Drew A Linzer
Biographic Data
| ID | 1242596 |
|---|---|
| NAME | Drew A Linzer |
| GIVEN NAMES | Drew A |
| FAMILY NAME | Linzer |
| SIGNATURE | LINZER D A |
| AFFILIATIONS | Emory University |
| VERIFIED | No |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 628 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 8 |
A Global Measure of Judicial Independence, 1948–2012
We present a new cross-national measure of de facto judicial independence, which is available for 200 countries from 1948 to 2012. To do so, we introduce a statistical measurement model for uncovering latent concepts commonly encountered in time-series, cross-sectional analyses in comparative politics and international relations. Our approach addresses unique challenges that arise in these data: temporal dependence in the observed and unobserved …
Should I Use Fixed or Random Effects
Empirical analyses in social science frequently confront quantitative data that are clustered or grouped. To account for group-level variation and improve model fit, researchers will commonly specify either a fixed- or random-effects model. But current advice on which approach should be preferred, and under what conditions, remains vague and sometimes contradictory. This study performs a series of Monte Carlo simulations to evaluate the total err…
The Future of Election Forecasting: More Data, Better Technology
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
The Relationship between Seats and Votes in Multiparty Systems
The relationship between a party's popular vote share and legislative seat share—its seats—votesswing ratio—is a key characteristic of democratic representation. This article introduces a general approach to estimating party-specific swing ratios in multiparty legislative elections, given results from only a single election. I estimate the joint density of party vote shares across districts using a finite mixture model for compositional data and …
Elite Competition, Religiosity, and Anti-Americanism in the Islamic World
The battle for public opinion in the Islamic world is an ongoing priority for U.S. diplomacy. The current debate over why many Muslims hold anti-American views revolves around whether they dislike fundamental aspects of American culture and government, or what Americans do in international affairs. We argue, instead, that Muslim anti-Americanism is predominantly a domestic, elite-led phenomenon that intensifies when there is greater competition b…
PoLCA: An R Package for Polytomous Variable Latent Class Analysis
poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line. The basic latent class model is a finite mixture model in which the component distributions are assumed to be multi-way cross-classification tables with all variables mutually independent. The latent …
Reliable Inference in Highly Stratified Contingency Tables: Using Latent Class Models as Density Estimators
Contingency tables are among the most basic and useful techniques available for analyzing categorical data, but they produce highly imprecise estimates in small samples or for population subgroups that arise following repeated stratification. I demonstrate that preprocessing an observed set of categorical variables using a latent class model can greatly improve the quality of table-based inferences. As a density estimator, the latent class model …
Household capacities, vulnerabilities and food insecurity: Shifts in food insecurity in urban and rural Ethiopia during the 2008 food crisis
The Political Economy of Women's Support for Fundamentalist Islam
Why do some Muslim women adopt fundamentalist Islamic value systems that promote gender-based inequalities while others do not? This article considers the economic determinants of fundamentalist beliefs in the Muslim world, as women look to either marriage or employment to achieve financial security. Using cross-national public opinion data from eighteen countries with significant Muslim populations, the authors apply a latent class model to char…
Lower Prices: The Impact of Majoritarian Systems in Democracies Around the World
Recent theoretical work has proposed that majoritarian electoral systems, by creating incentives for legislators to favor the interests of consumers over producers, should lead to more consumer-friendly and procompetitive regulatory policies and hence to lower real price levels. Empirical analysis confirming this effect has so far been confined to OECD democracies, but there are reasons to believe that, due to differences in state capacity and co…
Estimating Regression Models in Which the Dependent Variable Is Based on Estimates
Researchers often use as dependent variables quantities estimated from auxiliary data sets. Estimated dependent variable (EDV) models arise, for example, in studies where counties or states are the units of analysis and the dependent variable is an estimated mean, proportion, or regression coefficient. Scholars fitting EDV models have generally recognized that variation in the sampling variance of the observations on the dependent variable will i…
The 2002 California Twenty-Ninth Congressional District Race
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
Should I Use Fixed or Random Effects
Empirical analyses in social science frequently confront quantitative data that are clustered or grouped. To account for group-level variation and improve model fit, researchers will commonly specify either a fixed- or random-effects model. But current advice on which approach should be preferred, and under what conditions, remains vague and sometimes contradictory. This study performs a series of Monte Carlo simulations to evaluate the total err…
Estimating Regression Models in Which the Dependent Variable Is Based on Estimates
Researchers often use as dependent variables quantities estimated from auxiliary data sets. Estimated dependent variable (EDV) models arise, for example, in studies where counties or states are the units of analysis and the dependent variable is an estimated mean, proportion, or regression coefficient. Scholars fitting EDV models have generally recognized that variation in the sampling variance of the observations on the dependent variable will i…
The Political Economy of Women's Support for Fundamentalist Islam
Why do some Muslim women adopt fundamentalist Islamic value systems that promote gender-based inequalities while others do not? This article considers the economic determinants of fundamentalist beliefs in the Muslim world, as women look to either marriage or employment to achieve financial security. Using cross-national public opinion data from eighteen countries with significant Muslim populations, the authors apply a latent class model to char…
Elite Competition, Religiosity, and Anti-Americanism in the Islamic World
The battle for public opinion in the Islamic world is an ongoing priority for U.S. diplomacy. The current debate over why many Muslims hold anti-American views revolves around whether they dislike fundamental aspects of American culture and government, or what Americans do in international affairs. We argue, instead, that Muslim anti-Americanism is predominantly a domestic, elite-led phenomenon that intensifies when there is greater competition b…
A Global Measure of Judicial Independence, 1948–2012
