Istituto Nazionale per l’Analisi delle Politiche Pubbliche (INAPP), Referente di progetto “Monitoraggio e Valutazione del Servizio Civile Universale”, all'evento OCSE "Scegliere il Servizio Civile Universale: un dialogo sulle opportunità di impiego dei giovani in Italia", tenutosi a Trento il 6 febbraio 2024.
Maggiori informazioni: https://www.oecd.org/cfe/leed/oecd-ucs-6-feb.htm
Servizio Civile Universale - Cristina PASCHETTAOECD CFE
Presentazione di Cristina Paschetta, Responsabile Progettazione, gestione bandi e volontari, accreditamento nuove sedi, Consorzio Monviso solidale, Piemonte, all'evento OCSE "Scegliere il Servizio Civile Universale: un dialogo sulle opportunità di impiego dei giovani in Italia", tenutosi a Trento il 6 febbraio 2024.
Maggiori informazioni: https://www.oecd.org/cfe/leed/oecd-ucs-6-feb.htm
FDI and Superstar Spillovers: Evidence from Firm-to-Firm Transactions - Amit...OECD CFE
FDI and Superstar Spillovers: Evidence from Firm-to-Firm Transactions
Mary AMITI (FED New York, United States)
Despite competition concerns over the increasing dominance of global corporations, many argue that productivity spillovers from multinationals to domestic firms justify pro-FDI policies. For the first time, we use firm-to-firm transaction data in a developed country to examine the impact of forming a new relationship with a multinational, and find a TFP increase of about 8% three or more years after the event. Sales to other buyers, trade and customer quality also increase. However, we also document that starting to supply other “superstar firms” such as those who heavily export or are very large also increases performance by similar amounts, even if the superstar is a non-multinational. Placebos on starting relationships with smaller firms and novel identification strategies relying solely on demand shocks to superstar firms support a causal interpretation. In addition to productivity spillovers, we document the transmission of “relationship capabilities” and “dating agency” effects as the increase in new buyers is particularly strong within the superstar firm’s existing network. These results suggest an important role for raising productivity through the supply chains of superstar firms regardless of their multinational status.
Find out more at https://oe.cd/spl-mtg
E-invoicing data for functional territories definition: the use case of pharm...OECD CFE
E-invoicing data for functional territories definition: the use case of pharmacies
Maria AURINDO (National Institute of Statistics, Portugal)
The presentation illustrates how a new Business-to-Consumer (B2C) database extracted from the Portuguese E-invoice system can be an important tool to explore the functional territories concept taking the pharmacies catchment areas as an example. The discussion addresses data integration methodological options and how Statistics Portugal infrastructural information domains – Business register, Building and fraction register and Population register – were crucial for this exercise, developed within the CE-SIG – Map of facilities and services project.
Find out more at https://oe.cd/spl-mtg
Mapping location and co-location of industries at the neighborhood level - A...OECD CFE
Mapping location and co-location of industries at the neighborhood level
Alessandro ALASIA, Dennis HUYNH (Statistics Canada)
In Canada, there is limited analysis on industry locations at the neighbourhood level; location and co-location of industries have been assessed primarily at the regional scale which results in an information gap for businesses. Recent evidence suggests that businesses do not just choose a city for their location, they choose specific business districts within a metropolitan area. Recent improvements in the geolocation of business microdata allow to address the information gap. This work, undertaken as part of the Business Data Lab and in collaboration with the Canadian Chamber of Commerce, is a first attempt to map industry locations at the neighbourhood level in major metropolitan areas of Canada. Using establishment-level microdata from the Business Register, we apply spatial kernel density estimations to identify neighbourhoods with high employment/revenue density for selected industries (2-digit NAICS) and industry clusters (grouping of 6-digits NAICS). The geographic delineation of business districts within metropolitan areas is the first step in understanding the evolution of industry location and co-location over time, and assessing local business dynamics at the neighbourhood level. Ultimately, these business districts can be analyzed in combination with additional data sources (e.g., mobility and road traffic) to derive further economic insights.
