Search Results

Showing results 1 to 10 of approximately 55.

(refine search)
SORT BY: PREVIOUS / NEXT
Author:Chudik, Alexander 

Working Paper
A multi-country approach to forecasting output growth using PMIs

This paper derives new theoretical results for forecasting with Global VAR (GVAR) models. It is shown that the presence of a strong unobserved common factor can lead to an undetermined GVAR model. To solve this problem, we propose augmenting the GVAR with additional proxy equations for the strong factors and establish conditions under which forecasts from the augmented GVAR model (AugGVAR) uniformly converge in probability (as the panel dimensions N,T? ? such that N/T?? for some 0
Globalization Institute Working Papers , Paper 213

Working Paper
Pooled Bewley Estimator of Long-Run Relationships in Dynamic Heterogenous Panels

This paper, using the Bewley (1979) transformation of the autoregressive distributed lag model, proposes a pooled Bewley (PB) estimator of long-run coefficients for dynamic panels with heterogeneous short-run dynamics, in the same setting as the widely used Pooled Mean Group (PMG) estimator. The Bewley transform enables us to obtain an analytical closed form expression for the PB, which is not available when using the maximum likelihood approach. This lets us establish asymptotic normality of PB as n,T→∞ jointly, allowing for applications with n and T large and of the same order of ...
Globalization Institute Working Papers , Paper 409

Early Mandated Social Distancing Does Best to Control COVID–19 Spread

Voluntary social distancing and a lack of compliance with mandated polices have led to unnecessarily high infection rates and death tolls in a number of countries.
Dallas Fed Economics

Working Paper
Variable Selection and Forecasting in High Dimensional Linear Regressions with Structural Breaks

This paper is concerned with the problem of variable selection and forecasting in the presence of parameter instability. There are a number of approaches proposed for forecasting in the presence of breaks, including the use of rolling windows and exponential down-weighting. However, these studies start with a given model specification and do not consider the problem of variable selection, which is complicated by time variations in the effects of signal variables. In this study we investigate whether or not we should use weighted observations at the variable selection stage in the presence of ...
Globalization Institute Working Papers , Paper 394

Working Paper
Variable Selection and Forecasting in High Dimensional Linear Regressions with Structural Breaks

This paper is concerned with the problem of variable selection and forecasting in the presence of parameter instability. There are a number of approaches proposed for forecasting in the presence of breaks, including the use of rolling windows or exponential down-weighting. However, these studies start with a given model specification and do not consider the problem of variable selection. It is clear that, in the absence of breaks, researchers should weigh the observations equally at both the variable selection and forecasting stages. In this study, we investigate whether or not we should use ...
Globalization Institute Working Papers , Paper 394

Report
Toward a Better Understanding of Macroeconomic Interdependence

The concept of a representative foreign economy has no proper justification in the literature, and the consequences of aggregating the rest of the world into one representative economy are not fully understood.
Annual Report, Globalization and Monetary Policy Institute

Working Paper
An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels

This paper introduces the idea of self-instrumenting endogenous regressors in settings when the correlation between these regressors and the errors can be derived and used to bias-correct the moment conditions. The resulting bias-corrected moment conditions are less likely to be subject to the weak instrument problem and can be used on their own or in conjunction with other available moment conditions to obtain more efficient estimators. This approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. This paper focuses on the latter, and ...
Globalization Institute Working Papers , Paper 327

Working Paper
Aggregation in large dynamic panels

This paper investigates the problem of aggregation in the case of large linear dynamic panels, where each micro unit is potentially related to all other micro units, and where micro innovations are allowed to be cross sectionally dependent. Following Pesaran (2003), an optimal aggregate function is derived and used (i) to establish conditions under which Granger's (1980) conjecture regarding the long memory properties of aggregate variables from "a very large scale dynamic, econometric model" holds, and (ii) to show which distributional features of micro parameters can be identified from ...
Globalization Institute Working Papers , Paper 101

Working Paper
The GVAR approach and the dominance of the U.S. economy

This paper extends the recent literature about global macroeconomic modelling by allowing the presence of a globally dominant economy. Our contribution is both theoretical and empirical. From a theoretical standpoint, we follow Chudik and Pesaran (2011 and 2012) to derive the GVAR approach as an approximation to two Infinite-Dimensional VAR (IVAR) models featuring nonstationary variables: one corresponding to the world consisting of several small open economies (benchmark model), and one corresponding to the world featuring a dominant economy (extended model). ; It is established that in the ...
Globalization Institute Working Papers , Paper 136

Working Paper
Large panel data models with cross-sectional dependence: a survey

This paper provides an overview of the recent literature on estimation and inference in large panel data models with cross-sectional dependence. It reviews panel data models with strictly exogenous regressors as well as dynamic models with weakly exogenous regressors. The paper begins with a review of the concepts of weak and strong cross-sectional dependence, and discusses the exponent of cross-sectional dependence that characterizes the different degrees of cross-sectional dependence. It considers a number of alternative estimators for static and dynamic panel data models, distinguishing ...
Globalization Institute Working Papers , Paper 153

FILTER BY year

FILTER BY Bank

FILTER BY Content Type

FILTER BY Jel Classification

C23 10 items

C13 7 items

C12 6 items

C33 5 items

C4 5 items

D0 5 items

show more (40)

FILTER BY Keywords

COVID-19 9 items

SIR model 5 items

social distancing 5 items

multiplication factor 4 items

self-isolation 4 items

under-reporting 4 items

show more (74)

PREVIOUS / NEXT