Figure 6C compares the actual employment level <strong>of</strong>private equity transactions pre- and post-transaction withthe implied employment <strong>of</strong> these targets had they grownat the same rate as the controls. 16 This exercise permitsevaluating the cumulative impact <strong>of</strong> the differences in netgrowth rates between targets and controls. To conduct thiscounterfactual exercise, the employment level <strong>of</strong> the controlsis normalized to be exactly equal to that <strong>of</strong> the targets in thetransaction year. <strong>The</strong> pattern for the controls shows thecounterfactual level <strong>of</strong> employment that would have emergedfor targets if the targets had exhibited the same pre- and posttransactionemployment growth rates as the controls. Figure6C shows that, five years after the transaction, the targetshave a level <strong>of</strong> employment that is 10.3% lower than it wouldbe if targets had exhibited the same growth rates as controls. 17In interpreting the results from Figures 6A to 6C, it is importantto emphasize that the observed net changes may stem fromseveral margins <strong>of</strong> adjustment. <strong>The</strong> recent literature on firmand establishment dynamics has emphasized the large grossflows relative to net changes that underlie employmentdynamics (see, for example, Davis, Haltiwanger and Schuh1996). Figures 7A and 7B show the underlying gross jobcreation and destruction rates for targets and controls. It isapparent from Figures 7A and 7B that the rates <strong>of</strong> grosschanges for both targets and controls are large relative to thenet changes observed in Figure 6. Both targets and controlshave higher job creation rates prior to the transaction thanafter and have higher destruction rates subsequently thanbeforehand. As discussed above, this pattern reflects thenature <strong>of</strong> the sample construction process.While the overall patterns are similar, there are some interestingdifferences in the patterns <strong>of</strong> the gross flows between targetsand controls. Figures 8A and 8B show the differences betweencreation and destruction rates, respectively, between targetsand controls. Prior to the transaction, there is no systematicpattern <strong>of</strong> differences between the private equity-backed targetsand the controls in terms <strong>of</strong> creation and destruction rates,except for the decline in job creation by the targets in theyear before the private equity transaction. Subsequent tothe transaction, the targets tend to have substantially higherdestruction rates in the first three years after the transaction– though this rapidly drops <strong>of</strong>f thereafter – and about thesame creation rates as the controls.One implication is that the net differences exhibited inFigure 6A after the transaction year are associated with thejob destruction margin. An interesting suggested implicationis that private equity transactions trigger a period <strong>of</strong>accelerated creative destruction relative to controls that ismost evident in the first three years after the transaction.Given its relevance to the net employment pattern, the jobdestruction margin can be explored further in terms <strong>of</strong> thepatterns <strong>of</strong> establishment exit. Figure 9A shows theemployment-weighted exit rate (or put another way, the jobdestruction from exit) for the targets and the controls. Bothsets <strong>of</strong> establishments exhibit substantial exit rates after thetransaction, reflecting that establishment exit is a commonfeature <strong>of</strong> the dynamics <strong>of</strong> US businesses. <strong>The</strong> targets exhibithigher exit rates in the first three years after the transactionrelative to controls. <strong>The</strong> difference in the exit rates is reportedin Figure 9B. For example, in the second year after thetransaction, private equity transactions have a twopercentage point higher exit rate than controls. In the fourthand fifth years, the exit rate <strong>of</strong> the targets is actually lowerthan that <strong>of</strong> the controls.B. Changes in sub-samples <strong>of</strong> transactions<strong>The</strong> results presented in Section 5.A reflect the resultsfrom pooling across all private equity transactions over the1980–2000 period. <strong>The</strong> controls account for differences inthe net growth patterns along many dimensions, but wehave not examined whether the patterns differ by observablecharacteristics <strong>of</strong> the private equity transactions. In thissection we consider a number <strong>of</strong> simple classifications.To begin, we consider differences in the net growth patternsbetween private equity transactions and controls by timeperiods, industry, establishment age and establishment size.Figure 10 shows the equivalent <strong>of</strong> Figure 6A for differentsub-periods <strong>of</strong> transactions. <strong>The</strong> pattern in the overall dataon employment is more pronounced for the transactionsthat occurred from 1995 onwards. Since the number <strong>of</strong>transactions accelerated rapidly over the post-1995 period,it is not surprising that much <strong>of</strong> the overall employmenteffects depicted in Figure 6C are during this time period.Figure 11 shows how the patterns vary by broad sector. Wefocus on three <strong>of</strong> the broad sectors where most <strong>of</strong> the privateequity transactions are concentrated. Within manufacturing, wefind relatively little systematic difference in net growth patternsbetween private equity transactions and controls. We find thatthe level <strong>of</strong> employment for private equity transactions five yearsafterwards is about the same as if the targets had grown at thesame rate as the controls. (More specifically, the targets are2.4% lower at the end <strong>of</strong> five years.) Manufacturing is a sectorwhere a large fraction <strong>of</strong> private equity transactions areconcentrated and in this sector at least, there are fewdifferences between targets and controls.We know, however, from Figure 6A that there are non-trivialdifferences between private equity transactions and controlsin the pooled data. Figure 11 shows that for establishmentsin Retail Trade and Services, we see more pronounced butvolatile differences between targets and controls. While thepatterns are volatile and differ across these sectors, thecumulative reduction in employment for the private equitytransactions compared with the controls is large in both16<strong>The</strong> sum <strong>of</strong> employment for targets across all years reported in Figure 6C is about 3.3 million workers. This represents the sum <strong>of</strong> employmentin the transaction years for targeted establishments over the 1980–2000 period.17<strong>The</strong> 10.3 percentage point calculation derives from the difference in the level between private equity transactions and controls in year five(about 34,000 employees) divided by the initial base in year zero.50 Large-sample studies: Employment<strong>The</strong> <strong>Global</strong> <strong>Economic</strong> <strong>Impact</strong> <strong>of</strong> <strong>Private</strong> <strong>Equity</strong> <strong>Report</strong> <strong>2008</strong>
