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Working Paper
Predicting Benchmarked US State Employment Data in Realtime
US payroll employment data come from a survey of nonfarm business establishments and are therefore subject to revisions. While the revisions are generally small at the national level, they can be large enough at the state level to substantially alter assessments of current economic conditions. Researchers and policymakers must therefore exercise caution in interpreting state employment data until they are "benchmarked" against administrative data on the universe of workers some 5 to 16 months after the reference period. This paper develops and tests a state space model that predicts ...
Working Paper
Nowcasting Turkish GDP and News Decomposition
Real gross domestic product (GDP) data in Turkey are released with a very long delay compared with other economies, between 10 and 13 weeks after the end of the reference quarter. To infer the current state of the economy, policy makers, media, and market practitioners examine data that are more timely, that are released at higher frequencies than the GDP. In this paper, we propose an econometric model that automatically allows us to read through these more current and higher-frequency data and translate them into nowcasts for the Turkish real GDP. Our model outperforms nowcasts produced by ...
Working Paper
Monetary Policy Effectiveness in China: Evidence from a FAVAR Model
We use a broad set of Chinese economic indicators and a dynamic factor model framework to estimate Chinese economic activity and inflation as latent variables. We incorporate these latent variables into a factor-augmented vector autoregression (FAVAR) to estimate the effects of Chinese monetary policy on the Chinese economy. A FAVAR approach is particularly well-suited to this analysis due to concerns about Chinese data quality, a lack of a long history for many series, and the rapid institutional and structural changes that China has undergone. We find that increases in bank reserve ...
Working Paper
Assessing the Change in Labor Market Conditions
This paper describes a dynamic factor model of 19 U.S. labor market indicators, covering the broad categories of unemployment and underemployment, employment, workweeks, wages, vacancies, hiring, layoffs, quits, and surveys of consumers' and businesses' perceptions. The resulting labor market conditions index (LMCI) is a useful tool for gauging the change in labor market conditions. In addition, the model provides a way to organize discussions of the signal value of different labor market indicators in situations when they might be sending diverse signals. The model takes the greatest signal ...
Journal Article
The New York Fed Staff Underlying Inflation Gauge (UIG)
A measure of underlying inflation that uses all relevant information, is available in real time, and forecasts inflation better than traditional underlying inflation measures?such as core inflation measures?would greatly benefit monetary policymakers, market participants, and the public. This article presents the New York Fed Staff Underlying Inflation Gauge (UIG) for the consumer price index and the personal consumption expenditures deflator. Using a dynamic factor model approach, the UIG is derived from a broad data set that extends beyond price series to include a wide range of nominal, ...
Working Paper
Advance Layoff Notices and Aggregate Job Loss
We collect data from Worker Adjustment and Retraining Notification (WARN) Act notices and establish their usefulness as an indicator of aggregate job loss. The number of workers affected by WARN notices ("WARN layoffs") leads state-level initial unemployment insurance claims, and changes in the unemployment rate and private employment. WARN layoffs move closely with aggregate layoffs from Mass Layoff Statistics and the Job Openings and Labor Turnover Survey, but are timelier and cover a longer sample. In a vector autoregression, changes in WARN layoffs lead unemployment rate changes and job ...
Working Paper
Predicting Benchmarked US State Employment Data in Real Time
US payroll employment data come from a survey of nonfarm business establishments and are therefore subject to revisions. While the revisions are generally small at the national level, they can be large enough at the state level to substantially alter assessments of current economic conditions. Researchers and policymakers must therefore exercise caution in interpreting state employment data until they are “benchmarked” against administrative data on the universe of workers some 5 to 16 months after the reference period. This paper develops and tests a state space model that predicts ...
Working Paper
The dynamic factor network model with an application to global credit risk
We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the high-dimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors. The resulting dynamic factor network model is straightforward and transparent by nature. However, parameter estimation, signal extraction of the dynamic factors, and the econometric analysis generally are intricate tasks for which simulation-based methods are needed. We provide feasible and practical ...
Working Paper
Assessing the Change in Labor Market Conditions
This paper describes a dynamic factor model of 19 U.S. labor market indicators, covering the broad categories of unemployment and underemployment, employment, workweeks, wages, vacancies, hiring, layoffs, quits, and surveys of consumers? and businesses? perceptions. The resulting labor market conditions index (LMCI) is a useful tool for gauging the change in labor market conditions. In addition, the model provides a way to organize discussions of the signal value of different labor market indicators in situations when they might be sending diverse signals. The model takes the greatest signal ...