scholarly journals feologit: A new command for fitting fixed-effects ordered logit models

2020 ◽  
Vol 20 (2) ◽  
pp. 253-275 ◽  
Author(s):  
Gregori Baetschmann ◽  
Alexander Ballantyne ◽  
Kevin E. Staub ◽  
Rainer Winkelmann
Keyword(s):  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Logit Models ◽  
Ordered Logit ◽  
The Social ◽  
The Standard Model ◽  
Dependent Variables ◽  
Using Data ◽  
New Community ◽  
Time Invariant

In this article, we describe how to fit panel-data ordered logit models with fixed effects using the new community-contributed command feologit. Fixed-effects models are increasingly popular for estimating causal effects in the social sciences because they flexibly control for unobserved time-invariant heterogeneity. The ordered logit model is the standard model for ordered dependent variables, and this command is the first in Stata specifically for this model with fixed effects. The command includes a choice between two estimators, the blowup and cluster (BUC) estimator introduced in Baetschmann, Staub, and Winkelmann (2015, Journal of the Royal Statistical Society, Series A 178: 685–703) and the BUC- τ estimator in Baetschmann (2012, Economics Letters 115: 416–418). Baetschmann, Staub, and Winkelmann (2015) showed that the BUC estimator has good properties and is almost as efficient as more complex estimators such as generalized method-of-moments and empirical likelihood estimators. The command and model interpretations are illustrated with an analysis of the effect of parenthood on life satisfaction using data from the German Socio-Economic Panel.

Ideology, Vote Choice, and Bureaucracy Across Time: A Longitudinal Test of the Bureau Voting Model in the United States

2015 ◽  
Vol 50 (6) ◽  
pp. 812-834 ◽  
Author(s):  
Michael Bednarczuk
Keyword(s):  
United States ◽  
The United States ◽  
Vote Choice ◽  
Logit Models ◽  
Ordered Logit ◽  
Government Employees ◽  
Generalized Ordered Logit ◽  
Using Data ◽  
Election Studies ◽  
Voting Model

How applicable is the bureau voting model to the United States? Although the literature suggests that government employees are more liberal and vote more Democratic, these findings have recently become inconsistent stateside. In addition, there are strong counterarguments to the premises of the bureau voting model. It is hypothesized that bureaucrats are neither more likely to support Democrats nor more liberal. Using data from the American National Election Studies covering a 30-year period, probit and generalized ordered logit models support these new hypotheses. These results suggest that the bureau voting model may need to be refined for the United States.

scholarly journals Can China’s Aging Population Sustain Its Entrepreneurship? Evidence of Nonlinear Effects

2020 ◽  
Vol 12 (8) ◽  
pp. 3434
Author(s):  
Hongying Yang ◽  
Jin Yu ◽  
Ching-Hui (Joan) Su ◽  
Ming-Hsiang Chen ◽  
Dahui Zhou
Keyword(s):  
Fixed Effects ◽  
Empirical Studies ◽  
Generalized Method Of Moments ◽  
Nonlinear Effects ◽  
Aging Population ◽  
Ordinary Least Squares ◽  
Positive Effects ◽  
Self Employment ◽  
Managerial Implications ◽  
Using Data

This article examines the effects of China’s aging population (in terms of the old-age dependency rate (OADR)) on entrepreneurship (in terms of dimensions of innovation (IE) and self-employment (BE)) using data from 30 provinces from 2003 to 2017. Contrary to a widespread pessimistic interpretation that describes an aging population as merely a burden on entrepreneurship, this paper illustrates some positive effects of China’s aging population on entrepreneurship in terms of IE and BE. Moreover, we introduce and test the nonlinear relationship between OADR and IE/BE. Our simple panel regression model can be utilized not only to understand the inverted U-shaped effects of an aging population on entrepreneurship, by using the ordinary least squares (OLS) method and fixed-effects (FE) in our empirical studies and the system generalized method of moments (SYSGMM) in the robustness check, but also to provide managerial implications by pointing out the “optimal OADR” and the comparative regional aging situation.

