Proxy VAR Models in a Data-Rich Environment
نویسندگان
چکیده
منابع مشابه
DSGE Models in a Data-Rich Environment∗
Standard practice for the estimation of dynamic stochastic general equilibrium (DSGE) models maintains the assumption that economic variables are properly measured by a single indicator, and that all relevant information for the estimation is summarized by a small number of data series. However, recent empirical research on factor models has shown that information contained in large data sets i...
متن کاملForecasting the yield curve in a data-rich environment: A no-arbitrage factor-augmented VAR approach
This paper suggests a term structure model which parsimoniously exploits a broad macroeconomic information set. The model uses the short rate and the common components of a large number of macroeconomic variables as factors. Precisely, the dynamics of the short rate are modeled with a FactorAugmented Vector Autoregression and the term structure is derived using parameter restrictions implied by...
متن کاملThe Effect of Monetary Shocks on Disaggregated Prices in a Data Rich Environment: a Bayesian FAVAR Approach
Price stability has been the foremost task of monetary policy. The information relating to the response of prices to monetary policy shocks is essential for conducting monetary policy in general and for inflation targeting of central banks in particular. Most of the published empirical studies analyze the response of an aggregate price index like CPI or a consumption deflator and their r...
متن کاملa new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولAssessing Shocks to Inflation Expectations in a Data Rich Environment
We carry out a semi-structural analysis aiming at estimating the macroeconomic effects of shocks to inflation expectations. We estimate a Structural Factor Model for the euro area, which includes more than 200 quarterly variables. By using such a wide information set we are able to: 1) identify structural shocks which a small-scale VAR would not be able to retrieve; 2) avoid any variable select...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2019
ISSN: 1556-5068
DOI: 10.2139/ssrn.3494233