Creator: Benati, Luca, Lucas, Jr., Robert E., Nicolini, Juan Pablo, and Weber, Warren E. Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 737 Abstract:
We explore the long-run demand for M1 based on a data set that has comprised 32 countries since 1851. In many cases, cointegration tests identify a long-run equilibrium relationship between either velocity and the short rate or M1, GDP, and the short rate. Evidence is especially strong for the United States and the United Kingdom over the entire period since World War I and for moderate and high-inflation countries. With the exception of high-inflation countries–for which a “log-log” specification is preferred–the data often prefer the specification in the levels of velocity and the short rate originally estimated by Selden (1956) and Latané (1960). This is especially clear for the United States and other low-inflation countries.
Keyword: Long-run money demand and Cointegration Subject (JEL): C32 - Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models and E41 - Demand for Money
Creator: Benati, Luca, Lucas, Jr., Robert E., Nicolini, Juan Pablo, and Weber, Warren E. Series: Staff report (Federal Reserve Bank of Minneapolis. Research Department) Number: 587 Abstract:
We explore the long-run demand for M1 based on a dataset comprising 38 countries and relatively long sample periods, extending in some cases to over a century. Overall, we find very strong evidence of a long-run relationship between the ratio of M1 to GDP and a short-term interest rate, in spite of a few failures. The standard log-log specification provides a very good characterization of the data, with the exception of periods featuring very low interest rate values. This is because such a specification implies that, as the short rate tends to zero, real money balances become arbitrarily large, which is rejected by the data. A simple extension imposing limits on the amount that households can borrow results in a truncated log-log specification, which is in line with what we observe in the data. We estimate the interest rate elasticity to be between 0.3 and 0.6, which encompasses the well-known squared-root specification of Baumol and Tobin.
Keyword: Cointegration and Long-run money demand Subject (JEL): E41 - Demand for Money and C32 - Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Creator: Crone, Theodore M. and Mills, Leonard O. (Leonard Orion), 1960- Series: System committee on agriculture and rural development Abstract:
Cointegration tests are used to examine the basic long-term relation between population and the housing stock. There is some weak evidence of a long-run relation between the constant-cost value of the housing stock and population-driven demand. Much stronger evidence exists for a long-term relation between owner-occupied housing units and the adult population. We generally cannot reject that the number of housing units intended for owner-occupancy has adjusted in proportion to the population 25 years of age and older. Using these results and current population projections, we produce trend forecasts through the year 2010 for the owner-occupied housing stock and single-family housing starts in the U.S.
Keyword: Population, Demographics, and Housing Subject (JEL): J11 - Demographic Trends, Macroeconomic Effects, and Forecasts ; General Migration and R31: Housing Supply and Markets
Creator: Martin, Vance, 1955- and Pagan, Adrian R. Series: Simulation-based inference in econometrics Abstract:
Procedures for computing the parameters of a broad class of multifactor continuous time models of the term structure based on indirect estimation methods are proposed. The approach consists of simulating the unknown factors from a set of stochastic differential equations which are used to compute synthetic bond yields. The bond yields are calibrated with actual bond yields via an auxiliary model. The approach circumvents many of the difficulties associated with direct estimation of this class of models using maximum likelihood. In particular, the paper addresses the identification issues arising from singularities in the yields and spreads which tend not to be recognised in existing estimation procedures and thereby overcome potential misspecification problems inherrent in direct methods. Indirect estimates of single and multifactor models are computed and compared with the estimates based on existing estimation procedures.
Keyword: Continous time models, Indirect estimation, Multifactor models, Term structure, Testing factor models, Stochastic differential equations, and Singularities Subject (JEL): C30 - Multiple or simultaneous equation models - General, C51 - Econometric modeling - Model construction and estimation, and G12 - General financial markets - Asset pricing ; Trading volume ; Bond interest rates
Creator: Rich, Robert W., 1958- and Tracy, Joseph S., 1956- Series: Joint committee on business and financial analysis Abstract:
This paper examines data on point and probabilistic forecasts of inflation from the Survey of Professional Forecasters. We use this data to evaluate current strategies for the empirical modeling of forecast behavior. In particular, the analysis principally focuses on the relationship between ex post forecast errors and ex ante measures of uncertainty in order to assess the reliability of using proxies based on predictive accuracy to describe changes in predictive confidence. After we adjust the data to account for certain features in the conduct and construct of the survey, we find a significant and robust correlation between observed heteroskedasticity in the consensus forecast errors and forecast uncertainty. We also document that significant compositional effects are present in the data that are economically important in the case of forecast uncertainty, and may be related to differences in respondents' access to information.
Keyword: Forecasting, Inflation, Uncertainty, Disagreement, and Conditional heteroskedasticity Subject (JEL): C12 - Econometric and statistical methods : General - Hypothesis testing, C22 - Single equation models ; Single variables - Time-series models ; Dynamic quantile regressions, and E37 - Prices, business fluctuations, and cycles - Forecasting and simulation
Creator: Roberds, William Series: Business analysis committee meeting Abstract:
One of the more significant developments in econometric modeling over the past decade has been the invention of the forecasting technique known as Bayesian vector autoregression (BVAR). This paper provides a detailed description of the process of specifying a BVAR model of quarterly time series on the U.S. macroeconomy. The postsample forecasting performance of the model is evaluated at an informal level by comparing the model's performance to certain naive forecasting methods, and is evaluated at a formal level by means of efficiency tests. Although the null hypothesis of efficiency is rejected for the model's forecasts, the accuracy of the model exceeds that of naive forecasting methods, and seems comparable to that of commercial forecasting firms for early quarter forecasts.
Keyword: BVAR, Vector autoregression, and Bayesian analysis Subject (JEL): C11 - Bayesian Analysis: General and C53 - Forecasting Models; Simulation Methods
Creator: Altug, Sumru Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 366 Keyword: Assymetric information , Lending, Borrowing constraint, Transaction cost, Private information, Market friction, and Idiosyncratic risk Subject (JEL): D82 - Asymmetric and Private Information; Mechanism Design and D52 - Incomplete Markets
Creator: Braun, R. Anton and Christiano, Lawrence J. Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 529 Abstract:
The money demand literature presents much conflicting evidence on this question. For example, Lucas (1988) reports unrestricted money demand regressions which seem to imply that long-run money demand elasticities are highly unstable across subsamples. At the same time, he also presents evidence from money demand regressions with the income elasticity restricted to unity which seem to suggest stability. We conduct a formal analysis which weighs these apparently conflicting facts to determine which hypothesis is more plausible; the hypothesis that money demand is stable, or the hypothesis that money demand is unstable. We find that the stability hypothesis is the more plausible one. Thus, according to our data set, the answer to the question in the title is "yes".
Keyword: M1, Money supply, Money demand, Regression analysis, and Money demand regressions Subject (JEL): E41 - Demand for Money and E51 - Money Supply; Credit; Money Multipliers