We introduce a new jackknife variance estimator for panel-data regressions. Our variance estimator can be motivated as the conventional leave-one-out jackknife variance estimator on a transformed space of the regressors and residuals using orthonormal trigonometric basis functions. We prove the...

A popular approach to perform inference on a target parameter in the presence of nuisance parameters is to construct estimating equations that are orthogonal to the nuisance parameters, in the sense that their expected first derivative is zero. Such first-order orthogonalization may, however,...

This paper explores a semiparametric version of a time-varying regression, where a subset of the regressors have a fixed coefficient and the rest a time-varying one. We provide an estimation method and establish associated theoretical properties of the estimates and standard errors in extended...

The paper aims to analyze the quality of financial information, by assessing the timeliness of earnings, using information specific to non-financial companies listed on the regulated section of Bucharest Stock Exchange. The study also seeks to assess the symmetry of actions for the timely...

This study analyzes five of the well-known and most cited distress prediction models in the literature. The models are implemented to continuous publicly listed industrial firms in Turkey through their original and re-estimated coefficients in a comparative way to examine their generalizability...

We develop a score-driven time-varying parameter model where no particular parametric error distribution needs to be specified. The proposed method relies on a versatile spline-based density, which produces a score function that follows a natural cubic spline. This flexible approach nests 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,...

This study explores the way in which social information about giving impacts the stability of distributional preferences. We designed a two-stage treatment which varied the information participants received about the maximum amounts given to recipients. Information on maximum giving can...

Understanding how emotions stemming from negative outcomes affect investment decisions is critical for studying choice under uncertainty. I build a framework to study how past and anticipated negative emotions interact with an agent's preference and environment to influence her investment level....

In this article I set out to present the situation in terms of unemployment rate, the number of registered unemployed but also the share of unemployed nationwide in the period 2020-2021. Due to the Covid-19 pandemic, the unemployment rate has increased considerably. The provisions of the...