Multiplier Effect Studies

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  • View profile for Koen Karsbergen

    Aviation Strategy Consultant & Educator | 2,500+ Professionals Trained · 75+ Countries | IATA Instructor & University Faculty | Air52 Co-founder

    12,980 followers

    🎯 Hidden Multiplier in Airline Economics: Strategic Aircraft Leasing Unit Costs Unveiled For the first time, a comprehensive visual connects all critical aircraft leasing unit cost drivers. Discover how three operational levers create a powerful multiplier effect that fundamentally impacts airline profitability. Key Insights: 1. Cost Driver Interplay: Utilization, load factor, and seat density form a multiplicative relationship, amplifying cost advantages when optimized together. 2. Network Strategy Impact: Point-to-point and hub-and-spoke models influence operational efficiency and cost structures through differences in route planning, aircraft utilization, and network density. 3. Strategic Cost Management: Airlines balance leasing decisions, network strategies, and operational factors to optimize costs and revenue models, adapting to market conditions and demand patterns. Illustrative Example: Our framework demonstrates how strategic choices can significantly impact unit costs. For instance: Higher utilization can drive COST/BH from $1,111 to $769. Optimizing seat density and load factor can reduce COST/PAX from $17.53 to $8.38. These figures illustrate potential differences between LCC and Network Carrier strategies, starting from the same lease price. Strategic Takeaway: Successful airlines don't simply minimize costs—they optimize these drivers within their chosen market position and business model. This approach transforms complex cost optimization into a competitive advantage, whether pursuing a premium strategy or a cost-driven model. Airlines strategically balance efficiency with their revenue approach to support either high-yield, service-focused operations or lean, high-volume strategies. 📌 Put this QRG to work: 1. Master the multiplier effect of utilization, load factor, and seat density on unit costs. 2. Evaluate your network strategy's impact on COST/BH and COST/ASK. 3. Apply this framework to optimize costs within your chosen market position. 💬 Comment below: Which cost driver presents the biggest optimization challenge in your current network strategy? ♻️ Share it and follow Koen Karsbergen and Air52 Aviation Consultants for more cutting-edge aviation insights that drive profitability. #aviation #airline #aviación #Air52Insights

  • I spoke multiple times about fiscal spending and how it is the main reason the US economy is not a recession, and why job numbers are holding. While current fiscal spending is not the highest, it remains high, and it is very high when looked at relative to the deficit. When Government spending large amounts of money financed through deficit, this would not be creating real economic growth, but kicking the can forward to future generations. U.S. Fiscal Deficit: How It’s Shaping Economic Momentum in 2024 In 2024, U.S. fiscal policy continues to be a major driver of economic activity, with increased government spending playing a pivotal role in keeping the economy afloat. With a fiscal deficit expected to hit $1.7 trillion this year, the U.S. is not shying away from expanding its balance sheet to stimulate growth. But how exactly is this deficit feeding through the economy, and what role does the multiplier effect play? 1. Gov. Spending and Employment One of the most visible effects of fiscal spending is on public sector employment. The government employed 2.2 million people in 2023, with the recent expansion in government hiring in sectors like infrastructure and healthcare pushing this figure even higher in 2024. For ex., the Bipartisan Infrastructure Law alone is projected to create 800,000 jobs annually, which not only benefits direct employees but also supports related sectors like construction, technology, and education. 2. The Multiplier Effect in Action Fiscal spending creates a ripple effect through the economy, known as the multiplier effect. According to research from the Congressional Budget Office, every dollar of government spending generates approximately $1.50 to $2.00 in additional economic output. This multiplier effect becomes particularly important in periods of economic uncertainty, where consumer spending may be weak, and private sector investment cautious. For instance, with the U.S. GDP growing at 2.1% in the first half of 2024, much of this growth can be attributed to federal spending. Programs like pandemic recovery grants and infrastructure projects are feeding into sectors beyond government—supporting small businesses, increasing demand for materials, and raising household incomes, which in turn boosts consumption. 3. Channels of Fiscal Impact Beyond employment, fiscal measures flow through several critical channels: - Transfer Payments: Social Security (SS), unemployment benefits, and other transfer programs have increased in recent years, with SS benefits rising by 8.7% in 2023. This has helped keep consumer spending steady, especially among older Americans, a demographic that represents around 70% of consumer spending. - Public Investment: The $550 billion in infrastructure investment over five years is laying the groundwork for future productivity gains, particularly in energy and transportation. Such investments are anticipated to have long-term growth impacts by improving efficiency and competitiveness.

