TFP | Jotup

U.S. Department of Energy Selects LS Power's SWIP-North Project for the Transmission Facilitation Program

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Giovedì, Aprile 25, 2024

DOE, Pacific Northwest, Element, Risk, Congestion, Harry Allen, Partnership, Electricity, Employment, El Dorado, CAISO, Inflation, NV Energy, Economic development, KV, TFP, GBT, Southwestern United States

SWIP-North will also extend to Idaho the benefits of transmission lines developed earlier by LS Power that have served Nevada and the California Independent System Operator ("CAISO").

Key Points:

SWIP-North will also extend to Idaho the benefits of transmission lines developed earlier by LS Power that have served Nevada and the California Independent System Operator ("CAISO").
The concept of an inter-regional transmission project spanning multiple states originated in the 1980s, with LS Power acquiring rights to the project in 2005.
"Enhancing grid reliability and providing access to clean energy resources are top priorities for LS Power.
In December 2023, GBT was selected as part of CAISO's 2022-2023 Transmission Plan to develop, permit, finance, construct, own, operate and maintain the SWIP-North Project.

Monetary asmmetries without (and with) price stickiness

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Venerdì, Aprile 19, 2024

Online, University, Public Security Section 9, Employment, Calibration, Small, Equity, Volume Ten, Research Papers in Economics, Policy, A.4, Communication, Crisis, Mass, Silvana Tenreyro, Business, Shock, Intuition, Business cycle, TFP, Volume, European Economic Review, Marginal value, SME, NBER, Forecasting, Depression, 3rd millennium, European Economic Association, Conceptual model, Journal of Monetary Economics, Insurance, Harmonization, Great Depression, CES, Economic Inquiry, Paper, Environment, Political economy, Journal of Financial Economics, MIT, University of York, COVID-19, Behavior, Review of Economic Dynamics, Rigid transformation, Website, Access to finance, Accounting, Working paper, Probability, Total, Appendix, Section 8, Quarterly Journal of Economics, Zero lower bound, Curve, Chapter, Cost, Nominal, Journal of Political Economy, Euro, PDF, ECB, Unemployment, Hoarding, STAT, Economic Policy (journal), Household, Canadian International Council, Social science, Government, Federal Reserve Bank, JEL, Journal, Textbook, Missing, Food, Private sector, A.5, Asymmetric, The Journal of Finance, Credit, Speech, Princeton University Press, Literature, NK, European Central Bank, Growth, Labour, Monetary economics, Loss aversion, Financial intermediary, Injection, Elasticity, Inventory, Subprime lending, Ben Bernanke, Finance, BIS, Phillips curve, International Economic Review, Money, London School of Economics, Marginal product of labor, Pruning, Marginal product, The Economic Journal, Rate, Aswath Damodaran, Risk, OECD, Competition (economics), Section 4, MIT Press, Consumption, Bond, Section 3, Yield curve, Loanable funds, Habit, Cobb–Douglas production function, Economy, Aarhus University, Financial economics, Section 2, Conference, Central bank, Chapter Two, Monetary policy, Capital, Hartman–Grobman theorem, CEPR, Framework, American Economic Review, Capital Markets Union, ZLB, Exercise, Liquidity, Interest, Intensive word form, Workshop, European Commission, Macroeconomic Dynamics, Population growth, B1, Response, Quarterly Journal, Community business development corporation, GDP, E31, Control, Journal of Economic Theory, Christian Social Union (UK), T2M, Hamper, Data, American Economic Journal, Aggregate, Konstantinidis, B.1, A.9, A.6, Remuneration, Civil service commission, EUR, Uncertainty, Motivation, A.7, Bank, GFC, Section 13, Motion, Reproduction, IMF, Staggers Rail Act, Abstract, Tale, Handbook, Asymmetry, Stanford University, Communications satellite

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Unlocking efficiency: optimal monetary policy when capital misallocation matters

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Venerdì, Aprile 19, 2024

While “misallocation of capital” and its detrimental impact on productivity is traditionally beyond the scope of central banks, monetary policy can influence it through firms’ investment decisions.

Key Points:

While “misallocation of capital” and its detrimental impact on productivity is traditionally beyond the scope of central banks, monetary policy can influence it through firms’ investment decisions.
Using a New Keynesian model and granular data on Spanish firms, our results show that expansionary monetary policy reduces capital misallocation.

