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The Ñopo (2008) method of non-parametric decomposition, a matching-based alternative to Oaxaca (1973) and Blinder’s (1973) method of wage gap decomposition, is subject to the so-called “index number problem” common to the Oaxaca-Blinder and many related methods: its results are sensitive to the (arbitrary) choice of either male or female sex as the reference category in decomposition. The purpose of this paper is to address this issue by proposing an extension to the method that is invariant to the choice of reference category.

The Ñopo method is modified such that the wage structure of the average worker instead of either male or female worker’s is used as the reference, enabling one to distinguish the “male advantage” and “female advantage” portions of the gender wage gap. As an illustration, a decomposition of the gender wage gap is performed with the modified method, using data from 15 OECD countries.

The empirical results using the Ñopo decomposition indicate substantial differences in estimates of the unexplained gap depending on which sex is used as the reference category. Moreover, this disparity varies significantly with the choice of covariates used in the decomposition. This confirms there is significant cross-country variation in the asymmetry between male advantage and female disadvantage and that a decomposition method making this explicit would be relevant in real world settings.

The extension of the Ñopo method proposed in this paper offers a way of decomposing the wage gaps in a way that is not sensitive to the choice of the reference category.

The purpose of this paper is to examine the distributions of earnings and education in Portugal in the early years of European integration, 1985 and 1991, a period when Portugal experienced strong nominal convergence following EU accession.

The paper explores the information provided by relative distribution analysis and covariate (education) decomposition to study the dynamics of the earnings distribution since these methodologies allow for the identification of polarization patterns that might have occurred over the period. More standard methodological instruments are also used as a reference: cardinal measures of inequality and the Lorenz stochastic dominance approach.

The median and average earnings of employees increased and there was also a rise in earnings inequality. Relative to 1985, in 1991 there were more employees with very low earnings but also more 1991 employees with high earnings and there were also more employees at the bottom and top ends of the earnings distribution. The analysis of the relative earnings distribution by level of education reveals substantial differences for the top end of the distributions with the proportion of 1991 employees receiving the highest earnings higher than for the original 1985 cohort. A regional disaggregation confirms that the overall employees’ earnings and education distributions characteristics are determined by the behaviour of coastal regions, while in the non-coastal regions a lower level of inequality is associated with lower levels of median and average earnings and a different polarization pattern.

The paper shows that inequality is not a recent phenomenon in the Portuguese economy and thus might be one of the sources of the growth slowdown Portugal is experiencing since the turn of the century and might continue to hamper growth in the future deserving deeper investigation.

Despite the widespread use of univariate empirical mode decomposition (EMD) in financial market forecasting, the application of multivariate empirical mode decomposition (MEMD) has not been fully investigated. The purpose of this study is to forecast the stock price index more accurately, relying on the capability of MEMD in modeling the dependency between relevant variables.

Quantitative and comprehensive assessments were carried out to compare the performance of some selected models. Data for the assessments were collected from three major stock exchanges, namely, the standard and poor 500 index from the USA, the Hang Seng index from Hong Kong and the Shanghai Stock Exchange composite index from China. MEMD-based support vector regression (SVR) was used as the modeling framework, where MEMD was first introduced to simultaneously decompose the relevant covariates, including the opening price, the highest price, the lowest price, the closing price and the trading volume of a stock price index. Then, SVR was used to set up forecasting models for each component decomposed and another SVR model was used to generate the final forecast based on the forecasts of each component. This paper named this the MEMD-SVR-SVR model.

The results show that the MEMD-based modeling framework outperforms other selected competing models. As per the models using MEMD, the MEMD-SVR-SVR model excels in terms of prediction accuracy across the various data sets.

This research extends the literature of EMD-based univariate models by considering the scenario of multiple variables for improving forecasting accuracy and simplifying computability, which contributes to the analytics pool for the financial analysis community.

This paper examines the role of occupational segregation in the evolution of wage differentials by gender and race in the Brazilian labor market between 2005 and 2015.

The author uses microdata from the National Household Sample Survey and adopts two occupational integration typology to capture both horizontal and vertical segregation. The decomposition method proposed by Firpo et al. (2009) is employed to investigate the determinants of changes in differentials along the wage distribution.

Results suggest a glass ceiling effect for all groups compared to white men. Gender and racial discrimination persist, especially at the top of the distribution. For both black women and men, observable characteristics account for most of the wage differentials, while for white women, the opposite occurs because of their education level. Vertical segregation behavior indicates that white men continue over-represented in higher-paid occupations. Although women improved their relative position in the occupational hierarchy, horizontal segregation behavior shows that their concentration in female-dominated occupations has not reduced, except in extreme quantiles. Education played a crucial role in reducing wage gaps, and regional differences stood out as a significant factor of the racial disadvantage.

The paper shows significant differences between the groups regarding verticalization and horizontalization of occupational structure along the wage distribution and over time, contributing to filling some gaps in the literature concerning the wage stratification based on gender and race in Brazil. Occupational segregation as a composition factor of the groups determines their positions in a vertically hierarchical and socially stratified occupational structure. The behavior of horizontal and vertical segregations evidences the continue under-valorization of female occupations and the barriers faced by racial and gendered groups to overcome the glass ceiling effect. Recognize the intersectionality of gender and race in addressing inequalities is fundamental to promote policies that overcome them.

