focalinterest.net

Tag: Macroeconomics & Monetary Policy

  • REER changes did not significantly affect EU trade balances

    What the study found

    The study found that real effective exchange rate, or REER, appreciations and depreciations did not have a statistically significant effect on trade balances in the EU sample. Instead, domestic absorption, especially consumption and investment, was associated with large and robust negative effects.

    Why the authors say this matters

    The authors conclude that external adjustment policies in the EU should focus on domestic demand management, structural competitiveness, and inflation discipline rather than relying on REER movements. The study suggests that exchange-rate-led adjustment is not empirically relevant in this highly integrated monetary union.

    What the researchers tested

    The researchers analyzed annual panel data for 20 EU countries from 2000 to 2024. They used fixed-effects and dynamic system generalized method of moments estimators within elasticity-based and absorption-based adjustment frameworks, while explicitly controlling for domestic absorption.

    What worked and what didn't

    REER appreciations and depreciations did not show statistically significant effects on trade balances. Domestic absorption, particularly consumption and investment, showed large and robust negative effects, and inflation had a weak but consistently adverse influence; structural features also appeared to condition any potential price-based adjustment.

    What to keep in mind

    The abstract notes that aggregate panel data may hide country-specific or sector-specific adjustment mechanisms and heterogeneous structural shocks. No other limitations are described in the available summary.

    • REER appreciations and depreciations were not statistically significant predictors of trade balances.
    • Domestic absorption had strong negative associations with trade balances, especially consumption and investment.
    • Inflation had a weak but consistently adverse influence on trade balances.
    • The study used annual panel data from 20 EU countries covering 2000 to 2024.
    • The authors argue that EU adjustment policy should prioritize demand management, competitiveness, and inflation discipline.

  • Unfunded fiscal shocks were not Japan’s main inflation driver

    What the study found

    The study finds that, in Japan, unfunded fiscal shocks were not the main drivers of inflation over the past four decades. Instead, real demand and supply shocks, together with accommodative monetary policy, appear to have mattered more.

    Why the authors say this matters

    The authors conclude that Japan differs from the U.S. case in how fiscal factors relate to inflation. The findings indicate that understanding Japan's inflation dynamics requires attention to demand, supply, and monetary policy, not only fiscal expansion.

    What the researchers tested

    The researchers investigated how fiscal factors may have contributed to inflation in Japan over the past four decades. They estimated a medium-scale dynamic stochastic general equilibrium (DSGE) model, a macroeconomic model that uses random shocks to study the economy, developed by Bianchi et al., using Japanese data.

    What worked and what didn't

    The model-based analysis suggests that unfunded fiscal shocks did not play the dominant role in Japan's inflation outcomes. Real demand shocks, supply shocks, and accommodative monetary policy were estimated to have played more significant roles in shaping inflation dynamics.

    What to keep in mind

    The abstract does not describe detailed limitations beyond the scope of the study. The findings are based on a specific model and Japanese data over roughly four decades, so the summary here is limited to that setting.

    • The study finds that unfunded fiscal shocks were not the main drivers of inflation in Japan.
    • Real demand shocks, supply shocks, and accommodative monetary policy were more important in the model results.
    • The analysis covers Japan over the past four decades.
    • The researchers used a medium-scale DSGE model estimated with Japanese data.
    • The authors say Japan's inflation experience differs from the U.S. case.

  • Inflation gaps grow in sticky-price models

    What the study found

    The study finds that, in standard new Keynesian models, the gap between measured inflation in fixed-weight price indices and true inflation becomes larger when inflation rises rapidly. The gap also increases with greater price stickiness and a higher elasticity of substitution across goods, which is a measure of how easily consumers switch between products.

    Why the authors say this matters

    The authors suggest this matters because inflation measures like the consumer price index may differ substantially from true price indices under some conditions. They conclude that these differences can be large and persistent for inflation increases similar to those seen in the United States after 2020.

    What the researchers tested

    The researchers built model-based inflation measures in time-dependent pricing models and compared them with inflation measures analogous to those used in data. They focused on a standard new Keynesian model and examined how the differences changed with inflation speed, price stickiness, and the elasticity of substitution across goods.

    What worked and what didn't

    The model shows larger differences between fixed-weight price indices and true price indices when inflation increases rapidly. These differences are reported to be increasing in price stickiness and in the elasticity of substitution across goods, and they are described as large and persistent for parameter values commonly used in the literature.

    What to keep in mind

    The abstract describes model-based results rather than a test using new data. It does not provide numerical estimates in the summary, and it does not discuss limitations beyond the model setting and parameter assumptions.

