Instrumental Variable Quantile Regression Research Articles

Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations

This study examines the effect of government ideology on carbon dioxide emissions along the entire length of the conditional distribution of the dependent variable (i.e., carbon dioxide emissions) using the instrumental variable quantile regression technique with fixed effects in a balanced panel of 65 countries over the period of 1981–2012. The estimation results indicate that government ideology is a significant determinant of carbon dioxide emissions only in the lower quantiles of the distribution. Specifically, the left-wing governments are associated with lower carbon dioxide emissions among the least polluted countries. Contrarily, the effect of government ideology on carbon dioxide emissions is statistically insignificant in the median and upper quantiles of the distribution, suggesting that government ideology does not have significant influences on carbon dioxide emissions among the median and most polluted nations. It was also found that the effects of government ideology on carbon dioxide emissions differ remarkably at different quantiles of the distribution in developed and developing countries.

Labor Density and Wages in Spain: Evidence from Geographically Disaggregated Data

AbstractIn this paper, Ciccone's () approach is applied to the Spanish case in 2011 but by estimating it using local labor markets (LLMs) instead of NUTS‐2 or NUTS‐3 regions. It is especially relevant in the case of Spain because the NUTS‐3 (provinces) are large regions in comparison with other cases in Europe. From a sample of income taxpayers published by the Spanish Fiscal Studies Institute, we derive figures on average wages by worker on the scale of LLMs. We argue that working at this level of spatial disaggregation is more in line with the idea of externalities from agglomerations, which are generated on a local scale. We can also observe intra‐regional heterogeneity and how the urban wage premium changes along the entire distribution of cities, including small‐medium size urban areas or rural areas. The empirical analysis is based on several estimation strategies, namely, ordinary least squares, two‐stages least squares, quantile regressions (QR), and instrumental variable quantile regressions (IVQR) estimators; they all find a significantly positive effect of agglomeration in the conditional mean of wages. This result can be estimated along the conditional distribution of wages. According to the QR and IVQR estimates, important variations are found along the distribution.

The impact of host language proficiency across the immigrants\u2019 earning distribution in Spain

This paper explores the impact of Spanish language proficiency on immigrant earnings in Spain using an instrumental variable quantile regression approach. The impact is on average roughly 17.2% but varies substantially across the earning distribution. The return to destination language proficiency actually ranges from zero at the bottom quantiles to 30% at the top quantile of the earning distribution. These findings suggest that the benefits derived from host language knowledge are particularly important among individuals with stronger unobserved abilities and marketable skills and that language training policies targeted at specific immigrant population categories may be ineffective from a labor market earning perspective.JEL Classification: F22, J24, J61

DOES GLOBALIZATION PROMOTE GOOD GOVERNANCE IN AFRICA? An Empirical Study across 51 Countries

This study investigates the effect of globalization on governance in 51 African countries for the period 1996–2011. Four bundled governance indicators and four globalization (political, economic, social, and general) variables are used. The empirical evidence is based on instrumental variable quantile regressions. The motivation for using this estimation technique is that blanket governance–globalization policies are not likely to succeed unless they are contingent on initial levels of governance and tailored differently across countries with low, intermediate, and high levels of governance. The following findings are presented. First, globalization does, in fact, appear to promote good governance. Second, for the most part, the effect of globalization is higher in terms of magnitude in the bottom quantiles of the political, institutional, and general governance distributions. Third, the impact of globalization is overwhelmingly higher in terms of magnitude in the top quantiles of the economic governance distribution.

Firm performance and boardroom gender diversity: A quantile regression approach

We investigate the relation between firm performance and boardroom gender diversity using quantile regression methods. Using annual data on over 3000 US firms from 2007 to 2014, we show that the presence of women on the board has a positive effect on firm performance, and this effect varies at different parts of the performance distribution. Critically, we demonstrate that the presence of women directors alters the dispersion of firm performance. Our quantile regression results suggest that female directors have a significantly larger positive impact in high-performing firms relative to low-performing firms. The board gender diversity effect is not homogeneous as assumed in previous research. In addition, we account for the endogenous selection of women to the board. Using instrumental variable quantile regression, we find that in general there is a positive correlation between firm performance and board gender diversity. Overall, we suggest that boardroom gender diversity has an effect on both the conditional mean and the dispersion of firm performance, and quantile regression adds value to the empirical examination of the performance impact of board gender diversity.

