Topic
External variable
About: External variable is a research topic. Over the lifetime, 115 publications have been published within this topic receiving 2430 citations.
Papers published on a yearly basis
Papers
TL;DR: The authors analyzed data from a mail survey of participants and non-participants in a premium-priced, green electricity program and analyzed their specific motives for participating, including ecosystem health, personal health, environmental quality for residents in southeastern Michigan, global warming, and warm-glow (or intrinsic) satisfaction.
830 citations
TL;DR: Using a survey of 125 employees of a U.S. Government agency, it is found, contrary to the normally accepted assumption, that external variables could have direct effects on usage behavior over and above their indirect effects.
503 citations
TL;DR: In this paper, two new methods for estimating models with nonseparable errors and endogenous regressors were proposed, one estimating the response of the conditional mean of the dependent variable to a change in the explanatory variable while conditioning on an external variable and then undoing the conditioning.
Abstract: We propose two new methods for estimating models with nonseparable errors and endogenous regressors. The first method estimates a local average response. One estimates the response of the conditional mean of the dependent variable to a change in the explanatory variable while conditioning on an external variable and then undoes the conditioning. The second method estimates the nonseparable function and the joint distribution of the observable and unobservable explanatory variables. An external variable is used to impose an equality restriction, at two points of support, on the conditional distribution of the unobservable random term given the regressor and the external variable. Our methods apply to cross sections, but our lead examples involve panel data cases in which the choice of the external variable is guided by the assumption that the distribution of the unobservable variables is exchangeable in the values of the endogenous variable for members of a group.
424 citations
TL;DR: In this article, the authors provided the results of an empirical investigation into the impact of various contextual variables on the design of the corporate budgeting system and found that the external variable represented by perceived environmental uncertainty (PEU) had a greater impact on the budget characteristics.
200 citations
1 Jan 2018
TL;DR: In this paper, a profile analysis approach of re-parameterizing the linear latent variable model in such a way that the latent variables can be interpreted in terms of profile patterns rather than factors is discussed.
Abstract: The MDS is discussed as a profile analysis approach of re-parameterizing the linear latent variable model in such a way that the latent variables can be interpreted in terms of profile patterns rather than factors. It is used to identify major patterns among psychological variables and can serve as the basis for further study of correlates and/or predictors of profiles and other background and external variables. I outline the procedure of MDS profile analysis and discuss the issues that are related to parameter estimation and interpretation of the results.
128 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 3 |
| 2024 | 2 |
| 2023 | 9 |
| 2022 | 20 |
| 2021 | 3 |
| 2020 | 6 |