Find out more at https://oe.cd/spl-mtg
Advancing and democratizing business data in Canada- Patrick Gill & Stephen TappOECD CFE
Democratizing data through innovative data governance and visualizations
Patrick GILL, Stephen TAPP (Chambers of Commerce, Canada)
Small organizations in Canada struggle with accessing and leveraging data on business conditions and trends. These organizations have expressed difficulty in knowing what is available, accessing it and converting this information into actionable insights. To empower small organizations with more business-related information and insights, the Canadian Chamber of Commerce has built a suite of free tools that merge and visualize traditional statistics with powerful high-frequency data sets (e.g. payments and mobility). This work is enabled by innovate data governance (e.g. a data trust) and a collaborative partnership with Statistics Canada. The Canadian Chamber of Commerce is continuing work with Statistics Canada to release more local business information available through the agency’s Business Register (e.g. the mapping of local business districts), and is exploring how Generative AI can support small organizations’ navigation and understanding of the business information it has curated.
Find out more at https://oe.cd/spl-mtg
Firm-level production networks: evidence from Estonia - Louise GuillouetOECD CFE
The market microstructure of industrial ecosystems in the digital and green transitions: evidence from Estonia
Louise GUILLOUET (Science, Technology and Innovation Directorate, OECD)
Thanks to a unique combination of administrative and survey data matched to the Estonian VAT data, this project studies how information on transaction data can shed light on industrial policy making, through two different angles: 1/ Improving the understanding of the production network, industrial ecosystems and the relevant unit of analysis for industrial policy design and 2/ An application to the diffusion of the green and digital transitions, showing the role of production network in technology diffusion and how this can be leveraged to increase policy effectiveness.
Find out more at https://oe.cd/spl-mtg
Horizon 2020 - research networks across borders - Rupert KawkaOECD CFE
Involvement of rural regions in European research networks
Rupert KAWKA, Torsten SCHUNDER (Federal Office for Building and regional Planning, Germany)
This study investigates the distribution of the European Union's Horizon 2020 funding programme on rural and urban regions between 2014 and 2020 and the resulting urban-rural links. Leveraging the Horizon 2020-database covering the 2014-20 programming period, which encompasses data on approximately 35,000 funded projects involving nearly 180,000 partners, the paper explores the participation of rural firms and organisations in the broader European research framework. By integrating the urban-rural classification of NUTS 3 regions, the research addresses key questions concerning the involvement of rural regions in Horizon 2020 projects, the structural differences in projects with and without rural participation, and the dynamics of urban-rural collaboration in research. The study further aims to identify potential clusters of rural innovation hubs across Europe and assess spatial disparities.
Find out more at https://oe.cd/spl-mtg
How can the social and solidarity economy help refugees along their journey?OECD CFE
Forcibly displaced people fleeing violent conflict and other forms of persecution find support from the social and solidarity economy (SSE) along their pathways, from their country of origin to asylum protection. The numbers are growing and new OECD work sheds light on how the specific values and characteristics of SSE entities provide high-quality responses to refugee needs and facilitate integration in host communities.
The SSE can support access to rights, empowerment, social and labour market inclusion of refugees. Join this webinar with the UNHCR, SINGA and NESsT Poland to discover how the SSE plays a role in the steps along the way of refugee’s journey.
Data-driven regional productivity scorecards in the United Kingdom - Raquel O...OECD CFE
Presentation by Raquel Ortega-Argilés, Professor of Economics, Manchester University and Director of the Productivity Laboratory, The Productivity Institute, United Kingdom at the 21st OECD Spatial Productivity Lab meeting on "Rebooting regional productivity: from analysis to policy", held in virtual format on 18 October 2023.
This webinar focused on recent initiatives from the Basque Country in Spain, the United Kingdom, and Trentino in Italy, where the analysis of subnational economic data is used to compare productivity performance across regions, understand which economic and social factors drive regional productivity, and how regional productivity links to other economic and social outcomes.
More OECD information: https://oe.cd/SPL
Visit our website: www.oecd.org/cfe
Follow us on Twitter: @OECD_local
Competitiveness for Wellbeing - Basque Country - James Wilson.pdfOECD CFE
Presentation by James Wilson, Research Director, Orkestra, Basque Institute for Competitiveness, Spain at the 21st OECD Spatial Productivity Lab meeting on "Rebooting regional productivity: from analysis to policy", held in virtual format on 18 October 2023.
