Economic Resilience: Why Recessions Occur and How Economies Recover

Last Updated May 26, 2026

Economic resilience is the capacity of an economy to absorb shocks, limit human damage during downturns, and rebuild productive life after a recession. It is not simply the ability of financial markets to recover, or the return of gross domestic product to its previous path. A resilient economy protects workers, households, firms, public services, local communities, and essential institutions when spending collapses, credit tightens, confidence breaks, or external shocks disrupt ordinary economic activity.

Recessions occur when economic coordination fails at scale. Households reduce spending, firms cut production, investment slows, hiring weakens, incomes fall, and pessimism can reinforce itself. In many downturns, the problem is not that workers have forgotten how to work, factories have disappeared, or society has lost its productive knowledge. The problem is that the circular flow of income, spending, credit, confidence, and employment has been interrupted.

This article explains why recessions occur, why they can persist even when productive capacity remains available, and how economies recover. It begins with Keynes’s central insight that insufficient aggregate demand can produce involuntary unemployment. It then expands that framework into a broader theory of economic resilience: the institutional capacity to stabilize demand, protect households, prevent financial collapse, support recovery, and prepare for future shocks.

Recessions are often described through output, employment, income, and financial indicators. But they are also lived events. They appear as lost jobs, delayed medical care, closed small businesses, depleted savings, evictions, food insecurity, public-budget stress, postponed education, weakened local institutions, and long-term scarring for young workers entering the labor market at the wrong moment. For this reason, economic resilience cannot be reduced to the speed of GDP recovery alone. It must be measured by how well an economy protects human capability during disruption.

What Economic Resilience Means

Economic resilience describes the capacity of an economy to withstand, adapt to, and recover from shocks without allowing temporary disruption to become long-term social damage. A resilient economy does not avoid every downturn. No complex economic system can eliminate all risk. Instead, resilience concerns how shocks are absorbed, how quickly stabilizing mechanisms activate, how evenly burdens are distributed, and whether recovery restores broad-based wellbeing rather than merely reviving aggregate output.

Economic resilience operates at several levels at once. At the household level, resilience depends on income security, savings, social protection, debt burdens, housing stability, health coverage, and access to essential services. At the firm level, it depends on cash flow, credit access, supply-chain flexibility, demand conditions, and the ability to retain workers during temporary disruption. At the public level, it depends on fiscal capacity, monetary institutions, automatic stabilizers, financial regulation, public investment, and institutional trust.

At the macroeconomic level, resilience can be understood as the ability to prevent shocks from turning into cumulative collapse. When demand falls, resilient systems keep income flowing. When unemployment rises, they protect workers and preserve labor-market attachment. When credit tightens, they prevent solvent firms from failing unnecessarily. When uncertainty rises, they provide credible public direction. When recovery begins, they ensure that gains reach households and communities that suffered the most.

The concept is especially important because recessions do not harm everyone equally. Workers with lower wages, limited savings, insecure employment, disabilities, caregiving responsibilities, precarious immigration status, or historically marginalized social positions often experience the deepest and longest damage. Small firms, rural communities, deindustrialized regions, and undercapitalized neighborhoods may also face slower recovery than aggregate national indicators suggest. A serious theory of economic resilience must therefore examine both macroeconomic stabilization and unequal vulnerability.

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Why Recessions Occur

A recession is a broad contraction in economic activity. It usually involves falling output, weaker employment, declining income growth, reduced spending, lower investment, and deteriorating expectations. In the United States, the National Bureau of Economic Research identifies business-cycle peaks and troughs by examining a range of indicators rather than relying only on the familiar rule of two consecutive quarters of falling GDP.

Recessions can begin in many ways. A financial crisis may destroy credit confidence. A pandemic may interrupt production and consumption. A collapse in housing or asset prices may reduce household wealth and lending quality. A sharp rise in interest rates may slow investment and durable-goods spending. A geopolitical shock may disrupt energy, trade, food systems, or supply chains. A government may impose austerity too quickly. A speculative boom may end in deleveraging. A fragile economy may be pushed into contraction by a shock that a stronger economy could have absorbed.

Although the triggers differ, many recessions share a common pattern: spending falls, production declines, employment weakens, incomes fall, and the decline in incomes causes additional reductions in spending. This circular process can turn an initial shock into a wider contraction.

