1996
DOI: 10.1093/pan/6.1.1
|View full text |Cite
|
Sign up to set email alerts
|

Nuisance vs. Substance: Specifying and Estimating Time-Series-Cross-Section Models

Abstract: In a previous article we showed that ordinary least squares with panel corrected standard errors is superior to the Parks generalized least squares approach to the estimation of time-series-cross-section models. In this article we compare our proposed method with another leading technique, Kmenta's “cross-sectionally heteroskedastic and timewise autocorrelated” model. This estimator uses generalized least squares to correct for both panel heteroskedasticity and temporally correlated errors. We argue that it is… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
372
0
4

Year Published

2001
2001
2023
2023

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 697 publications
(383 citation statements)
references
References 22 publications
3
372
0
4
Order By: Relevance
“…We conclude that estimating random effects is most appropriate, but however, note that the results referring to OLS and random effects are very similar or even identical. Furthermore, we detected autocorrelation of first order in the residuals and correct for it using panel corrected standard errors (Beck and Katz (1996)). Moreover, Table 1 reports the coefficients and t-ratios in absolute terms for every single equation.…”
Section: The Period From 1970 To 2004mentioning
confidence: 99%
“…We conclude that estimating random effects is most appropriate, but however, note that the results referring to OLS and random effects are very similar or even identical. Furthermore, we detected autocorrelation of first order in the residuals and correct for it using panel corrected standard errors (Beck and Katz (1996)). Moreover, Table 1 reports the coefficients and t-ratios in absolute terms for every single equation.…”
Section: The Period From 1970 To 2004mentioning
confidence: 99%
“…Due to the count nature of the data however both dependent variables showed evidence of non-normality in both levels and natural log transformations via Shapiro-Wilk tests (Shapiro & Wilk, 1965). This creates problems with the use of possible estimation techniques for TSCS data such as Ordinary Least Squares (OLS) with PanelCorrected Standard Errors (Beck & Katz, 1996). One alternative approach that could counter the non-normality would be the use of a negative binomial or Poisson models however such models prove difficult to incorporate dynamic elements, crucial for analysing time-series data (Brandt, Williams, Fordham, &Pollins, 2000 andWilliams 2001).…”
Section: Methodsmentioning
confidence: 99%
“…For each of the fifteen countries in our sample, however, at least 85 minutes of playing time during market opening hours are available. Still, Beck and Katz (1996) have also argued that the efficiency gains of FGLS will be minor unless high heteroskedasticity and parameter homogeneity are present. 20 By construction, the MSCI World Index is to a large extent driven by developments in U.S. and U.K. markets.…”
Section: Match Events Influenced Trading Activitymentioning
confidence: 99%