sectors. In Retail Trade, the cumulative impact <strong>of</strong> the privateequity transaction after five years yields a 9.6% loweremployment level than would have occurred if the targetshad the same growth rates as the controls. <strong>The</strong> cumulativefive-year impact is 9.7% lower employment in Services forthe targets compared with the controls. 18Figure 12 shows the variation in the differences betweendifferent types <strong>of</strong> private equity transactions. <strong>The</strong>re are fewconcerted differences across the categories: each displaysa similar pattern. One exception is the fact that the period<strong>of</strong> reduced employment growth is considerably larger andconcentrated immediately after the transaction for thesecondary buyouts, 19 which presumably have alreadyundergone a restructuring under their previous owner. 20By contrast, public-to-private buyouts experiencereduced employment growth in the first two years after thetransaction relative to divisional and independent buyouts.C. Firm-level changes including greenfield entry,acquisitions and divestituresIn our establishment-based analysis in the last two sections,we focused our attention on the ultimate outcomes forestablishments and workers in target firms at the time <strong>of</strong> thedeal. Alternatively, one could focus on similar outcomes forthe entire target firm. While the analysis contained in the priortwo sections is an appropriate way to trace the employmentimpacts <strong>of</strong> private equity transactions for establishments andworkers at target firms at the time <strong>of</strong> the buyout, it ignoresthe opening <strong>of</strong> new establishments and other actions thatprivate equity firms or other subsequent owners may takethat impact employment at target firms post-buyout.In this final section, we address this shortcoming <strong>of</strong> theestablishment-based analysis. However, to do this we, bynecessity, restrict our attention to the subset <strong>of</strong> target firmsthat we can observe for some period post-buyout. With theLBD, we are able to readily follow establishments over time,even if they undergo ownership or other changes. Trackingfirms over time is more problematic due to mergers andother events that lead to changes in the firm-level identifiersin the LBD. This was not an issue in our establishmentanalysis above, since we only needed to find the target firmin the year <strong>of</strong> the private equity transaction and then follow itsestablishments over time, regardless <strong>of</strong> any changes in theirassociated firm identifiers.<strong>The</strong> disappearance <strong>of</strong> a firm ID in the LBD can be associatedwith a firm’s death, where all the firm’s establishments areshut down, or some form <strong>of</strong> organizational change such asa merger. It is possible to utilize the LBD’s robust longitudinalestablishment linkages to provide a rich description <strong>of</strong> theseorganizational changes. Such analyses are, at this point, verytime-consuming and resource-intensive. Thus, we restrict ourfirm-level analysis to a subset <strong>of</strong> target firms and similarcontrol firms that we can observe two years after the buyout.In order to be able to identify target firms that we canobserve two years after the buyout, we must restrict theset <strong>of</strong> transactions in this firm-level analysis relative to theestablishment-level analysis given the differences in thematching <strong>of</strong> the private equity transaction data at theestablishment and firm level. For the establishment-levelanalysis, as discussed in Section 3.B, the matching <strong>of</strong> theprivate equity transactions to the LBD is based on a 3-yearwindow centred on the transaction year. This is feasible andreasonable because with the establishment-level analysiswe use the information from the Capital IQ data to date thetransaction and, given high-quality establishment longitudinalidentifiers, only use the set <strong>of</strong> establishments that exist inthat deal year. In contrast, for the firm-level analysis we areforced to restrict attention to matched cases where thematch to the LBD occurs in the transaction year. Thismatching restriction implies that even before restricting ontwo-year survivors, our firm-level analysis starts with about65% <strong>of</strong> the matched transactions used in the establishmentlevelanalysis. Using this subset, we impose the furtherrestriction that we observe the target firm in the transactionyear and two years later. This latter restriction impliesthat in the firm-level analysis we have about 55% <strong>of</strong> thematched transactions in the establishment-level analysis(approximately 1,300 transactions). Note, however, thatconditional on matching in the transaction year, this survivorrestriction yields 97% <strong>of</strong> the employment from all the firmsthat match in the transaction year. Thus, it is the matchingrestriction and not the survivor restriction that matters mostfor our firm-level subset.Given that we track the target firms for two years and finda comparable group <strong>of</strong> controls, we can compare growthin employment and the number <strong>of</strong> establishments at targetfirms with similar control firms. In addition, the LBD permits usto overcome many <strong>of</strong> the challenges that plagued earlier workin that we can identify the components <strong>of</strong> the firm changesdue to greenfield entry, the closing <strong>of</strong> the establishmentsowned