Review
Business, Finance
Jose L. Groizard, Xisco Oliver, Maria Sard
Summary: Globalization is a key driver of wage inequality in advanced economies, with wage differentials paid by exporters compared to domestic firms playing a significant role. Workers in exporting firms earn higher wages, especially in the middle to upper wage brackets. The exporter wage gap increased during and after the Great Recession, with characteristics related to firm and job heterogeneity playing a crucial role in explaining the gap.
Article
Economics
Torben Dall Schmidt
Summary: Local collective wage bargaining reduces wage gaps among labor of different nationalities, but local peer effects may increase wage gaps, especially for Polish cross-border commuters.
Article
Economics
Eunhye Kwak
Summary: This paper estimates recent trends in the motherhood wage gap (MWG) across the female wage distribution. The study found that the convergence of the MWG is mainly observed in the upper wage quantiles. The trend of the MWG is influenced by factors such as high-wage women's selection into motherhood, including living with a husband, having first births at a later age, and working long hours. The MWG has narrowed over time with widening wage dispersion among mothers and is associated with changing fertility patterns and high-wage mothers' working hours.
REVIEW OF ECONOMICS OF THE HOUSEHOLD
(2022)
Article
Green & Sustainable Science & Technology
Quocviet Bui, Zhaohua Wang, Bin Zhang, Hoang Phong Le, Kim Dung Vu
Summary: This study investigates the relationship between biomass energy and economic growth in BRICS countries using panel quantile regression with fixed effects. The results show varying impacts of biomass energy production on different levels of economic growth, as well as a bidirectional causal nexus between economic growth and biomass energy. These findings provide the basis for policy recommendations for BRICS countries.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
Hoon Choi, Raul Ramos
Summary: Korea's labor market exhibits a high level of duality, with non-regular workers facing adverse labor conditions and unions, dominated by regular workers, imposing restrictions on their entry. This study aims to analyze the wage gap between union and non-union workers in Korea, taking into account this institutional context. Using the Economically Active Population Survey (EAPS) data, which provides more recent and comprehensive information than previous studies, we examine the wage effects of union membership. Our findings reveal that voluntary non-members experience a slight wage penalty, while involuntary non-members face a substantially higher penalty, suggesting that removing regulations that impede non-regular workers from joining unions could help reduce this disparity.
JOURNAL OF THE ASIA PACIFIC ECONOMY
(2023)
Article
Economics
Marina Bonaccolto-Topfer, Carolina Castagnetti, Stephanie Prumer
Summary: This study provides new evidence on the sectoral wage gap in Germany using data from the German Socio-Economic Panel. Controlling for endogenous factors that determine occupational sector choice, the findings show that women benefit from working in the public sector, while men are disadvantaged with higher remuneration in the private sector across the wage distribution. The study highlights the importance of considering endogenous selection in assessing policy measures.
ECONOMIC MODELLING
(2022)
Article
Social Sciences, Mathematical Methods
Tobias Ruttenauer, Volker Ludwig
Summary: Fixed effects (FE) panel models have been widely used in research to control for stable heterogeneity between units. However, conventional FE models may produce biased results when there are heterogeneous slopes or growth curves related to the parameter of interest. This study introduces fixed effects individual slope (FEIS) models to overcome this issue and proposes two versions of the Hausman test to detect misspecification in FE models.
SOCIOLOGICAL METHODS & RESEARCH
(2023)
Article
Public, Environmental & Occupational Health
Haojian Dui
Summary: This paper examines the impact of COVID-19 on income and its gender differences using national micro-tracking survey data. The findings indicate that COVID-19 significantly reduces incomes, with a greater impact on men. Remote work helps mitigate income losses, particularly for women. Educational level, industry, age, and rural-urban disparities also play a role in shaping the impact of COVID-19.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Economics
Michel Candido de Souza, Mauro Sayar Ferreira, Lizia de Figueiredo
Summary: Conditional mean regressions show that economic institutions are positively correlated with regime durability, the quality of political institutions, human capital, and GDP per capita. However, dynamic panel quantile regressions reveal that the evolution of economic institutions is asymmetric. Adverse shocks worsen economic institutions in countries with better political institutions and more durable regimes, while positive innovations improve economic institutions in countries with better political institutions and longer political regimes.
APPLIED ECONOMICS LETTERS
(2023)
Article
Economics
Derick Almeida, Tiago Neves Sequeira
Summary: Using quantile regression analysis, we study the comparable elasticities of labor productivity on Robots, ICT, Non-ICT, and Software across the whole conditional distribution of labor productivity. We find an increasing elasticity of labor productivity with respect to robot density, particularly in lower robotized sectors. The elasticities towards non-ICT capital and software are higher than that towards robots, with ICT and software technologies associated with decreasing inequality and Robots with increasing inequality.