The circular-flow logic is simple but powerful. One person’s spending is another person’s income. A household’s purchase becomes a firm’s revenue. A firm’s payroll becomes a worker’s income. A worker’s income becomes spending at other firms. When confidence falls and spending is postponed, this chain weakens. Firms cut hours or jobs. Workers lose income. Households reduce consumption. Firms see weaker demand and cut further. What begins as caution can become recession.

This is why economic resilience requires more than individual prudence. If every household and firm tries to reduce spending at the same time, the private act of caution becomes a collective contraction. A household may be acting responsibly by saving more during uncertainty. A firm may be acting responsibly by reducing investment when sales fall. But when many actors do this simultaneously, the economy can experience a demand collapse.

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Keynes, Demand, and Involuntary Unemployment

John Maynard Keynes’s central contribution was to challenge the view that market economies automatically return to full employment through flexible prices and wages. Classical economic reasoning often assumed that if unemployment appeared, wages would fall, labor would become cheaper, firms would hire more workers, and the labor market would clear.

Keynes argued that this adjustment mechanism could fail. Wages are not perfectly flexible. They are shaped by contracts, norms, bargaining systems, minimum standards, morale, fairness expectations, debt obligations, and institutional arrangements. Even where wages do fall, lower wages may reduce household income and weaken consumer demand, making firms less eager to hire. The problem is not only the wage level. It is the level of demand for what workers produce.

Keynes described this as a situation of involuntary unemployment. Workers may be willing and able to work at prevailing wages, yet firms may not hire them because demand for goods and services is too weak. Labor remains unused not because society lacks needs, skills, or productive capacity, but because the monetary economy fails to translate potential production into effective demand.

This insight remains central to recession analysis. During a downturn, unemployment does not necessarily mean that workers have become less productive or that the economy’s real needs have disappeared. It may mean that spending, investment, credit, and expectations have contracted in ways that leave productive resources idle.

Keynes also understood that economic expectations are unstable. Investment depends not only on interest rates and current profits but also on expectations about the future. When firms expect weak demand, they delay investment. When households fear unemployment, they reduce spending. When lenders fear default, they restrict credit. These decisions may be individually rational but collectively destabilizing.

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Aggregate Demand and Output Gaps

Aggregate demand is total planned spending in the economy. In a simplified open-economy framework, it is often expressed as consumption, investment, government spending, and net exports:

When aggregate demand falls below the economy’s productive capacity, an output gap opens. The economy could produce more, but firms do not expand because they cannot sell enough output profitably. Workers could work more, but firms do not hire because expected sales are weak. Public infrastructure may need repair, families may need housing, communities may need care services, and firms may have unused capacity, yet the economy still operates below potential.

In the Keynesian tradition, recessions can therefore be understood as coordination failures in demand. The economy has productive capacity, but spending is too weak to employ that capacity fully. Recovery requires either private demand to revive, public demand to offset the shortfall, monetary policy to support credit and spending, or some combination of these forces.

This framework does not imply that all recessions are identical. Some are driven by demand collapse, some by financial crisis, some by supply disruption, and many by interactions among demand, supply, credit, confidence, and policy. But it does explain why a downturn can persist even when workers and capital remain available. The obstacle is not only real productive capacity. It is the ability of the economic system to coordinate spending, income, credit, and employment.

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Expectations, Confidence, and Feedback Loops

Economic systems are shaped by expectations. Firms invest because they expect future demand. Households borrow because they expect future income. Banks lend because they expect repayment. Governments issue debt because markets expect public institutions to remain credible. When expectations shift sharply, the economy can move from expansion to contraction even before physical productive capacity changes.

Expectations matter because modern economies are forward-looking systems. A factory is built for future sales. A worker is hired for expected demand. A home is purchased based on expected income. A bank loan is extended based on expected cash flow. When uncertainty rises, actors across the economy may delay commitments. Investment slows. Hiring pauses. Durable purchases are postponed. Credit standards tighten. Inventories are reduced. These decisions can lower actual income, confirming the pessimism that motivated them.

This self-reinforcing structure is one reason recessions can deepen quickly. Falling sales lead firms to cut production. Production cuts lead to layoffs. Layoffs reduce household income. Lower household income reduces consumption. Lower consumption reduces sales further. Economic resilience depends on interrupting this feedback loop before it produces deeper social and institutional damage.

