A mandate framework is proposed for delegating monetary policy to an instrument-independent, but goal-dependent central bank that emphasizes simplicity in both the objectives entering the welfare criterion and those in the instrument rule. It consists of: (i) a simple quadratic loss function penalizing deviations from target variables; (ii) a welfare-optimized, Taylor-type log-linear nominal interest-rate rule with targets that match those in the loss function; (iii) a zero-lower-bound (ZLB) constraint on the nominal interest rate imposing a low unconditional probability of ZLB episodes; and (iv) a long-run inflation target. In an estimated New Keynesian model with these features, we find that for a quarterly probability of 5%, an optimal annual inflation target is close to 2%, weights for real variables in the loss function are small compared with inflation except for the real wage growth mandate and the optimized rules mimic a price-level rule.

As recent immigration flows are reshaping the host countries workforce composition, this paper aims to assess whether age composition and skill adjustment dynamics play a relevant role in the welfare impact of immigration. To this end, we build and simulate a search and matching model that allows for endogenous natives’ skill acquisition and intergenerational transfers to analyze the welfare effects of immigration on a selected group of 19 OECD countries. The obtained results are then compared with those obtained under different assumptions on age composition and skill adjustment dynamics. Our comparative statics analysis shows that stronger job creation effects take place when natives adjust their skill in response to immigration. Moreover, taking into account age composition plays a key role in assessing the fiscal impact of immigration, which turns out to be positive when we include intergenerational transfers to retirees and immigration is high-skilled. Finally, we find that our model yields more optimistic welfare effects than standard search models that abstract from skill decision and intergenerational redistribution.

Can monetary policy stimulate consumption through inflation expectations? We study how US consumers revise inflation expectations and readiness to spend in response to monetary policy shocks using a structural vector-autoregressive model, where we identify exogenous policy shocks with interest rate surprises around FOMC announcements. Based on survey data, we construct measures of changes in consumers’ readiness to spend conditional on how consumers update their inflation expectations. Expansionary policy shocks tend to increase readiness to spend conditional on higher expected inflation outside the zero lower bound (ZLB), but the effect is small. At the ZLB, consumers increasingly reduce their readiness to spend if they expect higher inflation. Overall, we find only limited evidence suggesting that policy-induced variations in inflation expectations are associated with adjustments that are in line with the predictions of standard macroeconomic models.

This paper empirically and theoretically investigates the relationship between budget balances and external balances, the so-called twin deficit hypothesis. Using the US post-World War II data, I estimate a time-varying structural vector autoregressive model to evaluate the effects of structural breaks on this relationship. The empirical results reveal that the relationship is significantly time varying: (1) an increase in government spending and the consequent budget deficits tend to cause trade deficits in the Bretton Woods era; (2) in contrast, an increase in government spending tends to induce trade surpluses in the post-Bretton Woods era; and (3) with the exceptions of the 1980s and 2010s, government spending shocks cause trade deficits under a floating exchange regime. Using the open economy New Keynesian model with rule-of-thumb consumers, I find that a shift in exchange rate regimes helps in understanding empirical results (1) and (2). Moreover, slowly adjusted taxes inform our comprehension of exceptions in the 1980s, whereas zero lower bound aids our explanation of exceptions in the 2010s.

We contribute to the literature on empirical macroeconomic models with time-varying conditional moments, by introducing a heteroskedastic score-driven model with Student’s t-distributed innovations, named the heteroskedastic score-driven $t$-QVAR (quasi-vector autoregressive) model. The $t$-QVAR model is a robust nonlinear extension of the VARMA (VAR moving average) model. As an illustration, we apply the heteroskedastic $t$-QVAR model to a dynamic stochastic general equilibrium model, for which we estimate Gaussian-ABCD and $t$-ABCD representations. We use data on economic output, inflation, interest rate, government spending, aggregate productivity, and consumption of the USA for the period of 1954 Q3 to 2022 Q1. Due to the robustness of the heteroskedastic $t$-QVAR model, even including the period of the coronavirus disease of 2019 (COVID-19) pandemic and the start of the Russian invasion of Ukraine, we find a superior statistical performance, lower policy-relevant dynamic effects, and a higher estimation precision of the impulse response function for US gross domestic product growth and US inflation rate, for the heteroskedastic score-driven $t$-ABCD representation rather than for the homoskedastic Gaussian-ABCD representation.

We study the transmission mechanism of a Green QE, defined as a policy that tilts the central bank’s balance sheet toward green bonds, that is bonds issued by non-polluting firms. We merge a DSGE framework with an environmental model, in which CO2 emissions increase the stock of atmospheric carbon, which in turn decreases total factor productivity. Imperfect substitutability between green and brown bonds is a necessary condition for the effectiveness of Green QE. However, even under this assumption, the effect of Green QE in reducing emissions is negligible and in some cases close to nil.

