targets and controls that are at least somewhat likely to beolder, larger and more likely to be successful than the targetand control establishments examined in the above twosections. Given the fact that the considerable majority <strong>of</strong>the target and control firms are older, larger ones, it is likelythat the firms that are disappearing are doing so due to anacquisition or other restructuring, not because <strong>of</strong> the outrightliquidation <strong>of</strong> the firm. Because we are only looking two yearsforward, we now include transactions through 2003. 21In this section, we employ a slightly different approachfrom that above. Rather than simply looking at the differencesacross firms, we undertake regression analyses. We use asobservations all firms in the LBD that are present in thetransaction year and two years thereafter. <strong>The</strong> dependentvariables – the key measures we are seeking to explain – arethe employment growth rates from the transaction year to twoyears after, as well as the associated growth in the number <strong>of</strong>establishments.We use as independent, or control variables, measures thatare similar to those we used to match the establishmentsand firms in the above analyses:• SU/MU is an indicator as to whether the firm in thetransaction year has more than one establishment• Firm age classes are again defined based on the age<strong>of</strong> the oldest establishment in the transaction year• Firm size classes are defined based upon totalemployment in the transaction year• Finally, we use in Table 1 a dummy variable denotingwhether the observation was a private equity target (asopposed to a control firm), and, in Table 2, a set <strong>of</strong>controls for the various private equity transaction typesAll regressions are weighted by employment, so largertransactions are given more influence.Again, it is important to note that these firm-level analysesinclude the effects <strong>of</strong> employment changes at existingestablishments, the opening <strong>of</strong> new greenfield facilities,the closing <strong>of</strong> establishments (conditional on the survival <strong>of</strong>the firm) as well as acquisitions and divestitures <strong>of</strong> alreadyexistingestablishments. <strong>The</strong> analyses in Sections 5.A and 5.Bonly capture the changes at existing establishments and theclosing <strong>of</strong> establishments. While the firm analysis includesestablishment exits, it does not include cases where theentire firm disappears. <strong>The</strong>se differences apply to bothtargets and controls.Our firm-level results are given in Tables 1 to 3. Table 1presents the results <strong>of</strong> regressions measuring the differencein employment and establishment growth rates (computedin the same manner as in the establishment-level analysisabove) between targets and controls where we control forthe effects listed above in a fully interacted model. <strong>The</strong> nontargetcontrols consist <strong>of</strong> all LBD firms in the same year, firmage category, size category and status as a single or multiunitfirm as the targets. This allows for a more parsimoniousand manageable analytic dataset.<strong>The</strong> estimated coefficients in Table 1 imply that the targetfirms grow at a lower rate relative to controls over a two-yearhorizon: the targets have a 3.6% lower net employmentgrowth rate than controls over this period. When we examinethe number <strong>of</strong> establishments, targets have a slightly highergrowth rate, with the difference a little under 1%.In Table 2 we report the results <strong>of</strong> regression where weexploit rich detail in the type <strong>of</strong> buyout transactions. <strong>The</strong>results indicate significant variation in outcomes acrosstransaction types. Note that all coefficients are relative tothe omitted control group. <strong>The</strong> difference in net employmentgrowth relative to controls is especially large in magnitudefor public-to-private and secondary transactions, as Table 2reveals. Interestingly, divisional transactions have a higher netgrowth rate than controls. <strong>The</strong> results are quite similar whenwe restrict to deals through 2000, although now buyoutsgain another 0.5% relative to controls in terms <strong>of</strong> netemployment growth at the firm level.While the results in Tables 1 and 2 are similar to theestablishment-level results in that targets contract relativeto controls, the establishment-level results imply a larger netdifference relative to the firm-level results. Using Figure 6C,we see that, over a two-year horizon, existing establishments<strong>of</strong> targets contract at about a 6.7% larger rate than controls,while for the firm-level results the net difference is 3.6%.