Not exact matches
The Fair
Labor Association (FLA) and Worldwide Responsible Accredited Production standard (WRAP) both grew out
of U.S.
market reactions to labour abuses in Central America during the 1990s, while the Business Social Compliance Initiative (BSCI), the Supplier Ethical
Data Exchange (SEDEX) and Ethical Trade Initiative (ETI) worked to address early European concerns with the fair treatment
of workers across North Africa, India and Bangladesh.
In a new analysis, Business Insider culled
data across five measures
of labor -
market and general economic health for the 40 metropolitan statistical areas with the largest 2017 populations.
Treasury yields resume a steady climb higher on Wednesday as fretting about the threat
of an economically disruptive trade war between the U.S. and China subsided, and takes a back seat to the concerns about rising interest rates and coming
labor -
market data, which could inform the Federal Reserve's policy agenda.
«The outlook according to the latest
data suggests the
labor market in Maryland has kind
of stalled over the last 6 months.
The report notes that «[i] n emails to senior White House advisors, a
Labor Department official wrote
of the need to find literature and
data that can be woven together to demonstrate that there is a
market failure and to monetize the potential benefits
of fixing it.»
The U.S. Department
of Labor released new
data on May 5, showing a solid rebound for the job
market.
The U.S. Bureau
of Labor Statistics (BLS) reported on Friday that the U.S. economy added 80,000 jobs in June, leaving the jobless rate unchanged at 8.2 %, disappointing analysts and driving the stock
market downward even though the
data showed that all
of the new jobs came from the private sector.
On the
data front,
labor market information and
data products from the U.S. Census Bureau and the Bureau
of Economic Analysis offer tools to explore critical supply and demand questions.
While other
data on Thursday showed a modest increase in new applications for jobless benefits last week, the number
of Americans receiving unemployment aid fell to its lowest level since 1973, pointing to tightening
labor market conditions.
According to my team's analysis
of data via Bloomberg, «good» inflation can be viewed as price increases resulting from accelerating economic activity and a strong
labor market, and thus, most likely to further support rising wages and employment.
This compensation
data was ranked within the
Labor Market Peer Group by the aggregate amount
of annual salary, annual target and actual incentive awards, plus the annualized grant date value
of long - term cash and equity compensation.
Even apart from the desirability
of allowing inflation to rise above two percent in a happy economic scenario GDP,
labor market and inflation expectations
data all make a compelling case against a rate increase.
Most
of the
marketing data they provide is from free government sources such as the Department
of Commerce and Department
of Labor, as well as various Internet sources.
Some
of that qualification comes from recent announcements
of poor employment
data and a soft
labor market.
As a result, even though a tightening
labor market and recently supportive levels
of business, consumer, and investor confidence may bode well for the near - term outlook, the hard
data currently seems considerably less encouraging than the soft
data.
In fact, given that the U.S.
labor market likely experienced its cyclical peak at the end
of 2015 and the Fed began raising rates too late in my opinion, current Fed Funds futures are pricing in essentially only one hike in 2016, according to
data accessible via Bloomberg.
Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, operating in a highly competitive industry; changes in the retail landscape or the loss
of key retail customers; the Company's ability to maintain, extend and expand its reputation and brand image; the impacts
of the Company's international operations; the Company's ability to leverage its brand value; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its
market share, or add products; an impairment
of the carrying value
of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's ability to realize the anticipated benefits from its cost savings initiatives; changes in relationships with significant customers and suppliers; the execution
of the Company's international expansion strategy; tax law changes or interpretations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the United States and in various other nations in which we operate; the volatility
of capital
markets; increased pension,
labor and people - related expenses; volatility in the
market value
of all or a portion
of the derivatives we use; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation
of data or breaches
of security; the Company's ability to protect intellectual property rights; impacts
of natural events in the locations in which we or the Company's customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's ownership structure; the impact
of future sales
of its common stock in the public
markets; the Company's ability to continue to pay a regular dividend; changes in laws and regulations; restatements
of the Company's consolidated financial statements; and other factors.
Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, increased competition; the Company's ability to maintain, extend and expand its reputation and brand image; the Company's ability to differentiate its products from other brands; the consolidation
of retail customers; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its
market share or add products; an impairment
of the carrying value
of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's inability to realize the anticipated benefits from the Company's cost savings initiatives; changes in relationships with significant customers and suppliers; execution
of the Company's international expansion strategy; changes in laws and regulations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; failure to successfully integrate the business and operations
of the Company in the expected time frame; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the nations in which the Company operates; the volatility
of capital
markets; increased pension,
labor and people - related expenses; volatility in the
market value
of all or a portion
of the derivatives that the Company uses; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation
of data or breaches
of security; the Company's inability to protect intellectual property rights; impacts
of natural events in the locations in which the Company or its customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; tax law changes or interpretations; and other factors.