    • Fixed-weight price indices and true price indices can diverge when inflation rises quickly.
    • The divergence is larger when prices are stickier.
    • The divergence is also larger when substitution across goods is easier.
    • For commonly used parameter values, the differences are described as large and persistent.
    • The abstract links the result to inflation increases similar to those seen in the U.S. after 2020.

  • Detailed model deduction for the Tennessee-Eastman benchmark plant

    What the study found

    The study presents a detailed deduction of the Tennessee-Eastman benchmark process model and shows how a phenomenological-based semi-physical model can represent it. The authors report that the model could simulate the plant's four fundamental operating modes and align with steady-state values reported in prior work.

    Why the authors say this matters

    The authors say the work makes the assumptions in the original Tennessee-Eastman model statement more explicit and provides additional parameter values that were not previously available. They conclude that this gives other researchers a way to simulate the plant's operating modes more readily.

    What the researchers tested

    The researchers derived equations separately for each major part of the plant: the reactor, condenser-flash separator, stripping tower, and mixing point. They then combined these equations into a final integrated model and used it in simulation, including tests of responses to disturbances and discussion of initial conditions.

    What worked and what didn't

    The model was feasible to simulate in all four fundamental operating modes, and the steady-state values matched those documented in earlier research. The abstract does not describe specific failures or cases where the model did not work.

    What to keep in mind

    The available summary does not give detailed quantitative performance measures beyond alignment with prior steady-state values. It also does not describe limitations of the model or the simulation results in detail.

    • The paper reconstructs the Tennessee-Eastman benchmark process as a phenomenological-based semi-physical model.
    • Equations were derived separately for the reactor, condenser-flash separator, stripping tower, and mixing point.
    • The model could simulate the four fundamental operating modes of the plant.
    • The simulated steady-state values matched those reported in previous research.
    • The authors report additional parameter values that had not previously been available in the literature.

  • Monetary policy effects on inflation strengthened as the Phillips curve flattened

    What the study found

    The study found that the effects of U.S. monetary policy on inflation have strengthened over time, while the Phillips curve—a relationship linking inflation and economic slack—flattened over much of the pre-pandemic period. It also found that short- to long-horizon inflation expectations became less connected, which the authors describe as consistent with more firmly anchored expectations and improved policy credibility.

    Why the authors say this matters

    The authors conclude that these findings matter because they suggest the transmission of U.S. monetary policy has changed since inflation targeting began. They also suggest that Phillips curve dynamics are regime dependent, meaning the relationship can vary across periods, including the post-pandemic inflation surge.

    What the researchers tested

    The researchers used a machine learning framework to study how U.S. monetary policy transmission has changed over time since inflation targeting. They estimated time-varying parameter local projections using ridge regression, which is a regression method that helps handle many related parameters, and they accounted for heteroskedasticity, meaning changing variability across parameters.

    What worked and what didn't

    Their approach captured gradual shifts in macroeconomic relationships. The results showed stronger time-varying effects of monetary policy on inflation and a flatter Phillips curve over much of the pre-pandemic period, along with diminished pass-through from short- to long-horizon inflation expectations. They also documented a temporary steepening of the Phillips curve during the post-pandemic inflation surge.

    What to keep in mind

    The abstract does not describe specific data limits or other caveats beyond the fact that the analysis is centered on the U.S. and the period since inflation targeting. It also does not provide details on robustness checks or alternative explanations.

    • The study found stronger effects of U.S. monetary policy on inflation over time.
    • The Phillips curve was flatter over much of the pre-pandemic period.
    • Inflation expectations became less connected from short to long horizons.
    • A temporary steepening of the Phillips curve appeared during the post-pandemic inflation surge.
    • The authors say the findings suggest Phillips curve dynamics depend on the regime or period.

  • Yield curve slope and curvature predict growth in some countries

    What the study found

    The study found that yield curve slope and curvature can help predict future economic growth in Central and Eastern European countries and developed countries. It also found that these yield curve factors give only limited and unstable signals for forecasting inflation.

    Why the authors say this matters

    The authors suggest that the yield curve can contain useful information about future economic activity, especially where monetary policy credibility is lower. They also conclude that the predictive value depends on country conditions, while economic stability does not materially affect forecasting performance.

    What the researchers tested

    The researchers studied 40 countries from 2010 to 2021, including developed, Central and Eastern European, and emerging markets. They extracted unobservable yield curve factors from sovereign yield curves — the level, slope, and curvature — and used the slope and curvature in panel regressions to predict economic growth and inflation. They also tested out-of-sample forecasting accuracy with panel forecasting techniques and econometric tests.

