E. Pesavento

发表

What Have We Learned ?

E. Pesavento, 2006 .

Optimal Power for Testing Potential Cointegrating Vectors With Known Parameters for Nonstationarity

Elena Pesavento, Michael Jansson, Graham Elliott, 2003 .

On the Failure of Purchasing Power Parity for Bilateral Exchange Rates after 1973

Elena Pesavento, Graham Elliott, G. Elliott, 2006 .

Impulse response confidence intervals for persistent data: What have we learned?

E. Pesavento, B. Rossi, 2007 .

Long-horizon stock valuation and return forecasts based on demographic projections

E. Pesavento, Chaoyi Chen, Nikolay Gospodinov, 2022, Journal of Empirical Finance.

DO TECHNOLOGY SHOCKS DRIVE HOURS UP OR DOWN? A LITTLE EVIDENCE FROM AN AGNOSTIC PROCEDURE

Elena Pesavento, Barbara Rossi, E. Pesavento, 2004, Macroeconomic Dynamics.

Sensitivity of Impulse Responses to Small Low-Frequency Comovements: Reconciling the Evidence on the Effects of Technology Shocks

Nikolay Gospodinov, Elena Pesavento, Alex Maynard, 2011 .

The Decline in U.S. Output Volatility

E. Pesavento, Ana María Herrera, 2005 .

Unit Roots, Cointegration, and Pretesting in Var Models ☆ ☆The views expressed here are the authors and not necessarily those of the Federal Reserve Bank of Atlanta or the Federal Reserve System.

E. Pesavento, Nikolay Gospodinov, Ana María Herrera, 2013 .

UNIT ROOTS, COINTEGRATION, AND PRETESTING IN VAR MODELS $

E. Pesavento, Nikolay Gospodinov, 2013 .

TESTING THE NULL OF NO COINTEGRATION WHEN COVARIATES ARE KNOWN TO HAVE A UNIT ROOT

G. Elliott, E. Pesavento, 2009, Econometric Theory.

When Do State-Dependent Local Projections Work?

E. Pesavento, L. Kilian, Sı́lvia Gonçalves, 2022, Federal Reserve Bank of Dallas, Working Papers.

OIL PRICE SHOCKS, SYSTEMATIC MONETARY POLICY, AND THE “GREAT MODERATION”

E. Pesavento, Ana MarÃa Herrera, 2009, Macroeconomic Dynamics.

Impulse Response Analysis for Structural Dynamic Models with Nonlinear Regressors

E. Pesavento, L. Kilian, Sı́lvia Gonçalves, 2020, Federal Reserve Bank of Dallas, Working Papers.

Analytical Evaluation of the Power of Tests for the Absence of Cointegration

E. Pesavento, 2000 .

Near-Optimal Unit Root Tests with Stationary Covariates with Better Finite Sample Size

Elena Pesavento, E. Pesavento, 2006 .

Bileaflet mechanical heart valve closing sounds: in vitro classification by phonocardiographic analysis

G. Gerosa, E. Pesavento, A. Bagno, 2009, Journal of Artificial Organs.

Small Sample Confidence Intervals for Multivariate Impulse Response Functions at Long Horizons

Elena Pesavento, Barbara Rossi, E. Pesavento, 2004 .

Oil Prices Uncertainty, Endogenous Regime Switching, and Inﬂation Anchoring

E. Pesavento, Yoosoon Chang, Ana María Herrera, 2023, SSRN Electronic Journal.

Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines

Marco Maggipinto, Gian Antonio Susto, Fabio Altinier, 2018, 2018 European Control Conference (ECC).

Laundry Fabric Classification in Vertical Axis Washing Machines Using Data-Driven Soft Sensors

Marco Maggipinto, Gian Antonio Susto, Giuliano Zambonin, 2019, Energies.

THE NEPHROLOGY TRAINING PROGRAM UNIVERSITY OF ALABAMA AT BIRMINGHAM SCHOOL OF MEDICINE

John, Jones, Bruce, 2005 .

State-Dependent Local Projections – Research Dept. Working Paper No. 2302 – Dallas Fed

E. Pesavento, L. Kilian, Ana María Herrera, 2023 .