On the public citation graph

https://doi.org/10.2139/ssrn.2912953

0 signed · 38 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1099-1255(199703)12:2<99::aid-jae429>3.0.co;2-aopenalex-extracted
NUMERICAL METHODS FOR ESTIMATION AND INFERENCE IN BAYESIAN VAR-MODELS
inferredcites →https://doi.org/10.1002/for.1208openalex-extracted
Are More Data Always Better for Factor Analysis' Results for the Euro Area, the Six Largest Euro Area Countries and the UK
inferredcites →https://doi.org/10.1002/for.1246openalex-extracted
Density Forecasting with Time Varying Higher Moments - A Model Confidence Set Approach
inferredcites →https://doi.org/10.1002/jae.1150openalex-extracted
Forecasting large datasets with Bayesian reduced rank multivariate models
inferredcites →https://doi.org/10.1002/jae.1270openalex-extracted
Forecasting with Medium and Large Bayesian VARS
inferredcites →https://doi.org/10.1002/jae.2315openalex-extracted
Bayesian VARs: Specification Choices and Forecast Accuracy
inferredcites →https://doi.org/10.1016/j.csda.2015.11.014openalex-extracted
Revisiting useful approaches to data-rich macroeconomic forecasting
inferredcites →https://doi.org/10.1016/j.econmod.2013.04.007openalex-extracted
A general to specific approach for constructing composite business cycle indicators
inferredcites →https://doi.org/10.1016/j.ijforecast.2013.10.005openalex-extracted
Macroeconomic Forecasting and Structural Analysis Through Regularized Reduced-Rank Regression
inferredcites →https://doi.org/10.1016/j.ijforecast.2016.09.002openalex-extracted
A Vector Heterogeneous Autoregressive Index Model for Realized Volatility Measures
inferredcites →https://doi.org/10.1016/j.jeconom.2008.08.011openalex-extracted
Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components?
inferredcites →https://doi.org/10.1016/j.jeconom.2010.11.002openalex-extracted
Infinite-dimensional VARs and factor models
inferredcites →https://doi.org/10.1016/j.jeconom.2011.02.018openalex-extracted
Variable selection, estimation and inference for multi-period forecasting problems
inferredcites →https://doi.org/10.1016/j.jeconom.2016.02.002openalex-extracted
Structural analysis with Multivariate Autoregressive Index models
inferredcites →https://doi.org/10.1016/j.jmva.2007.06.004openalex-extracted
Sample covariance shrinkage for high dimensional dependent data
inferredcites →https://doi.org/10.1016/j.jmva.2014.04.022openalex-extracted
Some strong consistency results in stochastic regression
inferredcites →https://doi.org/10.1016/s0047-259x(03)00096-4openalex-extracted
A well-conditioned estimator for large-dimensional covariance matrices
inferredcites →https://doi.org/10.1016/s0165-1765(03)00060-0openalex-extracted
Measuring the business cycle effects of permanent and transitory shocks in cointegrated time series
inferredcites →https://doi.org/10.1016/s0927-5398(03)00007-0openalex-extracted
Improved estimation of the covariance matrix of stock returns with an application to portfolio selection
inferredcites →https://doi.org/10.1017/cbo9780511610264.004openalex-extracted
Macroeconomic Forecasting Using Many Predictors
inferredcites →https://doi.org/10.1057/978-1-349-95121-5_2682-1openalex-extracted
Reduced Rank Regression
inferredcites →https://doi.org/10.1080/03610917508548342openalex-extracted
Ridge Regression: Some Simulations
inferredcites →https://doi.org/10.1080/07350015.2015.1086655openalex-extracted
FRED-MD: A Monthly Database for Macroeconomic Research
inferredcites →https://doi.org/10.1080/10618600.2015.1092978openalex-extracted
Sparse Vector Autoregressive Modeling
inferredcites →https://doi.org/10.1093/oxfordhb/9780195398649.013.0003openalex-extracted
Dynamic Factor Models
inferredcites →https://doi.org/10.1111/j.1468-0262.2006.00696.xopenalex-extracted
Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions
inferredcites →https://doi.org/10.1162/0033553053327452openalex-extracted
Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach
inferredcites →https://doi.org/10.1162/rest_a_00483openalex-extracted
Prior Selection for Vector Autoregressions
inferredcites →https://doi.org/10.1198/016214502388618960openalex-extracted
Forecasting Using Principal Components From a Large Number of Predictors
inferredcites →https://doi.org/10.1198/073500102317351921openalex-extracted
Macroeconomic Forecasting Using Diffusion Indexes
inferredcites →https://doi.org/10.1198/073500104000000019openalex-extracted
Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model
inferredcites →https://doi.org/10.2139/ssrn.1518419openalex-extracted
Testing for Common Autocorrelation in Data Rich Environments
inferredcites →https://doi.org/10.2307/1391623openalex-extracted
Testing for Common Features
inferredcites →https://doi.org/10.2307/1911792openalex-extracted
A General Procedure for Obtaining Maximum Likelihood Estimates in Generalized Regression Models
inferredcites →https://doi.org/10.2307/1912017openalex-extracted
Macroeconomics and Reality
inferredcites →https://doi.org/10.2307/2335952openalex-extracted
inferredcites →https://doi.org/10.3386/w11467openalex-extracted
Implications of Dynamic Factor Models for VAR Analysis
inferredcites →https://doi.org/10.3982/ecta5771openalex-extracted
The Model Confidence Set
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.