This webinar focused on recent initiatives from the Basque Country in Spain, the United Kingdom, and Trentino in Italy, where the analysis of subnational economic data is used to compare productivity performance across regions, understand which economic and social factors drive regional productivity, and how regional productivity links to other economic and social outcomes.
More OECD information: https://oe.cd/SPL
Visit our website: www.oecd.org/cfe
Follow us on Twitter: @OECD_local
The productivity board of the autonomous province of Trento - Carlo Menon.pdfOECD CFE
Presentation by Carlo Menon, Economist, Trento Centre for Local Development, CFE, OECD at the 21st OECD Spatial Productivity Lab meeting on "Rebooting regional productivity: from analysis to policy", held in virtual format on 18 October 2023.
This webinar focused on recent initiatives from the Basque Country in Spain, the United Kingdom, and Trentino in Italy, where the analysis of subnational economic data is used to compare productivity performance across regions, understand which economic and social factors drive regional productivity, and how regional productivity links to other economic and social outcomes.
More OECD information: https://oe.cd/SPL
Visit our website: www.oecd.org/cfe
Follow us on Twitter: @OECD_local
Rafforzare il partenariato e la cooperazione internazionale in Friuli Venezia...OECD CFE
Presentazione di Mattia Corbetta, Policy Analyst al Centro OCSE di Trento per lo Sviluppo Locale per il lancio del rapporto OCSE "Rafforzare il partenariato e la cooperazione internazionale in Friuli Venezia Giulia", 4 ottobre 2023, Trieste.
Maggiori informazioni www.trento.oecd.org
Immersive technologies and new audiences for classical ballet-RogersOECD CFE
Presentation by Tom Rogers, Creative Digital Producer, Birmingham Royal Ballet, United Kingdom at the 6th Summer Academy on Cultural and Creative Industries and Local Development "Disrupting tradition: How digital technology is changing the cultural and creative processes", 18-20 Sept. 2023 ONLINE and 27-29 Sept. 2023 ONSITE (Trento, Italy).
More info: https://oe.cd/sacci
Visit our website: www.oecd.org/cfe
Follow us on Twitter: @OECD_local
Data-driven art residencies to reshape the media value chain-BlotOECD CFE
Presentation by Manon Blot, Project Manager, Cultural and Artistic activities and EU projects, France at the 6th Summer Academy on Cultural and Creative Industries and Local Development "Disrupting tradition: How digital technology is changing the cultural and creative processes", 18-20 Sept. 2023 ONLINE and 27-29 Sept. 2023 ONSITE (Trento, Italy).
More info: https://oe.cd/sacci
Visit our website: www.oecd.org/cfe
Follow us on Twitter: @OECD_local
Presentation by Lara Assi, United Kingdom, & Natalie Lama, Jordan at the 6th Summer Academy on Cultural and Creative Industries and Local Development "Disrupting tradition: How digital technology is changing the cultural and creative processes", 18-20 Sept. 2023 ONLINE and 27-29 Sept. 2023 ONSITE (Trento, Italy).
More info: https://oe.cd/sacci
Visit our website: www.oecd.org/cfe
Follow us on Twitter: @OECD_local
Presentation by Harry Verwayen, General Director, Europeana Foundation, the Netherlands at the 6th Summer Academy on Cultural and Creative Industries and Local Development "Disrupting tradition: How digital technology is changing the cultural and creative processes", 18-20 Sept. 2023 ONLINE and 27-29 Sept. 2023 ONSITE (Trento, Italy).
More info: https://oe.cd/sacci
Visit our website: www.oecd.org/cfe
Follow us on Twitter: @OECD_local
A process server is a authorized person for delivering legal documents, such as summons, complaints, subpoenas, and other court papers, to peoples involved in legal proceedings.
Presentation by Jared Jageler, David Adler, Noelia Duchovny, and Evan Herrnstadt, analysts in CBO’s Microeconomic Studies and Health Analysis Divisions, at the Association of Environmental and Resource Economists Summer Conference.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Understanding the Challenges of Street ChildrenSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
This session provides a comprehensive overview of the latest updates to the Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (commonly known as the Uniform Guidance) outlined in the 2 CFR 200.
