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Skilled-Labor Intensity Differences Across Firms, Endogenous Product Quality, and Wage Inequality

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Abstract

This paper proposes a theory to explain the relative wage-rate increase for skilled labor that results from trade liberalization that relies on within-sector reallocations of production resources (skilled and unskilled labor) across firms. Motivated by some stylized facts, in a model with firm heterogeneity, including firms that differ in their skill intensity even within a narrowly defined industry, firms with relatively high skill intensity that are more likely to be exporters, and a positive association between a firmโ€™s skill intensity and its product quality, I develop a general equilibrium model where firms with a higher skill intensity endogenously choose a higher-quality product, and tend to be more profitable. In this framework, a reduction in trade costs allows members of the workforce to reallocate to more efficient firms that produce higher-quality products, using their skilled labor more intensively, resulting in a rising skill premium. The main sources of the increasing wage inequality that followed trade openness are a positive link between a firmโ€™s skill intensity, its product quality, and quality competition.

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Notes

  1. Feenstra and Hanson (1995) and Zhu and Trefler (2005) propose multinational outsourcing as a possible reason for the rising wage inequality, while Yeaple (2005) and Burstein and Vogel (2010) emphasize skills-biased technical change in a model with firm heterogeneity to explain a positive link between trade openness and between-group wage inequality. Davis and Harrigan (2011) and Helpman et al. (2010) explain the within-group wage inequality by introducing a search and matching friction in a labor market with ex-ante identical workers.

  2. See also Bernard et al. (2007), Crozet and Trionfetti (2011), and Harrigan and Reshef (2011) for evidence of firm heterogeneity with respect to factor intensity. Irarrazabal et al. (2009) show that the exporter wage premium is mainly caused by differences in workforce composition across firms. Similarly, Schank et al. (2007) use linked employer-employed data from Germany to confirm that the wage differential between exporters and non-exporters becomes small enough when employeesโ€™ observable and unobservable characteristics are controlled for.

  3. See Kyoji and Keiko (2010) for the empirical evidence of a significant and positive association between the unit value of a product (as measured by quality) and a firmsโ€™ white-collar worker intensity using the factory level of the Japanese manufacturing sector.

  4. See Schott (2004), Bastos and Silva (2010), Baldwin and Harrigan (2011), Harrigan et al. (2011), and Johnson (2012) for a positive association between a firmโ€™s product quality and its competitiveness.

  5. Irarrazabal et al. (2009) investigate the importance of firmโ€™s workforce composition relative to intrinsic firm productivity as sources of the exporterโ€™s productivity premium, and show that over 67% of the exporter productivity premium reflects differences in workforce composition rather than intrinsic firm productivity. In fact, the main results in my model are not affected by including Hicks-neutral productivity differences across firms in the sense that a more productive firm chooses a technology that uses higher skill intensive labor to produce a higher-quality product. For the sake of tractability, I focus on a model without heterogeneous productivity across firms.

  6. As noted in Baldwin and Ito (2011), I use the term โ€œquality competitionโ€ when firmsโ€™ competitiveness depends on the quality-adjusted price (i.e., price/quality), where firms with a lower quality-adjusted price are more efficient.

  7. This pattern contradicts the Stolper-Samuelson effect in the Heckscher-Ohlin model assuming a homogeneous quality of product. Therefore, the pattern of wage inequality following trade liberalization seems to depend on sector or disaggregated product-level. In this context, analyzing the effect of trade liberalization on wage inequality should be considered at least at the sector-level, but not at the aggregate level.

  8. Throughout this paper, I do not consider technology or knowledge spillovers across firms in order to discuss the pure effect of lowering trade costs on within-sector wage inequality. In a single sector version of the model, technology/productivity spillovers can occur through the following channels: the labor reallocation across firms (in particular, labor turnover from relatively productive foreign firms to domestic firms) and the interactions between multinational and their local suppliers through a contract relationship (see, for example, Girma and Gรถrg 2007). In this paper, however, I rule out the possibility of technology spillovers between firms for the tractability of the model. In order to discuss technology spillovers across firms, the extension of the model that incorporates labor market friction or exogenous R&D spillovers between firms into a model with heterogeneous firms should be considered.

