The Pareto distribution has been widely used to model income distribution and inequality. The tail index and the Gini index are typically computed by iteration using Maximum Likelihood and are usually interpreted in terms of the Lorenz curve. We derive an alternative method by considering a...

Purpose - This paper examines the effect of specific macroeconomic variables on tax revenue policy in Oman, as an oil-dependent economy, using annual data from 1991 to 2020. Design/methodology/approach - The autoregressive distributed lag model is used, and its outcomes were verified by numerous...

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

This paper examines how an often-overlooked source of pay transparency-the public disclosure of tax information-affects gender wage gaps. We exploit a 2001 change in Norway that made individual tax returns searchable online. Using matched employer-employee data and a differencein-differences...

Germany has introduced a comprehensive package of staggered business tax breaks to accelerate business investment and give new momentum to economic growth. The key components of the so-called investment booster program are a temporary tax write-off on machinery and other equipment investments to...

We investigate the long-run relationship between organized crime and corruption using data from 20 Italian regions over 30 years. As Rose-Ackerman and Palifka (2018) argue, corruption and organized crime often go together. Our study contributes to the literature in several ways in terms of...

This paper provides a critical examination of the empirical basis of the output convergence debate in the light of recent developments in the analysis of dynamic heterogeneous panels with interactive effects. It shows that popular tools such as Barro's cross-country regressions and two-way fixed...

This paper investigates the relationship between corporate income tax rates (CITR) and firm-level productivity growth using AMADEUS data of 304,410 observations from 79,842 European firms from 2006 to 2019. The results imply a robust non-linear relationship: higher CITRs are positively...

We estimate monetary wage returns to academic-track education, Germany’s elite secondary school type granting university entrance. Because academic-track attendance and subsequent university education are institutionally linked, we disentangle their contributions using a causal mediation...

We propose a nonparametric framework for estimating the extremal index that captures the persistence of extreme observations. The framework provides unified and simple procedures for verifying the well-known local dependence condition D(ᵈ) (un), which characterizes the extremal index yet is...

Many instrumental variables applications specify a single Bernoulli treatment. But instruments may change outcomes through multiple pathways or by varying treatment intensity. Lottery instruments that boost charter school enrollment, for instance, may affect outcomes by lengthening time enrolled...

We put forward a Dynamic Regularized Parametric (DRP) approach for active portfolio policies. We build upon the parametric policy framework of Brandt et al. (2009) that directly links the portfolio weights to a limited set of asset characteristics. This yields a parsimonious specification that...

This paper provides large-scale evidence linking the economic effects of childcare programs to social skills measured in adulthood. We examine Finland's first national public childcare program, and document that it increased parental labor supply - through retirement - while reducing the...

This paper introduces Bai-Perron structural break detection combined with negative binomial regression to model overdispersed U.S. IPO count data. Using monthly data from 1995 to 2024, we identify five breaks that partition IPO activity into six distinct regimes, each with fundamentally...

The output gap is a key guide for economic policymaking and analysis. It is often used to quantify inflationary pressures and thus plays a central role in Danmarks Nationalbank's assessment of the state of the Danish economy. This paper refines Danmarks Nationalbank's existing production...

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

The yield curve is widely regarded as a powerful descriptor of the economy and market expectations. A common approach to its statistical representation relies on a small number of factors summarizing the curve, which can then be used to forecast real economic activity. We argue that optimal...

This paper investigates persistence in the MINT (Mexico, Indonesia, Nigeria, Turkey) stock markets applying fractional integration methods to daily data from 1 January 2022 to 31 October 2025. Different model specifications are estimated for prices, log prices and log returns under the...

I develop and estimate a life-cycle discrete-choice model of fertility and female labor supply to study the optimal design of a range of child-related policies. First, I examine two German reforms that introduced wage-contingent parental leave payments and expanded access to low-cost public...

We investigate the impact of structural shocks on the joint distribution of future real GDP growth and inflation in the euro area. We model the conditional mean of these variables, along with selected financial indicators, using a VAR and perform quantile regressions on the VAR residuals to...

The rare access to exact official geocoordinates opens new methodological possibilities for analyzing highly sensitive tax data. We explore their visualization potential and systematically evaluate aggregation as an anonymization strategy, with particular attention to its methodological and...

We examine the state dependence of monetary policy transmission and the parameters of the Phillips curve, dynamic IS equation, and Taylor rule across four regimes defined by joint deviations of inflation from the Federal Reserve's target and output from potential. The analysis uncovers important...

This study examines the systemic operational risk in Morocco's banking sector using a Panel VAR model based on data from three banks over ten years. The model includes real GDP, interbank rate (TMP), and bank credit, alongside indicators of operational, credit, and liquidity risks. The Impulse...

The availability of geocoordinates offers valuable insights into spatial patterns of economic, demographic and health outcomes. However, disclosing the exact geolocation of statistical units to secondary analysts contravenes the responsible use of data. To protect privacy, anonymisation methods...

This paper investigates the long-term economic consequences of childhood nutrition in the Philippines, focusing on the mediating roles of cognitive development and schooling. Using longitudinal data from the Cebu Longitudinal Health and Nutrition Survey (CLHNS), we apply a sequential mediation...

This research aimed to identify existence of a New Keynesian Phillips Curve in Vietnam. The examined period was 2012Q2 - 2025Q2, using secondary macroeconomics data and the Generalised Moments Method at 95% level of confidence. The dependent variables were price inflation and wage inflation,...

This article investigates the dynamic interrelationships between the shadow economy, inflation, and economic growth in 15 countries of the Middle East and North Africa (MENA) region over the period 1991-2017. The study employs a simultaneous equations framework estimated through the Three-Stage...

Forecasts that minimize mean squared forecast error (MSE) often exhibit excessive volatility, limiting their practical applicability. We address this accuracy smoothness trade-off by introducing a Multivariate Smooth Sign Accuracy (M-SSA) framework, which extracts smoothed components from...