This study aims, firstly, to analyse the contribution of socio-economic determinants to mental health (MH) inequalities before the economic crisis, in 2006, and again in a year during recovery, 2016, and secondly, to analyse the changes in these contributions between the two points in time in Barcelona city.

The concentration index (CI) was calculated for MH inequalities for the population aged 16 or older using the Barcelona Health Surveys for 2006 and 2016. MH was measured with the 12-item General Health Questionnaire. The CI was broken down for each year and gender based on a set of socio-economic determinants plus social support and the presence of chronic diseases. The contribution of each factor to variation in MH inequality between the two points in time was analysed with Oaxaca decomposition.

Income inequalities in MH increased for men and women (a CI from −0.06 in 2006 to around −0.16 in 2016). Employment status and social class are the main contributors to MH inequalities (more than 50%), except for women in 2006 that is chronic disease. The main contribution to increases in MH inequality between 2006 and 2016 was due to unemployment (26.5% men, 23.8% women), being a student (22.8% men, 20.7% women), homemaker in women (30.7%) and men in the manual class (31.6%).

MH inequalities have been amplified between the two years among the economically vulnerable population or for those who are out of the labour market with unexpected changes for women.

Employment rates fell dramatically between March and April 2020 as the initial shock of the COVID-19 pandemic reverberated through the US labor market. This paper uses data from the CPS Basic Monthly Files to document that the employment decline was particularly severe for immigrants. Historically, immigrant men are more likely to work than native men. The pandemic-related labor market shock eliminated the immigrant employment advantage. After this initial precipitous drop, however, the employment recovery through June 2021 was much stronger for immigrants, and particularly for undocumented immigrants. The steep drop in immigrant employment at the start of the pandemic occurred partly because immigrants were less likely to work in jobs that could be performed remotely and suffered disproportionate employment losses as only workers with remotable skills were able to continue working from home. The stronger employment recovery of undocumented immigrants, relative to that experienced by natives or legal immigrants, is mostly explained by the fact that undocumented workers were not eligible for the generous unemployment insurance (UI) benefits offered to workers during the pandemic.

Using the two waves of the India Time Use Survey, 1998–1999 and 2019, we document a 110-minute (30%) increase in average daily learning time. The largest offsetting decrease was in work time: 61 minutes. The composition of leisure changed, with television rising by 19 minutes, while talking fell by 10 minutes and games by 17 minutes. We then implement a Gelbach decomposition, showing that 68 minutes of the unconditional learning increase are predicted by demographic covariates. Of these predictors the most important are a child's state of residence and usual principal activity, which captures extensive-margin transitions into schooling.

This paper aims to examine whether there are differences between the long and short-term relationship of house prices and interest rates. The elasticity of house prices to monetary policy changes, e.g. via interest rates, is from a theoretical perspective and in the long-run negative. However, house prices adapt in the short-run dynamically to economic, financial, institutional and demographic factors.

In this paper, the authors confirm the aforementioned elasticity for the Nordic housing markets but provide evidence of drastic deviations from the negative relationship. This is done by using rolling regressions in search for time-varying betas.

The empirical results show that recessionary and expansionary policy regimes play a much more important role in the development of house prices in Finland, Sweden and Norway, than in Denmark.

Further, it is shown that the relationship between house prices and monetary policy is discontinuous over time, with large deviations from the long-term beta during the past decade. This holds true especially since the beginning of the financial crisis and the expansionary monetary policy in Europe.

The purpose of this paper is to examine the wage differentials along the entire distribution between immigrants and the Australian-born.

Using the Household, Income and Labour Dynamics in Australia (HILDA) Survey, the authors apply a semi-parametric method (DiNardo et al., 1996) to decompose the distributional wage gap between immigrants and native-born Australians into composition effect and wage structure effect. The authors further apply the unconditional quantile regression (UQR) method (Firpo et al., 2007) to decompose the overall wage structure effect into contributions from individual wage covariates.

Relative to the native-born, both effects favour immigrants from English-speaking countries. For male immigrants from non-English-speaking countries (NESC) the favourable composition effect is offset by disadvantage in the wage structure effect, leaving little overall wage difference. Female immigrants from NESC are disadvantaged at the lower part of the wage distribution.

The increasingly skill-based immigration policy in Australia has increased skill levels of immigrants relative to the Australian-born. However, the playing field may yet to be equal for the recent NESC immigrants due to unfavourable rewards to their productivity factors. Also, immigrants are not homogeneous. Countries of origin and gender matter in affecting wage outcomes.

The unique wage-setting system and the increasingly skill-based immigration policy have made Australia an interesting case. The authors examine the entire wage distribution between migrants and native-born rather than focus on the mean. The authors differentiate immigrants by their country of origin and gender; and apply the UQR decomposition to identify the contributions from individual wage covariates.

This chapter examines the impact of education on income inequality in 18 Latin American countries between 2000 and 2010. This period has raised interest in the academic community because inequality has fallen across the region, after several years of consistent high levels. Employing the novel technique proposed by Firpo, Fortin, and Lemieux (2007), the author’s research provides a detailed decomposition of inequality. Three main findings emerge from the author’s results: First, the expansion of education increases inequality in six countries but reduces inequality in four countries. Second, the changes in returns to education are the driving component of the effects of education on inequality. Those countries where education contributes to a fall in inequality are those where the returns to education fell at the top of the income distribution. Third, the rise in the average years of education, considered alone, had an inequality-increasing effect in most of the countries under analysis.