  • View profile for Kalpak Shah

    CEO @ Velotio (an R Systems Company)

    8,799 followers

    Thoughts on Money Multiplier Effect on AI Capex & Funding The "money multiplier" is a foundational concept in economics. Central bank deposits $1 million in a bank which keeps a fraction in reserve, lends the rest. The borrower spends it, the recipient deposits it in another bank which lends again. $1 becomes several dollars of economic activity as it keeps moving. At a 10% reserve ratio, $1m can theoretically generate $10m in deposits. Reality is messier & leakages happen at every step. But the principle is clear: capital creates more value than its face amount because it circulates. Railroads, electrification, telecom, the internet - every major capitalist economic activity works this way. The current AI cycle is worth studying because that same dynamic is playing out across multiple loops. Loop 1 is infrastructure. Hyperscalers are deploying over $350B into AI capex in 2026. Some of it flows to Nvidia, which reports it as revenue, giving Nvidia the firepower to invest upto $100 billion into OpenAI & neoclouds. OpenAI commits hundreds of billions to Oracle & AWS for cloud capacity. Oracle uses the money to buy more Nvidia chips. Microsoft backs both OpenAI & Anthropic, who commit billions back to Azure. Each dollar shows up as revenue on multiple income statements as it moves through the loop. Power generation, datacenter, memory & chip companies also take on debt against these contracts, monetizing future cashflows & further increasing the multiplier. Loop 2 is the application layer. AI startups raise VC funding & spend it on other AI startups' tools. An AI coding assistant pays for an AI observability platform, which pays for an AI infrastructure monitoring service, which pays for AI-powered analytics. VC dollars circulate within the ecosystem, each transaction counted as ARR, each ARR number feeding the next fundraise. This is similar to the 2020-21 SaaS pattern which pulled forward growth creating an “incestuous SaaS bubble” which has been deflating for last 3-4 years. How much of this capital crosses over into the broader economy versus recirculating within tech+software+VC? Global IT spending runs about $5.7 trillion a year. That is roughly 5% of global GDP. Which means the tech sector by itself is not a large enough base to absorb the capital being deployed. For the loop to sustain, AI has to get consumed by the other 95% of GDP. Manufacturing, healthcare, agriculture, logistics, financial services, government, education. This diffusion of AI into the real economy needs to happen in a timeline commensurate enough to the spending/investment. The velocity of capital formation is impressive & the multiplier is building real capacity. Anthropic’s revenue ramp after Opus & OpenClaw is a great indicator of rapid AI diffusion. The AI Intelligence is real & I am an AI bull. But I do want keep an eye on: a) pace of AI diffusion outside of the tech economy b) pace of revenue growth that is independent of VC funding & hyperscaler CAPEX

