scholarly journals Firms and the Decline in Earnings Inequality in Brazil

2018 ◽  
Vol 10 (1) ◽  
pp. 149-189 ◽  
Author(s):  
Jorge Alvarez ◽  
Felipe Benguria ◽  
Niklas Engbom ◽  
Christian Moser
Keyword(s):  
Fixed Effects ◽  
Earnings Inequality ◽  
High Dimensional ◽  
Firm Productivity ◽  
Large Decrease ◽  
Firm Characteristics ◽  
Fixed Effects Models ◽  
Employee Data ◽  
Shed Light

We document a large decrease in earnings inequality in Brazil between 1996 and 2012. Using administrative linked employer-employee data, we fit high-dimensional worker and firm fixed-effects models to understand the sources of this decrease. Firm effects account for 40 percent of the total decrease and worker effects for 29 percent. Changes in observable worker and firm characteristics contributed little to these trends. Instead, the decrease is primarily due to a compression of returns to these characteristics, particularly a declining firm productivity-pay premium. Our results shed light on potential drivers of earnings inequality dynamics. (JEL D22, D63, J24, J31, L25, M52, O15)

scholarly journals Worker flows, reallocation dynamics, and firm productivity: new evidence from longitudinal matched employer–employee data

2020 ◽  
Author(s):  
Elena Grinza
Keyword(s):  
Fixed Effects ◽  
Function Method ◽  
Control Function ◽  
Firm Productivity ◽  
Employment Level ◽  
Worker Mobility ◽  
Worker Flows ◽  
The Impact ◽  
New Evidence ◽  
Employee Data

Abstract This article investigates the impact of the worker flows of a firm on productivity by using unique longitudinal matched employer–employee data. The analysis has split a firm’s total worker flows into three components: workers’ replacements (excess worker flows), hirings introduced to increase the firm’s employment level (net hirings), and separations of workers intended to decrease the firm’s workforce (net separations). This has allowed the impact of workers’ replacements, which represent the most prominent and compelling feature of worker mobility, to be isolated from the other two components. Endogeneity has been dealt with by using a modified version of Ackerberg et al.'s (2015, Econometrica, 83(6), 2411–2451) control function method, which explicitly accounts for firm-fixed effects. The main findings are that (i) excess flows have an inverted U-shape impact on productivity, (ii) net hirings foster firm productivity, and (iii) net separations damage it. The impacts are heterogeneous and vary widely on the basis of the types of replacements, the categories of workers involved, and the types of firms experiencing such flows. Overall, the findings of this article highlight the importance of reallocation dynamics to obtain better employer–employee matches, and call for a reconsideration of policies concerning the flexibility of the labor market.

scholarly journals Women’s Attrition from Male-Dominated Workplaces in Norway: The Importance of Numerical Minority Status, Motherhood and Class

2021 ◽  
pp. 095001702110042
Author(s):  
Aleksander Å Madsen ◽  
Idunn Brekke ◽  
Silje Bringsrud Fekjær
Keyword(s):  
Sex Differences ◽  
Fixed Effects ◽  
Minority Status ◽  
Occupational Class ◽  
Attrition Rates ◽  
Administrative Records ◽  
Fixed Effects Models ◽  
Increased Risk ◽  
Male Dominated ◽  
Working Class Women

This study explores women’s attrition from male-dominated workplaces based on Norwegian public administrative records, covering individuals born 1945–1983, in the period between 2003 and 2013. It examines sex differences in rates of attrition and tests the significance of two commonly proposed explanations in the literature, namely the degree of numerical minority status and motherhood. It also investigates whether these explanations vary by occupational class. Selection into male-dominated workplaces is accounted for by using individual fixed effects models. The results show that attrition rates from male-dominated workplaces are considerably higher among women than among men. Moreover, the risk of female attrition to sex-balanced workplaces increases, regardless of occupational class, with increases in the percentage of males. Childbirth is associated with an increased risk of attrition to female-dominated workplaces, while having young children (⩽ 10 years old) lowered the risk. This association, however, was primarily evident among working-class women in manual occupations.

scholarly journals Association of UCP1 and UCP2 variants with diabetic retinopathy susceptibility in type-2 diabetes mellitus patients: a meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xujia Liu ◽  
Zehua Jiang ◽  
Guihua Zhang ◽  
Tsz Kin Ng ◽  
Zhenggen Wu
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Fixed Effects ◽  
Literature Search ◽  
Meta Analysis ◽  
Sensitivity Analyses ◽  
Fixed Effects Models ◽  
Type 2 Dm ◽  
Subgroup Analyses