ECONOMICS OF INNOVATION AND NEW TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Cosimo Magazzino, Festus Fatai Adedoyin, Faik Bilgili, Umer Shahzad
Summary: The study investigates the relationship between tourism, income levels, and environmental degradation in the European Union (EU) after Brexit, focusing on the impact of governance. The findings suggest that as income levels increase, the influence of tourism on CO2 emissions decreases. However, per capita growth contributes to long-term carbon emissions. The study also reveals a unidirectional causal relationship from per capita growth to carbon emissions and from carbon emissions to tourism arrivals.
INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
(2023)
Article
Economics
David Powell
Summary: This paper introduces a quantile regression estimator for panel data with nonadditive fixed effects and a nonseparable disturbance term. It uses within variation in the instruments to estimate the impact of exogenous or endogenous treatment variables on the outcome distribution. Unlike most quantile panel data estimators, the proposed estimator produces consistent estimates for small T. The paper also estimates the effect of the 2008 tax rebates on the short-term household consumption distribution.
EMPIRICAL ECONOMICS
(2022)
Article
Criminology & Penology
Xiaoshuang Iris Luo, Cyrus Schleifer
Summary: A significant amount of literature exists on the gender wage gap in the national labor market and specific occupations. However, few studies have examined how occupational career change affects gender wage inequality. This study focuses on the police sector, a highly unionized and hyper-masculine occupation, to explore the wage changes and implications for men and women.
Article
Economics
Degui Li, Qi Li, Zheng Li
Summary: This article investigates the nonparametric estimation of a conditional quantile function with mixed discrete and continuous covariates, introducing a new local linear smoothing technique. The proposed approach utilizes a fully data-driven cross-validation method to select bandwidths and derives asymptotic optimality theory. Simulations demonstrate that the method performs well compared to existing methods.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
(2021)
Article
Statistics & Probability
Yuanqing Zhang, Jiayuan Jiang, Yaqin Feng
Summary: This paper studies a penalized quantile regression method for spatial panel models with fixed effects. By shrinking the individual fixed effects to a common value using a penalized approach, additional variability is controlled. The instrumental variables quantile regression method is applied to reduce bias. The paper provides limiting properties of the proposed estimator, including consistency and asymptotic normality. Monte Carlo simulations are conducted to demonstrate the finite sample behavior of the estimation methods. An empirical application to military expenditure data from 144 countries over 15 years is also presented to illustrate the use of the procedures.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
(2023)
Article
Economics
Zhongjian Lin, Yingyao Hu
Summary: This paper proposes a binary choice model with misclassification and social interactions to address the misclassification problems in social interactions studies. The identification of the conditional choice probability of the latent dependent variable is achieved using repeated measurements and a monotonicity condition. The complete likelihood function is constructed from the two repeated measurements, and a nested pseudo likelihood algorithm is proposed for estimation. Consistency and asymptotic normality results are shown for the proposed estimation method.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Ji Hyung Lee, Yuya Sasaki, Alexis Akira Toda, Yulong Wang
Summary: Administrative data, often presented as tabulated summaries for confidentiality reasons, can be more easily accessed in this form. In this study, the authors propose a novel nonparametric density estimation method based on maximum entropy and demonstrate its consistent results. The method does not require tuning parameters and provides a closed-form density for further analysis. The authors apply this method to estimate the income distribution using tabulated summary data from U.S. tax returns.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Di Wang, Yao Zheng, Guodong Li
Summary: This paper proposes a new modeling framework for modeling and forecasting high-dimensional tensor-valued time series using the autoregression method. By considering a low-rank Tucker decomposition, this method can flexibly capture the underlying low-dimensional tensor dynamics, achieving dimension reduction and multidimensional dynamic factor interpretations. The paper also studies different estimation methods and their non-asymptotic properties under different low-rank settings.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Hongfei Wang, Binghui Liu, Long Feng, Yanyuan Ma
Summary: This study addresses the problem of testing mutual independence of high-dimensional random vectors and proposes a series of high-dimensional rank-based max-sum tests. Through extensive simulations and real data analysis, the superiority of these tests is demonstrated.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Julian Martinez-Iriarte, Gabriel Montes-Rojas, Yixiao Sun
Summary: This paper analyzes the unconditional effects of a general policy intervention, including location-scale shifts and simultaneous shifts. The study finds that failing to account for these shifts may lead to incorrect assessment of the potential policy effects on the outcome variable of interest.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Karim Chalak