<strong>The</strong>se results are not directly comparable given that the firmlevelanalysis is on a restricted sample <strong>of</strong> firms that continuefor two years. Nevertheless, we know that the contribution <strong>of</strong>greenfield entry, acquisitions and divestitures that are missedin the establishment-level analysis potentially account forsome <strong>of</strong> this difference. To explore the contribution <strong>of</strong> thelatter effects, Table 3 shows two-year employment-weightedgreenfield entry rates, establishment exit rates, establishmentacquisition rates and establishment divestiture rates for thesample <strong>of</strong> targets and controls.<strong>The</strong> results in Table 3 are striking on a number <strong>of</strong> dimensions.We find that target firms exhibit a very high greenfield entryrate relative to controls. Target firms have a greenfield entryrate <strong>of</strong> 14.9% relative to 8.9% for controls. However, targetfirms also have a very high establishment exit rate relative tocontrols. Target firms have an establishment exit rate <strong>of</strong>16.7% relative to 8.1% for controls. Thus, the net entry effectfrom establishments contributes to targets shrinking relativeto controls.We also find that targets have a higher pace <strong>of</strong> bothacquisitions and divestitures. Target firms have an21<strong>The</strong> patterns are similar, but the differences somewhat wider, when we only look through 2000.52 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>
employment-weighted acquisition rate <strong>of</strong> 7.4% comparedwith 4.7% for controls and an employment-weighteddivestiture rate <strong>of</strong> 5.7% compared with 2.9% for controls.<strong>The</strong> greater change in establishment ownership viaacquisitions and divestitures for targets does not yieldmuch <strong>of</strong> a net effect, but when combined with the entryand exit rate results, implies a much greater overall rate <strong>of</strong>change at the target firms.Some caution needs to be used in comparing theweighted mean rates in Table 3 with the results in Table 1.For Table 3, we compute the weighted mean rates amongthe targets and the controls for the indicated categories(e.g. greenfield entry). If one adds up the components <strong>of</strong>Table 3 (i.e. entry - exit + acquisition - divestiture + continuing),one obtains the weighted mean growth rates for targetsand controls reported in the last row <strong>of</strong> the table. This impliesa net difference between targets and controls based uponweighted net growth rates <strong>of</strong> -4.5%. <strong>The</strong> regression in Table1 yields a net difference <strong>of</strong> -3.6%. While Tables 1 and 3 useexactly the same sample <strong>of</strong> targets and controls (so thatthe controls are the LBD firms in the industry, firm age, firmsize, single unit/multi-unit and year cells as the target firms),Table 1 is based upon a employment-weighted firm-levelregression with a rich set <strong>of</strong> fully interacted effects. <strong>The</strong>reis a regression equivalent <strong>of</strong> Table 3 that would requirecomputing and using as dependent variables firm-levelgreenfield entry rates, exit rates, acquisition and divestiturerates and include the full set <strong>of</strong> interacted control effects inthe regression. We will explore such regression specificationsin future drafts <strong>of</strong> the paper.Overall, the results in Table 3 strongly show that target firmsare undergoing much more restructuring than we observe atsimilar non-target control firms. <strong>The</strong>se results suggest thatthe employment impact <strong>of</strong> private equity buyouts is muchmore complex than may be widely understood. While, onnet, we find slower employment growth associated withprivate equity transactions, we also find substantial greenfieldentry and acquisition <strong>of</strong> establishments by target firms postbuyout.This is indicative <strong>of</strong> substantial investments in andcommitments to the continued operation and success <strong>of</strong> thetarget firms by private equity firms. It is also consistent withthe view that private equity transactions are catalysts for awave <strong>of</strong> creative destruction in target firms, accelerating bothjob destruction and divestitures, on the one hand, and jobcreation