When evaluating partial effects, it is important to distinguish between structural endogeneity and measurement errors. In contrast to linear models, these two sources of endogeneity affect partial effects differently in nonlinear models. We study this issue focusing on the Instrumental Variable...

In this paper, we use novel firm-level microdata for Ireland to explore the factors that determine the investment in digitalisation for micro, small and medium-sized enterprises (SMEs). More specifically, we use cross-sectional survey data to explore whether firm fundamentals or constraints act...

Purpose This study aims to assess the level of development of the digital economy by constructing a comprehensive measurement system. It explores regional differences within China’s digital economy, highlighting the varying degrees of digital infrastructure, industrialization, governance and...

When evaluating partial effects, it is important to distinguish between structural endogeneity and measurement errors. In contrast to linear models, these two sources of endogeneity affect partial effects differently in nonlinear models. We study this issue focusing on the Instrumental Variable...

In this paper, we use novel firm-level microdata for Ireland to explore the factors that determine the investment in digitalisation for micro, small and medium-sized enterprises (SMEs). More specifically, we use cross-sectional survey data to explore whether firm fundamentals or constraints act...

This comprehensive study explored the efficiency landscape of the Jordanian banking industry from 2006 to 2021, utilizing a dual-pronged approach. First, we assessed the efficiency scores of 15 commercial banks, comprising 13 conventional and 2 Islamic institutions, through data envelopment...

This paper estimates and compares various efficiencies, namely, business, profit, and Z-Score efficiencies for private and publicly owned Indian banks. It uses the data envelopment analysis (DEA) following variable returns to scale, under input and output orientation, for measuring efficiency....

We use a dynamic panel Tobit model with heteroskedasticity to generate forecasts for a large cross‐section of short time series of censored observations. Our fully Bayesian approach allows us to flexibly estimate the cross‐sectional distribution of heterogeneous coefficients and then...

When evaluating partial effects, it is important to distinguish between structural endogeneity and measurement errors. In contrast to linear models, these two sources of endogeneity affect partial effects differently in nonlinear models. We study this issue focusing on the Instrumental Variable...

This paper studies models of processes generating censored outcomes with endogenous explanatory variables and instrumental variable restrictions. Tobit-type left censoring at zero is the primary focus in the exposition. Extension to stochastic censoring is sketched. The models do not specify the...

The specific characteristics of family businesses as well as the internationalization path followed can influence the intensity of the internationalization process. Many studies have analyzed how family character can influence the internationalization process of family businesses, and the...

Purpose This study proposes spatial origin-destination threshold Tobit to address spatial interdependence among bilateral trade flows while accounting for zero trade volumes. Design/methodology/approach This model is designed to capture multiple forms of spatial autocorrelation embedded in...

Forest ecosystem economic valuation is responsible for ecologically aware and reasonable gains to the country and particularly to the surrounding groups through different means. Thus, the central objective of this study was to analyze the economic valuation Gedo Natural Forest conservation...

Sustainable economic growth is desired to be achieved by governments targeting economic, social, and environmental benefits. The idea of circular economy model is to consider feedback effects from proper waste management instead of one-way effects typical with the classical linear model. Several...

This study investigates intrahousehold risk preferences in household portfolio decision-making. Most household finance data are collected at the household level, and it is challenging to come up with an explanation of risk-taking decisions and have a direction on the within-household bargaining...

Dans la région Moyen-Orient et Afrique du Nord (MENA), le secteur bancaire joue un rôle crucial dans le développement économique malgré les défis de la volatilité des marchés et des pressions réglementaires. L'efficience bancaire est essentielle pour maintenir la compétitivité et la...

This paper proposes a framework to account for innovation similar to the usual accounting framework in production analysis and a measure of innovativity comparable to that of total factor productivity. This innovation accounting framework is illustrated using micro-aggregated firm data from the...

The point of this sub area is to distinguish potential determinants of the dimension of cost efficiency in the managing an account segment of India. The discoveries of such examination give pointers which will help in expanding the dimension of efficiency. In the accompanying advance in the wake...

This study investigates specifically the effects of institutional settings and risks on dividend payout policy for banks operate in an emerging market of Nigeria. The present study measures the risk by using financial, business, credit, and default risk at the bank-level and financial, economic,...

We consider the sensitivity of the Tobit estimator to heteroscedasticity. Our single independent variable is a dummy variable whose coefficient is a difference between group means, and the error variance differs between groups. Heteroscedasticity biases the Tobit estimate of the two means in...

Applied economists have long struggled with the question of how to accommodate binary endogenous regressors in models with binary and non-negative outcomes. I argue here that much of the difficulty with limited-dependent variables comes from a focus on structural parameters, such as index...

This paper studies models of processes generating censored outcomes with endogenous explanatory variables and instrumental variable restrictions. Tobit-type left censoring at zero is the primary focus in the exposition. The models studied here are unrestrictive relative to others widely used in...

Nowadays, countries are more concerned with the improvement of effectiveness and efficiency in public sector activities in the perspective of frugal innovation. The problem centers around how to obtain more and better public service with the limitations of the public incomes and indebtedness in...

An explanation of the Dunning-Kruger effect is provided which does not require any psychological explanation, because it is derived as a statistical artefact. This is achieved by specifying a simple statistical model which explicitly takes the (random) boundary constraints into account. This...

In this paper, a decomposition method for Tobit-models is derived, which allows the differences in a censored outcome variable between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part attributable to differences in the estimated...

The paper studies the degree of homogeneity of innovative behavior in order to determine empirically an industry classification of Dutch manufacturing that can be used for policy purposes. We use a two limit tobit model with sample selection, which explains the decisions by business enterprises...

This article considers a wide class of censoring problems and presents a construction rule for an objective function. This objective function generalises the ordinary likelihood as well as particular "likelihoods" used for estimation in several censoring models. Under regularity conditions the...

The context of community-based interventions presents formidable problems for any evaluation analysis. Group-randomized studies do possess ideal properties in theory, but in practice, group-randomization might not be a feasible alternative at all or group-randomized studies might be...

The paper proposes two estimation approaches for duration models that are subject to right censored observations and selection effects. Main focus is on accelerated duration models and the estimators that are of the limited information type, i.e. they are not based on a fully specified selection...

The study aims to a comprehensive measure of listed insurance companies' technical efficiency in GCC countries and benchmarking, peer count summary, and measuring productivity changes in the first stage. In the second stage, the technical efficiency, pure technical efficiency, and scale...

The improvement of agricultural productivity using technology is an important avenue for increasing output and reducing poverty in sub-Saharan countries. However, the low adoption of high yield varieties has been identified as one of the main reasons for low productivity in sub-Saharan Africa....

The purpose of this study is to assess empirically how the technical efficiency scores for 43 sub-sectors and their determinants over the period 2010 to 2017 show significant variation across the sub-sectors. The study applied a two-step approach for measuring technical efficiency and its...