With a focus on the 2024 revisions issued by the Office of Management and Budget (OMB), participants will gain insight into the key changes affecting federal grant recipients. The session will delve into critical regulatory updates, providing attendees with the knowledge and tools necessary to navigate and comply with the evolving landscape of federal grant management.
Learning Objectives:
- Understand the rationale behind the 2024 updates to the Uniform Guidance outlined in 2 CFR 200, and their implications for federal grant recipients.
- Identify the key changes and revisions introduced by the Office of Management and Budget (OMB) in the 2024 edition of 2 CFR 200.
- Gain proficiency in applying the updated regulations to ensure compliance with federal grant requirements and avoid potential audit findings.
- Develop strategies for effectively implementing the new guidelines within the grant management processes of their respective organizations, fostering efficiency and accountability in federal grant administration.
Many ways to support street children.pptxSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
Douglas Sutherland - Spatial mobility of workers – Evidence from the United States
1. SPATIAL MOBILITY OF WORKERS:
EVIDENCE FROM THE U.S.
Damien Azzopardi, Fozan Fareed, Mikkel Hermansen, Patrick Lenain
and Douglas Sutherland
OECD Workshop on Spatial Dimensions of Productivity
28-29 March 2019, Bolzano
2. Outline
1. Motivation
2. About the Job-to-Job (J2J) Dataset
3. Rising Labour Market Regulation: Occupational Licensing
4. What gives rise to J2J Earnings Growth?
5. Can Occupational licensing help explain J2J developments?
6. Next steps
4. • Job-to-Job (J2J) data comes from the U.S. Census Bureau
• It’s a matched employer-employee dataset that includes job-to-job flows at the state
level, by industry (NAICS), and across worker characteristics
• Coverage: Quarterly data from 2000 to 2017
• About 800+ million observations
About the Data
• Origin State and Industry to Destination State and Industry
• Origin State to Destination State by
• Worker demographics (Sex, Age, Education, Race and Ethnicity)
• Firm characteristics (Size/Age)
Job-to-Job (J2J) Flows
5. • Most job hirings are not for entry-level workers and are moves “up the job ladder”
• About 40-50% of the total hires between 2000-17 were J2J hires
Job-to-Job movements in U.S. are large
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
2000 Q3 2002 Q3 2004 Q3 2006 Q3 2008 Q3 2010 Q3 2012 Q3 2014 Q3 2016 Q3
ShareofEmployment
Hire Rate and Job-to-Job Hires Rate
Job-to-Job
Hires Rate
Hires Rate
6. • Worker reallocation is a driver of productivity
• During upswings, workers tend to move up the job ladder
• During downturns, job-to-job flows dry up and low productivity
workers lose their jobs
• Potential knowledge spillovers from reallocation of workers in
high productivity firms
Why are Job-to-Job Movements Important?
7. 0
5
10
15
20
25
30
35
% of labour force
Occupational licensing at the state level
Licensing has increased over time
US workers with a state license
But varies sizeably across states
Workers with a state license, 2013
Source: White House (2015); Kleiner and Vorotnikov (2017); BLS.
