A Lot More to Do: The Sensitivity of Time-Series Cross-Section Analyses to Simple Alternative Specifications

By Sven E. Wilson, Daniel M. Butler. Political Analysis, 2007

411 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5aa43e4163dca8b74cb2902ef0ae46cafbcbe5c7

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Citations in the corpus

Energy consumption and economic growth in the light of meeting the targets of energy policy in the EU (2014, background): “If the elements of the panel are not homogeneous, ‘traditional’ panel models may give erroneous results of causality tests (see Wilson and Butler, 2007).”
Who sets the agenda and who responds to it in the Danish parliament? A new model of issue competition and agenda-setting (2010, methodology): “Since such unit heterogeneity may challenge the robustness of a cross-sectional time-series analysis (Wilson & Butler 2007),we decided to perform a jackknife analysis (see Kittel & Winner 2005) to handle this challenge beyond applying a fixed effects model.”
Efficient Estimation of Time-Invariant and Rarely Changing Variables in Finite Sample Panel Analyses with Unit Fixed Effects (2007, background): “In a substantive perspective, this article contributes to an ongoing debate about the pros and cons of FE models (Beck 2001; Beck and Katz 2001; Green, Kim, and Yoon 2001; Plümper, Troeger, and Manow 2005; Wilson and Butler 2007).”
Does FDI Promote MENA Region's Environment Quality? Pollution Halo or Pollution Haven Hypothesis (2013, background): “…it 4.9506 0.0000 POP it 4.2302 0.0000 ER it 5.3696 0.0000 CPI it 2.4741 0.0000 One approach to model these unit effects is to use fixed effects, which, instead of assuming a common intercept for all units, allows each unit to have its own intercept (Beck, 2001; Hsiao, 2003; Wilson & Butler, 2007).”
Gasoline Demand with Heterogeneity in Household Responses (2010, background): “The fixed effects model also fails to efficiently estimate the parameters for which the variables are persistent ( i.e. do not vary much) within a household (Beck 2001, Wilson and Butler 2007, Plümper and Troeger 2007).”
Telecommunications Reform, Internet Use and Mobile Phone Adoption in the Developing World (2009, methodology): “Given that this value is of little concern here, we have chosen to adopt the dynamic panel model as one of the estimation models for this study (Judson & Owen, 1999; Wilson & Butler, 2007).”
Two Sides of the Same Coin? Employing Granger Causality Tests in a Time Series Cross-Section Framework (2008, background): “…increasingly clear that (often untested) assumptions about the specification of TSCS models may produce quite fragile results (see Beck 2007; Wilson and Butler 2007), the development of a procedure for evaluating the assumption of causal homogeneity in TSCS models would be a valuable…”
When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data? (2019, background): “In spite of this widespread practice, much methodological discussion of unit fixed effects models in political science has taken place from model-based perspectives (often assuming linearity) with little attention to the causal identification assumptions (e.g., Beck, 2001; Wilson and Butler, 2007; B”
Does ownership matter? The performance and efficiency of State Oil vs. Private Oil (1987-2006) (2009, positive): “One, therefore, has to accept a fundamental trade-off between the total estimator, which uses all available information but cannot account for unobserved variables, and the within estimator, which implicitly controls for all time-constant variables but is unable (or, in the case of slowly moving var”
Should I Use Fixed or Random Effects? (2014, background): “…written on the theoretical properties of both approaches (for example, Kreft and DeLeeuw 1998; Robinson 1998; Kennedy 2003; Frees 2004; Gelman 2005; Wilson and Butler 2007; Arceneaux and Nickerson 2009; Wooldridge 2010; Greene 2012), recommendations for applied researchers are often confusing—or…”