Strikes, just as other types of conflict, used to be difficult to explain from an economic perspective. Initially, it was thought that they were a result of mistakes or irrationality. Then, during the 1980s an explosion of research brought asymmetric information to prominence as a significant...

Using cross-country data, this paper investigates the relationship between workplace representation and strikes. Works councils are associated with reduced strike activity. However, where union members make up a majority of works councillors, such union-dominated councils experience greater...

This paper investigates the impact of the largest rail strikes in German history on intercity buses – a then newly liberalised market. Using unique booking data of bus services, we exploit variation in rail service cancellations across routes to show that the disruption in rail transport...

This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common Correlated Effects (CCE) approach proposed by Pesaran (2006) and Chudik and Pesaran (2015) and demonstrates that the extension...

This paper considers the problem of identification, estimation and inference in the case of spatial panel data models with heterogeneous spatial lag coefficients, with and without (weakly) exogenous regressors, and subject to heteroskedastic errors. A quasi maximum likelihood (QML) estimation...

Multicollinearity, especially in combination with errors-in-variables, can increase the likelihood of a Type-I error by inflating the value of the estimated coefficients by more than it magnifies their standard errors, thereby increasing the likelihood of obtaining statistically significant...

This paper is concerned with problem of variable selection and forecasting in the presence of parameter instability. There are a number of approaches proposed for forecasting in the presence of breaks, including the use of rolling windows or exponential down-weighting. However, these studies...

In spatial econometrics literature estimation and inference are carried out assuming that the matrix of spatial or network connections has uniformly bounded absolute column sums in the number of units, n, in the network. This paper relaxes this restriction and allows for one or more units to...

Using the multiple indicator-multiple cause (MIMIC) approach, this paper generates a novel global database by estimating the size of the shadow economy for 157 countries over 1991 to 2017. The results suggest that the OECD countries are by far the lowest with values below 20% of off official GDP...