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Table 3 Distribution of Sales by Industry: Public Auctions

in Displaced Capital
by Valerie A. Ramey, Valerie A. Ramey, Matthew D. Shapiro, Matthew D. Shapiro

TABLE 16 Ratio of corporate assets to sales, by group and country of control, 1984 and 1988, according to industrial group Mining Manufacturing and Wholesale and Retail Finance, Insurance and Services and Public

in ACKNOWLEDGEMENTS
by Gilles Mcdougall, Micro-economic Policy Analysis, Someshwar Rao 1995

Table 10 Recapitalization of Banking Institutions with Public Resources

in No. 348 Did External Barriers Cause the Marginalization of Sub-Saharan Africa in World Trade? Azita Amjadi Ulrich
by Alexico, Jose De Lnu A-w, Ian Barwell, Reincke, Kathy Lindert 2000
"... In PAGE 30: ... In order to restore the soundness of their banking system as rapidly as possible both countries established recapitalization schemes with public resources. Table10 illustrates the different criteria and mechanisms used in Mexico and Korea to inject public resources into the banks. As shown in the table, there are three main differences in the schemes used for bank recapitalization in Korea and Mexico.... ..."

Table 7 Concentration msasure of sates, papers, and patents

in Essays of an Information Scientist: Science Literacy, Policy, Evaluation, and other Essays, Vol:11, p.244,1988
by Cur Re Nt, Michael R. Halperin, Alok K. Chakrabarti
"... In PAGE 6: ... We haveexaminedthe relationshipbetweenfirm size and both patent and publication output of these 225 firms by using sales as the measure of size. Table7 provides the data on sales, papers, and patents. The pattern inrkcates that the publication of scientific papers increases less than proportion- ately to sales for the largeat 100firms.... ..."

Table 7 Concentration msasure of sates, papers, and patents

in Firm and industry characteristics influencing publications of scientists in large American companies
by Michael R. Halperitr, Alok K. Chakrabarti
"... In PAGE 4: ... We haveexaminedthe relationshipbetweenfirm size and both patent and publication output of these 225 firms by using sales as the measure of size. Table7 provides the data on sales, papers, and patents. The pattern inrkcates that the publication of scientific papers increases less than proportion- ately to sales for the largeat 100firms.... ..."

TABLE 5 Logit Estimates of the Probability of Being Public (n=5717) vs. Being Private (n=178) Dependent variable is 1 if the firm is public at year-end 1996, zero otherwise. Profitability is EBITDA/sales; interest coverage is EBITDA/interest expense; r amp;d indicator is one for firms with positive r amp;d, zero otherwise; sales growth is the percent change in sales from 1995 to 1996; bad news indicator is one for firms that had negative profitability and negative growth and for Sabreliner; family/founder indicator is one if the firm is controlled solely by family or management and there are fewer than 15 shareholders; outside ownership indicator is one if the equity held by outsiders is 25% or more; multiple share class indicator equals one if the firm has more than one type of stock with voting rights. * indicates significance at the 10% or lower level. Standard errors are White corrected.

in The Decision to Go Public: Evidence from Mandatory SEC Filings of Private Firms
by Jean Helwege, Frank Packer

Table 4. Sales and Productivity in Polish Industry, 1992-93 (avg quarterly growth rates) SOEs Private Firms

in Structural Adjustment, Ownership Transformation, and Size in Polish Industry
by Domenico Marchetti, Jr. Stefano Paternostro, Central Asia
"... In PAGE 18: ... In order to gain insights into the extent of structural adjustment that has taken place in state enterprises, we compare the sectoral and temporal pattern of the productivity response of public enterprises with that of private ones. Our a priori assessment, based on anecdotal evidence, aggregate data and the disaggregate statistics reported in Table4 , is that the private sector has been very responsive to the new system of microeconomic incentives brought by the reforms. Presumably.... In PAGE 19: ... The resulting Generalized Covariance (Chow) test is based on a Chi-square statistic (Table 5, bottom panel) which rejects the null hypothesis. This indicates that the data of public and private enterprises fit different models, as the basic statistics reported in Table4 suggest. Our formal statistical analysis therefore suggests that the productivity response of public enterprises after the reforms has been significantly different from that of private firms.... ..."

Table 2--R amp;D spending and sales of leading multinational firms, 2002

in Public-Private Partnerships in Agricultiral Research: An Analysis Of . . .
by David J. Spielman, Klaus von Grebmer 2004
"... In PAGE 10: ... 7 and sustaining partnerships between public research agencies and private firms. Specific emphasis is placed on the international agricultural research centers of the CGIAR and the leading multinational, research-based agribusiness companies ( Table2 ). Emphasis is also placed on research partnerships in the area of agricultural production technologies, although subsequent research will expand the scope to include collaborations on the value-added production, processing, storage, marketing, and distribution of agricultural products.... ..."
Cited by 23

TABLE 2 Selected Firm Characteristics: Private Firms, Small Firms, IPO Firms, Public Firms on Compustat and a Size/Industry Matched Set of Public Firms Medians, except where noted; means are in parentheses. Industry and size matched firms are firms in the same four digit industry (when available, otherwise three digit industry) that are closest in sales. * denotes medians of private firms are significantly different from the comparison sample (Compustat, IPOs, or matches, not SSBF firms) at the 10% or lower level of significance or in the case of r amp;d or dividends, that a binomial test of differences in proportions is significantly different at the 10% or lower level of significance. Data for firms in the Survey of Small Business Finance are taken from Cavalluzzo and Wolken (2002). IPOs from 1997-1999 are identified in SDC and data are taken from Compustat for the year of the IPO.

in The Decision to Go Public: Evidence from Mandatory SEC Filings of Private Firms
by Jean Helwege, Frank Packer

Table 2: Sale rates

in Selling Online Versus Live
by Eiichiro Kazumori, John Mcmillan
"... In PAGE 15: ...redicted by our theory. The data are in accord with this. Overall, the sale rate is 64 percent in live auctions and 40 percent in online markets. Table2 shows the breakdown of sale rates by category. These sale rates are roughly consistent with data from elsewhere.... ..."
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