In the benchmark New Keynesian (NK) model, I introduce the real cost channel to study government spending multipliers and provide simple Markov chain closed-form solutions. This model departs fundamentally from most previous interpretations of the nominal cost channel by flattening the NK Phillips Curve in liquidity traps. At the zero lower bound, I show analytically that following positive government spending shocks, the real cost channel can make inflation rise less than in a model without this channel. This then causes a smaller drop in real interest rates, resulting in a lower output gap multiplier. Finally, I confirm the robustness of the real cost channel’s effect on multipliers using extensions of two models.

The Mexican economy experienced two large crises: in 1995 and in 2008. The dynamics and origins of the episodes are very different; nevertheless, is there a common underlying mechanism? First, by applying the Business Cycle Accounting method, we find that the efficiency wedge is the main driver of output during both episodes. We present an equivalence between the neoclassical growth model with distortions and a small open economy with imported intermediate goods inputs, in which relative price changes manifest themselves as changes on the efficiency wedge. This result proposes a solution for the theoretical puzzle regarding the relationship between terms of trade shocks and productivity. Finally, the model is able to reproduce both the intensities and velocities of the crises in Mexico.

We estimate elasticities of substitution between components of the Bank of England’s household-sector UK Divisia monetary aggregate using quarterly data from 1999 to 2019, encompassing the period surrounding the global financial crisis. The demand system includes interest-bearing sight and time deposits at monetary financial institutions as components, since deposit data for banks (excluding mutuals) and for mutuals are no longer published separately. We find that the elasticities of substitution that relate to changes in the user cost of noninterest-bearing monetary assets imply inelastic substitution over all or almost all of the sample and, consequently, a conventional monetary aggregate would be a highly misleading economic indicator relative to a Divisia monetary aggregate.

We compare two welfare programs: the universal basic income (UBI) and negative income tax (NIT). Under a linear income tax system, we show that (i) the NIT can replicate the allocation of the UBI exactly by providing an identical marginal effective tax schedule, and (ii) the budget of the NIT is always smaller than that of the UBI. According to our quantitative model, which is calibrated to approximate the income and wealth distributions in the United States, the optimal UBI is to pay everyone 7.2% of the average income. We also show that the NIT can achieve a similar average welfare with a much smaller budget (2.3% of the GDP) by providing a subsidy that is generous to the very poor and quickly phases out as income increases.

The retirement of old workers increased during the COVID-19 pandemic, and health concerns are considered to be a critical factor. To understand the effect of pure health concerns during the pandemic, we analyze the impact of the aggregate health shock on retirement decisions using a life cycle model. The aggregate health shock changes the economy from the normal state to the pandemic state, where the probability of adverse idiosyncratic health shock increases, especially if agents are working. Simulation results suggest that the shock accelerates the retirement of agents aged over 60. The increase in retirement is significant even though the shock is expected to be temporary. Also, the effect hinges on the assumption that working poses a greater risk of receiving a negative health shock than retiring. Even accounting for the large income and wealth changes that US households experienced in 2020, a counterfactual experiment suggests that the aggregate health shock plays a prominent role in increasing retirement.

US output is more strongly correlated with the output of energy-exporting countries than with that of energy-importing countries. I first document this empirical finding, then construct a three-country model in which countries’ different energy production and trade structures are considered. The three countries are the USA (an energy importer), a non-US energy importer, and an energy exporter. Consistent with the empirical findings, the model produces a higher output correlation between the USA and the energy exporter than between the USA and the energy importer. A positive productivity shock in the USA, raising its output, leads to increases in energy prices and its import demand for energy. The increased energy prices adversely influence output in the energy importer, whereas the rise in US energy imports has positive effects on output in the energy exporter, enabling the correlation of US output with the exporter’s output to be higher.

Bad news about future economic developments have larger effects than good news. The result is obtained by means of a simple nonlinear approach based on SVAR and SVARX models. We interpret the asymmetry as arising from the uncertainty surrounding economic events whose effects are not perfectly predictable. Uncertainty generates adverse effects on the economy, amplifying the effects of bad news and mitigating the effects of good news.