Confidence should not be treated as mere psychology. It is connected to material conditions. Workers are more confident when jobs are secure, wages are stable, benefits are reliable, and public services function. Firms are more confident when demand is predictable, credit is available, supply chains are reliable, and policy is credible. Financial institutions are more confident when balance sheets are transparent, regulation is credible, and public authorities can act decisively in crisis.

The recovery process therefore involves both material stabilization and expectation repair. Governments may support incomes, central banks may stabilize financial conditions, regulators may prevent panic, and public institutions may communicate credible plans. Recovery begins not only when indicators improve, but when households, firms, lenders, and public agencies believe that ordinary economic commitments can safely resume.

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Financial Fragility and Recession Dynamics

Financial systems can amplify recessions. Credit allows households to buy homes, firms to invest, governments to finance public goods, and economies to expand productive capacity. But credit also creates obligations. When incomes fall, debts become harder to service. Defaults rise. Asset prices may fall. Banks and lenders become more cautious. Credit tightens. Investment and consumption fall further.

This is why financial crises often produce severe and prolonged recessions. A demand slowdown can be painful, but a demand slowdown combined with financial instability can become systemic. If banks weaken, credit intermediation breaks down. If households are overleveraged, they may cut spending for years to repair balance sheets. If firms cannot refinance debt, otherwise viable businesses may fail. If governments respond with premature austerity, public demand may contract just when private demand is weak.

Economic resilience therefore requires financial resilience. This includes prudent regulation, capital buffers, liquidity support, macroprudential oversight, consumer protection, anti-fraud enforcement, and crisis-response institutions. It also requires attention to who bears risk. When financial systems privatize gains during booms and socialize losses during crises, they can weaken democratic legitimacy and deepen inequality.

Resilient financial systems support productive investment without allowing speculative fragility to dominate the real economy. They provide credit to households and firms, but they do not depend on permanent asset-price inflation. They allow risk-taking, but they limit contagion. They support innovation, but they do not treat public rescue as an implicit subsidy for reckless leverage.

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How Economies Recover

Economic recovery is the process by which output, employment, income, credit, confidence, and investment return after a downturn. Recovery can be fast or slow, inclusive or unequal, durable or fragile. A technical recovery may begin when GDP stops falling. A social recovery may take much longer, especially for workers who remain unemployed, households that accumulated debt, communities that lost businesses, or young people whose early career paths were disrupted.

Recovery usually involves several overlapping mechanisms. First, inventories adjust. Firms that cut production during a downturn eventually need to restock if demand stabilizes. Second, households may resume spending if employment and income expectations improve. Third, lower interest rates may encourage borrowing and investment, though this depends on credit conditions and confidence. Fourth, fiscal support may raise demand directly through public spending, transfers, tax relief, or investment. Fifth, financial stabilization may prevent panic and reopen credit channels.

Recovery also depends on the composition of demand. A recovery led only by asset prices may benefit wealthier households while leaving workers insecure. A recovery led only by low-wage job growth may reduce unemployment while leaving living standards fragile. A recovery driven by public investment, broad wage growth, household balance-sheet repair, and productive capacity building is more likely to strengthen resilience.

The quality of recovery matters because recessions can leave scars. Long-term unemployment can reduce skills, health, earnings, and labor-force attachment. Business failures can destroy local economic networks. Public austerity can weaken schools, infrastructure, health systems, and administrative capacity. Children growing up in households affected by recession may experience long-term educational and health consequences. A resilient recovery therefore aims not only to restart growth, but to prevent temporary shocks from producing permanent deprivation.

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Automatic Stabilizers and Public Capacity

Automatic stabilizers are public-policy mechanisms that support demand without requiring new legislation each time a downturn begins. Unemployment insurance, progressive taxation, nutrition assistance, public health coverage, and income-support systems can automatically expand or become more important when households lose income. By sustaining purchasing power, they reduce the depth of recessions and protect people from immediate hardship.

Automatic stabilizers are economically important because they act quickly. In a downturn, legislative delays can be costly. If households lose income and support arrives too late, debt, eviction, hunger, business closures, and health damage may already have accumulated. Automatic stabilizers reduce this lag by linking support to changing economic conditions.