and acquisitions, on the other.Before concluding this section, it is instructive to discussthe possible implications <strong>of</strong> the differences in the sample<strong>of</strong> private equity transactions comparing the firm-level andthe establishment-level results. <strong>The</strong> challenge that we facein our firm-level analysis and shared by virtually all theexisting firm-level studies <strong>of</strong> the impact <strong>of</strong> private equityon employment is that the analysis is based upon firms thatcan be accurately tracked longitudinally over time. As wehave discussed, tracking establishments longitudinally, whilea challenge as well, is a much less complex exercise. Incontrast, firm reorganizations and ownership changes makemeasures <strong>of</strong> firm entry and exit difficult to interpret. Thisimplies the firm-level analysis is based on a subset <strong>of</strong> thetransactions relative to the firm-level analysis for bothmatching and survival reasons.In terms <strong>of</strong> comparing the establishment-level to thefirm-level results, the establishment-level results have thevirtue that they are based on a larger sample <strong>of</strong> transactionsand also are not subject to survivor bias. However, as noted,the firm-level results have the advantage relative to theestablishment-level results that we can quantify thecontribution <strong>of</strong> greenfield entry as well as acquisitionsand divestitures for surviving firms.While it is difficult without further analysis to quantify theimplications <strong>of</strong> the sample restrictions for the firm-levelanalysis, comparisons <strong>of</strong> some aspects <strong>of</strong> the establishmentleveland firm-level results are insightful for possible directions<strong>of</strong> the bias and areas for further inquiry. In particular, thetabulations in Table 3 can be used to generate results for“existing” establishments in a manner analogous to theestablishment-level results for the survivor firms. Bycombining the continuing establishment and exitingestablishment effects, Table 3 implies that for targets,existing establishments <strong>of</strong> surviving firms had a two-yearnet growth rate <strong>of</strong> -18.4%. For controls, Table 3 impliesthat existing establishments <strong>of</strong> surviving firms had a two-yearnet growth rate <strong>of</strong> -8.2%. In comparing these results with theestablishment-level results using all targets (and associatedcontrols), Figure 6C yields that “existing” establishments fromtargets exhibited a two-year net growth rate <strong>of</strong> -17.7% whilecontrols exhibited a two-year net growth rate <strong>of</strong> -10.9%.On the basis <strong>of</strong> these comparisons, it is tempting toconclude that the sample selection bias is more <strong>of</strong> an issuefor controls than targets since the difference between -18.4%and -17.7% is smaller than the difference between -8.2% and-10.9%. If true, this would suggest the adjustment for sampleselection bias in our firm-level results would push towardsa smaller gap between targets and controls. Moreover, itis possible to construct a rationale for such a difference insample selection bias. For the targets, the firms that cannotbe matched in the transaction year or cannot be trackedsubsequently are plausibly being reorganized as aconsequence <strong>of</strong> the private equity transaction. Indeed, ourfindings <strong>of</strong> higher acquisition and divestiture rates for targetssuggest more reorganization <strong>of</strong> targets relative to controls.For controls, the firms that cannot be tracked are also likelyto be driven primarily by reorganizations, but also by wholefirm exits (i.e. cases where the firms’ operations ceaseentirely). Drawing inferences about the implications for thesurvivor bias adjustments needed for targets and controls istoo speculative, however, since sample selection bias probablyimpacts not only continuing and exiting establishment ratesbut also greenfield entry. It is also clear that computinggreenfield entry rates for firms undergoing ownershipchanges and reorganizations is a very difficult task – but<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 53
- Page 2 and 3:
The Globalization of Alternative In
- Page 5:
ContributorsCo-editorsAnuradha Guru
- Page 9 and 10:
PrefaceKevin SteinbergChief Operati
- Page 11 and 12:
Letter on behalf of the Advisory Bo
- Page 13 and 14:
Executive summaryJosh lernerHarvard
- Page 15 and 16:
• Private equity-backed companies
- Page 17 and 18:
C. Indian casesThe two India cases,