The income elasticity of household energy demand: a quantile regression analysis

ABSTRACTThis article examines variation in the income elasticity of household energy demand across the energy expenditure distribution using expenditure data from the five most recent Household Budget Surveys (HBSs) in Ireland: the 1987, 1994/1995, 1999/2000, 2004/2005 and 2009/2010 HBS. The analysis uses a two-stage instrumental variable quantile regression approach and is based on each HBS cross section, as well as the overall pooled observations. The estimated elasticities are compared across low- and high-energy-consumption scenarios and to a benchmark elasticity estimated using two-stage least squares. The results provide evidence that there is significant variation in the income elasticities across the energy expenditure distribution and that care must be taken when using the constant mean elasticity for policy purposes. More specifically, any examination of the future impact of a change in income support policy measures on energy consumption should recognize the substantial context-dependent variation in the income elasticity.

Remittances and household nutrition: evidence from rural Kilimanjaro in Tanzania

This paper examines the role of remittances in the livelihoods of households in developing countries. Previous studies have shown that remittances are mostly utilized for investment in estates, agricultural inputs or education; however, remittances may also be useful for smoothing consumption by poor rural households. Hence, we estimated the differences in consumption patterns for macronutrients and micronutrients between remittance recipients and non-recipients using data from Kilimanjaro, Tanzania. An instrumental variable strategy was adopted in econometric estimations of nutrient consumption to address issues of self-selection and endogeneity of net income and remittances. Furthermore, the instrumental variable quantile regression method was used to estimate the distributional effects of remittances. A major finding was that remittances increased investment in intake of nutrients such as proteins, vitamin A, vitamin C and calcium; these are nutrients that are vitally important for physical development of children and for improving the health of adults. Remittances did not have a significant effect on consumption of macronutrients such as carbohydrates and fats, or total calories.

A branch-and-bound algorithm for instrumental variable quantile regression

This paper studies a statistical problem called instrumental variable quantile regression (IVQR). We model IVQR as a convex quadratic program with complementarity constraints and—although this type of program is generally NP-hard—we develop a branch-and-bound algorithm to solve it globally. We also derive bounds on key variables in the problem, which are valid asymptotically for increasing sample size. We compare our method with two well known global solvers, one of which requires the computed bounds. On random instances, our algorithm performs well in terms of both speed and robustness.

Heterogeneous returns to education over the wage distribution: Who profits the most?

This study presents evidence of heterogeneous returns to education over the wage distribution. The authors use instrumental variable quantile regression and data from the Swiss Labor Force Survey to identify the causal link between education and wages at different quantiles of the conditional distribution of wages. The results provide evidence that there is no unique causal effect of schooling and that for each individual the effect may deviate from those extensively documented by ordinary least squares or two-stage least squares. In particular, while ordinary quantile regression estimates increasing returns in the quantile index, once the endogeneity of schooling is taken into account the authors instead observe higher returns at lower quantiles of the wage distribution. Interpreting the quantile index as a measure of unobserved ability, the results suggest that higher-ability individuals have higher wages, but the slope of their wage-education profile is flatter than that for lower-ability individuals.

Does Globalization Promote Good Governance in Africa? An Empirical Study Across 51 Countries

This study investigates the effect of globalisation on governance in 51 African countries for the period 1996-2011. Four bundled governance indicators and four globalisation (political, economic, social and general) variables are used. The empirical evidence is based on Instrumental Variable Quantile Regressions. The motivation for the estimation technique is that blanket governance-globalisation policies are not likely to succeed unless they are contingent on initial levels of governance and tailored differently across countries with low, intermediate and high levels of governance. The following findings are established. First, globalisation promotes good governance. Second, for the most part, the effect of globalisation is higher in terms of magnitude in the bottom quantiles of the political, institutional and general governance distributions. Third, the impact of globalisation is overwhelmingly higher in terms of magnitude in the top quantiles of the economic governance distribution.

Quantile Treatment Effects in the Presence of Covariates

This paper proposes a method to estimate unconditional quantile treatment effects (QTEs) given one or more treatment variables, which may be discrete or continuous, even when it is necessary to condition on covariates. The estimator, generalized quantile regression (GQR), is developed in an instrumental variable framework for generality to permit estimation of unconditional QTEs for endogenous policy variables, but it is also applicable in the conditionally exogenous case. The framework includes simultaneous equations models with nonadditive disturbances, which are functions of both unobserved and observed factors. Quantile regression and instrumental variable quantile regression are special cases of GQR and available in this framework.