Isabel Schnabel: From laggard to leader? Closing the euro area's technology gap

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Giovedì, Aprile 18, 2024

Orbis, NACE, PRT, Premium, Employment, FRA, Economics, ITA, BACH, LVA, European Commission, GTA, ECB, Risk, CEIC, Ageing, Intangibles, Policy, Person, NGEU, TFP, GDP, GRC, NLD, EIA, RHS, Bureau of Economic Analysis, Database, Digital, European Economic Association, Journal, LUX, AUT, JPN, Frontier, Harmful, Trade Data Monitor, Gérard Schivardi, Lost, Attention, Growth, LHS, LTU, RRF, COVID-19, Rubric, Productivity, Bank, Capital, HICP, Social, METI, Total

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California Wildfire Innovation Fund Delivers Sustainable Forestry Solutions

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Giovedì, Febbraio 29, 2024

Sierra Nevada, CSAA, Blue, TFP, Carbon, Tribe, Biomass, Environment, Partnership, Logging

WALNUT CREEK, Calif., Feb. 29, 2024 /PRNewswire/ -- At the one-year anniversary of CSAA Insurance Group's announcement of a $25M investment in the California Wildfire Innovation Fund, several notable initiatives supported by the fund are underway to realize the stated goals of climate resilience and economic growth:

Key Points:

"We are pleased that our investment in the California Wildfire Innovation Fund is significantly advancing our commitment to forest resiliency," said Chief Risk Officer Jeff Huebner.
The California Wildfire Innovation Fund is managed by Blue Forest Asset Management, and targets emerging investment opportunities in forest restoration, wood utilization, and wildfire mitigation.
"We are excited about the California Wildfire Innovation Fund's initial portfolio of high-impact forest restoration investments," said Blue Forest CEO Zach Knight.
For more information about the California Wildfire Innovation Fund and Blue Forest Asset Management, visit www.blueforest.org .

Managing the transition to central bank digital currency

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Mercoledì, Febbraio 14, 2024

Technical report, Regulation, Private sector, Aircraft, Interest, RTD, Policy, CES, Research Papers in Economics, A.2, The Economic Journal, RTK, International Settlement, F30, Next, A.6, Community business development corporation, A.7, UIP, American Economic Journal, National bank, Paper, Bank, Macroeconomics, Economy, Central bank, GSS, Capital, XF, Elasticity, Government, Competition, Credit, Social science, Volatility, Domestic, European, IH, Investment, A.13, SSRN, Intermediate, A.5, Section 2, AP, Probability, Review of Economic Dynamics, Foreign, Journal of Monetary Economics, Remuneration, Uncertainty, Medical classification, Bank of England, Shock, DF, Bank of Canada, ISSN, CIA, European Central Bank, Survival, RD, FH, KT, N B, Cuore, Monetary economics, Section 3, Welfare, Iteration, DSGE, Blessthefall, Reserve, Website, GBP, Calibration, RDC, Parameter, DCT, GDP, KF, Sokol, Rebelo, Figure, De Nederlandsche Bank, Parity, TFP, Depreciation, Total, BIS, Home, Section 4, Attitude, Acquisition, JEL, Cross, Household, FF, QT, Control, Swiss, Motion, ECB, M. A, GF, A.9, RT, Cattolica, Exercise, C.2, XH, Tax, Crowding, European Parliament, Literature, Reproduction, Political economy, Committee, Exp, E50, Uhlig, EUR, IID, Digital currency, Tourism, American Economic Review, Manuscript, AG, A.8, Research, F41, Friction, Public sector, PDF, U N, YH, Cryptocurrency

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Assessing the macroeconomic effects of climate change transition policies

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Venerdì, Febbraio 9, 2024

This box assesses the impact on euro area real GDP and inflation of green fiscal discretionary measures as included in the December 2023 Eurosystem staff macroeconomic projections.

Key Points:

This box assesses the impact on euro area real GDP and inflation of green fiscal discretionary measures as included in the December 2023 Eurosystem staff macroeconomic projections.
These simulations suggest modest downside risks to GDP and upside risks to inflation from transition policies to achieve EU targets, but the effects depend on the transition policy mix.

The effect of new housing supply in structural models: a forecasting performance evaluation

