In this paper we study a class of weighted estimands, which we define as parameters that can be expressed as weighted averages of the underlying heterogeneous treatment effects. The popular ordinary least squares (OLS), two-stage least squares (2SLS), and two-way fixed effects (TWFE) estimands...

In this paper we study a class of weighted estimands, which we define as parameters that can be expressed as weighted averages of the underlying heterogeneous treatment effects. The popular ordinary least squares (OLS), two-stage least squares (2SLS), and two-way fixed effects (TWFE) estimands...

Firm characteristics in empirical models for margins of international trade usually enter these models in linear form. If non-linearities do matter and are ignored this leads to biased results. Researchers, however, can never be sure that all possible non-linear relationships are taken care of....

Regressors often have heterogeneous effects in the social sciences, implying unit-specific slopes. OLS is frequently applied to these correlated coefficient models. I first show that without restrictions on the relation between slopes and regressors, OLS estimates can take any value including...

This paper uses firm level data from the World Bank Enterprise surveys conducted in 2019 and from the COVID-19 follow-up surveys conducted in 2020 in eight European countries to investigate the link between firm characteristics before the pandemic and firm survival until 2020. For the first time...

This paper studies linear time‐series regressions with many regressors. Weak exogeneity is the most used identifying assumption in time series. Weak exogeneity requires the structural error to have zero conditional expectation given present and past regressor values, allowing errors to...

This article’s motivation is to understand the volatile Bitcoin price increase. The objective is to develop price estimation methods. The methodology is to present five differential equation models estimated against the 23 July 2010-21 June 2021 Bitcoin data. The findings are that Gompertz...

Karpowitz et al. (2024) examine the effect of racial diversity on group decisionmaking. The authors used OLS regression to analyze 2,694 citizens randomly assigned to 449 mock juries who are tasked to make decisions, and they find that the number of the people of color (POC) affects private...

This paper presents an empirical analysis of the relationship between the corporate income tax (CIT) and the growth of total factor productivity (TFP) within European firms. Using data from the AMADEUS database over the 2005-2013 period, I measure the TFP of each firm using Wooldridge's (2009)...

Empirical models for intensive or extensive margins of trade that relate measures of exports to firm characteristics are usually estimated by variants of (generalized) linear models. Usually, the firm characteristics that explain these export margins enter the empirical model in linear form,...

Empirical models for intensive or extensive margins of trade that relate measures of exports to firm characteristics are usually estimated by variants of (generalized) linear models. Usually, the firm characteristics that explain these export margins enter the empirical model in linear form,...

We consider integrated modified least squares estimation for systems of cointegrating multivariate polynomial regressions, i. e., systems of regressions that include deterministic variables, integrated processes and products of these variables as regressors. The errors are allowed to be...

The use of digital technologies like artificial intelligence, robotics, or smart devices can be expected to go hand in hand with higher productivity and lower trade costs, and, therefore, to be positively related to export activities. This paper uses firm level data for manufacturing enterprises...

Knowledge and innovation have become a significant source of modern regional development. The paper aims to study the spatial association of innovation and model innovation, besides critiquing regional innovation policy, using the regional knowledge production function approach. At the level of...

This paper shows that the integrated modified OLS (IM-OLS) estimator developed for cointegrating linear regressions in Vogelsang and Wagner (2014a) can be straightforwardly extended to cointegrating multivariate polynomial regressions. These are regression models that include as explanatory...

This study investigates the dynamic causal relationship between electricity consumption and economic growth in the East African Community (1990-2021). It seeks to interrogate the nature of relationship between electricity consumption and economic growth. The hypothesis used in this study is four...

Artificial intelligence (AI) has radically changed companies' vision of business development, based on its widespread assimilation in key organisational processes. However, in organisational practice, the implementation of AI has generated major challenges, such as those related to the high need...

The paper considers two estimators for the linear random effects panel data model with known heteroskedasticity. Examples where heteroskedasticity can be treated as given include panel regression with averaged data, meta regression and the linear probability model. While one estimator builds on...

This paper aims to examine the role of economic diplomacy in attracting foreign capital to emerging countries, by developing a composite index measuring diplomatic activity. We focus on what extent does economic diplomacy influence the inflow of foreign capital to emerging countries. Then, we...