T
Tor Jakob Klette
Researcher at University of Oslo
Publications - 43
Citations - 4579
Tor Jakob Klette is an academic researcher from University of Oslo. The author has contributed to research in topics: Investment (macroeconomics) & Subsidy. The author has an hindex of 27, co-authored 43 publications receiving 4381 citations. Previous affiliations of Tor Jakob Klette include Statistics Norway.
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Do Subsidies to Commercial R&D Reduce Market Failures - Microeconomic Evaluation Studies?
TL;DR: In this paper, the authors review some recent micro-econometric studies evaluating effects of government-sponsored commercial R&D and pay particular attention to the conceptual problems involved Neither the firms receiving support, nor those not applying, constitute random samples Furthermore, those not receiving support may be affected by the programs due to spillover effects.
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Innovating Firms and Aggregate Innovation
Tor Jakob Klette,Samuel Kortum +1 more
TL;DR: In this paper, a parsimonious model of innovation is developed to confront firm-level evidence, which captures the dynamics of individual heterogeneous firms, describes the behavior of an industry with firm entry and exit, and delivers a general equilibrium model of technological change.
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The Inconsistency of Common Scale Estimators When Output Prices are Unobserved and Engogenous
Tor Jakob Klette,Zvi Griliches +1 more
TL;DR: In this article, the inconsistency of common scale estimators when output is proxied by deflated sales, based on a common output deflator across firms is explored, and it is shown that the scale estimates tend to be downward biased in the production function case, under a wide range of assumptions about the pattern of technology, demand and factor price shocks.
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The inconsistency of common scale estimators when output prices are unobserved and endogenous
Tor Jakob Klette,Zvi Griliches +1 more
TL;DR: In this paper, the inconsistency of common scale estimators when output is proxied by deflated sales, based on a common output deflator across firms, is explored, and it reveals itself as a downward bias in the scale estimates obtained from production function regressions, under a variety of assumptions about the pattern of technology, demand and factor price shocks.
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Market Power, Scale Economies and Productivity: Estimates from a Panel of Establishment Data
TL;DR: In this paper, the authors present a new econometric framework that permits simultaneous estimation of price-cost margins, scale economies and productivity from a panel of establishment data. But the model contains only a few, economically interesting parameters to be estimated, but it is nevertheless consistent with a flexible (translog) underlying technology, quasi-fixed capital and the presence of persistent differences in productivity between establishments.