Monthly disaggregated US data from 1978 to 2016 reveal that exposure to news on inflation and monetary policy helps to explain inflation expectations. This remains true when controlling for household personal characteristics, perceptions of government policy effectiveness, expectations of future interest and unemployment rates, and sentiment. We find an asymmetric impact of news on inflation and monetary policy after 1983, with news on rising inflation and easier monetary policy having a stronger effect in comparison to news on lowering inflation and tightening monetary policy. Our results indicate the impact on inflation expectations of monetary policy news manifested through consumer sentiment during the lower bound period.

This paper introduces structural VAR analysis as a tool for investigating the anchoring of inflation expectations. We show that US consumers' inflation expectations are anchored in the long run because macro-news shocks are long-run neutral for long-term inflation expectations. The identification of structural shocks helps to explain why inflation expectations deviate from the central bank's target. Our results indicate that the recent decline in long-term inflation expectations does not result from deanchoring macro-news but can be attributed to downward adjustments in consumers' expectations about the central bank's inflation target.

This paper examines how innovation-led growth affects optimal monetary policy. We consider the Ramsey policy in a New Keynesian model where R&D leads to an expanding variety of intermediate goods and compare the results with those obtained when the expansion occurs exogenously. Positive trend inflation is found to be optimal under both assumptions, but much higher with profit-seeking innovation. Optimal monetary policy must be counter-cyclical in response to both technology and public spending shocks, yet the intensity of the reaction crucially depends on the presence of an R&D sector. However, the small amount of short-run deviations of prices from the non-zero trend inflation observed in response to shocks suggests inflation targeting as a robust policy recommendation.

We generalize the normalized constant elasticity of substitution (CES) production function by allowing the elasticity of substitution to vary isoelastically with (i) the relative factor share, (ii) the marginal rate of substitution, (iii) the capital–labor ratio, (iv) the capital share, (v) the capital’s rate of return, or (vi) the capital–output ratio. Ensuing isoelastic elasticity of substitution (IEES) functions have intuitively and analytically desirable properties, for example, self-duality. Empirically, for the post-war US economy we robustly reject the CES specification in favor of the IEES alternative. Assuming the IEES production structure we find that the capital–labor elasticity of substitution has remained around 0.8–0.9 from 1948 to the 1980s, followed by a period of secular decline.

A nonlinear programming formulation is introduced to solve infinite-horizon dynamic programming problems. This extends the linear approach to dynamic programming by using ideas from approximation theory to approximate value functions. Our numerical results show that this nonlinear programming is efficient and accurate, and avoids inefficient discretization.

By considering a simple endogenous growth model, we propose a new theoretical channel through which the presence of asset bubbles can promote economic growth. In the model economy, long-lived value-maximizing firms continuously improve the quality of their specific products through in-house research and development (R&D), while simultaneously new firms enter into the market. The key feature is endogenous market structure: The number of firms is endogenously determined, which leads to variation in firm size measured in terms of the scale of production at the level of an individual firm. The presence of asset bubbles unambiguously gives rise to larger firms. This allows in-house R&D expenditure to be spread over the greater numbers of goods that the firms produce, which can increase incentives to undertake in-house R&D.

The Great Moderation is characterized as a period of stable macroeconomic conditions, especially with regard to inflation. Under the sticky information theory, this environment may provide a few incentives for agents to update information on inflation, thus, producing a new slope of the sticky information Phillips curve. We estimate the degree of information rigidity implied by the sticky information Phillips curve. Using threshold models, we identify two regimes of high and low inflation, finding that each identified regime is associated with a specific degree of information stickiness. This evidence is consistent with agents that update information faster when inflation is higher.

This paper constructs a quantitative general equilibrium life-cycle model with uninsurable labor income to account for the differences in wealth accumulation and homeownership between Korea and the United States. The model incorporates different structures in the housing market in the two countries, namely, the mortgage market and the rental arrangements. The results from the calibrated model quantitatively explain some empirical findings in the aggregate and life-cycle profiles of wealth and homeownership. Quantitative policy experiments show that the mortgage market alone can account for more than 40% of the differences in the aggregate homeownership ratios. When coupled with the rental arrangements, both institutions can account for approximately 52% of the differences in the cross-country homeownership ratios.

We analyze the forecasting performance of small mixed-frequency factor models when the observed variables share stochastic trends. The indicators are observed at various frequencies and are tied together by cointegration so that valuable high-frequency information is passed to low-frequency series through the common factors. Differencing the data breaks the cointegrating link among the series and some of the signal leaks out to the idiosyncratic components, which do not contribute to the transfer of information among indicators. We find that allowing for common trends improves forecasting performance over a stationary factor model based on differenced data. The “common-trends factor model” outperforms the stationary factor model at all analyzed forecast horizons. Our results demonstrate that when mixed-frequency variables are cointegrated, modeling common stochastic trends improves forecasts.

This paper investigates conditions under which a long-run recursive model can be used to identify a structure. Economists frequently employ this type of empirical model. I define the class of long-run partially recursive structures. If an economic system is a member of this class, then certain long-run recursive empirical models will obtain some of the structural impulse response functions. This sufficient condition for a structure is first shown in a vector autoregression. A well-known example from the literature is used to illustrate this particular class of structures and to present some useful applications of the result. Then the result is shown in models of cointegrated time series. Necessary conditions for a long-run recursive model to identify structure are addressed in the conclusion.