They are also morally important. Economic downturns are not simply statistical events. They expose people to real harm. Public systems that stabilize income, food access, healthcare, housing, and local services help protect human dignity when market income fails. This is one reason economic resilience belongs within a broader theory of sustainable development and public responsibility.

Public capacity determines whether stabilizers function well. A policy that exists on paper may fail if administrative systems are outdated, eligibility rules are punitive, application processes are burdensome, or benefits are insufficient. Resilience depends not only on policy design but also on delivery capacity, data systems, trust, staffing, funding, and institutional legitimacy.

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Monetary Policy and Credit Conditions

Monetary policy influences recession and recovery by shaping interest rates, liquidity, credit conditions, inflation expectations, and financial-market functioning. Central banks may lower policy rates, conduct open-market operations, provide emergency liquidity, purchase assets, or use forward guidance to influence expectations.

Lower interest rates can support recovery by reducing borrowing costs for households and firms. Mortgage refinancing may raise disposable income. Business loans may become cheaper. Investment projects may become more attractive. Asset prices may stabilize, improving balance sheets. But monetary policy is not always sufficient. If households are overindebted, firms are pessimistic, banks are impaired, or interest rates are already near effective lower bounds, cheaper credit may not generate enough spending.

This is one reason monetary and fiscal policy often interact during severe downturns. Monetary policy can support financial conditions, but fiscal policy can inject demand directly. A central bank can make credit cheaper, but it cannot by itself ensure that unemployed workers receive income, that state and local governments maintain services, or that public investment continues during a collapse in private demand.

Central banks also face trade-offs. If inflation is high, easing policy may worsen price pressures. If unemployment is high but inflation expectations are unstable, policymakers may confront difficult choices. Resilience requires institutions capable of navigating these trade-offs transparently, with attention to employment, price stability, financial stability, and distributional consequences.

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Fiscal Policy and Demand Support

Fiscal policy supports recovery through public spending, transfers, tax policy, public investment, and intergovernmental aid. When private demand collapses, governments can sustain demand directly by purchasing goods and services, funding infrastructure, supporting household income, protecting public employment, and aiding local governments.

The Keynesian case for fiscal policy is strongest when the economy has idle resources. If workers are unemployed, factories are underused, and demand is weak, public spending can mobilize resources that would otherwise remain idle. The purpose is not simply to increase government activity for its own sake. It is to restore economic circulation, prevent avoidable hardship, preserve productive capacity, and support recovery.

The design of fiscal policy matters. Spending that reaches liquidity-constrained households may have a strong stabilizing effect because those households are likely to spend additional income on necessities. Aid to state and local governments can prevent layoffs of teachers, healthcare workers, transit employees, and public servants. Infrastructure investment can support employment while improving long-term productive capacity. Public-health spending can reduce economic disruption when a downturn is connected to disease, environmental hazard, or social crisis.

Fiscal policy also raises legitimate questions about debt, inflation, administrative capacity, and political accountability. A resilient economy must distinguish between wasteful spending and necessary stabilization; between productive public investment and short-term patronage; between sustainable borrowing and fiscal neglect; between premature austerity and prudent long-run budgeting. The key question is not whether governments should always spend more. It is whether public finance is capable of acting counter-cyclically, protecting human capability, and investing in the conditions of future prosperity.

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Measuring Economic Resilience

Economic resilience can be measured through several dimensions. No single indicator is sufficient. GDP may recover while unemployment remains elevated. Stock markets may recover while household debt remains burdensome. Inflation may stabilize while local public services deteriorate. A serious resilience dashboard should combine output, employment, income, distribution, credit, public capacity, and recovery-speed indicators.

Resilience analysis should also distinguish between resistance, absorption, adaptation, and transformation. Resistance means limiting the initial damage from a shock. Absorption means preventing collapse while the shock unfolds. Adaptation means changing behavior, policy, or institutions in response to new conditions. Transformation means rebuilding the system so that future shocks do less harm.

For example, unemployment insurance helps absorb income shocks. Financial regulation can reduce the likelihood that credit booms become crises. Public investment can transform long-term resilience by strengthening infrastructure, education, health systems, and clean-energy capacity. Labor protections can reduce household vulnerability. Data systems can improve early warning. Each mechanism contributes differently to economic resilience.

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Python Workflow: Economic Resilience Indicators

The companion code for this article should begin with a simple Python workflow that downloads or reads public economic time series, calculates recession-relevant indicators, and exports reproducible outputs. Python is especially useful for data pipelines, indicator construction, charts, and repeatable article workflows.

