13.07.2015 Views

Evidence from Firm-level Data in Vietnam

Evidence from Firm-level Data in Vietnam

Evidence from Firm-level Data in Vietnam

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

composite error u itis assumed to be uncorrelated with explanatory variables other than the laggeddependent variable, the time-<strong>in</strong>variant componentε to be uncorrelated across firms, i.e., cov( ε , ) = 0 ,iiε jthe transitory componentη to be uncorrelated across time [ cov( η , ) = 0 ], and these errors normallyititη it−sdistributed. The variance ofε ( σ ) is used as a s<strong>in</strong>gle parameter to parameterize the distribution of thei2ε ifirm effect. The <strong>in</strong>itial status is also controlled for by us<strong>in</strong>g specific <strong>in</strong>formation available <strong>in</strong> the dynamicprocess. We use the program “redprob” written <strong>in</strong> Stata® by Steward (2006) to run this regression.In the third specification, to avoid the possibility that the lagged dependent variable may excessivelypick up effects of firm characteristics mak<strong>in</strong>g these estimated effects less important, we employ arandom-effects probit model <strong>in</strong> fitt<strong>in</strong>g equation (14) us<strong>in</strong>g the sub-sample of firms that do not switch theirexporter or non-exporter status <strong>from</strong> a period to the next. This will alleviate the presence of lagged dependentvariable <strong>in</strong> the right hand side of equation (14). The equation to be estimated is:Yit= λ2Zit− 1+ λ3T+ λ4D+ εi+ ηit(16)Although this is somewhat arbitrary selection of sub-sample, it enables us to abstract <strong>from</strong> the effect of sunkcost to check for the robustness of the effects of the rema<strong>in</strong><strong>in</strong>g explanatory variables <strong>in</strong> the model.IV.2 Variable constructionThe dependent variable <strong>in</strong> this analysis is export status. Export status of a firm is the firm’s observedprobability of export<strong>in</strong>g. A firm is def<strong>in</strong>ed as an exporter at a given period of time if its direct exports accountfor at least 10 per cent of its sales <strong>in</strong> this period. The threshold value of 10 per cent is used <strong>in</strong> many otherpapers <strong>in</strong> the literature, even by the World Bank itself, to classify exporters and non-exporters. This def<strong>in</strong>itionis adequate for identify<strong>in</strong>g the firms as exporters that have a m<strong>in</strong>imum <strong>in</strong>terest <strong>in</strong> serv<strong>in</strong>g foreign markets,abstract<strong>in</strong>g <strong>from</strong> m<strong>in</strong>imal trade relationships due to sample shipments or border proximity. Because the<strong>in</strong>formation of direct exports is not available for the year 2002 (the first year of the panel), we assign exportstatus of firms <strong>in</strong> 2002 by us<strong>in</strong>g <strong>in</strong>formation of the year that firm started to export. Those firms hav<strong>in</strong>g startedexport<strong>in</strong>g by the year 2002 is reported as exporters <strong>in</strong> 2002. In any analysis related to this <strong>in</strong>formation, we<strong>in</strong>terpret firms assigned as exporters <strong>in</strong> 2002 as those hav<strong>in</strong>g export<strong>in</strong>g experience by 2002.Accord<strong>in</strong>g to the theoretical background discussed earlier and the characteristics of the data set weuse, we will <strong>in</strong>clude <strong>in</strong> the right hand side of estimation equations firm-specific and exogenous characteristicsthat affect the profitability of firms, besides the lagged dependent variable. Variables of firm characteristicsare productivity, size, <strong>in</strong>put <strong>in</strong>tensity, age, labor skill and ownership. All the values of firm-specifictime-variant variables will be calculated as the <strong>level</strong> relative to <strong>in</strong>dustry mean to alleviate any <strong>in</strong>dustrialheterogeneity. Other <strong>in</strong>dustry-specific effects will be captured via <strong>in</strong>dustry dummies. Effects of time-specificfactors such as macroeconomic conditions that affect all the firms, will be estimated by us<strong>in</strong>g time dummies.Region dummies are also <strong>in</strong>cluded to capture region-specific characteristics. We describe each variable asfollows, and summarize them <strong>in</strong> Table 2.As suggested by most of theoretical and empirical studies, productivity is the most important factor14

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!