    What worked and what didn't

    Slope and curvature showed predictive power for economic growth in Central and Eastern European countries and developed countries. In emerging markets, the yield curve factors were related to expectations about future growth and inflation, but their out-of-sample forecasting performance was limited. For inflation, the yield curve factors provided only limited and unstable forecasting signals.

    What to keep in mind

    The abstract does not provide detailed limitations beyond noting that forecasting performance was limited in emerging markets and unstable for inflation. The study’s findings are based on country groups over 2010–2021 and on sovereign yield curves.

    • Slope and curvature of the yield curve predicted future economic growth in developed and Central and Eastern European countries.
    • Emerging markets showed some relationship between yield curve factors and expectations, but weak out-of-sample forecasting performance.
    • Lower monetary policy credibility was associated with stronger predictive relationships for future growth.
    • Economic stability did not materially affect forecasting performance.
    • Inflation forecasting signals from yield curve factors were limited and unstable.

  • Tunisia study links inflation volatility to fiscal coordination and transparency

    What the study found

    The study finds that central bank independence (CBI) by itself has no significant effect on inflation volatility in Tunisia when measured continuously. It also finds that higher legal independence can slightly increase inflation fluctuations in a binary regime, while fiscal pressure and credible fiscal coordination change this pattern.

    Why the authors say this matters

    The authors conclude that legal independence alone is insufficient without fiscal discipline or coordination between monetary and fiscal authorities. They also suggest that economic transparency and a coherent macroeconomic framework matter for how well monetary institutions can support inflation stability.

    What the researchers tested

    The paper examines determinants of inflation volatility in Tunisia, focusing on central bank independence, economic transparency, and macroeconomic fundamentals. The authors first develop a game-theory-based theoretical framework and then apply a binary threshold nonlinear autoregressive distributed lag (NARDL) model and a Markov-switching GARCH (MS-GARCH) model to study long-run relationships and volatility dynamics.

    What worked and what didn't

    As a continuous measure, CBI was not significantly related to volatility. In a binary regime, high de jure independence was associated with a slight increase in inflation fluctuations, but under fiscal pressure greater CBI substantially reduced inflation volatility. Economic transparency generally increased short-term volatility but helped stabilize inflation when supported by credible fiscal signals.

    What to keep in mind

    The abstract does not describe the full data period, sample details, or additional robustness checks. The results are specific to Tunisia and to the methods and variables named in the abstract.

    • Central bank independence alone had no significant effect on inflation volatility when measured continuously.
    • High legal independence in a binary regime was linked to a slight increase in inflation fluctuations.
    • Under fiscal pressure, greater central bank independence substantially reduced inflation volatility.
    • Economic transparency generally raised short-term volatility but stabilized inflation with credible fiscal signals.
    • Broad money volatility was strongly destabilizing, while industrial production and the real exchange rate were largely insignificant.

  • Finance and growth show an inverted-U relationship

    What the study found

    The study finds a non-monotonic, inverted-U relationship between financial development and economic growth. Financial development helps growth at first, but beyond a point it can slow technological progress because of congestion in innovation markets.

    Why the authors say this matters

    The authors conclude that the growth-finance relationship is shaped by both a positive finance channel and a negative congestion channel. They also suggest that excessive financial development can slow technological progress.

    What the researchers tested

    The researchers studied an endogenous growth model, meaning a model in which growth is determined within the economy rather than taken as given. The model includes search frictions, which are difficulties in matching firms with credit and innovation opportunities, and congestion effects in credit and innovation markets.

    What worked and what didn't

    The interaction of the two frictions generated a hump-shaped pattern between financial development and growth. The positive effect from easier access to funding was offset by a negative congestion effect as more firms entered research and development competition for scarce innovation resources. The mechanism remained robust when firm heterogeneity was added, and a calibration close to the U.S. economy gave a negative but quantitatively small effect of finance on growth.

    What to keep in mind

    The abstract reports results from a model and a calibration close to the U.S. economy, so the findings are not presented as a direct empirical estimate. The available summary does not describe additional limitations beyond the model setting.

    • The study finds an inverted-U relationship between financial development and growth.
    • Financial development has a positive funding effect and a negative congestion effect.
    • Greater financial activity can draw more firms into research and development competition for scarce innovation resources.
    • The mechanism remains robust when firm heterogeneity is allowed.
    • In a calibration close to the U.S. economy, the finance-growth effect is negative but small.