The following example is designed as an article-level workflow. It uses public FRED CSV endpoints for common macroeconomic indicators, calculates basic changes, and prepares a combined dataset for recession and recovery analysis.

# python/economic_resilience_workflow.py
#
# Purpose:
# Build a basic economic resilience indicator dataset using public FRED CSV files.
# This script is intentionally simple so it can be adapted for article companions.

from pathlib import Path
import pandas as pd

BASE_DIR = Path(__file__).resolve().parents[1]
DATA_DIR = BASE_DIR / "data"
OUTPUT_DIR = BASE_DIR / "outputs"

DATA_DIR.mkdir(parents=True, exist_ok=True)
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)

SERIES = {
    "UNRATE": "unemployment_rate",
    "GDPC1": "real_gdp",
    "FEDFUNDS": "federal_funds_rate",
    "USREC": "recession_indicator"
}

def read_fred_csv(series_id: str, value_name: str) -> pd.DataFrame:
    url = f"https://fred.stlouisfed.org/graph/fredgraph.csv?id={series_id}"
    df = pd.read_csv(url)
    df.columns = ["date", value_name]
    df["date"] = pd.to_datetime(df["date"])
    df[value_name] = pd.to_numeric(df[value_name], errors="coerce")
    return df

def main() -> None:
    frames = [
        read_fred_csv(series_id, value_name)
        for series_id, value_name in SERIES.items()
    ]

    combined = frames[0]
    for frame in frames[1:]:
        combined = combined.merge(frame, on="date", how="outer")

    combined = combined.sort_values("date")

    # Quarterly real GDP growth, annualized approximation from quarterly percent change.
    combined["real_gdp_growth_annualized"] = (
        combined["real_gdp"].pct_change() * 400
    )

    # A simple unemployment stress measure: change from 12-month rolling low.
    combined["unemployment_12m_low"] = (
        combined["unemployment_rate"].rolling(window=12, min_periods=3).min()
    )
    combined["unemployment_gap_from_12m_low"] = (
        combined["unemployment_rate"] - combined["unemployment_12m_low"]
    )

    # Export full dataset.
    output_file = OUTPUT_DIR / "economic_resilience_indicators.csv"
    combined.to_csv(output_file, index=False)

    # Export a recent snapshot for article tables.
    recent = combined.dropna(subset=["unemployment_rate"]).tail(24)
    recent.to_csv(OUTPUT_DIR / "recent_resilience_snapshot.csv", index=False)

    print(f"Saved: {output_file}")

if __name__ == "__main__":
    main()

This script does not attempt to predict recessions. Instead, it creates a transparent, reproducible starting point for asking resilience questions: how unemployment changes during downturns, how output growth behaves around recessions, how monetary-policy conditions shift, and how long recovery takes after recession indicators turn off.

For future articles, this workflow can be extended with measures of real wages, poverty, household debt, credit spreads, sectoral employment, state-level unemployment, public spending, inflation, and inequality. The purpose is to make each article analytically traceable: readers should be able to see how the data behind the argument was assembled.

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R Workflow: Recession and Recovery Analysis

R is especially useful for statistical analysis, econometrics, and clean visualization. The companion R workflow can read the Python-generated dataset, summarize recession and expansion periods, and produce basic plots or tables for the article.

# r/economic_resilience_workflow.R
#
# Purpose:
# Read the article-level economic resilience dataset and create summary outputs.
# This workflow complements the Python data pipeline with R-based analysis.

library(readr)
library(dplyr)
library(ggplot2)

base_dir <- normalizePath(file.path(dirname(sys.frame(1)$ofile), ".."))
data_path <- file.path(base_dir, "outputs", "economic_resilience_indicators.csv")
output_dir <- file.path(base_dir, "outputs")

df <- read_csv(data_path, show_col_types = FALSE) |>
  mutate(
    date = as.Date(date),
    recession = recession_indicator == 1
  )

summary_table <- df |>
  filter(!is.na(unemployment_rate)) |>
  group_by(recession) |>
  summarise(
    observations = n(),
    avg_unemployment = mean(unemployment_rate, na.rm = TRUE),
    avg_fed_funds_rate = mean(federal_funds_rate, na.rm = TRUE),
    avg_gdp_growth = mean(real_gdp_growth_annualized, na.rm = TRUE),
    .groups = "drop"
  )

