The oil and gas sector plays a crucial role in the Norwegian economy. It accounts for a very large proportion of gross domestic product, government revenues, investment and exports. A sharp fall in oil prices has had a significant impact on the economy and focused great attention on the cost...

We investigate the potential for statistical forecasting of aggregate oil and gas investment on the Norwegian Continental Shelf (NCS). A unique and detailed dataset containing data from 109 different fields on the NCS between 1970 and 2015 was employed. A set of 1080 autoregressive distributed...

We examine the determinants of product, process, and organizational innovation, and their impact on firm labor productivity using data from a unique innovation survey of firms in Pakistan. We find significant heterogeneity in the impact of different innovations on labor productivity:...

The paper describes a two stage model of Hungarian households' food demand. Demand for the food aggregate is represented by a Working-Leser type single equation model while demand for seven distinct food types is modelled in a complete demand system using the LA/AIDS functional form. Estimation...

This study makes a cross sectional case in investigating the validity, or otherwise, of the finance-driven growth hypothesis in the ECOWAS countries using annual data from 1970 to 2008 for seven countries namely: Burkina Faso, Cote d’Ivoire, The Gambia, Ghana, Nigeria, Senegal and Togo. In...

The measure of the regional disparities in the European Union was widely approached on the literature. Recent years have seen a spate of studies taking into account the spatial aspect of data in the analysis of convergence from an empirical viewpoint, or integrating spatial interdependencies...

We study semiparametric two-step estimators which have the same structure as parametric doubly robust estimators in their second step, but retain a fully nonparametric specification in the first step. Such estimators exist in many economic applications, including a wide range of missing data and...

The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...

Due to their indeterminacies, static and dynamic factor models require identifying assumptions to guarantee uniqueness of the parameter estimates. The indeterminacy of the parameter estimates with respect to orthogonal transformations is known as the rotation problem. The typical strategy in...

In this paper we study doubly robust estimators of various average treatment effects under unconfoundedness. We unify and extend much of the recent literature by providing a very general identification result which covers binary and multi-valued treatments; unnormalized and normalized weighting;...