0
5
10
15
20
25
30
1950s 1960s 1970s 1980s 1990s 2000 2006 2008 2015 2016 2017 2018
% of labour force
8. Licensing across occupations
Source: BLS. 0 10 20 30 40 50 60 70 80
Food preparation and serving related
Computer and mathematical
Building and grounds cleaning and maintenance
Office and administrative support
Farming, fishing, and forestry
Production
Arts, design, entertainment, sports, and media
Sales and related
Construction and extraction
Transportation and material moving
Installation, maintenance, and repair
Management
Business and financial operations
Architecture and engineering
Total
Life, physical, and social science
Personal care and service
Community and social services
Protective service
Healthcare support
Education, training, and library
Legal
Healthcare practitioners and technical
% of employment
Workers with a license by occupation, 2018
9. Exploiting variation in occupational licensing
across states and industries
1) Database of licensed occupations from CareerOneStop
2) Merge onto employment statistics by state x industry x occupation
3) Compute (proxy) share of licensed workers by state-industry
State year Industry Occupation Employment Licensed
Florida 2017 Other services Hairdressers, Hairstylists, and Cosmetologists 22680 1
Florida 2017 Retail trade Hairdressers, Hairstylists, and Cosmetologists 2580 1
…
𝑶𝒄𝒄𝒖𝒑𝒂𝒕𝒊𝒐𝒏𝒂𝒍 𝒍𝒊𝒄𝒆𝒏𝒔𝒊𝒏𝒈 𝑭𝒍𝒐𝒓𝒊𝒅𝒂, 𝑶𝒕𝒉𝒆𝒓 𝒔𝒆𝒓𝒗𝒊𝒄𝒆𝒔, 𝟐𝟎𝟏𝟕 = 𝟎. 𝟏𝟖
10. • Today two main objectives:
1. Exploit relatively new dataset to examine recent patterns of job-to-job flows
• Across states, industries, individual characteristics and firm characteristics
2. Investigate how regulatory impediments are affecting job-to-job flows
• Can Occupational Licensing Explain Job-to-Job Developments?
Research Objectives
13. Job-to-Job Mobility
Across Industries (Average 2010- 2017)
-15% -10% -5% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Utilities
Manufacturing
Public Administration
Finance and Insurance
Wholesale Trade
Mining, Quarrying, and Oil and Gas Extraction
Transportation and Warehousing
Management of Companies and Enterprises
Real Estate and Rental and Leasing
Construction
Professional, Scientific, and Technical Services
Health Care and Social Assistance
Information
Educational Services
Other Services (except Public Administration)
Agriculture, Forestry, Fishing and Hunting
Retail Trade
Arts, Entertainment, and Recreation
Administrative, Support, Waste Management & Remediation Services
Accommodation and Food Services
Net % Change in J2J Mobility
14. Job-to-Job Mobility
Across Individual Characteristics
0% 3% 6% 9%
White Alone
Black or African American Alone
American Indian or Alaska Native Alone
Asian Alone
Native Hawaiian or Other Pacific Islander
Alone
Two or More Race Groups
Not Hispanic or Latino
Hispanic or Latino
Male
Female
Overall
Share of Employment
J2J Mobility Rate: Gender, Race and
Ethnicity
2001-2009
2010-2017
0% 3% 6% 9% 12% 15%
Educational attainment not available
(workers aged 24 or younger)
Bachelor's degree or advanced degree
Some college or Associate degree
High school or equivalent, no college
Less than high school
65-99
55-64
45-54
35-44
25-34
22-24
19-21
14-18
Share of Employment
J2J Mobility Rate: Age and Education
15. 0% 2% 4% 6% 8% 10% 12%
Firm Size Not Available For Public-Sector Firms
0-19 Employees
20-49 Employees
50-249 Employees
250-499 Employees
500+ Employees
Firm Age Not Available For Public-Sector Firms
0-1 Years
2-3 Years
4-5 Years
6-10 Years
11+ Years
Overall
Share of Employment
J2J Mobility Rate across Firm Age and Firm Size
2001-2009
2010-2017
Job-to-Job Mobility
Across Firm Characteristics
17. Who gains the most from job-to-job move?
Results from regression of job-to-job earnings growth on worker characteristics
All coefficients are significant at the 1% level. Separate estimations are used for gender-age; race/ethnicity; and education (N=5,396,500; 2,597,403; 4,236,895).
The estimated equations include controls for state unemployment, distance measures; state destination, state origin, industry destination, industry origin and time fixed effects.
Data period 2000q4-2017q1. Observations are weighted by number of job-to-job moves in each cell. Estimated log-differences are scaled by 100 and reported as %.