  9. Within-sector productivity differences across firms can be substantially explained by differences in skill intensity (that is, the different proportions of skilled worker across firms). In a recent paper that uses firm-level data that matches employer and employee for Norwegian Manufacturing sector, the authors confirm the fact that over 67 % of the exporter productivity premium reflects differences in skill intensiveness rather than in intrinsic firm efficiency (Irarrazabal et al. 2009). See also Crozet and Trionfetti (2011) for empirical evidence that factor intensities differ across firms even within the same industry.

  10. As in Harrigan and Reshef (2011), I assume that \(\overline {w}\) depends on the economyโ€™s overall factor abundance and \(\overline {w}=\left (\frac {H}{H+L} \right ) s+\left (\frac {L}{H+L} \right ) w\), where H and L are the economyโ€™s inelastic aggregate supplies of skilled and unskilled labor respectively. The cost function, therefore, is homogeneous of degree one in input prices.

  11. See Abowd et al. (1996), Kyoji and Keiko (2010) and Kugler and Verhoogen (2012) for a positive relationship between a firmโ€™s skill intensity and its product quality.

  12. Taking the derivative of the second term of marginal costs, \((s^{\theta } w^{1-\theta })\frac {q^{\phi }}{\theta ^{\alpha }}\) with respect to skill intensity ๐œƒ gives marginal cost decreases with skill intensity ๐œƒ, assuming that ฮฑ is high enough. For more details regarding this assumption on ฮฑ, see the following section.

  13. One can think of this profit maximization as a two-stage process: After firms draw their own skill intensity ๐œƒ, they choose their product quality q simultaneously. Second, firms simultaneously choose their prices and output levels given their product qualities. The optimal price and quality that are determined by firms with skill intensity ๐œƒ can be solved by working backwards: In the second stage, a firm chooses the price and quantity, given its quality q, so that the optimal price charged by firms with skill intensity ๐œƒ and quality q is a constant mark-up over their marginal cost, that is, \(p(\theta ,q)=\left (\frac {\sigma }{\sigma -1}\right )s^{\theta }w^{1-\theta } \left [1+\frac {q^{\phi }}{\theta ^{\alpha }} \right ]\). Knowing this price rule given each product quality, firms in the first stage choose their optimal quality in response to their own skill intensity, which is shown in Eq.ย 6. In more detail, see Whang (2014).

  14. Note that \(\tilde {P}=\left ({\int }_{\omega \in {\Omega }}[\tilde {p}(\omega )]^{1-\sigma }d\omega \right )^{1/1-\sigma }\). Although \(\tilde {P}\) is endogenous to the industry, firms take it as an exogenous variable since a firmโ€™s size is negligible relative to the industry, as a whole, under the assumption of monopolistic competition.

  15. See Cremer et al. (1994), Khandelwal (2010), and Schmitt (2002), where the authors assume the quadratic form of marginal cost (MC) with respect to quality, M C(ฯ†, q)=ฯ† + q 2 where ฯ† and q are a firm-specific and a quality-specific component, respectively.

  16. Taking the derivative of the firmโ€™s revenue function with respect to ๐œƒ gives \(\frac {\partial R(\theta )}{\partial \theta }>0\) if \(\alpha >\phi ln(\frac {s}{w})\theta \) for ๐œƒ โˆˆ [0,1], so when \(\alpha >\phi ln(\frac {s}{w})\) the firmโ€™s revenue increases with skill intensity ๐œƒ for all ๐œƒ โˆˆ [0,1].

  17. In contrast, when \(\alpha <\phi ln(\frac {s}{w})\) holds, firms with a higher skill intensity produce a higher quality variety, but they are less competitive because the price per quality of firms increases in firm-specific skilled-labor intensity, that is p(๐œƒ)/q(๐œƒ) increases in ๐œƒ. In this context, firms that produce a relatively low-quality product using unskilled-workers relatively intensively are more likely to be exporters. As trade costs fall, thus, the production resources are reallocated towards more efficient firms, which are less skilled-labor intensive. In a perfectly competitive labor market, the relative demand for unskilled labor increases. As a consequence, lowering trade costs will decrease the within-sector relative wage of skilled labor. This occurrence under the assumption of \(\alpha <\phi ln(\frac {s}{w})\), however, is a contrast to what we have seen in the empirical studies using firm-level data. In this sense, I only focus on the case of \(\alpha >\phi ln(\frac {s}{w})\) for the rest of this paper.