write_csv(summary_table, file.path(output_dir, "recession_summary_table.csv"))

unemployment_plot <- ggplot(df, aes(x = date, y = unemployment_rate)) +
  geom_line(linewidth = 0.7) +
  labs(
    title = "Unemployment and Economic Resilience",
    subtitle = "Labor-market stress rises when demand, production, and confidence weaken.",
    x = NULL,
    y = "Unemployment rate (%)"
  ) +
  theme_minimal()

ggsave(
  filename = file.path(output_dir, "unemployment_resilience_plot.png"),
  plot = unemployment_plot,
  width = 9,
  height = 5,
  dpi = 300
)

print(summary_table)

The R workflow makes the article more than a conceptual explanation. It creates a reproducible bridge between macroeconomic theory and empirical observation. Readers can inspect whether unemployment behaves differently during recession periods, how output growth changes, and how policy conditions vary across phases of the business cycle.

Future R extensions can include regression models, distributed-lag relationships, regional comparisons, event studies, Phillips-curve examples, inequality analysis, and recovery-speed metrics. R is also useful for producing publication-quality figures that can be exported into the article or repository documentation.

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GitHub Research Stack

The companion GitHub folder for this article should standardize around five languages: Python, R, Stata, SQL, and Julia. Each language serves a distinct research purpose within the Economic Systems series.

For this first article, Python and R provide the visible article workflows because they are the most accessible starting points for readers. The repository should still include Stata, SQL, and Julia folders so the full Economic Systems stack is present from the beginning. Stata can support applied econometric replication. SQL can define a transparent indicator schema. Julia can support future dynamic models of recession, recovery, and resilience.

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Related Reading

• Economic Systems
• Risk & Resilience
• Institutions & Governance
• Sustainable Development

Further Reading

• Blanchard, O. (2021). Macroeconomics. 8th edn. Pearson.
• Mankiw, N. G. (2024). Principles of Economics. 10th edn. Cengage.
• Romer, D. (2019). Advanced Macroeconomics. 5th edn. McGraw-Hill.
• Stiglitz, J. E. (2010). Freefall: America, Free Markets, and the Sinking of the World Economy. New York: W. W. Norton.
• Bernanke, B. S. (2018). The Real Effects of Disrupted Credit: Evidence from the Global Financial Crisis. Brookings Papers on Economic Activity. Available at: https://www.brookings.edu/wp-content/uploads/2018/09/BPEA_Fall2018_The-real-effects-of-the-financial-crisis.pdf
• Yellen, J. L. (2016). Macroeconomic Research After the Crisis. Board of Governors of the Federal Reserve System. Available at: https://www.federalreserve.gov/newsevents/speech/yellen20161014a.htm

References

• Federal Reserve Board. (n.d.). Federal Open Market Committee. Available at: https://www.federalreserve.gov/monetarypolicy/fomc.htm
• Federal Reserve Bank of St. Louis. (n.d.). FRED Economic Data. Available at: https://fred.stlouisfed.org/
• Federal Reserve Bank of St. Louis. (n.d.). NBER based Recession Indicators for the United States from the Peak through the Trough. Available at: https://fred.stlouisfed.org/series/USREC
• International Monetary Fund. (2014). What Is Keynesian Economics? Finance & Development: Back to Basics. Available at: https://www.imf.org/external/pubs/ft/fandd/2014/09/basics.htm
• Keynes, J. M. (1936). The General Theory of Employment, Interest and Money. London: Macmillan.
• National Bureau of Economic Research. (n.d.). Business Cycle Dating. Available at: https://www.nber.org/research/business-cycle-dating
• National Bureau of Economic Research. (2023). US Business Cycle Expansions and Contractions. Available at: https://www.nber.org/research/data/us-business-cycle-expansions-and-contractions
• Sahm, C. (2019). Direct Stimulus Payments to Individuals. In Boushey, H., Nunn, R. and Shambaugh, J. (eds), Recession Ready: Fiscal Policies to Stabilize the American Economy. Washington, DC: Brookings Institution. Available at: https://www.brookings.edu/wp-content/uploads/2019/05/ES_THP_Fiscal-Stabilizers_web_20190513.pdf