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Domenica, Febbraio 4, 2024

BET, Section 2, Model, XT, CIT, LTV, Forecasting, Total, Bank, RT, Elasticity, GDP, Website, University of Chicago Press, Process control block, Fiscal, Reproduction, University, WTP, Johns Hopkins University Press, E32, Faculty, Writing, KMR, Monetary economics, Household, Root mean square, YT, GFC, Language, VAR, A6, Motivation, Growth, PLT, Hartman–Grobman theorem, Research, House, Observation, Friction, Section 4, Classification, Macroeconomic model, BAA, AP, Kálmán, Odyssean Wicca, Parameter, Blue chip, A5, HPT, Mark Gertler, Learning, Smets, Inflation, ECB, Q2, Trade, CE, Hit, SPF, Review of Economic Dynamics, ZBW, Kolasa, LTM, R21, Patient, Prior, Shock, Movement, ZT, Australasian, M1, Lens, Great, Nobuhiro, European Central Bank, Estimator, Policy, LTI, COVID-19, Attention, HP, Feedback, Goethe University Frankfurt, International Journal of Forecasting, Federal Reserve, Federal Reserve Bank, Behavior, Health, Blue Chip Economic Indicators, Inverse, Zero lower bound, The Blue, Journal of Applied Econometrics, Economic forecasting, Matrix, Economy, Federal, R31, LTP, Chinese Blackjack, WTI, CES, Sim, Bit, Section 5, Capital market, Quantitative Economics, Credit, Motion, Central bank, Journal of Political Economy, Political economy, Taylor & Francis, Journal of Monetary Economics, Act, Binning, CPT, DPT, Point, MCMC, RealTime, Literature, Metropolis–Hastings algorithm, ZLB, TFP, Research Papers in Economics, Del Negro, GBT, Communication, Kalman filter, Markov, Cycle, Business cycle, Eurozone, DFF, PDF, Filter, Medical classification, American Economic Journal, Demand shock, Comparison, Employment, KTEH, Cobb–Douglas production function, Nonprofit organization, Sampler, PTW, Par, Liquidity trap, Paper, Nominal interest rate, QT, Exercise, Monetary policy, RTD, Interest rate, A7, University of Cambridge, Control, Statistics, Posterior, Pressure, American Economic Review, E37, Financial intermediary, Social science, Basel II, Delphic, Depreciation, European Economic Review, HPD, Ai, Calendar, E17, Government, Journal of Econometrics, HTM, Freedom, LTE, Probability, Face, Calibration, Oxford University Press, New Keynesian economics, Sun, HH, Me, Uncertainty, FPI, Production, Dynamics, Handbook, Real estate

Key Points:

Cognizant Impact Study Predicts Generative AI Could Inject $1 Trillion Into U.S. Economy Over 10 Years

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Mercoledì, Gennaio 10, 2024

Synthetic media, Media, Research, Employment, Partnership, Economics, Synapse, AI, Retraining, Work, Generative, CTSH, Workforce, Corporate title, Automation, Education, TFP, Growth

TEANECK, N.J., Jan. 10, 2024 /PRNewswire/ -- In partnership with Oxford Economics, Cognizant (NASDAQ: CTSH) today revealed findings from its new economic impact study New Work, New World, which predicted that 90% of jobs will be disrupted in some way by generative AI (gen AI), setting the stage for a profound shift in how we approach work, productivity and economic growth. The study also found that the technology's impact will be influenced by the rate of business adoption and how quickly individuals can adapt to new ways of working.

Key Points:

"Our study aims to lift the curtain on the effects generative AI may have on our global workforce," said Adrian Cooper, CEO at Oxford Economics.
Generative AI offers the potential to improve operational efficiency, create new revenue streams, innovate products and services, and ultimately redefine businesses.
To quantify generative AI's potential impact on productivity and the future of work, Cognizant partnered with Oxford Economics to create an economic model that explores three scenarios of U.S. businesses' generative AI adoption.
This model considered 18,000 tasks that drive the U.S. economy, and carefully examines the impact Generative AI may have on the jobs that ladder up to these tasks.

Cognizant Impact Study Predicts Generative AI Could Inject $1 Trillion Into U.S. Economy Over 10 Years

Retrieved on:

Mercoledì, Gennaio 10, 2024

Synthetic media, Media, Research, Employment, Partnership, Economics, Synapse, AI, Retraining, Work, Generative, CTSH, Workforce, Corporate title, Automation, Education, TFP, Growth

TEANECK, N.J., Jan. 10, 2024 /PRNewswire/ -- In partnership with Oxford Economics, Cognizant (NASDAQ: CTSH) today revealed findings from its new economic impact study New Work, New World, which predicted that 90% of jobs will be disrupted in some way by generative AI (gen AI), setting the stage for a profound shift in how we approach work, productivity and economic growth. The study also found that the technology's impact will be influenced by the rate of business adoption and how quickly individuals can adapt to new ways of working.

Key Points:

Cognizant & Oxford Economics impact study predicts 90% of jobs will be disrupted in some way by generative AI.
Generative AI offers the potential to improve operational efficiency, create new revenue streams, innovate products and services, and ultimately redefine businesses.
To quantify generative AI's potential impact on productivity and the future of work, Cognizant partnered with Oxford Economics to create an economic model that explores three scenarios of U.S. businesses' generative AI adoption.
This model considered 18,000 tasks that drive the U.S. economy, and carefully examines the impact Generative AI may have on the jobs that ladder up to these tasks.