Following the Company's repayment
of the TARP CPP investment in December 2009, the HRC re-evaluated the appropriate base salaries for the named executives based on 2010
Labor Market Peer Group compensation
data.
For each position, this compensation
data was ranked within the
Labor Market Peer Group by the aggregate amount
of annual salary, annual target and actual incentive awards, plus the annualized grant date value
of long - term cash and equity compensation.
Our analysis leverages
data from the U.S. Census and Bureau
of Labor Statistics to determine how much new housing a metro can build, the amount
of slack in the housing
market and the impact
of an influx
of high - wage workers.
The GNC reviews the individual components and total amount
of director compensation at least annually and may recommend changes in director compensation to the Board for its approval more or less frequently based on, among other factors, competitive pay
data for non-employee directors
of the financial services companies in the Company's
Labor Market Peer Group.
Unemployment
data underlined the extent
of the recovery in
labor markets, with the ratio
of jobless workers falling to its lowest level since 2009, although around a tenth
of the workforce still remained out
of work.
Despite their insistence on a tragic end to this story, we really haven't seen a meaningful level
of economic slowdown from recent
data releases, especially those in the
labor and housing
markets.
«One
of the things that the china beige book plans to do is to give people a real picture
of not just the growth dynamics, but also the
labor market, the credit dynamics, the macro implications
of Chinese growth, indications
of future Chinese demand, implications
of commodity
markets around the world, we try to give the people a much better picture on what's actually happening instead
of just relying on official
data and press release».
October's
labor market data reverted to the relatively familiar picture
of solid job creation accompanied by lackluster wage growth.
As for what this means for the timing
of a Federal Reserve (Fed) rate hike,
data about the U.S. economy on balance exceed the reasonable measures a «
data dependent» Fed might require to move off
of «emergency interest rate» levels, as BlackRock's proprietary «Yellen Index»
of labor market / economic conditions shows in the chart below.
The improvement in conditions was further emphasized by
labor market data, showing that unemployment in the region had fallen in June to a nine - year low
of 9.1 %, 1 % down from a year earlier.
Though the 156,000 jobs added in August's
labor market report fell short
of the figure predicted in consensus forecasts, any disappointment was muted by the historical tendency
of data in August to be adjusted at a later date, with the initial level
of hiring revised higher in five
of the last six years.
But the recent positive tone
of data increases our optimism the US economy is on solid ground going into this period, underpinned by the enduring strength
of the
labor market and the healthy contribution to growth from consumers.
In an ambitious project to assess the correctness
of Talcott Parsons» theory
of evolutionary universals, Gary Buck accumulated masses
of data for 115 contemporary nation - states from every part
of the world.7 He developed elaborate indices (as
of 1960 wherever possible)
of the ten variables Parsons discussed: (1) communication, (2) kinship organization, (3) religion, (4) technology, (5) stratification, (6) cultural legitimation, (7) bureaucratic organization, (8) money and
market complex, (9) generalized universalistic norms, and (10) democratic association.8 Information was taken from such sources as the United Nations Statistical Yearbook, the Yearbook
of Labor Statistics, and UNESCO's World Survey
of Education.
Hicks expands on Rauschenbusch's method, offering highly sophisticated
data gathered by economists to expose two aspects
of inequality that indicate injustice even when there is equal opportunity in the
labor market.
The state
Labor Department threw ice cold water on the Buffalo Niagara job
market, releasing revised numbers based on more complete payroll tax and census
data, indicating that hiring by local employers was just a third
of what was initially reported.
The Rand report concludes that, although adequate
data and accurate assessments
of labor market conditions are important for many different parties, early career and prospective scientists are especially vulnerable.
Labor market data are «suggestive
of surpluses»
of scientists, with only «isolated shortages
of skilled people in narrow fields or in specific technologies.»
In this paper, Hitt, Trivvit, and Cheng demonstrate across several longitudinal
data sets that students who are more non-responsive to survey questions (skipping items or saying «don't know») have significantly lower educational attainment and fare less well in the
labor market, even after controlling for a broad set
of background characteristics and cognitive measures.