- Page 19 and 20: Part 1Large-sample studiesThe Globa
- Page 21 and 22: The new demography of private equit
- Page 23 and 24: among US publicly traded firms, it
- Page 25 and 26: should be fairly complete. While th
- Page 27 and 28: according to Moody’s (Hamilton et
- Page 29 and 30: draining public markets of firms. I
- Page 31 and 32: FIguresFigure 1A: LBO transactions
- Page 33 and 34: TablesTable 1: Capital IQ 1980s cov
- Page 35 and 36: Table 2: Magnitude and growth of LB
- Page 37 and 38: Table 4: Exits of individual LBO tr
- Page 39 and 40: Table 6: Determinants of exit succe
- Page 41 and 42: Table 7: Ultimate staying power of
- Page 43 and 44: Appendix 1: Imputed enterprise valu
- Page 45 and 46: Private equity and long-run investm
- Page 47 and 48: alternative names associated with t
- Page 49 and 50: 4. Finally, we explore whether firm
- Page 51 and 52: When we estimate these regressions,
- Page 53 and 54: cutting back on the number of filin
- Page 55 and 56: Table 1: Summary statisticsPanel D:
- Page 57 and 58: Table 4: Relative citation intensit
- Page 59 and 60: figuresFigure 1: Number of private
- Page 61 and 62: Private equity and employment*steve
- Page 63 and 64: Especially when taken together, our
- Page 65 and 66: centred on the transaction year ide
- Page 67 and 68: and Vartia 1985.) Aggregate employm
- Page 69: sectors. In Retail Trade, the cumul
- Page 73 and 74: FIguresFigure 1: Matches of private
- Page 75 and 76: Figure 6:Figure 6A: Comparison of n
- Page 77 and 78: Figure 8:Figure 8A: Comparison of j
- Page 79 and 80: Figure 11: Variation in impact in e
- Page 81 and 82: Figure 12: Differences in impact on
- Page 83 and 84: Private equity and corporate govern
- Page 85 and 86: et al (2007) track the evolution of
- Page 87 and 88: groups aim to improve firm performa
- Page 89 and 90: distribution of the LBO sponsors, m
- Page 91 and 92: the most difficult cases. This stor
- Page 93 and 94: to see whether these changes of CEO
- Page 95 and 96: Figure 3:This figure represents the
- Page 97 and 98: TablesTable 1: Company size descrip
- Page 99 and 100: Table 5: Changes in the board size,
- Page 101 and 102: Table 7: Board turnoverPanel A: Siz
- Page 103 and 104: Part 2Case studiesThe Global Econom
- Page 105 and 106: European private equity cases: intr
- Page 107 and 108: Exhibit 1: Private equity fund size
- Page 109 and 110: Messer Griesheimann-kristin achleit
- Page 111 and 112: ealized it was not possible to grow
- Page 113 and 114: The deal with Allianz Capital partn
- Page 115 and 116: the deal, the private equity invest
- Page 117 and 118: Exhibit 1: The Messer Griesheim dea
- Page 119 and 120: Exhibit 5: Post buyout structureMes
- Page 121 and 122:
New Lookann-kristin achleitnerTechn
- Page 123 and 124:
feet. This restricted store space w
- Page 125 and 126:
institutional investors why this in
- Page 127 and 128:
Although a public listing did not a
- Page 129 and 130:
Exhibit 5: Employment development a
- Page 131 and 132:
Chinese private equity cases: intro
- Page 133 and 134:
Hony Capital and China Glass Holdin
- Page 135 and 136:
Hony’s Chinese name means ambitio
- Page 137 and 138:
Establishing early agreement on pos
- Page 139 and 140:
Executing the IPOEach of the initia
- Page 141 and 142:
Exhibit 1A: Summary of Hony Capital
- Page 143 and 144:
Exhibit 4: Members of the China Gla
- Page 145 and 146:
Exhibit 6A: China Glass post‐acqu
- Page 147 and 148:
Exhibit 8: China Glass stock price
- Page 149 and 150:
3i Group plc and Little Sheep*Lily
- Page 151 and 152:
y an aggressive franchise strategy,
- Page 153 and 154:
soul” of the business. But there
- Page 155 and 156:
Exhibit 1: Summary information on 3
- Page 157 and 158:
Exhibit 6: An excerpt from the 180-
- Page 159 and 160:
Indian private equity cases: introd
- Page 161 and 162:
ICICI Venture and Subhiksha *Lily F
- Page 163 and 164:
investment,” recalled Deshpande.
- Page 165 and 166:
2005 - 2007: Moderator, protector a
- Page 167 and 168:
Exhibit 3: Subhiksha’s board comp
- Page 169 and 170:
Warburg Pincus and Bharti Tele‐Ve
- Page 171 and 172:
founded two companies at this time
- Page 173 and 174:
By 2003 this restructuring task was
- Page 175 and 176:
Exhibit 1C: Private equity investme
- Page 177 and 178:
Exhibit 4B: Bharti cellular footpri
- Page 179 and 180:
Exhibit 6: Summary of Bharti’s fi
- Page 181 and 182:
Exhibit 7: Bharti’s board structu
- Page 183 and 184:
In the 1993‐94 academic year, he
- Page 185 and 186:
consumer products. She was also a R
- Page 187 and 188:
AcknowledgementsJosh LernerHarvard
- Page 189:
The World Economic Forum is an inde