0 5 10 15 20
Male
Female
White
Black
American Indian
Asian
Other race
Not hispanic or latino
Hispanic or latino
Marginal earnings effect of job-to-job move (%)
0 10 20 30 40
Age 14-18
Age 19-21
Age 22-24
Age 25-34
Age 35-44
Age 45-54
Age 55-64
Age 65+
Less than high school
High school
Some college
Bachelor's or advanced degree
Marginal earnings effect of job-to-job move (%)
18. 0 5 10 15 20
0-19 employees
20-49 employees
50-249 employees
250-499 employees
500+ employees
0-1 year
2-3 years
4-5 years
6-10 years
11+ years
Marginal earnings effect of job-to-job move (%)
What type of job-to-job move pays off?
Results from regression of job-to-job earnings growth on mobility characteristics
All coefficients are significant at the 1% level. Separate estimations are used for firm size and firm age (N=3,700,815; 3,413,698). The estimated equations include controls
for gender, age, state unemployment, distance measures; state destination, state origin, industry destination, industry origin and time fixed effects. Data period 2000q4-2017q1.
Observations are weighted by number of job-to-job moves in each cell. Estimated log-differences are scaled by 100 and reported as %.
Destination firm size
Destination firm age
0 5 10 15 20
Within industry move
Between industry move
Within state move
Neighbour state move
Non-neighbour state move
Marginal earnings effect of job-to-job move (%)
19. -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5
Destination state-industry
Origin state-industry
Effect on earnings growth of job-to-job move (%-point)
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5
Destination state-industry
Origin state-industry
Effect on job-to-job hire rate (%-point)
Preliminary results suggest occupational licensing is
associated with lower mobility and lower earnings growth
Effect on job-to-job hire rate
10%-point increase in share of licensed employment
Effect on job-to-job earnings growth
10%-point increase in share of licensed employment
All coefficients are significant at the 1% level, except origin state-industry for job-to-job hire rate. The estimated equations include controls for gender, age,
state unemployment, distance measures; state destination, state origin, industry destination, industry origin and time fixed effects (N=1,473,141).
Data period 2012q1-2017q1. Observations are weighted by number of job-to-job moves in each cell. Estimated log-differences are scaled and reported as %-point.
20. • Try to improve our measures of Occupational Licensing, or at least make sure results are
robust to other indicators
• Investigate the relationship between State proxies for productivity and labor mobility
Next Steps
22. • Nurses need State-specific
licenses to practice
• Some States now recognise
licenses from other States
• Mutual recognition boosts
migration flows of medical
personnel between these States
• Some evidence of diversion
Occupational licensing can affect worker flows
-0.2
-0.1
0
0.1
0.2
Compact Non-compact All
Effect of joining the nurse licensing
compact on inter-State migration flows
Source: Amy Ghani (2018)
23. Job-to-Job Mobility
Across States (Average 2010- 2017)
-6000
-4000
-2000
0
2000
4000
6000
8000
10000
Illinois
NewYork
NewJersey
Pennsylvania
Michigan
Connecticut
Maryland
Ohio
Virginia
Mississippi
Indiana
Missouri
Alabama
Louisiana
Wisconsin
Massachusetts
NewMexico
Kansas
WestVirginia
Arkansas
RhodeIsland
Iowa
Kentucky
Wyoming
NewHampshire
Maine
Nebraska
Delaware
Vermont
Minnesota
Idaho
Oklahoma
Hawaii
Montana
Utah
DistrictofColumbia
NorthDakota
California
Georgia
Arizona
Nevada
SouthCarolina
Tennessee
Oregon
NorthCarolina
Washington
Colorado
Florida
Texas
NetChangein#ofJ2JHires
Net Change in J2J Mobility
(Inflows- Outflows)
24. Job-to-Job Mobility
Across Industries (Average 2010- 2017)
0% 2% 4% 6% 8% 10%
Utilities
Public Administration
Educational Services
Manufacturing
Finance and Insurance
Management of Companies and Enterprises
Health Care and Social Assistance
Wholesale Trade
Information
Other Services (except Public Administration)
Professional, Scientific, and Technical Services
Average
Real Estate and Rental and Leasing
Transportation and Warehousing
Retail Trade
Arts, Entertainment, and Recreation
Mining, Quarrying, and Oil and Gas Extraction
Construction
Accommodation and Food Services
Agriculture, Forestry, Fishing and Hunting
Administrative and Support and Waste Management and Remediation…
Share of Employment
Job-to-Job Hire Rates
25. Job-to-Job Mobility
Across Industries (Average 2010- 2017)
-300000 -250000 -200000 -150000 -100000 -50000 0 50000 100000 150000 200000
Manufacturing
Health Care and Social Assistance
Wholesale Trade
Finance and Insurance
Construction
Professional, Scientific, and Technical Services
Transportation and Warehousing
Public Administration
Educational Services
Real Estate and Rental and Leasing
Management of Companies and Enterprises
Information
Mining, Quarrying, and Oil and Gas Extraction
Utilities
Other Services (except Public Administration)
Agriculture, Forestry, Fishing and Hunting
Arts, Entertainment, and Recreation
Retail Trade
Administrative and Support and Waste Management and Remediation Services
Accommodation and Food Services
Net Change in # of J2J Hires
Net Change in J2J Mobility
(Inflows - Outflows)
29. 9% of the J2J flows from California were to other states. Rest were within California.
