Search Results
                                                                                    Working Paper
                                                                                
                                            Incorporating Short Data into Large Mixed-Frequency VARs for Regional Nowcasting
                                        
                                        
                                        
                                        
                                                                                    
                                                                                                    Interest in regional economic issues coupled with advances in administrative data is driving the creation of new regional economic data. Many of these data series could be useful for nowcasting regional economic activity, but they suffer from a short (albeit constantly expanding) time series which makes incorporating them into nowcasting models problematic. Regional nowcasting is already challenging because the release delay on regional data tends to be greater than that at the national level, and "short" data imply a "ragged edge" at both the beginning and the end of regional data sets, ...
                                                                                                
                                            
                                                                                
                                    
                                                                                    Working Paper
                                                                                
                                            FRED-QD: A Quarterly Database for Macroeconomic Research
                                        
                                        
                                        
                                        
                                                                                    
                                                                                                    In this paper we present and describe a large quarterly frequency, macroeconomic database. The data provided are closely modeled to that used in Stock and Watson (2012a). As in our previous work on FRED-MD, our goal is simply to provide a publicly available source of macroeconomic “big data” that is updated in real time using the FRED database. We show that factors extracted from this data set exhibit similar behavior to those extracted from the original Stock and Watson data set. The dominant factors are shown to be insensitive to outliers, but outliers do affect the relative influence ...
                                                                                                
                                            
                                                                                
                                    
                                                                                    Working Paper
                                                                                
                                            FRED-MD: A Monthly Database for Macroeconomic Research
                                        
                                        
                                        
                                        
                                                                                    
                                                                                                    This paper describes a large, monthly frequency, macroeconomic database with the goal of establishing a convenient starting point for empirical analysis that requires "big data." The dataset mimics the coverage of those already used in the literature but has three appealing features. First, it is designed to be updated monthly using the FRED database. Second, it will be publicly accessible, facilitating comparison of related research and replication of empirical work. Third, it will relieve researchers from having to manage data changes and revisions. We show that factors extracted from our ...