Many political science research articles that use limited dependent variable models re-port estimated quantities, in particular, fitted probabilities, predicted probabilities, and functions of such probabilities, without indicating that such estimates are subject to un-certainty. This practice, along with the reporting of “percentage correctly predicted, ” can overstate the precision of reported results. In light of this, the present article describes a variety of measures of uncertainty that authors can include alongside estimates gener-ated by limited dependent variable models. It also proposes an alternative to “percentage correctly predicted ” and illustrates its calculations with congressional cosponsorship data from Krehbiel (1995).
This study contains the information necessary to replication the paper 'Estimation Uncertainty in Vo...
Statistical analysis requires a probability model: commonly, a model for the dependence of outcomes ...
Dramatic world change has stimulated interest in research questions about the dynamics of politics. ...
Many political science research articles that use limited dependent variable models report estimated...
Models designed for limited dependent variables are increasingly common in political science. Resea...
The use of instrumental variables regression in political science has evolved from an obscure techni...
Several proxies of political-economic development, such as the Worldwide Governance Indicators, come...
Political instability has been emphasized as a major source of uncertainty in Latin America. Howeve...
A large number of different Pseudo-R"2 measures for some common limited dependent variable mode...
Uncertainty measure is used to quantify to what extent a conclusion is unsure, adding critical trans...
We investigate the construction of more precise estimates of a collection of population means using ...
Models for categorical dependent variables, such as turnout, party choice, or partisanship have elud...
Population forecasts suggest that the redistribution of the electoral college following Census 2010 ...
Research in political science is often concerned with modeling dependent variables that are proporti...
Endogeneity of explanatory variables is now receiving the concern it deserves in the empirical polit...
This study contains the information necessary to replication the paper 'Estimation Uncertainty in Vo...
Statistical analysis requires a probability model: commonly, a model for the dependence of outcomes ...
Dramatic world change has stimulated interest in research questions about the dynamics of politics. ...
Many political science research articles that use limited dependent variable models report estimated...
Models designed for limited dependent variables are increasingly common in political science. Resea...
The use of instrumental variables regression in political science has evolved from an obscure techni...
Several proxies of political-economic development, such as the Worldwide Governance Indicators, come...
Political instability has been emphasized as a major source of uncertainty in Latin America. Howeve...
A large number of different Pseudo-R"2 measures for some common limited dependent variable mode...
Uncertainty measure is used to quantify to what extent a conclusion is unsure, adding critical trans...
We investigate the construction of more precise estimates of a collection of population means using ...
Models for categorical dependent variables, such as turnout, party choice, or partisanship have elud...
Population forecasts suggest that the redistribution of the electoral college following Census 2010 ...
Research in political science is often concerned with modeling dependent variables that are proporti...
Endogeneity of explanatory variables is now receiving the concern it deserves in the empirical polit...
This study contains the information necessary to replication the paper 'Estimation Uncertainty in Vo...
Statistical analysis requires a probability model: commonly, a model for the dependence of outcomes ...
Dramatic world change has stimulated interest in research questions about the dynamics of politics. ...