This paper deals with the phenomenon of poverty-trap regimes in Mexico, that is, self-reinforcing mechanisms in which municipalities which start poor remain poor. We develop a coordination game of poverty traps driven by strategic interactions of economic agents: people choose to complete or not their education levels since it might be excessively costly and unprofitable. A one-shot game is constructed and then converted into a system of differential equations in which strategies that perform relatively better become more abundant in the population. Applying evolutionary games and symbolic-regimes dynamics (nonparametric and nonlinear techniques), we show that Mexican regions are in poverty-trap regimes (stable and dynamically evolving low-level equilibria) characterized by incomplete education and low income since initial conditions (education and income per capita) are such (very precarious) that poverty is the stable steady-state situation. We examine scenarios to show that to overcome the high-poverty regime by the year 2030, it is necessary to reduce incomplete education by 10% in the 5-year periods 2020–2025 and 2025–2030 and increase per-capita income by 10% in both periods.

Based on a multisector general equilibrium framework, we show that the sectoral elasticity of substitution plays the key role in the evolution of asymmetric tails of macroeconomic fluctuations and the establishment of robustness against productivity shocks. A non-unitary elasticity of substitution renders a nonlinear Domar aggregation, where normal sectoral productivity shocks translate into non-normal aggregated shocks with variable expected output growth. We empirically estimate 100 sectoral elasticities of substitution, using the time-series linked input-output tables for Japan and find that the production economy is elastic overall, relative to a Cobb-Douglas economy with unitary elasticity. In addition to the previous assessment of an inelastic production economy for the USA, the contrasting tail asymmetry of the distribution of aggregated shocks between the USA and Japan is explained. Moreover, the robustness of an economy is assessed by expected output growth, the level of which is led by the sectoral elasticities of substitution under zero-mean productivity shocks.

We endogenize the R&D financial structure and investigate the effects of tax policy (dividend, corporate, and bond income taxes). Agency costs exist between the supply of and demand for funding, which enable the financial market to reshuffle loanable funds out of less productive firms toward others with greater productivity. We show that the financial structure-growth relationship is not monotonic, depending on the relative productivity between the existing and new firms and the allocation of loanable funds between them. The allocation of loanable funds, rather than their market amount, plays a key role in determining the effects of policy.

This paper investigates how responses of US macroeconomic activities to monetary policy shocks depend on the state of broker–dealer leverage. The analysis makes use of leverage data to create an indicator series that distinguishes above and below-trend leverage states for the economy which is then integrated into switching econometric models. Using state-dependent local projection methods, we find that during the below-trend leverage state, monetary policy affects the economy in a traditional fashion. However, during the above-trend leverage state, expansionary monetary policy is problematic for stimulating the economy. Additionally, during the above-trend leverage state, we find that a policy rate cut raises counterparty risks in financial markets, which in part accounts for the weaker effectiveness of the monetary policy. These findings are robust to several alternative modeling specifications and suggest that monetary policy authorities should monitor the leverage cycle when determining their policy stance on macroeconomic stability.

We extract dynamic conditional factor premiums from the Fama-French factor model and find that most anomalies disappear after one accounts for time variation in these premiums. Vector autoregression evidence shows that mutual causation between dynamic conditional alphas and macroeconomic surprises serves as a core qualifying condition for fundamental factor selection. This economic insight is an incremental step toward drawing a distinction between rational risk and behavioral mispricing models. To the extent that dynamic conditional alphas can reveal the marginal investor’s fundamental news and expectations about the cross-section of average asset returns, our economic insight helps enrich macroeconomic asset return prediction.

Survey evidence tells us that stock prices reflect the risks investors associate with long-run technological change. However, there is a shortage of models that can rationalize long-run risks. Unlike the previous literature assuming a fixed number of products, our model allows for new product varieties that appear in the form of new firms which face entry costs and delay in the entry process. The fixed variety model has a significant limitation in translating macroeconomic volatility into asset return volatility. Our model with growing varieties induces endogenous low-frequency fluctuations in productivity driving large, persistent variations in consumption growth and asset prices. It also changes the valuation of assets through the increase in the volatility of the pricing kernel (with a positive long-run component) and leads to higher excess returns. Our model is motivated by a simple recursively identified VAR model containing quarterly US data 1992Q3-2018Q4 with the following list of variables: total factor productivity, output, a measure of firm entry, and the excess return on stocks.

We estimate a smooth-transition vector autoregression model (ST-VAR) using panel data from 14 OECD countries to study the cross-country spillover effects of economic policy uncertainty (EPU) shocks. An unexpected elevation of EPU originating abroad has an overall contractionary real effect, and the spillover effects depend on the state of the business cycle of the recipient country. EPU spillover shocks during recessions have stronger but less persistent effects on a number of economic indicators. We also find that the interconnectedness of EPU, financial markets, and business confidence are important channels for the EPU shocks to propagate across countries, while the trade channel has limited effects, especially during expansions.