A Quantile Regression Approach to Panel Data Analysis of Health Care Expenditure in OECD Countries

This article investigates the variation in the effects of various determinants on the per capita health care expenditure. A total of 28 OECD countries are studied over the period 1990-2012, employing an instrumental variable quantile regression method for a dynamic panel model with fixed effects. The results show that the determinants of per capita health care expenditure do vary with the distribution of the health care expenditure growth, while the change patterns are dissimilar. Specifically, the lagged health spending has a significantly positive effect, with an effect that decreases towards the higher quantiles of of per capita health care expenditure. Per capita GDP has a significantly positive effect, both the short and long run income elasticities are smaller than one, and health care is a necessity. The density of physicians only has a significant negative effect at the lower tail of the distribution. The elderly population has the reverse effect at the lower and upper tails, and this shows an upward trend with the increase in health expenditure growth. Life expectancy has an effect similar to the proportion of the old. Variable representing Baumol's model of unbalanced growth theory has a significantly positive effect, and the change pattern of its influence shows a marked upward trend. However, one component of Baumol variable, labor productivity, only shows significant effect in the low half of the distribution. More attention needs to be paid to the influence of determinants in health expenditure study.

The Effect of Work First Job Placements on the Distribution of Earnings: An Instrumental Variable Quantile Regression Approach

Government employment programs for low-skilled workers typically emphasize rapid placement of participants into jobs, of which many are temporary-help jobs. Using data from Detroit’s welfare-to-work program and the Chernozhukov-Hansen instrumental variables quantile regression method, we find that neither direct-hire nor temporary-help job placements significantly affect the lower tail of the earnings distribution. In the upper tail, direct-hire placements yield sizable earnings increases for over half of participants, while temporary-help placements yield significant earnings losses at higher quantiles. Our results cast doubt on the efficacy of employment programs’ exclusive focus on rapid job placement and their widespread reliance on temporary-help placements.

The Dynamics of Adolescent Depression: An Instrumental Variable Quantile Regression with Fixed Effects Approach

Summary The paper employs a recently developed instrumental variable approach for the estimation of dynamic quantile regression models with fixed effects to model the dynamics of health outcomes. Our proposed estimator not only allows us to control for individual-specific heterogeneity via fixed effects in the dynamic quantile regression framework but may also reduce the bias that exists in conventional fixed effects estimation of dynamic quantile regression models with small numbers of time periods. Using data on the children of the US National Longitudinal Survey of Youth 1979 cohort, we examine the extent of true state dependence in youth depression conditional on unobserved individual heterogeneity and family socio-economic status. Our results suggest that true state dependence in youth depression among the survey respondents is very low and the observed positive association between previous and current depression is mainly due to time invariant unobserved individual heterogeneity.

The effect of the water tariff structures on the water consumption in Mallorcan hotels

AbstractTourism increases water demand, especially in coastal areas and on islands, and can also cause water shortages during the dry season and the degradation of the water supply. The aim of this study is to evaluate the impact of water price structures on hotel water consumption on the island of Mallorca (Spain). All tourist municipalities on the island use different pricing structures, such as flat or block rates, and different tariffs. This exogenous variation is used to evaluate the effect of prices on water consumption for a sample of 134 hotels. The discontinuity of the water tariff structure and the fixed rate, which depends on the number of hotel beds, generate endogeneity problems. We propose an econometric model, an instrumental variable quantile regression for within artificial blocks transformed data, to solve both problems. The coefficients corresponding to the price variables are not found to be significantly different from zero. The sign of the effect is negative, but the magnitude is negligible: a 1% increase in all prices would reduce consumption by an average of only 0.024%. This result is probably due to the small share of water costs with respect to the total hotel operational costs (around 4%). Our regression model concludes that the introduction of water‐saving initiatives constitutes an effective way to reduce consumption.

