In a seminal paper, Feenstra (1994) developed an instrumental variable estimator which is becoming increasingly popular for estimating demand elasticities. Soderbery (2015) extended this estimator and created a routine which was shown to be more robust to data outliers when the number of time...

In econometrics some nonparametric instrumental regression models and nonparametric demand models with endogeneity lead to nonlinear integral equations with unknown integral kernels. We prove convergence rates of the risk for the iteratively regularized Newton method applied to these problems....

This paper presents novel methodological and empirical contributions to the child penalty literature. We propose a new estimator that combines elements from standard event study and instrumental variable estimators and demonstrate their relatedness. Our analysis shows that all three approaches...

There is an ongoing discussion especially among political scientists and economists whether and how climate variability affects civil conflicts and wars in developing countries. Given the predicted climatic changes, several studies argue that increasing temperatures or decreasing precipitation...

In this paper, we investigate whether better information about the macroeconomic environment of an economy has a positive impact on its capital inflows, namely portfolio and foreign direct investment (FDI). The purpose of our study is to explicitly quantify information asymmetries by compliance...

A phenomenon observed in many labor markets is that the supply of labor appears to depend on business cycles. In other words, workers who are searching for work become "discouraged" under unfavorable business cycle conditions because they believe that their chances of finding an acceptable job...

I apply a common factor approach to identifying substitution possibilities between input factors in a factor demand system. Technological changes can lead to shifts in the relative use of input factors within an industry. Technological changes can also be common to several industries. If such...

We analyse all the major sources of direct and indirect R&D subsidies in Norway in the period 2002- 2013 and compare their effects on individual firms’ performance. Firms that received support are matched with a control group of firms that did not receive support using a combination of...

A behavioural model of crime is developed and applied to panel data on the number of crimes and clear-ups for the 53 police districts in Norway for the period 1970-78. Data on both total crime and on 12 different types of crime is employed. The model consists of behavioural relations of the...

General Method of Moments (GMM) estimation of a linear one-equation model using panel data with errors-in-variables is considered. To eliminate fixed individual heterogeneity, the equation is differenced across one or more than one periods and estimated by means of instrumental variables. With...