Social comparison orientation and mental health: The mediating role of psychological capital

2020 ◽  
Author(s):  
Guoliang Yang ◽  
Zhihua Wang ◽  
Weijiong Wu
Keyword(s):  
Mental Health ◽  
Social Comparison ◽  
Psychological Capital ◽  
Mediating Effect ◽  
Mediating Role ◽  
The Social ◽  
Social Comparison Orientation ◽  
Using Data ◽  
The Impact ◽  
The Relationship

Little is known about the relationship between social comparison orientation and mental health, especially in the psychological capital context. We proposed a theoretical model to examine the impact of ability- and opinion-based social comparison orientation on mental health using data from 304 undergraduates. We also examined the mediating effect of the four psychological capital components of hope, self-efficacy, resilience, and optimism in the relationship between social comparison orientation and mental health. Results show that an ability (vs. opinion) social comparison orientation was negatively (vs. positively) related to the psychological capital components. Further, the resilience and optimism components of psychological capital fully mediated the social comparison orientation–mental health relationship. Our findings indicate that psychological capital should be considered in the promotion of mental health, and that the two social comparison orientation types have opposite effects on psychological capital.

scholarly journals Country of Origin Effects on the Average Annual Values of NHL Player Contracts

2019 ◽  
Vol 7 (2) ◽  
pp. 24
Author(s):  
Aju J. Fenn ◽  
Lucas Gerdes ◽  
Samuel Rothstein
Keyword(s):  
Quantile Regression ◽  
Fixed Effects ◽  
Country Of Origin ◽  
Large Datasets ◽  
National Hockey League ◽  
Dummy Variables ◽  
Country Of Origin Effects ◽  
Performance Statistics ◽  
Career Performance ◽  
Using Data

Using data from 2005 to 2016, this paper examines if players in the National Hockey League (NHL) are being paid a positive differential for their services due to the competition from the Kontinental Hockey League (KHL) and the Swedish Hockey League (SHL). In order to control for performance, we use two different large datasets, (N = 4046) and (N = 1717). In keeping with the existing literature, we use lagged performance statistics and dummy variables to control for the type of NHL contract. The first dataset contains lagged career performance statistics, while the performance statistics are based on the statistics generated during the years under the player’s previous contract. Fixed effects least squares (FELS) and quantile regression results suggest that player production statistics, contract status, and country of origin are significant determinants of NHL player salaries.

scholarly journals Extending Geodemographics Using Data Primitives: A Review and a Methodological Proposal

2021 ◽  
Vol 10 (6) ◽  
pp. 386
Author(s):  
Jennie Gray ◽  
Lisa Buckner ◽  
Alexis Comber
Keyword(s):  
Social Dynamics ◽  
Feature Space ◽  
Social Processes ◽  
Multiple Time ◽  
Current State ◽  
Cluster Label ◽  
Static Data ◽  
The Social ◽  
Using Data

This paper reviews geodemographic classifications and developments in contemporary classifications. It develops a critique of current approaches and identifiea a number of key limitations. These include the problems associated with the geodemographic cluster label (few cluster members are typical or have the same properties as the cluster centre) and the failure of the static label to describe anything about the underlying neighbourhood processes and dynamics. To address these limitations, this paper proposed a data primitives approach. Data primitives are the fundamental dimensions or measurements that capture the processes of interest. They can be used to describe the current state of an area in a multivariate feature space, and states can be compared over multiple time periods for which data are available, through for example a change vector approach. In this way, emergent social processes, which may be too weak to result in a change in a cluster label, but are nonetheless important signals, can be captured. As states are updated (for example, as new data become available), inferences about different social processes can be made, as well as classification updates if required. State changes can also be used to determine neighbourhood trajectories and to predict or infer future states. A list of data primitives was suggested from a review of the mechanisms driving a number of neighbourhood-level social processes, with the aim of improving the wider understanding of the interaction of complex neighbourhood processes and their effects. A small case study was provided to illustrate the approach. In this way, the methods outlined in this paper suggest a more nuanced approach to geodemographic research, away from a focus on classifications and static data, towards approaches that capture the social dynamics experienced by neighbourhoods.