Summary: This paper generalizes the Gini-Frisch bounds to accommodate nonparametric heterogeneous effects and provides suitable conditions for their application in nonparametric nonseparable equations.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Koki Fusejima
Summary: In this paper, sufficient conditions for identifying treatment effects on continuous outcomes are established in endogenous and multi-valued discrete treatment settings with unobserved heterogeneity. The monotonicity assumption for multi-valued discrete treatments and instruments is employed, and the identification condition has a clear economic interpretation. Additionally, the local treatment effects in multi-valued treatment settings are identified, and closed-form expressions of the identified treatment effects are derived.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Li Hou, Baisuo Jin, Yuehua Wu
Summary: The spatiotemporal modeling of networks is highly significant in epidemiology and social network analysis. This research proposes a method for estimating the parameters of spatial dynamic panel models effectively and efficiently. The study also introduces a complex orthogonal greedy algorithm for variable selection and incorporates fixed effects into the model. Extensive simulation studies and data examples demonstrate the effectiveness of the proposed method.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Weilun Zhou, Jiti Gao, David Harris, Hsein Kew
Summary: This paper discusses the estimation of a semi-parametric single-index regression model that allows for nonlinear predictive relationships. The presence of cointegrated predictors balances the nonstationarity properties of the predictors with the stationarity properties of asset returns and avoids the curse of dimensionality. In an empirical application, it is found that using cointegrated predictors produces better out-of-sample forecasts.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Eric Beutner, Alexander Heinemann, Stephan Smeekes
Summary: This paper proposes a fixed-design residual bootstrap method for the two-step estimator associated with the conditional Value-at-Risk. The consistency of the bootstrap is proven for a general class of volatility models, and intervals are constructed for the conditional Value-at-Risk. Simulation results show that the reversed-tails bootstrap interval provides accurate coverage compared to the equal-tailed percentile bootstrap interval.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Federico M. Bandi, Davide Pirino, Roberto Reno
Summary: The article examines the staleness of asset prices, including systematic (market-wide) staleness and idiosyncratic (asset specific) staleness. The authors provide a limit theory based on joint asymptotics, utilizing increasingly-frequent observations and an increasing number of assets. They introduce novel structural estimates of systematic and idiosyncratic measures of liquidity obtained solely from transaction prices, and assess the economic signal contained in these estimates using suitable metrics.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Vassilis Hajivassiliou, Frederique Savignac
Summary: The paper develops new methods for establishing coherency and completeness conditions in Static and Dynamic Limited Dependent Variables (LDV) Models. It characterizes the two distinct problems as empty-region incoherency and overlap-region incoherency or incompleteness and shows that the two properties can co-exist. The paper focuses on the class of models that can be Simultaneously Incomplete and Incoherent (SII) and proposes estimation strategies based on Conditional Maximum Likelihood Estimation (CMLE) for simultaneous dynamic LDV models.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Thomas Macurdy, David Glick, Sonam Sherpa, Sriniketh Nagavarapu
Summary: In a successful transition from youth to adulthood, individuals go through a series of roles in school, work, and family formation, culminating in becoming self-sufficient adults. However, some disconnected youth spend significant time outside of any role that leads to adult independence. Understanding the meaning of disconnection, the number of disconnected youth, their characteristics, and how the problem has evolved is essential in assisting these youth. Using comprehensive data, a study examined disconnection spells and found that in the early 2000s, approximately 19% of young men and 25% of young women experienced disconnection before the age of 23. These rates were even higher for certain sub-groups, reaching over 30% for some. The study also revealed that the majority of disconnected youth remained disconnected for more than a year, but once reconnected, they typically stayed connected for at least three years. The findings highlight the need for targeted interventions to prevent lengthy disconnection spells.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Jean-Jacques Forneron
Summary: This paper develops an approach to detect identification failure in moment condition models by introducing a quasi-Jacobian matrix. The quasi-Jacobian matrix is singular when local and/or global identification fails, and equivalent to the usual Jacobian matrix when the model is globally and locally identified. A simple test is introduced to conduct subvector inferences allowing for various levels of identification without prior knowledge about the underlying identification structure.
JOURNAL OF ECONOMETRICS
(2024)
Article
Economics
Zhao Chen, Vivian Xinyi Cheng, Xu Liu
Summary: This paper focuses on the testing problems of high-dimensional quantile regression and proposes a new test statistic based on the quantile regression score function. The paper investigates the limiting distributions of the proposed test statistic and shows through Monte Carlo simulations and empirical analysis that the proposed method outperforms existing methods in terms of controlling error rate and power.
JOURNAL OF ECONOMETRICS
(2024)