René Lalonde

Bio: René Lalonde is an academic researcher from International Monetary Fund. The author has contributed to research in topics: Monetary policy & Inflation targeting. The author has an hindex of 17, co-authored 49 publications receiving 1536 citations. Previous affiliations of René Lalonde include Bank of Canada.

Effects of Fiscal Stimulus in Structural Models

Abstract: The paper assesses, using seven structural models used heavily by policymaking institutions, the effectiveness of temporary fiscal stimulus. Models can, more easily than empirical studies, account for differences between fiscal instruments, for differences between structural characteristics of the economy, and for monetary-fiscal policy interactions. Findings are: (i) There is substantial agreement across models on the sizes of fiscal multipliers. (ii) The sizes of spending and targeted transfers multipliers are large. (iii) Fiscal policy is most effective if it has some persistence and if monetary policy accommodates it. (iv) The perception of permanent fiscal stimulus leads to significantly lower initial multipliers.

Effects of Fiscal Stimulus in Structural Models

Abstract: The paper subjects seven structural DSGE models, all used heavily by policymaking institutions, to discretionary fiscal stimulus shocks using seven different fiscal instruments, and compares the results to those of two prominent academic DSGE models. There is considerable agreement across models on both the absolute and relative sizes of different types of fiscal multipliers. The size of many multipliers is large, particularly for spending and targeted transfers. Fiscal policy is most effective if it has moderate persistence and if monetary policy is accommodative. Permanently higher spending or deficits imply significantly lower initial multipliers. (JEL E12, E13, E52, E62)

Optimum Currency Areas and Shock Asymmetry: A Comparison of Europe and the United States

Abstract: Les auteurs examinent l'optimalite de l'Union Monetaire Europeenne (UME) en partant d'une evaluation empirique du degre d'asymetrie des chocs d'offre et de demande auxquels sont soumis treize pays d'Europe et en comparant les resultats avec ceux qu'ils ont obtenus pour neuf regions des Etats-Unis. Dans un premier temps, ils identifient les chocs d'offre ainsi que les chocs de demande reels et nominaux a l'aide de restrictions imposees aux effets que ces chocs peuvent avoir a long terme sur le niveau de la production, des prix et des encaisses reelles.

Oil Price Movements and the Global Economy: A Model-Based Assessment

Abstract: This paper develops a five-region version—Canada, a group of oil-exporting countries, the United States, emerging Asia, and Japan plus the euro area—of the global economy model encompassing production and trade of crude oil. In the presence of real adjustment costs that reduce the short- and medium-term responses of oil supply and demand, our simulations can account for large endogenous variations of oil prices with large effects on the terms of trade of oil-exporting versus oil-importing countries, and result in significant wealth transfers between regions. This is especially true when we consider a sustained increase in productivity growth or a shift in production technology toward more oil-intensive goods in regions such as emerging Asia. In addition, we study the implications of higher taxes on gasoline, showing that such a policy could increase world productive capacity while being consistent with a reduction in oil consumption.

The Bank of Canada's Version of the Global Economy Model (BoC-GEM)

Abstract: The Bank of Canada's version of the Global Economy Model (BoC-GEM) is derived from the model created at the International Monetary Fund by Douglas Laxton (IMF) and Paolo Pesenti (Federal Reserve Bank of New York and National Bureau of Economic Research)

Estimation and Inference in Econometrics

Abstract: Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Forecasting, Structural Time Series Models and the Kalman Filter

Abstract: In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

Federal Reserve Bank of New Yorkの制定せる財務諸表様式について

Abstract: Enclosed is a copy of the Board of Governors’ Semiannual Agenda of Regulations for the period August 1, 1980 through February 1, 1981. The Semiannual Agenda provides you with information on those regulatory matters that the Board now has under consideration or anticipates considering over the next six months, and is divided into three parts: (1) regulatory matters that the Board had considered during the previous six months on which final action has been taken; (2) regulatory matters that have been proposed for public comment and that require further Board consideration; and (3) regulatory matters that the Board may consider over the next six months.

Simple Analytics of the Government Expenditure Multiplier

Abstract: This paper explains the key factors that determine the output multiplier of government purchases in New Keynesian models, through a series of simple examples that can be solved analytically. Sticky prices or wages allow for larger multipliers than in a neoclassical model, though the size of the multiplier depends crucially on the monetary policy response. A multiplier well in excess of 1 is possible when monetary policy is constrained by the zero lower bound, and in this case welfare increases if government purchases expand to partially flll the output gap that arises from the inability to lower interest rates.

Growth Forecast Errors and Fiscal Multipliers

Abstract: This paper investigates the relation between growth forecast errors and planned fiscal consolidation during the crisis. We find that, in advanced economies, stronger planned fiscal consolidation has been associated with lower growth than expected, with the relation being particularly strong, both statistically and economically, early in the crisis. A natural interpretation is that fiscal multipliers were substantially higher than implicitly assumed by forecasters. The weaker relation in more recent years may reflect in part learning by forecasters and in part smaller multipliers than in the early years of the crisis.