Using information from singletons in fixed-effects estimation: xtfesing

2020 ◽  
Vol 20 (4) ◽  
pp. 965-975
Author(s):  
Laura Magazzini ◽  
Randolph Luca Bruno ◽  
Marco Stampini
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Panel Data Regression ◽  
Data Regression ◽  
Method Of Moments Estimator ◽  
Fixed Effects Estimation

In this article, we describe the xtfesing command. The command implements a generalized method of moments estimator that allows exploiting singleton information in fixed-effects panel-data regression as in Bruno, Magazzini, and Stampini (2020, Economics Letters 186: Article 108519).

scholarly journals The Authoritarian Dynamic During the COVID-19 Pandemic: Effects on Nationalism and Anti-Immigrant Sentiment

2021 ◽  
pp. 194855062097802
Author(s):  
Todd K. Hartman ◽  
Thomas V. A. Stocks ◽  
Ryan McKay ◽  
Jilly Gibson-Miller ◽  
Liat Levita ◽  
...  
Keyword(s):  
Social Order ◽  
Situational Factors ◽  
Right Wing ◽  
Right Wing Authoritarianism ◽  
The United Kingdom ◽  
The Social ◽  
Political Outcomes ◽  
Nationally Representative ◽  
Using Data ◽  
The Relationship

Research has demonstrated that situational factors such as perceived threats to the social order activate latent authoritarianism. The deadly COVID-19 pandemic presents a rare opportunity to test whether existential threat stemming from an indiscriminate virus moderates the relationship between authoritarianism and political attitudes toward the nation and out-groups. Using data from two large nationally representative samples of adults in the United Kingdom ( N = 2,025) and Republic of Ireland ( N = 1,041) collected during the initial phases of strict lockdown measures in both countries, we find that the associations between right-wing authoritarianism (RWA) and (1) nationalism and (2) anti-immigrant attitudes are conditional on levels of perceived threat. As anxiety about the COVID-19 pandemic increases, so too does the effect of RWA on those political outcomes. Thus, it appears that existential threats to humanity from the COVID-19 pandemic moderate expressions of authoritarianism in society.

Dental Care Use, Edentulism, and Systemic Health among Older Adults

2021 ◽  
pp. 002203452110190
Author(s):  
C.D. Meyerhoefer ◽  
J.V. Pepper ◽  
R.J. Manski ◽  
J.F. Moeller
Keyword(s):  
Older Adults ◽  
Heart Disease ◽  
Chronic Illness ◽  
Dental Care ◽  
Fixed Effects ◽  
Past Research ◽  
Positive Correlations ◽  
Systemic Health ◽  
Time Invariant ◽  
Retirement Study

Past research suggests there are systematic associations between oral health and chronic illness among older adults. Although causality has not yet been credibly established, periodontitis has been found to be associated with higher risk of both heart disease and stroke. We advance this literature by estimating the direct association between dental care use and systemic health using multiple waves of the 1992 to 2016 Health and Retirement Study. Through the inclusion of individual fixed effects in our regression models, we account for unobservable time-invariant characteristics of individuals that might otherwise bias estimates of the association between dental care use and health. We find statistically significant negative associations between dental care use and the number of health conditions, self-reported overall health, the incidence of heart disease, and the incidence of stroke. In particular, the use of dental care within the past 2 y is associated with a 2.7% reduction in the likelihood of being diagnosed with a heart condition and a reduction in the likelihood of a stroke diagnosis of between 5.3% and 11.6%. We also find large positive correlations between edentulism and the measures of chronic illness. Associations from models estimated separately for men and women are qualitatively similar to one another. These findings provide additional motivation for the consideration of a Medicare dental benefit.

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