by the firm, acquisitions <strong>of</strong> new establishments anddivestitures <strong>of</strong> establishments owned by the firm. However, itis important to note that, since we restrict attention to firmsthat can be followed for at least two years post-private equitytransaction, the firm-level analysis focuses on a subset <strong>of</strong>18While not reported in Figure 11, we have also examined the patterns for the FIRE (Fire, Insurance, Real Estate) broad sector. We find even morevolatile patterns for FIRE than for Retail Trade and Services and a very large net difference between targets and controls.19It is important to note the differences in scale for the figure depicting secondary buyouts – we chose to use a different scale given the very largenet negative difference between targets and controls for the first year after the transaction.20In unreported analyses, we examine relative establishment growth rates across age and size classes. <strong>The</strong>re are some differences, but the posttransactionpatterns are quite similar across age and size classes. One notable difference between private equity transactions and controls isthe pre-transaction net growth differences for very young (between 0 and 4 years old) establishments: very young control establishments havesubstantially higher net growth compared with targets prior to the private equity transaction. This pattern likely reflects differences between targetsand controls in the age distribution <strong>of</strong> the parent firms <strong>of</strong> very young establishments. That is, among very young establishments, targets are likelypart <strong>of</strong> older firms that are ripe for restructuring.<strong>The</strong> <strong>Global</strong> <strong>Economic</strong> <strong>Impact</strong> <strong>of</strong> <strong>Private</strong> <strong>Equity</strong> <strong>Report</strong> <strong>2008</strong> Large-sample studies: Employment 51
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The Globalization of Alternative In
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ContributorsCo-editorsAnuradha Guru
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PrefaceKevin SteinbergChief Operati
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Letter on behalf of the Advisory Bo
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Executive summaryJosh lernerHarvard
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• Private equity-backed companies
- Page 17 and 18: C. Indian casesThe two India cases,
- Page 19 and 20: Part 1Large-sample studiesThe Globa
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- Page 25 and 26: should be fairly complete. While th
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- Page 31 and 32: FIguresFigure 1A: LBO transactions
- Page 33 and 34: TablesTable 1: Capital IQ 1980s cov
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- Page 39 and 40: Table 6: Determinants of exit succe
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- Page 55 and 56: Table 1: Summary statisticsPanel D:
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- Page 59 and 60: figuresFigure 1: Number of private
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- Page 103 and 104: Part 2Case studiesThe Global Econom
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Exhibit 5: Post buyout structureMes
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New Lookann-kristin achleitnerTechn
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feet. This restricted store space w
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institutional investors why this in
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Although a public listing did not a
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Exhibit 5: Employment development a
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Chinese private equity cases: intro
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Hony Capital and China Glass Holdin
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Hony’s Chinese name means ambitio
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Establishing early agreement on pos
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Executing the IPOEach of the initia
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Exhibit 1A: Summary of Hony Capital
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Exhibit 4: Members of the China Gla
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Exhibit 6A: China Glass post‐acqu
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Exhibit 8: China Glass stock price
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3i Group plc and Little Sheep*Lily
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y an aggressive franchise strategy,
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soul” of the business. But there
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Exhibit 1: Summary information on 3
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Exhibit 6: An excerpt from the 180-
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Indian private equity cases: introd
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ICICI Venture and Subhiksha *Lily F
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investment,” recalled Deshpande.
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2005 - 2007: Moderator, protector a
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Exhibit 3: Subhiksha’s board comp
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Warburg Pincus and Bharti Tele‐Ve
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founded two companies at this time
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By 2003 this restructuring task was
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Exhibit 1C: Private equity investme
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Exhibit 4B: Bharti cellular footpri
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Exhibit 6: Summary of Bharti’s fi
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Exhibit 7: Bharti’s board structu
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In the 1993‐94 academic year, he
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consumer products. She was also a R
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AcknowledgementsJosh LernerHarvard
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The World Economic Forum is an inde