Search Results - "Kuosmanen, Timo"

Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model by Kuosmanen, Timo

“…Electricity distribution network is a prime example of a natural local monopoly. In many countries, electricity distribution is regulated by the government…”
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Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints by Kuosmanen, Timo, Kortelainen, Mika

“…The field of productive efficiency analysis is currently divided between two main paradigms: the deterministic, nonparametric Data Envelopment Analysis (DEA)…”
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Representation theorem for convex nonparametric least squares by Kuosmanen, Timo

“…We examine a nonparametric least-squares regression model that endogenously selects the functional form of the regression function from the family of…”
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Weak Disposability in Nonparametric Production Analysis: Reply to Färe and Grosskopf by Kuosmanen, Timo, Podinovski, Victor

“…Färe and Grosskopf (this issue) claim that a single abatement factor suffices for modeling weak disposability in nonparametric production models, and that the…”
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Best-practice benchmarking using clustering methods: Application to energy regulation by Dai, Xiaofeng, Kuosmanen, Timo

“…Data envelopment analysis (DEA) is widely used as a benchmarking tool for improving productive performance of decision making units (DMUs). The benchmarks…”
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What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods by Kuosmanen, Timo, Saastamoinen, Antti, Sipiläinen, Timo

“…Electricity distribution is a natural local monopoly. In many countries, the regulators of this sector apply frontier methods such as data envelopment analysis…”
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Data Envelopment Analysis as Nonparametric Least-Squares Regression by Kuosmanen, Timo, Johnson, Andrew L.

“…Data envelopment analysis (DEA) is known as a nonparametric mathematical programming approach to productive efficiency analysis. In this paper, we show that…”
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A more efficient algorithm for Convex Nonparametric Least Squares by Lee, Chia-Yen, Johnson, Andrew L., Moreno-Centeno, Erick, Kuosmanen, Timo

“…► Develops a generic algorithm to reduce the time to solve the Convex Nonparametric Least Squares problem. ► Allows models including 9 netputs estimated on…”
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Market access and seaport efficiency: The case of container handling in Norway by Rødseth, Kenneth Løvold, Holmen, Rasmus Bøgh, Kuosmanen, Timo, Schøyen, Halvor

“…Comprehensive studies on the impact of market access on port efficiency are scarce, and the problem that market access indicators are potentially endogenous…”
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Productive performance of organic crop farms in Finland 2010–2017 by Kuosmanen, Natalia, Yli-Heikkilä, Maria, Väre, Minna, Kuosmanen, Timo

“…Increasing organic production is one of the strategic objectives of the Finnish agricultural policy. Despite the positive developments observed during the last…”
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Shadow prices and marginal abatement costs: Convex quantile regression approach by Kuosmanen, Timo, Zhou, Xun

“…•Frontier estimation methods such as DEA overestimate marginal abatement cost (MAC).•Sources of bias include limited abatement options, inefficiency, and…”
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The law of one price in data envelopment analysis: Restricting weight flexibility across firms by Kuosmanen, Timo, Cherchye, Laurens, Sipiläinen, Timo

“…The Law of One Price (LoOP) states that all firms face the same prices for their inputs and outputs under market equilibrium. Taken here as a normative…”
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Modeling joint production of multiple outputs in StoNED: Directional distance function approach by Kuosmanen, Timo, Johnson, Andrew

“…•Existing models of joint production are problematic.•New probabilistic data generating process is developed.•New estimator of directional distance function is…”
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What drives decarbonization of new passenger cars? by Zhou, Xun, Kuosmanen, Timo

“…•Novel decomposition of the average CO2 emissions of new passenger cars is proposed.•Components include technology, CO2 efficiency, attributes, and test…”
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Modeling economies of scope in joint production: Convex regression of input distance function by Kuosmanen, Timo, Dai, Sheng

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Inter-industry and intra-industry switching as sources of productivity growth: structural change of Finland’s ICT industries by Kuosmanen, Natalia, Kuosmanen, Timo

“…Structural change is an important driver of productivity growth at the aggregate level. While previous productivity decompositions account for the…”
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Convex support vector regression by Liao, Zhiqiang, Dai, Sheng, Kuosmanen, Timo

“…•The convex support vector regression (CSVR) approach is developed.•CSVR inherits the appealing features of convex regression and SVR.•CSVR has been extended…”
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Generalized quantile and expectile properties for shape constrained nonparametric estimation by Dai, Sheng, Kuosmanen, Timo, Zhou, Xun

“…•Generalized quantile and expectile properties are stated and proved.•The generalized properties apply to any shape constrained nonparametric…”
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Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period by Quinn, Barry, Gallagher, Ronan, Kuosmanen, Timo

“…This paper is a case study of the impact of CO2 emissions target setting. We empirically investigate the targets set during the Kyoto Protocol period using a…”
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How much climate policy has cost for OECD countries? by Kuosmanen, Timo, Zhou, Xun, Dai, Sheng

“…•Forecasted costs of the Kyoto Protocol show large variance.•Empirical evidence about the economic cost of Kyoto remains scant.•Yearly GHG abatement costs…”
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