Mika Kortelainen

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As student numbers in the UK’s higher education sector have expanded substantially during the last 15 years, it has become increasingly important for government to understand the structure of costs in higher education, thus allowing it to evaluate the potential for expansion and associated cost implications. This study applies Data Envelopment Analysis(More)
Literature of productive efficiency analysis is currently divided between two main paradigms: the parametric Stochastic Frontier Analysis (SFA) and the deterministic, nonparametric Data Envelopment Analysis (DEA). This paper develops a new encompassing framework that melds the SFA-style stochastic composite error term to the DEA-type nonparametric frontier(More)
The opinions expressed in this paper do not necessarily reflect the position of Summary Environmental cost-benefit analysis (ECBA) refers to social evaluation of investment projects and policies that involve significant environmental impacts. Valuation of the environmental impacts in monetary terms forms one of the critical steps in ECBA. We propose a new(More)
The field of production frontier estimation is divided between the parametric Stochastic Frontier Analysis (SFA) and the deterministic, nonparametric Data Envelopment Analysis (DEA). This paper explores an amalgam of DEA and SFA that melds a nonparametric frontier with a stochastic composite error. Our model imposes the standard SFA assumptions for the(More)
Despite sound theoretical foundations a drawback of the New Keynesian model is its inability to generate adequate persistence in the variables it seeks to explain. A common solution is to modify the model to include lagged variables. However, this is unsatisfactory as many such modifications depart from the microeconomic underpinnings of the original model.(More)
This paper studies forecasts errors at the micro level using two alternative survey data sets. The main focus is on inflation and real GDP growth forecasts in the ECB Survey of Professional Forecasters. For comparison, inflation forecasts in the US Survey of Professional Forecasters are also examined. Our analysis indicates that forecast errors are(More)
We discuss the nonparametric approach to profit efficiency analysis at the firm and industry levels in the absence of complete price information, and propose two new insights. First, choosing one commodity (whose price is known) as a numeraire good enables us to measure profit inefficiency in absolute monetary terms. Second, imposing a ‘Law of One Price’(More)