Search Results
Working Paper
Nowcasting Indonesia
We produce predictions of the current state of the Indonesian economy by estimating a dynamic factor model on a dataset of eleven indicators (also followed closely by market operators) over the time period 2002 to 2014. Besides the standard difficulties associated with constructing timely indicators of current economic conditions, Indonesia presents additional challenges typical to emerging market economies where data are often scant and unreliable. By means of a pseudo-real-time forecasting exercise we show that our model outperforms univariate benchmarks, and it does comparably with ...
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
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
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
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 ...
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
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 ...
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 ...
Working Paper
Firm Dynamics and the Origins of Aggregate Fluctuations
What drives aggregate fluctuations? I test the granular hypothesis, according to which the largest firms in the economy drive aggregate dynamics, by estimating a dynamic factor model with firm-level data and controlling for the propagation of firm-level shocks using multi-firm growth model. Each time series, the growth rate of sales of a specific firm, is decomposed in an unobserved common macroeconomic component and in a residual that I interpret as an idiosyncratic firm-level component. The empirical results suggest that, once I control for aggregate shocks, idiosyncratic shocks do not ...
Working Paper
Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models
We develop a framework for measuring and monitoring business cycles in real time. Following a long tradition in macroeconometrics, inference is based on a variety of indicators of economic activity, treated as imperfect measures of an underlying index of business cycle conditions. We extend existing approaches by permitting for heterogenous lead-lag patterns of the various indicators along the business cycles. The framework is well suited for high-frequency monitoring of current economic conditions in real time - nowcasting - since inference can be conducted in presence of mixed frequency ...