We propose the double robust Lagrange multiplier (DRLM) statistic for testing hypotheses specified on the minimizer of the population continuous updating objective function. The (bounding) χ2 limiting distribution of the DRLM statistic is robust to both misspecification and weak identification,...

We develop a practical way of addressing the Errors-In-Variables (EIV) problem in the Generalized Method of Moments (GMM) framework. We focus on the settings in which the variability of the EIV is a fraction of that of the mismeasured variables, which is typical for empirical applications. For...

Governments across the globe are implementing stricter environmental policies to combat climate change and promote sustainability. This study contributes to the growing literature exploring the influence of environmental policy on skill-biased employment across various occupations. Specifically,...

Using a dynamic panel dataset of 150 countries for the period of 2006-2018 and a twostep system GMM estimation model, this paper shows that natural resources have a positive effect on economic development while holding corruption constant. Our findings support the notion that natural resources...

Evidence on how energy poverty persistence and vulnerability to key factors are distributed across different population groups remains scarce. This paper seeks to bridge this gap by analyzing the dynamics and determinants of energy poverty within population clusters. The significance of the...

In the last few decades, the study of ordinal data in which the variable of interest is not exactly observed but only known to be in a specific ordinal category has become important. In Psychometrics such variables are analysed under the heading of item response models (IRM). In Econometrics,...

Contrary to claims in studies on financial economics, a sparse database often obscures the identification of parameters in macroeconomic models. These identification problems originate from the poorly defined mapping between a structural model and reduced-form parameters. Hence, researchers rely...

This study investigates the impacts of fintech adoption, financial inclusion, and financial integration on income inequality in European countries. Utilising panel data from European nations and employing Generalised Method of Moments (GMM) regression models, we examine the relationships between...

The article deals with modelling of two-dimensional financial data set using Weibull distribution extended to two-dimensional setting. The generalization in two dimensions is not direct, it goes through representation of one-dimensional asymmetric Laplace distribution. The characteristics of the...

Identifying populations at risk of deprivation is crucial for effective policy design. Yet, much existing research focuses on single aspects, such as income or material deprivation, and often abstracts from deprivation dynamics. This study addresses this gap by analyzing the dynamics and...

A Fibonacci-type probability distribution provides the probabilistic models for establishing stopping rules associated with the number of consecutive successes. It can be interpreted as a generalized version of a geometric distribution. In this article, after revisiting the Fibonacci-type...

This study examines the effect and role of total factor productivity with other major determinants on economic growth in the Sub-Saharan Africa(SSA).It employs the data obtained from the World Bank Development Indicators spanning from 1990 to 2022 using panel ARDL, GMM and their extended...

This research looks into the relationship between happiness and foreign direct investment (FDI) in African countries so as to shed light on whether or not the inward FDI stock in African countries has an influence on happiness in the region. The study utilises annual panel data from 2006 to 2022...

We present a dynamic life-cycle model of women's labor supply, marriage, and fertility choices that explicitly incorporates mental and physical health. Correlated mental and physical health production functions are simultaneously estimated, including the endogenous decisions to seek...

This study investigates the impact of Research and Development (R&D) investment on the performance of Portuguese companies, specifically addressing the gap in understanding how R&D influences a company's value and performance. We employ a dynamic panel data model estimated using the Generalized...

Financial-macroeconomic agent-based models offer a promising avenue for understanding complex economic interactions, but their use is hindered by challenging empirical estimation. Our paper addresses this gap by constructing a stylized integrated model and estimating its core parameters using US...

The study aims to explore the impact of governance and macroeconomic conditions on financial stability in developed and emerging countries. The study sample comprised 122 countries from 2013 to 2020, and a comprehensive set of variables was used to construct the financial stability index (FSI)....

Global tensions and uncertainty in economic policy can cause structural change and disruption in the volatile sector of the economy. This study investigates the effects of geopolitical risk on bank stability and the role of economic policy uncertainty in this relationship in BRICS countries. We...

This study examined the effect of public debt on macroeconomic stability among 45 sub-Saharan African (SSA) countries for the period 2005-2022 using the two-step system Generalized Method of Moments (GMM). The study disaggregated public debt into domestic and foreign borrowing and determined the...

This study examines natural disasters' short-run and long-run effects on economic growth. We analysed insurance's short-run and long-run role in the natural disaster-economic growth nexus using 48 African countries from 2000 to 2020. Using a two-step system GMM, the study revealed that natural...

Public debt is determined by borrowings undertaken by a government to finance its short- or long-term financial needs and to ensure that macroeconomic objectives are met within budgetary constraints. In Romania, public debt has been on an upward trajectory, a trend that has been further...

In the last few decades, the study of ordinal data in which the variable of interest is not exactly observed but only known to be in a specific ordinal category has become important. In Psychometrics such variables are analysed under the heading of item response models (IRM). In Econometrics,...

Many economic panel and dynamic models, such as rational behavior and Euler equations, imply that the parameters of interest are identified by conditional moment restrictions. We introduce a novel inference method without any prior information about which conditioning instruments are weak or...

Studies on the tripartite nexuses among information and communication technology (ICT), financial development (FD), and banking sector efficiency have largely produced mixed findings. More importantly, how countries' levels of ICT advancement moderate FD-banks efficiency interlinkages need to be...

This study delves into dynamics and determinants of agricultural exports from India. India's agricultural export basket is heavily reliant on a limited range of commodities, including basmati rice, buffalo meat, spices, tea, coffee, and marine products. Such concentration poses risks, making the...

This paper proposes a new approach to identification of the semiparametric multinomial choice model with fixed effects. The framework employed is the semiparametric version of the traditional multinomial logit with the fixed-effects model (Chamberlain (1980)). This semiparametric multinomial...