A real-time data set for macroeconomists

By D. Croushore, T. Stark. 2001

746 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/0ad95e13218a08adb7b93e1b9cf567fc6084b910

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Citations in the corpus

Forecasting: theory and practice (2020, background): “ral Reserve Bank of Philadelphia maintain a real-time data set covering a number of US macro-variables, at: https://www.philadelphiafed.org/research-and-data/real-time-center/real-time-data/, and see Croushore and Stark (2001). 29 Reduced form models that avoid the necessity of estimating unobserved”
Nowcasting: the real time informational content of macroeconomic data releases (2008, background): “…literature, however, has almost exclusively focused only on the problem of data revisions and its implication for statistical and policy analysis (Croushore and Stark, 2001; Koenig et al., 2003; Orphanides, 2002) and has payed little attention to the fact that, in real time, the forecast has to…”
Explanations of the inconsistencies in survey respondents'forecasts (2010, neutral): “maintained by the Federal Reserve Bank of Philadelphia (see Croushore and Stark (2001) ).”
Exchange Rate Predictability (2013, neutral): “…and may exaggerate the forecasting ability relative to predictors that were actually available at the time (see Koenig, Dolmas and Piger, 2003, and Croushore and Stark, 2001,2003).59 57Macroeconomic news announcements are de ned as the di¤erence between expected and realized ( announced )…”
A Comparison of the Real-Time Performance of Business Cycle Dating Methods (2005, methodology): “The unobserved state variable controlling the regime shifts is modeled as following a Markov process as in Hamilton (1989). This Markov-switching dynamic factor model (DFMS), as developed in Chauvet (1998), produces a probability that the economy is in an expansion or a recession at any point in tim”
Introducing the Euro-STING: Short Term INdicator of Euro Area Growth (2010, background): “y t = y 2nd t + e1t + e2t, (5) y t = y 2nd t + e2t, (6)”
Data Uncertainty and the Role of Money as an Information Variable for Monetary Policy (2005, neutral): “For a large-scale analysis of the differences between alternative vintages of U.S. macroeconomic data the reader is referred to Croushore and Stark (1999).”
Estimating Equilibrium Real Interest Rates in Real-Time (2005, methodology): “NIPA data on output and the price level are taken from the Federal Reserve Bank of Philadelphia’s online Real-Time Data Set for Macroeconomists, described in Croushore and Stark (2001).”
Testing Forecast Optimality Under Unknown Loss (2007, positive): “This data were studied in depth by Croushore and Stark (2001). The data and a detailed description of its construction are available at http://www.phil.frb.org/econ/forecast/reaindex. html. In Section 2.5.1 we discuss the results obtained using an earlier vintage of real GDP growth data and show tha”
Fiscal Policy in Real Time (2012, positive): “…of policy-makers behavior may be drastically misleading.3 Since the seminal work of Orphanides (2001), research employing real-time data has soared in the monetary policy literature (see e.g. Boivin (2005), Croushore and Stark (2001), Giannone, Reichlin and Sala (2005), Ironside and Tetlow (2005)).”
Macroeconomic Forecasting With Mixed-Frequency Data (2008, methodology): “Our real-time data consist of quarterly vintages of output growth and monthly vintages of the indicators, obtained from the Philadelphia Fed (see Croushore and Stark 2001).”