Dissent in Monetary Policy Decisions

Voting records indicate that dissents in monetary policy committees are frequent and predictability regressions show that they help forecast future policy decisions. In order to study whether the latter relation is causal, we construct a model of committee decision making and dissent where members' decisions are not a function of past dissents. The model is estimated using voting data from the Bank of England and the Riksbank. Stochastic simulations show that the decision-making frictions in our model help account for the predictive power of current dissents. The eect of institutional characteristics and structural parameters on dissent rates is examined using simulations as well.Committees, voting models, political economy of central banking

Factor Analysis of a Large DSGE Model

We study the workings of the factor analysis of high-dimensional data using arti…cial series generated from a large, multi-sector dynamic stochastic general equilibrium (DSGE) model. The objective is to use the DSGE model as a laboratory that allow us to shed some light on the practical bene…ts and limitations of using factor analysis techniques on economic data. We explain in what sense the arti…cial data can be thought of having a factor structure, study the theoretical and fi…nite sample properties of the principal components estimates of the factor space, investigate the substantive reason(s) for the good performance of diffusion index forecasts, and assess the quality of the factor analysis of highly dissagregated data. In all our exercises, we explain the precise relationship between the factors and the basic macroeconomic shocks postulated by the model.Multisector economies, principal components, forecasting, pervasiveness, FAVAR

Inflation targeting under asymmetric preferences

El autor desarrolla y estima un modelo de teoria de juegos sobre objetivos de inflacion en el que las preferencias de los bancos centrales son asimetricas en torno a la tasa que se ha establecido como objetivo. En concreto, en la funcion de perdida de los bancos centrales, las desviaciones positivas del objetivo pueden ponderarse con mayor o menor severidad que las desviaciones negativas. Se muestra que algunos de los resultados anteriores derivados del supuesto de simetria no varian con la generalizacion de las preferencias. Las estimaciones de los parametros de preferencia de los bancos centrales para Canada, Suecia y el Reino Unido son estadisticamente diferentes de las implicitas en la funcion de perdida cuadratica utilizada habitualment. Los resultados econometricos no varian cuando se consideran distintos modelos de prediccion de la tasa de desempleo, pero si para la utilizacion de medidas de inflacion mas amplias que la establecida como objetivo. (fjrm) (ad

Estimating Nonlinear DSGE Models by the Simulated Method of Moments

This paper studies the application of the simulated method of moments (SMM) for the estimation of nonlinear dynamic stochastic general equilibrium (DSGE) models. Monte Carlo analysis is employed to examine the small-sample properties of SMM in specifications with different curvature. Results show that SMM is computationally efficient and delivers accurate estimates, even when the simulated series are relatively short. However, asymptotic standard errors tend to overstate the actual variability of the estimates and, consequently, statistical inference is conservative. A simple strategy to incorporate priors in a method of moments context is proposed. An empirical application to the macroeconomic effects of rare events indicates that negatively skewed productivity shocks induce agents to accumulate additional capital and can endogenously generate asymmetric business cycles.Monte-Carlo analysis; priors; perturbation methods, rare events, skewness

Sectoral Price Rigidity and Aggregate Dynamics

In this paper, we study the macroeconomic implications of sectoral heterogeneity and, in particular, heterogeneity in price setting, through the lens of a highly disaggregated multi-sector model. The model incorporates several realistic features and is estimated using a mix of aggregate and sectoral U.S. data. The frequencies of price changes implied by our estimates are remarkably consistent with those reported in micro-based studies, especially for non-sale prices. The model is used to study (i) the contribution of sectoral characteristics to the observed cross sectional heterogeneity in sectoral output and inflation responses to a monetary policy shock, (ii) the implications of sectoral price rigidity for aggregate output and inflation dynamics and for cost pass-through, and (iii) the role of sectoral shocks in explaining secotral prices and quantities.Multi-sector models, price stickiness, simulated method of moments, sectoral shocks, monetary policy

Durable Goods, Inter-Sectoral Linkages and Monetary Policy

Barsky, House and Kimball (2007) show that introducing durable goods into a sticky-price model leads to negative sectoral comovement of production following a monetary policy shock and, under certain conditions, to aggregate neutrality. These results appear to undermine sticky-price models. In this paper, we show that these results are not robust to two prominent and realistic features of the data, namely input-output interactions and limited mobility of productive inputs. When extended to allow for both features, the sticky-price model with durable goods delivers implications in line with VAR evidence on the effects of monetary policy shocks.Durability, input-output interactions, roundabout production, sectoral comovement, monetary policy

Limited-dependent rational expectations models with jumps

This paper develops a Limited-Dependent Rational Expectations (LD-RE) model where the bounds can be fixed for an extended period, but are subject to occasional jumps. In this case, the behavior of the endogenous variable is affected by the agent's expectations about both the occurrence and the size of the jump. The RE solution for the one-sided and two-sided band are derived and shown to encompass the cases of perfectly predictable and stochastically varying bounds examined by earlier literature. We demonstrate that the solution for the one-sided band exists and is unique when the coefficient of the expectational variable is less than one. In the case of a two-sided band, the RE solution exists for all the parameter values and is unique if the coefficient of the expectational variable is less than or equal to one. These results hold even when the jump probability is stochastically varying and the error terms are conditionally heteroskedastic. As an illustration, we estimate a model of exchange rate determination in a target zone using data for the Franc/Mark exchange rate. Empirical results provide support for the non-linear model with time-varying realignment probability and indicate that the agents correctly anticipated most of the observed changes in the central parity.Rational expectations (Economic theory)