  18. See Melitz (2003), Bernard et al. (2007), and Harrigan and Reshef (2011) for the free entry condition in detail. In fact, the free entry condition implies that the expected value of entry, \(\frac {1-G(\theta ^{*})}{\delta }\overline {\pi }\), equals the sunk fixed entry cost, \(f_{e} \overline {w}\), that is, in effect, equivalent to Eq.ย 9.

  19. As in Harrigan and Reshef (2011), I assume that \(\overline {w}\) depends on the economyโ€™s overall factor abundance, that is, \(\overline {w}=\left (\frac {H}{H+L} \right ) s+\left (\frac {L}{H+L} \right ) w\), where H and L are the economyโ€™s inelastic aggregate supplies of skilled and unskilled labor respectively. The aggregate labor demand for each type of worker in the fixed costs, equation (18), can be obtained by taking the derivative of the total fixed costs, \(\left (f +\frac {\delta }{1-G(\theta ^{*})}f_{e}\right )M\overline {w}\), with respect to each s and w.

  20. I set the standard deviation at 0.15 so that skill intensity, ๐œƒ is normally distributed over [0.1]. As an alternative distribution of skill intensity, I also use a uniform distribution over [0,1] and the results are similar to normal distribution. In the following discussion, I focus on a normal distribution of skill intensity.

  21. In the later section for an open economy, I use different sets of values for ฯ• and ฮฑ (e.g., ฯ• = 1.5 and ฮฑ = 2) to ensure that different values of ฯ• and ฮฑ do not affect the overall patterns of the skill premium and the zero-profit skill intensity cut-off as long as the condition, \(\alpha >\phi \textnormal {ln}\left (\frac {s}{w}\right )\), holds. Indeed, ceteris paribus, the different sets of ฯ• and ฮฑ give the same patterns for these variables of interest, but different scales.

  22. See also Fig.ย 6 in Appendix, which illustrates that the intersection of the two curves (these curves are based on the free entry condition and the labor market clearing condition) determines equilibrium ๐œƒ โˆ— and s/w as shown in Tableย 1. As illustrated in Fig.ย 6, the increase in the fixed production cost f, all else being equal, shifts the free entry curve to the right, so that both s/w and ๐œƒ โˆ— rise. On the other hand, all else being equal, the increase in the relative endowment of skilled labor, H/L, shifts the labor market clearing condition to the right, so s/w falls while ๐œƒ โˆ— rises.

  23. Although the increase in ๐œƒ โˆ— raises the skill premium, s/w, this positive effect is relatively small enough to be dominated by the negative effect of H/L on the skill premium, so that the increase in the relative endowment of skilled labor leads to a decline in the skill premium.

  24. Under the assumption of \(\alpha >\phi ln(\frac {s}{w})\), which ensures that firms with a higher skill intensity produce a higher-quality product and become more profitable, it is easy to show that \(\left (\frac {s}{w}\right )^{-\theta } (\theta )^{\alpha / \phi }\) increases in ๐œƒ.

  25. Given that the ex ante probability of the producing firms is \(1-G(\theta ^{*}_{d})\), \([1-G(\theta ^{*}_{x})]/[1-G(\theta ^{*}_{d})]\) indicates the ex ante probability of being an exporter, conditional on successful entry.

  26. When \(\tau \left (\frac {f_{x}}{f}\right )^{1/(\sigma -1)}\) equals one (e.g., ฯ„ = 1 and f = f x ), the two skill intensity thresholds must be equal, that is \(\theta _{d}^{*}=\theta _{x}^{*}\). See Eq.ย 25 for this relationship between the two skill intensity cut-offs.