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
California
Michigan
Texas
Ohio
Wisconsin
Florida
Minnesota
Utah
Indiana
Georgia
Washington
Arizona
NewYork
North…
Pennsylvania
Maine
Alabama
Illinois
Colorado
Tennessee
Oregon
Oklahoma
Louisiana
Hawaii
Nevada
South…
Arkansas
Massachusetts
Missouri
Kentucky
Montana
Idaho
Nebraska
SouthDakota
Virginia
Iowa
NewMexico
Mississippi
Connecticut
NewJersey
Kansas
Vermont
Maryland
WestVirginia
New…
Delaware
RhodeIsland
Wyoming
NorthDakota
Districtof…
Out of State Mobility
30. *Net % J2J Change= (J2J Inflows- J2J Outflows)/J2J Outflows
-15% -10% -5% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Utilities
Manufacturing
Public Administration
Finance and Insurance
Wholesale Trade
Mining, Quarrying, and Oil and Gas Extraction
Transportation and Warehousing
Management of Companies and Enterprises
Real Estate and Rental and Leasing
Construction
Professional, Scientific, and Technical Services
Health Care and Social Assistance
Information
Educational Services
Other Services (except Public Administration)
Agriculture, Forestry, Fishing and Hunting
Retail Trade
Arts, Entertainment, and Recreation
Administrative, Support, Waste Management & Remediation Services
Accommodation and Food Services
Net % Change in J2J Mobility*
31.
32. Net Change in Job-to-Job Flows per State
Net change= J2J flows into state X from other states - J2J hires from state X to other states
Green states are the ones which get more J2J hires into them
33. Where are Texas Workers Going?
Job to Job Flows from Texas to Other States
34. Where are Texas Workers Going?
Job to Job Flows into Texas from Other States
About 90% of total job-to-job hires in Texas are “Within State”
35. Where are Texas Workers Going?
Net Flow of Job-to-Jobs for Texas
Net flow for State X= People to Texas from State X- People from Texas to State X
Green states are the ones where J2J gains for Texas are coming from
36. *Real GDP/ Total # of Employed People
0 0.2 0.4 0.6 0.8 1 1.2
Real estate and rental and leasing
Mining
Government
Utilities
Information
Finance and insurance
Wholesale trade
Manufacturing
Agriculture, forestry, fishing, and hunting
Management of companies and enterprises
Professional, scientific, and technical services
Construction
Transportation and warehousing
Other services, except government
Arts, entertainment, and recreation
Retail trade
Health care and social assistance
Administrative and waste management services
Accommodation and food services
Educational services
Productivity Average 2015-2017
Productivity
Across Sectors (Average 2015- 2017)
37. Productivity
Across States (Average 2015- 2017)
0
0.05
0.1
0.15
0.2
0.25
ME
MS
ID
VT
AR
SC
MT
KY
AL
MO
WV
WI
FL
KS
TN
UT
MI
IN
SD
NV
AZ
OH
NH
IA
NC
RI
NE
NM
GA
LA
PA
OK
OR
MN
IL
VA
ND
CO
MA
TX
NJ
WY
WA
MD
NY
HI
CT
CA
DE
DC
PRODUCTIVITY