  • View profile for Laurent Millet, CFA, CAIA

    Portfolio Manager | Equity Quality-Value | Private Consumer Loans |

    13,695 followers

    Geopolitical tensions, the ongoing conflict in Ukraine, and evolving NATO commitments have forced EU governments to fundamentally rethink their defense priorities. Defence spending is set to rise sharply in the coming years. A newly published BBVA paper by Agustin García Serrador, David Sarasa Flores and Camilo Andrés Ulloa Ariza estimates the fiscal multiplier effects of EU defense spending. They find that a one percent-of-GDP increase in defence spending lifts output by about 1.4 percent within a year, peaks at 1.6 percent in year two, before fading to zero after six years. Short-run gains are real, but temporary. The economic impact of defence spending depends not merely on the total amount invested, but critically on how those funds are allocated. Capital-intensive expenditures deliver far superior multipliers compared to operational costs like wages or consumables. Gross fixed capital formation in defense generates a multiplier approaching 2.4 within two years, while personnel spending barely reaches 0.8. Intermediate consumption actually begins with negative effects and recovers only modestly over time. The timing of defense spending proves equally important as its composition. In deep recessions, defense spending multipliers exceed 1.75, while during strong economic expansions, they drop below 0.75. Idle resources amplify stimulus effects, while operating at full capacity constrains them.  A country's fiscal position serves as another critical determinant of multiplier effectiveness. When governments maintain wide fiscal space (low debt stress and minimal snowball effects), multipliers consistently exceed 1.5. However, under conditions of fiscal strain, these multipliers collapse to below one. Finally, the structure of military supply chains plays a decisive role in sustaining economic benefits. Countries with low dependence on military imports maintain high, positive multipliers across all time horizons. High import reliance erodes the domestic economic impact and can actually turn multipliers negative within six years. Building and maintaining domestic production capacity enables countries to capture more of the economic stimulus from their defense investments. When compared to non-defense government spending, defense expenditures consistently deliver superior short-run multipliers for both current spending and purchases of goods and services. Non-defense multipliers reach less than one-third of defense multipliers during the critical first two years, highlighting the unique economic characteristics of military investment. In a rare departure from Europe's usual economic gloom, this research actually offers a hopeful message: strategic defense spending, when properly timed and structured, can deliver significant economic returns while simultaneously strengthening national security capabilities. https://lnkd.in/eYneN9Xm

  • View profile for Jay Whitehead, Ph.D.

    Impact Measurement & SROI for organisations that care | Social cost-benefit analysis | Economist (PhD) | Founder, Matatihi | Whakapapa economics & the Māori economy

    4,924 followers

    A $1 investment at Wigram Skies housing development generated about $2.60 across the wider economy, while the data suggested that less than 0.5% of employment income reached Ngāi Tahu members. I found this contrast in a study I conducted for the Ngāi Tahu Research Centre. The study examined Wigram Skies, Ngāi Tahu Farming and Ngāi Tahu Pounamu. Little disclaimer - I am Ngāi Tahu, from Ōraka Aparima. Ngāi Tahu Pounamu produced a smaller multiplier of about 2.0. It circulated 37% of direct economic output through Ngāi Tahu businesses and paid 28% of direct job income to Ngāi Tahu members. The multiplier analysis was pretty illuminating. Multipliers measure flow-on economic effects, i.e. the ripples created by an initial investment. Wigram made a substantial contribution to the wider economy while also exposing substantial leakage from the Ngāi Tahu economy. Pounamu created a smaller, wider effect and retained a greater share, moving through Ngāi Tahu businesses and members. Both results matter. Wider value is a contribution to celebrate. Leakage is an economic problem that procurement, employment and supplier development can address. Whakapapa Economics follows what may happen after value reaches those relationships. Income earned by a member can affect their whānau. Capability built in an iwi supplier can create further work. Value retained within the tribal economy can continue through communities and across generations. An iwi board could test an investment with a hypothetical question: is the investment building the potential for value to grow through the relationships of the people it is intended to benefit? The question changes how performance is read. A high multiplier records economic reach. Tribal circulation shows how much of that reach may become the starting point for further value among Ngāi Tahu people. A few nerdy details: the study measured the direct flows into businesses and members. The Wigram member-income share was estimated from the available role data. Subsequent whānau, community, and intergenerational effects fell outside the study’s scope and remain avenues for further analysis. The figures describe Wigram activity from 2010 to 2016 and Pounamu activity from 2016 to 2017. Current performance may differ.

  • View profile for Philipp Heimberger

    Senior Economist at the Vienna Institute for International Economic Studies (wiiw)

    14,028 followers

    This new paper estimates the macroeconomic effects of public investment in Germany. It's the first paper to collect information on the size, timing and motivation of all major public investment programs in Germany since the 1970s from official budget documents. The authors find that the public investment multiplier is 1.9 on impact and 2.5 after three years. Public investment crowds-in private investment, increases tax revenues and lowers unemployment. They find a similar multiplier in other euro area countries: https://lnkd.in/e_-UUqqN

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