  27. For Fig.ย 4, I set H = 1500,L = 2000, f e = 20, f = 2, ฯ„ = 1.1, ฯ• = 1.1, and ฮฑ = 1.5.

  28. Theoretically, it is possible that the skill intensity cut-off for the domestic sales is larger than the export skill intensity cut-off, \(\theta _{d}^{i*}>\theta _{x}^{i*}\), when two countries have different endowments (and hence different \(\tilde {P}\) and E) and \(\tau \left (\frac {f_{x}}{f}\right )^{\frac {1}{\sigma -1}}=1\). This implies that the least efficient firms only serve the export market, while the most profitable firms serve both domestic and foreign markets. This possibility is shown in Tableย 3 in the following numerical exercise.

  29. When one observes both exports and imports of the same good, this pattern of flow is described as two-way or intra-industry trade.

  30. The effect of the reduction of trade costs on the real wage of unskilled workers is relatively small compared to the impact on the real wage for skilled labor. The real wage for country Aโ€™s skilled labor is calculated by \(\frac {s_{A}}{\tilde {P}_{A}}\).

  31. \(\upsilon (s/w, \theta _{d}^{*}) =\left (\frac {\sigma -1}{\phi }\right )[1-G(\theta _{d}^{*})]f\left (\frac {s}{w}\right )^{(\tilde {\theta }_{d}(\theta _{d}^{*})-\theta ^{*}_{d})(1-\sigma )}\left (\frac {\tilde {\theta }_{d}(\theta _{d}^{*})}{\theta ^{*}_{d}}\right )^{\frac {\alpha (\sigma -1)}{\phi }}\) and \(\psi (s/w, \theta _{x}^{*})=\left (\frac {\sigma -1}{\phi } \right )[1-G(\theta _{x}^{*})]f_{x} \left (\frac {s}{w}\right )^{(\tilde {\theta }_{x}(\theta _{x}^{*})-\theta ^{*}_{x})(1-\sigma )}\left (\frac {\tilde {\theta }_{x}(\theta _{x}^{*})}{\theta ^{*}_{x}}\right )^{\frac {\alpha (\sigma -1)}{\phi }}\).

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Acknowledgments

The author thanks James Markusen, Keith Maskus, Jin-hyuk Kim, and Murat Iyigun for very insightful comments. The author also thanks the editor and anonymous referees for their helpful suggestions. The paper has also benefited from comments by seminar participants in the KIEP. The errors remain the authorโ€™s responsibility.

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Correspondence to Unjung Whang.

Appendix

Appendix

1.1 Proof of Proposition 1

To prove this, two curves defined by the equilibrium conditions Eqs.ย 13 and 19 must be uniquely intersected in the (s/w, ๐œƒ โˆ—) space. For convenience, I rewrite two equilibrium conditions (the free entry condition and the labor market clearing condition) as follows:

$$ FE\left( \frac{s}{w},\theta^{*}\right)= \left\{ \left( \frac{s}{w}\right)^{(\tilde{\theta}(\theta^{*})-\theta^{*})(1-\sigma)} \left( \frac{\tilde{\theta}(\theta^{*})}{\theta^{*}}\right)^{\frac{\alpha(\sigma-1)}{\phi}} -1 \right\} -\frac{\delta}{1-G(\theta^{*})}\frac{f_{e}}{f}=0, $$
(A.1)
$$ LE\left( \frac{s}{w}, \theta^{*}\right)=\frac{\left( \frac{w}{s}\right){\int}_{\theta^{*}}^{1} \left( \frac{s}{w}\right)^{\theta(1-\sigma)} \theta^{\frac{\alpha(\sigma-1)}{\phi}}\theta g(\theta)d\theta}{{\int}_{\theta^{*}}^{1} \left( \frac{s}{w}\right)^{\theta(1-\sigma)} \theta^{\frac{\alpha(\sigma-1)}{\phi}}(1-\theta)g(\theta)d\theta}-\frac{H}{L}=0, $$
(A.2)

where the weighted average skill intensity \(\tilde {\theta }(\theta ^{*})\) is given by Eq.ย 10.