We present a new cross-national measure of de facto judicial independence, which is available for 200 countries from 1948 to 2012. To do so, we introduce a statistical measurement model for uncovering latent concepts commonly encountered in time-series, cross-sectional analyses in comparative politics and international relations. Our approach addresses unique challenges that arise in these data: temporal dependence in the observed and unobserved …
Household capacities, vulnerabilities and food insecurity: Shifts in food insecurity in urban and rural Ethiopia during the 2008 food crisis
The Relationship between Seats and Votes in Multiparty Systems
The relationship between a party's popular vote share and legislative seat share—its seats—votesswing ratio—is a key characteristic of democratic representation. This article introduces a general approach to estimating party-specific swing ratios in multiparty legislative elections, given results from only a single election. I estimate the joint density of party vote shares across districts using a finite mixture model for compositional data and …
Lower Prices: The Impact of Majoritarian Systems in Democracies Around the World
Recent theoretical work has proposed that majoritarian electoral systems, by creating incentives for legislators to favor the interests of consumers over producers, should lead to more consumer-friendly and procompetitive regulatory policies and hence to lower real price levels. Empirical analysis confirming this effect has so far been confined to OECD democracies, but there are reasons to believe that, due to differences in state capacity and co…
Reliable Inference in Highly Stratified Contingency Tables: Using Latent Class Models as Density Estimators
Contingency tables are among the most basic and useful techniques available for analyzing categorical data, but they produce highly imprecise estimates in small samples or for population subgroups that arise following repeated stratification. I demonstrate that preprocessing an observed set of categorical variables using a latent class model can greatly improve the quality of table-based inferences. As a density estimator, the latent class model …
The Future of Election Forecasting: More Data, Better Technology
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
The 2002 California Twenty-Ninth Congressional District Race
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
Estimating Regression Models in Which the Dependent Variable Is Based on Estimates
Researchers often use as dependent variables quantities estimated from auxiliary data sets. Estimated dependent variable (EDV) models arise, for example, in studies where counties or states are the units of analysis and the dependent variable is an estimated mean, proportion, or regression coefficient. Scholars fitting EDV models have generally recognized that variation in the sampling variance of the observations on the dependent variable will i…
The Political Economy of Women's Support for Fundamentalist Islam
Why do some Muslim women adopt fundamentalist Islamic value systems that promote gender-based inequalities while others do not? This article considers the economic determinants of fundamentalist beliefs in the Muslim world, as women look to either marriage or employment to achieve financial security. Using cross-national public opinion data from eighteen countries with significant Muslim populations, the authors apply a latent class model to char…
Lower Prices: The Impact of Majoritarian Systems in Democracies Around the World
Recent theoretical work has proposed that majoritarian electoral systems, by creating incentives for legislators to favor the interests of consumers over producers, should lead to more consumer-friendly and procompetitive regulatory policies and hence to lower real price levels. Empirical analysis confirming this effect has so far been confined to OECD democracies, but there are reasons to believe that, due to differences in state capacity and co…
PoLCA: An R Package for Polytomous Variable Latent Class Analysis
poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line. The basic latent class model is a finite mixture model in which the component distributions are assumed to be multi-way cross-classification tables with all variables mutually independent. The latent …
Reliable Inference in Highly Stratified Contingency Tables: Using Latent Class Models as Density Estimators
Contingency tables are among the most basic and useful techniques available for analyzing categorical data, but they produce highly imprecise estimates in small samples or for population subgroups that arise following repeated stratification. I demonstrate that preprocessing an observed set of categorical variables using a latent class model can greatly improve the quality of table-based inferences. As a density estimator, the latent class model …
Household capacities, vulnerabilities and food insecurity: Shifts in food insecurity in urban and rural Ethiopia during the 2008 food crisis
The Relationship between Seats and Votes in Multiparty Systems
The relationship between a party's popular vote share and legislative seat share—its seats—votesswing ratio—is a key characteristic of democratic representation. This article introduces a general approach to estimating party-specific swing ratios in multiparty legislative elections, given results from only a single election. I estimate the joint density of party vote shares across districts using a finite mixture model for compositional data and …
Elite Competition, Religiosity, and Anti-Americanism in the Islamic World
The battle for public opinion in the Islamic world is an ongoing priority for U.S. diplomacy. The current debate over why many Muslims hold anti-American views revolves around whether they dislike fundamental aspects of American culture and government, or what Americans do in international affairs. We argue, instead, that Muslim anti-Americanism is predominantly a domestic, elite-led phenomenon that intensifies when there is greater competition b…
The Future of Election Forecasting: More Data, Better Technology
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
A Global Measure of Judicial Independence, 1948–2012
We present a new cross-national measure of de facto judicial independence, which is available for 200 countries from 1948 to 2012. To do so, we introduce a statistical measurement model for uncovering latent concepts commonly encountered in time-series, cross-sectional analyses in comparative politics and international relations. Our approach addresses unique challenges that arise in these data: temporal dependence in the observed and unobserved …
Should I Use Fixed or Random Effects
Empirical analyses in social science frequently confront quantitative data that are clustered or grouped. To account for group-level variation and improve model fit, researchers will commonly specify either a fixed- or random-effects model. But current advice on which approach should be preferred, and under what conditions, remains vague and sometimes contradictory. This study performs a series of Monte Carlo simulations to evaluate the total err…
Economics (8 works) · Mathematics (8 works) · Computer Science (5 works) · Econometrics (5 works) · Electoral Systems and Political Participation (5 works) · Political science (5 works) · Statistics (5 works) · Law (4 works) · Politics (4 works) · Sociology (4 works)