Abstract Background Genetic association of uncoupling proteins (UCPs) variants with the susceptibility of diabetic retinopathy (DR) in diabetes mellitus (DM) patients has been reported but with controversy. Here we aimed to conduct a meta-analysis to confirm the association of different UCPs variants with DR. Methods Three databases (Medline Ovid, Embase Ovid and CENTRAL) were applied in the literature search. Five genetic models, including allelic, homozygous, heterozygous, dominant and recessive models, were evaluated. Odds ratios (OR) were estimated under the random or fixed-effects models. Subgroup analyses, publication bias and sensitivity analyses were also conducted. Results Eleven studies on 2 UCPs variants (UCP1 rs1800592 and UCP2 rs659366) were included. Our meta-analysis showed that UCP1 rs1800592 was not associated with DR in type-2 DM patients, and UCP2 rs659366 also showed no association with DR. In the subgroup analyses on the stage of DR, allele G of UCP1 rs1800592 significantly increased the susceptibility of proliferative diabetic retinopathy (PDR) in type-2 DM patients in the allelic (OR = 1.26, P = 0.03) and homozygous models (OR = 1.60, P = 0.04). Subgroup analysis on ethnicity did not found any significant association of rs1800592 and rs659366 with DR. Conclusion Our meta-analysis confirmed the association of UCP1 rs1800592 variant with PDR in patients with type-2 DM, suggesting its potential as a genetic marker for PDR prediction in population screening.

The Element of Surprise: Election Timing and Opposition Preparedness

2021 ◽  
pp. 001041402199717
Author(s):  
Charles T. McClean
Keyword(s):  
House Of Representatives ◽  
Fixed Effects ◽  
Conventional Wisdom ◽  
Economic Conditions ◽  
Alternative Mechanism ◽  
Election Campaigns ◽  
Electoral Accountability ◽  
Fixed Effects Models ◽  
Level Data ◽  
Election Timing

How can incumbent governments benefit when they control the timing of elections? The conventional wisdom is that incumbents gain an advantage by timing elections to coincide with favorable economic conditions. An alternative mechanism that has received less attention is the element of surprise: the incumbent’s ability to exploit the opposition’s lack of election preparedness. I theorize and empirically test this surprise mechanism using candidate-level data from Japanese House of Representatives elections (1955–2017). The results show that in surprise elections, opposition parties recruit fewer, lower-quality candidates, spend less money campaigning, coordinate their candidates less effectively, and ultimately receive fewer votes and seats. Evidence from fixed effects models and exogenously timed by-elections further suggest that surprise matters more in shorter, competitive election campaigns and helps incumbents more with confronting inter-party as opposed to intra-party electoral competition. These findings add to our understanding of how strategic election timing can undermine electoral accountability.

scholarly journals Is distance dying at last? Falling home bias in fixed-effects models of patent citations

10.3982/qe59 ◽  
2011 ◽  
Vol 2 (2) ◽  
pp. 211-249 ◽  
Author(s):  
Rachel Griffith ◽  
Sokbae Lee ◽  
John Van Reenen
Keyword(s):  
Fixed Effects ◽  
Home Bias ◽  
Patent Citations ◽  
Fixed Effects Models

Currency Unions and Trade: A PPML Re‐assessment with High‐dimensional Fixed Effects

2018 ◽  
Vol 81 (3) ◽  
pp. 487-510 ◽  
Author(s):  
Mario Larch ◽  
Joschka Wanner ◽  
Yoto V. Yotov ◽  
Thomas Zylkin
Keyword(s):  
Fixed Effects ◽  
High Dimensional ◽  
Currency Unions

scholarly journals Income Inequality and Population Health: A Global Gradient?

2018 ◽  
Vol 59 (4) ◽  
pp. 536-553 ◽  
Author(s):  
Michaela Curran ◽  
Matthew C. Mahutga
Keyword(s):  
Economic Development ◽  
Income Inequality ◽  
Population Health ◽  
Fixed Effects ◽  
Harmful Effect ◽  
Fixed Effects Models ◽  
Two Measures ◽  
The Relationship ◽  
Lower Population ◽  
Cross National

Cross-national empirical research about the link between income inequality and population health produces conflicting conclusions. We address these mixed findings by examining the degree to which the income inequality and health relationship varies with economic development. We estimate fixed-effects models with different measures of income inequality and population health. Results suggest that development moderates the association between inequality and two measures of population health. Our findings produce two generalizations. First, we observe a global gradient in the relationship between income inequality and population health. Second, our results are consistent with income inequality as a proximate or conditional cause of lower population health. Income inequality has a 139.7% to 374.3% more harmful effect on health in poorer than richer countries and a significantly harmful effect in 2.1% to 53.3% of countries in our sample and 6.6% to 67.6% of the world’s population but no significantly harmful effect in richer countries.

scholarly journals Asymmetric Fixed Effects Models for Panel Data

2018 ◽  
Author(s):  
Paul D Allison
Keyword(s):  
Logistic Regression ◽  
Panel Data ◽  
Opposite Direction ◽  
Difference Method ◽  
Fixed Effects ◽  
Regression Models ◽  
Social Phenomena ◽  
Logistic Regression Models ◽  
Fixed Effects Models ◽  
The Difference

Standard fixed effects methods presume that effects of variables are symmetric: the effect of increasing a variable is the same as the effect of decreasing that variable but in the opposite direction. This is implausible for many social phenomena. York and Light (2017) showed how to estimate asymmetric models by estimating first-difference regressions in which the difference scores for the predictors are decomposed into positive and negative changes. In this paper, I show that there are several aspects of their method that need improvement. I also develop a data generating model that justifies the first-difference method but can be applied in more general settings. In particular, it can be used to construct asymmetric logistic regression models.

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