| 1. |
- Badunenko, Oleg, et al.
(författare)
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Allocative Efficiency Measurement Revisited : Do We Really Need Input Prices?
- 2008
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Ingår i: Economic Modelling. - : Elsevier. - 0264-9993 .- 1873-6122. ; 25:5, s. 1093-1109
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Tidskriftsartikel (refereegranskat)abstract
- The traditional approach to measuring allocative efficiency exploits input prices, which are rarely known at the firm level. This paper proves allocative efficiency can be measured as a profit-oriented distance to the frontier in a profit-technical efficiency space. This new approach does not require information on input prices. To validate the new approach, we perform a Monte-Carlo experiment providing evidence that the estimates of allocative efficiency employing the new and the traditional approach are highly correlated. Finally, as an illustration, we apply the new approach to a sample of about 900 enterprises from the chemical manufacturing industry in Germany.
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| 2. |
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| 3. |
- Badunenko, Oleg, et al.
(författare)
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Investments : women are more cautious than men because they have less financial resources at their disposal
- 2010
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Ingår i: DIW Berlin, Weekly Report. - 1860-3343. ; 6:1, s. 1-4
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Experts on investments and financial products assume that women are less amenable to risks and therefore put their money into secure investment products. A current study conducted by the DIW Berlin (German Institute for Economic Research) challenges this view. The study demonstrates that men and women are equally likely to take a chance on risky investments – assuming that they have the same financial resources at their disposal. A general cliché may not longer be true: that sex is a determinant factor in investment decisions and that the difference in attitudes toward investment between men and women is a result of gender-based investment attitudes. Women are likely to have cautious investment habits because – as a rule – they have only half the investment resources available that men have at their disposal.
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| 4. |
- Badunenko, Oleg, et al.
(författare)
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What Drives the Productive Efficiency of a Firm? : the importance of industry, location, R&D, and size
- 2008
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This paper investigates the factors that explain the level and dynamics of manufacturing firm productive efficiency. In our empirical analysis, we use a unique sample of about 39,000 firms in 256 industries from the German Cost Structure Census over the years 1992-2005. We estimate the efficiencies of the firms and relate them to firm-specific and environmental factors. We find that (1) about half the model’s explanatory power is due to industry effects, (2) firm size accounts for another 20 percent, and (3) location of headquarters explains approximately 15 percent. Interestingly, most other firm characteristics, such as R&D intensity, outsourcing activities, or the number of owners, have extremely little explanatory power. Surprisingly, our findings suggest that higher R&D intensity is associated with being less efficient, though higher R&D spending increases a firm’s efficiency over time.
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| 5. |
- Heilemann, Franz, et al.
(författare)
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Anreizregulierung mittels stochastischer Frontier Analyse : Potenzial fuer Fehleinschätzungen in Milliardenhöhe
- 2009
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Ingår i: Energiewirtschaftliche Tagesfragen. - Duisburg : WAZ Druck. - 0720-6240. ; :1/2, s. 66-71
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Tidskriftsartikel (populärvet., debatt m.m.)abstract
- Die stochastische Frontier Analyse (SFA-Methode) ist entsprechend der Anreizregulierungsverordnung Bestandteil des Benchmarkingverfahrens zur Ermittlung der individuellen Effizienzwerte der deutschen Strom- und Gasverteilnetzbetreiber. Angesichts benchmarkrelevanter Netzkosten in Höhe von ca. 10 Mrd. € p. a. im Strom- und ca. 4 Mrd. € p. a. im Gasbereich sowie der enormen wirtschaftlichen Auswirkung der durch die Methode geschätzten Effizienzwerte, stellt sich die Frage nach der Nachvollziehbarkeit und Validität der Ergebnisse. Mittels einer Funktions- und Softwareanalyse zur SFA wird im Folgenden anhand systematisierter und nachprüfbarer Modellrechnungen gezeigt, dass unterschiedliche Rechenprogramme unterschiedliche Ergebnisse liefern und dabei häufig die realen Sachverhalte nicht wiedergeben.
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