Do remittances improve income inequality? An instrumental variable quantile analysis of the Kenyan case

The impact of remittances on income inequality constitutes a keenly debated topic in the development literature. Yet, a consensus still has not evolved on the issue. This paper explores the argument that the adverse distributional impact of remittances obtained by a number of studies could partially be due to the failure to control for existing differentials in the ability to migrate. We test the impact of remittances on household expenditures using data from the Kenyan Migration Household Survey and employing an instrumental variable quantile regression model to control for the unequal access to migration of rich and poor households. Our results indicate that while remittances increase household expenditure at all levels of the expenditure distribution, the impact is unambiguously greatest for poorer households. Hence, remittances, in and of themselves, improve both poverty and the distribution of income. This suggests that if remittances are to provide an impetus to development, recipient economies need to alleviate the credit constraints that restrict access to migration for the poor and the ability to send money home once the access bar has been overcome.

Performance related pay, productivity and wages in Italy: a quantile regression approach

Purpose– The purpose of this paper is to analyse the role of performance-related pay (PRP) on productivity and wages of Italian firms.Design/methodology/approach– A unique data set for the Italian economy, obtained from the ISFOL Employer and Employee Surveys (2005, 2007, 2010), is used to estimate the relationship between PRP, labour productivity and wages, also controlling for an ample set of covariates. The authors performed standard quantile regressions (QRs) to investigate heterogeneity in associations of PRP with labour productivity and wages. In a second stage, the endogeneity of PRP was taken into account by using instrumental variable QR techniques.Findings– The econometric estimates suggests that PRP are incentive schemes that substantially lead to efficiency enhancements and wage gains. These findings are confirmed for firms under union governance and suggest that well-designed policies, that circumvent the limited implementation of PRP practices, would guarantee productivity improvement and wage premiums for employees.Research limitations/implications– The main limitation of the findings concerns PRP data, that do not offer statistical information on different types of schemes, at group or individual level.Originality/value– This paper is the first to investigate, on a national scale for the Italian economy, the role of PRP on both productivity and wages, in order to shed light on the efficiency and distributive implications, whereas most of the studies of related literature are restricted to one of those aspects.

Heterogeneous Effects of Maternal Labor Market Participation on Nutritional Status of Children: Empirical Evidence From Rural India

We use a dataset of rural Indian households to investigate the effects of maternal participation in labor markets on child nutrition (the standardized height-for-age). Our study differs methodologically from previous research in this realm in that we are using an instrumental variable quantile regression framework in order to estimate the causal effects of maternal work at various locations of the height-for-age distribution in rural India. The quantile estimates provide evidence of large heterogeneity in the effect of a mother’s work on child nutrition. In particular, the results suggest that it is children in the lower tail of the distribution who experience more sizable ‘nutritional premiums’ due to maternal labor market participation; the effects are small and insignificant for children in the rest of the distribution.

SMOOTHED ESTIMATING EQUATIONS FOR INSTRUMENTAL VARIABLES QUANTILE REGRESSION

The moment conditions or estimating equations for instrumental variables quantile regression involve the discontinuous indicator function. We instead use smoothed estimating equations (SEE), with bandwidth h. We show that the mean squared error (MSE) of the vector of the SEE is minimized for some h > 0, leading to smaller asymptotic MSE of the estimating equations and associated parameter estimators. The same MSE-optimal h also minimizes the higher-order type I error of a SEE-based χ2 test and increases size-adjusted power in large samples. Computation of the SEE estimator also becomes simpler and more reliable, especially with (more) endogenous regressors. Monte Carlo simulations demonstrate all of these superior properties in finite samples, and we apply our estimator to JTPA data. Smoothing the estimating equations is not just a technical operation for establishing Edgeworth expansions and bootstrap refinements; it also brings the real benefits of having more precise estimators and more powerful tests.

Do quantitative monetary targets matter?

This paper evaluates the effects of monetary policy directed at inflation across different levels using panel data quantile regression and instrumental variable quantile regression methods. We identify a heterogeneous and nonlinear relationship between an explicit quantitative goal for monetary policy and inflation after controlling for the problem of possible endogeneity. We also find that both having and successfully hitting quantitative targets is more effective for monetary policy in lowering inflation in high-inflation episodes than in low-inflation episodes. When countries suffer from severe inflation problems, the adoption of quantitative goals for monetary policies can thus deliver important economic gains. Conversely, the adoption of quantitative goals may not result in a lowering of inflation when countries are more economically sound.