Clayton Webb
Dados Biográficos
| ID | 4372298 |
|---|---|
| NOME | Clayton Webb |
| PRENOMES | Clayton |
| SOBRENOME | Webb |
| ASSINATURA | WEBB C |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 44 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2019 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 2 |
A Practical Guide to Time Series Analysis
Understanding change over time is a critical component of social science. However, data measured over time – time series – requires their own set of statistical and inferential tools. In this book, Suzanna Linn, Matthew Lebo, and Clayton Webb explain the most commonly used time series models and demonstrate their applications using examples. The guide outlines the steps taken to identify a series, make determinations about exogeneity/endogeneity,…
Experimental Methods
In this chapter, we describe the use of experimental research designs in the conduct of Foreign Policy Analysis (FPA). While experiments are not well-suited to all topics in FPA, we argue they are particularly useful for studying microfoundational questions related to public opinion and decision-making. In this chapter, we explain the primary ways experiments have been used by FPA scholars over time, describe the key concepts and terms used in ex…
Lagged Outcomes, Lagged Predictors, and Lagged Errors
Debate on the use of lagged dependent variables has a long history in political science. The latest contribution to this discussion is Wilkins (2018, Political Science Research and Methods, 6, 393–411), which advocates the use of an ADL(2,1) model when there is serial dependence in the outcome and disturbance. While this specification does offer some insurance against serially correlated disturbances, this is never the best (linear unbiased estim…
Beyond the Unit Root Question
A fundamental challenge facing applied time‐series analysts is how to draw inferences about long‐run relationships (LRR) when we are uncertain whether the data contain unit roots. Unit root tests are notoriously unreliable and often leave analysts uncertain, but popular extant methods hinge on correct classification. Webb, Linn, and Lebo (WLL; 2019) develop a framework for inference based on critical value bounds for hypothesis tests on the long‐…
Not in My Back Yard
Why does the public care more about some terrorist attacks than others? In recent years, there has been a wave of terrorist attacks carried out by similar terrorist organizations, but these attacks have produced disparate public responses. Existing research shows that terrorist attacks are more traumatic for people who live near terrorist targets, but this research cannot explain differences in public attitudes about attacks occurring in other co…
Not in My Back Yard
Why does the public care more about some terrorist attacks than others? In recent years, there has been a wave of terrorist attacks carried out by similar terrorist organizations, but these attacks have produced disparate public responses. Existing research shows that terrorist attacks are more traumatic for people who live near terrorist targets, but this research cannot explain differences in public attitudes about attacks occurring in other co…
Beyond the Unit Root Question
A fundamental challenge facing applied time‐series analysts is how to draw inferences about long‐run relationships (LRR) when we are uncertain whether the data contain unit roots. Unit root tests are notoriously unreliable and often leave analysts uncertain, but popular extant methods hinge on correct classification. Webb, Linn, and Lebo (WLL; 2019) develop a framework for inference based on critical value bounds for hypothesis tests on the long‐…
Lagged Outcomes, Lagged Predictors, and Lagged Errors
Debate on the use of lagged dependent variables has a long history in political science. The latest contribution to this discussion is Wilkins (2018, Political Science Research and Methods, 6, 393–411), which advocates the use of an ADL(2,1) model when there is serial dependence in the outcome and disturbance. While this specification does offer some insurance against serially correlated disturbances, this is never the best (linear unbiased estim…
Not in My Back Yard
Why does the public care more about some terrorist attacks than others? In recent years, there has been a wave of terrorist attacks carried out by similar terrorist organizations, but these attacks have produced disparate public responses. Existing research shows that terrorist attacks are more traumatic for people who live near terrorist targets, but this research cannot explain differences in public attitudes about attacks occurring in other co…
Beyond the Unit Root Question
A fundamental challenge facing applied time‐series analysts is how to draw inferences about long‐run relationships (LRR) when we are uncertain whether the data contain unit roots. Unit root tests are notoriously unreliable and often leave analysts uncertain, but popular extant methods hinge on correct classification. Webb, Linn, and Lebo (WLL; 2019) develop a framework for inference based on critical value bounds for hypothesis tests on the long‐…
Lagged Outcomes, Lagged Predictors, and Lagged Errors
Debate on the use of lagged dependent variables has a long history in political science. The latest contribution to this discussion is Wilkins (2018, Political Science Research and Methods, 6, 393–411), which advocates the use of an ADL(2,1) model when there is serial dependence in the outcome and disturbance. While this specification does offer some insurance against serially correlated disturbances, this is never the best (linear unbiased estim…
Experimental Methods
In this chapter, we describe the use of experimental research designs in the conduct of Foreign Policy Analysis (FPA). While experiments are not well-suited to all topics in FPA, we argue they are particularly useful for studying microfoundational questions related to public opinion and decision-making. In this chapter, we explain the primary ways experiments have been used by FPA scholars over time, describe the key concepts and terms used in ex…
A Practical Guide to Time Series Analysis
Understanding change over time is a critical component of social science. However, data measured over time – time series – requires their own set of statistical and inferential tools. In this book, Suzanna Linn, Matthew Lebo, and Clayton Webb explain the most commonly used time series models and demonstrate their applications using examples. The guide outlines the steps taken to identify a series, make determinations about exogeneity/endogeneity,…
Computer Science (3 obras) · Econometrics (2 obras) · Mathematics (2 obras) · Advanced Causal Inference Techniques (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Complex Systems and Time Series Analysis (1 obras) · Component (thermodynamics) (1 obras) · Computational and Text Analysis Methods (1 obras) · Computer security (1 obras)