In a new working paper that traces connections between earnings and skills over time, HGSE economist David Deming has found that the
labor market is increasingly rewarding social skills — even over the kind
of cognitive skills that we often think
of as being particularly valuable in an era
of big
data and expanding technology.
We rely first on
data on
labor -
market experiences
of people at different ages and in different countries collected in the mid-1990s as part
of an OECD - sponsored venture.
We then use
data from the British Cohort Study, which regularly surveys all those living in Great Britain born in the United Kingdom between April 5 and 11 in 1970, to estimate the impact
of an improvement in reading scores
of this magnitude on future
labor market earnings.
In a sophisticated analysis
of student high school transcripts, postsecondary enrollment and
labor market data, researchers learned that:
«A variety
of national
data analyzed by the Center for
Labor Market Studies show that conservatively all youth between the ages
of 16 and 24 (6,173,883 individuals) that had left high school without a regular diploma by 2007.
Finally, «Next Generation» accountability systems should adhere to the following five essentials: «(a) state, district, and school leaders must create a system - wide culture grounded in «learning to improve;» (b) learning to improve using [the aforementioned informational systems also] necessitates the [overall] development
of [students»] strong pedagogical
data - literacy skills; (c) resources in addition to funding — including time, access to expertise, and collaborative opportunities — should be prioritized for sustaining these ongoing improvement efforts; (d) there must be a coherent structure of state - level support for learning to improve, including the development of a strong Longitudinal Data System (LDS) infrastructure; and (e) educator labor market policy in some states may need adjustment to support the above elements» (p.
data - literacy skills; (c) resources in addition to funding — including time, access to expertise, and collaborative opportunities — should be prioritized for sustaining these ongoing improvement efforts; (d) there must be a coherent structure
of state - level support for learning to improve, including the development
of a strong Longitudinal
Data System (LDS) infrastructure; and (e) educator labor market policy in some states may need adjustment to support the above elements» (p.
Data System (LDS) infrastructure; and (e) educator
labor market policy in some states may need adjustment to support the above elements» (p. x).
Page 2 Appendix I:
Data and Sample Page 3 Appendix II: Accounting for Selective College Graduation Page 5 Appendix III: Accounting for
Labor Market History Page 6 Appendix IV: The Role
of Regional
TPEIR allows for the analysis
of student
data from enrollment into the public education system through matriculation and graduation from Texas colleges and into the
labor market.
Our products and activities include the creation
of guidelines for examining return on investment (ROI) at local, agency, and state levels; a technical skills assessment inventory; the validation
of crosswalks that link education programs to
labor market information; and the identification
of common
data standards for Perkins accountability.
In this paper, we seek to provide a fairly comprehensive and up - to - date snapshot
of the most important postsecondary education and
labor market outcomes in the U.S. using two nationally representative sources
of data: The Survey
of Income and Program Participation (SIPP) and The National Educational Longitudinal Survey (NELS).
Expanded international
data from the PIAAC survey
of adult skills allow us to analyze potential sources
of the cross-country variation
of comparably estimated
labor -
market returns to skills in a more diverse set
of 32 countries.
The NRCCTE produces and publishes videos that highlight and explore issues
of urgency to both the field
of CTE and the nation's higher education system, recovering economy, and evolving
labor market, addressing such topics as programs
of study / career pathways, curriculum integration
of CTE and academic content knowledge and skills, postsecondary student retention and completion, and professional development for educators in the areas
of data use for program improvement and support for alternatively certified CTE educators.
AutoMD's Fair Price estimates are calculated for both shop repair and Do - It - Yourself, and are formulated for specificity using average
labor costs for each zip code, hours to complete and AutoMD's proprietary real - time
market pricing
data on millions
of vehicle parts - down to engine size and sub-model.
For the report, ATTOM
Data Solutions compared recently released fair market rent data from the Department of Housing and Urban Development with reported income amounts from the Department of Labor and Statistics to determine the percentage of income that a family would have to spend on their monthly housing cost (rent or mortgage paymen
Data Solutions compared recently released fair
market rent
data from the Department of Housing and Urban Development with reported income amounts from the Department of Labor and Statistics to determine the percentage of income that a family would have to spend on their monthly housing cost (rent or mortgage paymen
data from the Department
of Housing and Urban Development with reported income amounts from the Department
of Labor and Statistics to determine the percentage
of income that a family would have to spend on their monthly housing cost (rent or mortgage payments).