We study the main shocks driving current account (CA) fluctuations for the G6 economies, using a standard two-good intertemporal model. We build a structural vector autoregression model including the world real interest rate, net output (NO), the real exchange rate, and the CA and identify four structural shocks. Our results suggest four main conclusions: (i) there is substantial support for the two-good intertemporal model with time-varying interest rate, since both external supply and preference shocks account for an important proportion of CA fluctuations; (ii) temporary domestic shocks account for a large proportion of CA fluctuations, albeit smaller than in previous studies; (iii) our results alleviate the puzzle in the literature that a shock that explains little about NO changes can explain a large proportion of CA changes; (iv) the nature of the shock matters to shape the relationship between the CA and the real exchange rate.

This paper explores the consequences of tax enforcement policies for monetary policy. Agents may evade taxes by working in the informal sector, but they are detected with positive probability. Workers are rewarded with government benefits that are proportional to formal (taxed) work. When enforcement is imperfect and collecting taxes is costly, the optimal inflation rate is positive and inflation becomes a second-best tax. Deviations from the Friedman rule are optimal and depend on the tax enforcement policies. Using U.S. data, we compute the quantitative effect of different tax structures on inflation and interest rate. We show that different tax enforcement and government spending (benefits) policies induce different optimal outcomes for inflation and interest rates.

We study the competitive equilibrium of large random economies with linear activities using methods of statistical mechanics. We focus on economies with C commodities, N firms, each running a randomly drawn linear technology, and one consumer. We derive, in the limit N, C ∞ with n=N/C fixed, a complete description of the statistical properties of typical equilibria. We find two regimes, which in the limit of efficient technologies are separated by a phase transition, and argue that endogenous technological change drives the economy close to the critical point.

This paper develops a medium-scale New Keynesian model where consumer preferences depend on government expenditures and public capital is productivity-enhancing in order to account for recent evidence on the effects of government spending shocks. Under plausible assumptions on the degree of complementarity between private and public expenditures and on the output elasticity of public spending and considering alternative monetary policy rules, the effects of fiscal shocks delivered by the model are in line with the evidence.

Gold is a globally traded asset and held in large quantities by investors and central banks. Since there is no established model to assess whether the price of gold is overvalued or undervalued, we propose a relative valuation framework based on gold price ratios. This idea is not confined to gold but offers the foundation for relative valuation of a broad range of different assets or asset classes. We analyze gold prices relative to commodity prices, consumer prices, stock prices, dividend, and bond yields and find that the relative value of gold varies significantly over time. An analysis of the factors which drive these variations demonstrates that inflation expectations and uncertainty have a strong influence on gold ratios while macroeconomic fundamentals are less important. More specifically, a boost in confidence decreases the relative price of gold while heightened uncertainty increases the relative price of gold, which confirms the role of gold as a safe haven.

We investigate whether recoveries following normal recessions differ from recoveries following recessions that are associated with either banking crises or housing crises. Using a parametric panel framework that allows for a bounce-back in the level of output during the recovery, we find that normal recessions are followed by strong recoveries in advanced economies. This bounce-back is absent following recessions associated with banking crises and housing crises. Consequently, the permanent output losses of recessions associated with banking crises and housing crises are considerably larger than those of normal recessions.

This paper develops a model that endogenizes both directed technologies and demography. Potential innovators decide which technologies to develop after considering available factors of production, and individuals decide the quality and quantity of their children after considering available technologies. This interaction allows us to evaluate potentially divergent development paths. We find that unskilled labor–biased technological growth can induce higher fertility and lower education, exerting downward pressure on growth in per-person income. Despite this, for most plausible developing-country scenarios, unskilled intensive growth produces more per-person income than skill-intensive growth. This result is robust to a variety of growth modeling assumptions.

Using a structural vector autoregressive (SVAR) model, this paper provides deeper insight into unemployment dynamics in Germany. We identify a technology shock and two policy shocks that play a central role in business cycle research. Accordingly, we enrich the discussion on the sources of unemployment dynamics by considering demand-side impulses. The worker reallocation process varies substantially with the identified shocks. The job-finding rate plays a larger role after a technology shock and a monetary policy shock, whereas the separation rate appears to be the dominant margin after a fiscal policy shock. Technology shocks turn out to be relatively important for variations in the transition rates. Regarding policy shocks, our results point toward fiscal interventions as a promising instrument but with several limitations.

This paper explores the influence of wage and price staggering on monetary persistence. We show that, for plausible parameter values, wage and price staggering are complementary in generating monetary persistence. We do so by proposing the new measure of “quantitative inertia,” after discussing weaknesses of the “contract multiplier,” a standard measure of monetary persistence. The existence of complementarities means that beyond understanding how wage and price staggering work in isolation, it is important to investigate their interactions. Furthermore, our analysis indicates that the degree of monetary persistence generated by wage vis-à-vis price staggering depends on the relative competitiveness of the labor and product markets. We show that the conventional finding that wage staggering generates more persistence than price staggering holds under homogeneous capital accumulation. Under firm-specific capital, wage staggering generates more persistence only when the labor market is sufficiently competitive relative to the product market.

In this paper, we analyze the adequacy of using GARCH as the data-generating process to model conditional volatility of stock market index rates-of-return series. Using the Hinich portmanteau bicorrelation test, we find that a GARCH formulation or any of its variants fail to provide an adequate characterization for the underlying process of the main Latin American stock market indices. Policymakers need to be careful when using autoregressive models for policy analysis and forecast because the inadequacy of GARCH models has strong implications for the pricing of stock index options, portfolio selection, and risk management. In particular, measures of spillover effects and output volatility may not be correct when GARCH-type models are used to evaluate economic policy.