Search Results
Journal Article
What Accounts for the Growing Divergence between Employment Measures?
Willis, Jonathan L.; Zha, Tao
(2024-08-12)
Our analysis reveals a significant and persistent divergence between employment measures from the Current Employment Statistics (CES) and Current Population Survey (CPS). Adjusting for the net birth-death contribution of businesses only partially explains this gap. The remaining large discrepancy is likely due to an underestimation of population growth in the CPS, potentially linked to recent immigration fluctuations. This finding has substantial implications for understanding the current labor market: adjusted CPS data reveals a more robust labor market with healthy demand and rapid supply ...
Policy Hub
, Volume 2024
, Issue 6
, Pages 17
Working Paper
Asymmetric expectation effects of regime shifts in monetary policy
Zha, Tao; Waggoner, Daniel F.; Liu, Zheng
(2008)
This paper addresses two substantive issues: (1) Does the magnitude of the expectation effect of regime switching in monetary policy depend on a particular policy regime? (2) Under which regime is the expectation effect quantitatively important? Using two canonical DSGE models, we show that there exists asymmetry in the expectation effect across regimes. The expectation effect under the dovish policy regime is quantitatively more important than that under the hawkish regime. These results suggest that the possibility of regime shifts in monetary policy can have important effects on rational ...
Working Paper Series
, Paper 2008-22
Journal Article
Assessing simple policy rules: A view from a complete macroeconomic model
Leeper, Eric M.; Zha, Tao
(2001-10)
Monetary policy analysts looking for a model on which to base decisions may consider two popular approaches-the New Keynesian (NK) and the identified vector autoregression (VAR) approaches. Choosing between the two can be difficult: NK models are stylized and have simple rules while structural VAR models have complex dynamics and loose behavioral interpretations. ; The simpler NK models often produce stark conclusions. For example, NK analyses consistently find that the Federal Reserve's monetary policy has improved markedly in the past two decades compared with the 1960s and 1970s. In ...
Economic Review
, Volume 86
, Issue Q4
, Pages 35-58
Working Paper
Transparency, expectations, and forecasts
Eisenbeis, Robert A.; Zha, Tao; Waggoner, Daniel F.; Bauer, Andrew
(2006)
In 1994, the Federal Open Market Committee (FOMC) began to release statements after each meeting. This paper investigates whether the public?s views about the current path of the economy and of future policy have been affected by changes in the Federal Reserve?s communications policy as reflected in private sector?s forecasts of future economic conditions and policy moves. In particular, has the ability of private agents to predict where the economy is going improved since 1994? If so, on which dimensions has the ability to forecast improved? We find evidence that the individuals? forecasts ...
FRB Atlanta Working Paper
, Paper 2006-03
Working Paper
Stock-Bond Return Correlation, Bond Risk Premium Fundamentals, and Fiscal-Monetary Policy Regime
Li, Erica X.N.; Zha, Tao; Zhang, Ji; Zhou, Hao
(2020-10-02)
We incorporate regime switching between monetary and fiscal policies in a general equilibrium model to explain three stylized facts: (1) the positive stock-bond return correlation from 1971 to 2000 and the negative one after 2000, (2) the negative correlation between consumption and inflation from 1971 to 2000 and the positive one after 2000, and (3) the coexistence of positive bond risk premiums and the negative stock-bond return correlation. We show that two distinctive shocks—the technology and investment shocks—drive positive and negative stock-bond return correlations under two ...
FRB Atlanta Working Paper
, Paper 2020-19
Working Paper
The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models
Zha, Tao; Waggoner, Daniel F.; Wu, Hongwei
(2014-11-01)
Having efficient and accurate samplers for simulating the posterior distribution is crucial for Bayesian analysis. We develop a generic posterior simulator called the "dynamic striated Metropolis-Hastings (DSMH)" sampler. Grounded in the Metropolis-Hastings algorithm, it draws its strengths from both the equi-energy sampler and the sequential Monte Carlo sampler by avoiding the weaknesses of the straight Metropolis-Hastings algorithm as well as those of importance sampling. In particular, the DSMH sampler possesses the capacity to cope with incredibly irregular distributions that are full ...
FRB Atlanta Working Paper
, Paper 2014-21
Working Paper
Methods for inference in large multiple-equation Markov-switching models
Sims, Christopher A.; Zha, Tao; Waggoner, Daniel F.
(2006)
The inference for hidden Markov chain models in which the structure is a multiple-equation macroeconomic model raises a number of difficulties that are not as likely to appear in smaller models. One is likely to want to allow for many states in the Markov chain without allowing the number of free parameters in the transition matrix to grow as the square of the number of states but also without losing a convenient form for the posterior distribution of the transition matrix. Calculation of marginal data densities for assessing model fit is often difficult in high-dimensional models and seems ...
FRB Atlanta Working Paper
, Paper 2006-22
Working Paper
Evaluating Wall Street Journal survey forecasters: a multivariate approach
Eisenbeis, Robert A.; Zha, Tao; Waggoner, Daniel F.
(2002)
This paper proposes a methodology for assessing the joint performance of multivariate forecasts of economic variables. The methodology is illustrated by comparing the rankings of forecasters by the Wall Street Journal with the authors? alternative rankings. The results show that the methodology can provide useful insights as to the certainty of forecasts as well as the extent to which various forecasts are similar or different.
FRB Atlanta Working Paper
, Paper 2002-8
Working Paper
Conditional forecasts in dynamic multivariate models
Waggoner, Daniel F.; Zha, Tao
(1998)
In the existing literature, conditional forecasts in the vector autoregressive (VAR) framework have not been commonly presented with probability distributions or error bands. This paper develops Bayesian methods for computing such distributions or bands. It broadens the class of conditional forecasts to which the methods can be applied. The methods work for both structural and reduced-form VAR models and, in contrast to common practices, account for the parameter uncertainty in small samples. Empirical examples under the flat prior and under the reference prior of Sims and Zha (1998) are ...
FRB Atlanta Working Paper
, Paper 98-22
Working Paper
Learning, adaptive expectations, and technology shocks
Zha, Tao; Huang, Kevin X. D.; Liu, Zheng
(2008)
This study explores the macroeconomic implications of adaptive expectations in a standard real business cycle model. When rational expectations are replaced by adaptive expectations, we show that the self-confirming equilibrium is the same as the steady state rational expectations equilibrium for all admissible parameters, but that dynamics around the steady state are substantially different between the two equilibria. The differences are driven mainly by the dampened wealth effect and the strengthened intertemporal substitution effect, not by the escapes emphasized by Williams (2003). As a ...
Working Paper Series
, Paper 2008-18
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