A typical two-digit industry in the United States appears to have approximately constant returns to scale. Three puzzles emerge, however. First, estimates rise at higher levels of aggregation. Second, apparent decreasing returns contradicts evidence of small economic profits. Third, estimates with value added differ substantially from those with gross output. A representative-firm paradigm cannot explain these puzzles but a simple story of aggregation over heterogeneous units can. The authors discuss implications of heterogeneity for calibrating one-sector macroeconomic models, showing that these models sometimes require firm-level parameters but at other times require the 'biased' aggregate parameters. Copyright 1997 by the University of C...
This paper analyses the importance of scale economies by means of unbalanced plant-level panel data ...
This paper presents estimates of the degree of returns to scale using nonparametric measures of prim...
This dissertation presents a theoretical framework to analyze and evaluate aggregation biases. These...
A typical (roughly) two-digit industry in the United States appears to have constant or slightly dec...
This paper derives a number of theoretical results in the context of estimating returns to scale, te...
The extent to which there are aggregate returns to scale at the level of aggregate production has im...
A number of recent papers have used simple linear regressions in an attempt to identify market struc...
We estimate constant returns or slightly decreasing returns at the industry level in the private U....
There is considerable disagreement in the empirical macro literature as to the degree of returns to ...
This paper reviews various types of increasing returns from a critical perspective. Increasing retur...
This paper emphasizes the importance of two sufficient statistics to characterize firm-level heterog...
This paper highlights the bias in returns to scale or price-cost markup coefficients when estimated ...
Abstract: This paper analyses the importance of scale economies by means of unbalanced plant-level ...
Abstract: This paper analyses the importance of scale economies by means of unbalanced plant-level ...
Abstract: This paper analyses the importance of scale economies by means of unbalanced plant-level p...
This paper analyses the importance of scale economies by means of unbalanced plant-level panel data ...
This paper presents estimates of the degree of returns to scale using nonparametric measures of prim...
This dissertation presents a theoretical framework to analyze and evaluate aggregation biases. These...
A typical (roughly) two-digit industry in the United States appears to have constant or slightly dec...
This paper derives a number of theoretical results in the context of estimating returns to scale, te...
The extent to which there are aggregate returns to scale at the level of aggregate production has im...
A number of recent papers have used simple linear regressions in an attempt to identify market struc...
We estimate constant returns or slightly decreasing returns at the industry level in the private U....
There is considerable disagreement in the empirical macro literature as to the degree of returns to ...
This paper reviews various types of increasing returns from a critical perspective. Increasing retur...
This paper emphasizes the importance of two sufficient statistics to characterize firm-level heterog...
This paper highlights the bias in returns to scale or price-cost markup coefficients when estimated ...
Abstract: This paper analyses the importance of scale economies by means of unbalanced plant-level ...
Abstract: This paper analyses the importance of scale economies by means of unbalanced plant-level ...
Abstract: This paper analyses the importance of scale economies by means of unbalanced plant-level p...
This paper analyses the importance of scale economies by means of unbalanced plant-level panel data ...
This paper presents estimates of the degree of returns to scale using nonparametric measures of prim...
This dissertation presents a theoretical framework to analyze and evaluate aggregation biases. These...