First, I show that the free entry condition (A.1) gives a negative association between s/w and ๐œƒ โˆ— using the implicit function theorem.

$$\frac{\partial FE(s/w, \theta^{*})}{\partial (s/w)}=(1-\sigma)(\tilde{\theta}(\theta^{*}) -\theta^{*}) \left( \frac{s}{w}\right)^{(\tilde{\theta}(\theta^{*}) -\theta^{*})(1-\sigma)-1} \left( \frac{\tilde{\theta}(\theta^{*})}{\theta^{*}}\right)^{\frac{\alpha(\sigma-1)}{\phi}} <0. $$

where the inequality holds because the constant term, (1โˆ’ฯƒ), is negative. By the second fundamental theorem of calculus, taking the derivative with respect to ๐œƒ โˆ— gives

$$\begin{array}{@{}rcl@{}} \frac{\partial FE(s/w, \theta^{*})}{\partial \theta^{*}}=& \xi(s/w, \theta^{*}) \left\lbrace \tilde{\theta}^{\prime}(\theta^{*}) \left[ \frac{\alpha}{\tilde{\theta}(\theta^{*})}-\textnormal{ln}(\frac{s}{w})\phi \right] - \left[\frac{\alpha}{\theta^{*}}-\textnormal{ln}(\frac{s}{w})\phi \right] \right\rbrace\\ &- \delta\frac{f_{e}}{f}\frac{g(\theta^{*})}{(1-G(\theta^{*}))^{2}}< 0, \end{array} $$

where \(\xi (s/w, \theta ^{*})=\frac {\sigma -1}{\phi } \left (\frac {s}{w}\right )^{(\tilde {\theta }(\theta ^{*}) -\theta ^{*})(1-\sigma )} \left (\frac {\tilde {\theta }(\theta ^{*})}{\theta ^{*}}\right )^{\frac {\alpha (\sigma -1)}{\phi }}\) is positive. \(\tilde {\theta }^{\prime }(\theta ^{*})\) denotes the derivative of the weighted average skill intensity with respect to ๐œƒ โˆ—. By the second fundamental theorem of calculus, taking the derivative of Eq.ย 10 with respect to ๐œƒ โˆ— gives:

$$\tilde{\theta}^{\prime}(\theta^{*})=\frac{1}{1-\sigma} \left( {\int}_{\theta^{*}}^{1}\theta^{\sigma-1} \frac{g(\theta)}{1-G(\theta^{*})}d\theta\right)^{\frac{1}{\sigma-1}-1}(\theta^{*})^{\sigma-1} \frac{g(\theta^{*})}{1-G(\theta^{*})}.$$

Since ฯƒ > 1, \(\tilde {\theta }^{\prime }(\theta ^{*})\) is negative. Thus, the inequality, \(\frac {\partial FE(s/w, \theta ^{*})}{\partial \theta ^{*}}<0\), holds because of the assumption that I take in the previous section, \(\alpha >\textnormal {ln}(\frac {s}{w})\phi \), which implies that the firms revenue/profitability increases with the skill intensity as well as with product quality. Therefore, two equilibrium variables (s/w and ๐œƒ โˆ—) have a negative relationship, which is established by using the implicit function theorem:

$$\frac{d(\frac{s}{w})}{d\theta^{*}}=-\frac{\partial FE(\frac{s}{w}, \theta^{*})/\partial \theta^{*}}{\partial FE(\frac{s}{w}, \theta^{*})/\partial (\frac{s}{w})} <0. $$

Second, the free entry condition (A.1) implies that as ๐œƒ โˆ— goes to zero, the skill premium s/w has to increase as much as possible for F E(s/w, ๐œƒ โˆ—) = 0. As ๐œƒ โˆ— increases, on the other hand, s/w must decrease as quickly as possible for F E(s/w, ๐œƒ โˆ—) = 0 so that s/w goes to zero.

To complete this proof, I need to show that the labor market clearing condition gives a positive link between ๐œƒ โˆ— and s/w. Unfortunately, Eq.ย A.2 cannot be solved analytically using the implicit function theorem. To establish a positive link between ๐œƒ โˆ— and s/w, I follow the method introduced by Harrigan and Reshef (2011) where they effectively prove it. I begin with the labor market clearing condition, Eq.ย 19:

$$ \frac{{\int}_{\theta^{*}}^{1} D_{h}\left( \theta, \frac{s}{w}\right)g(\theta)d\theta}{{\int}_{\theta^{*}}^{1} D_{l}\left( \theta, \frac{s}{w}\right)g(\theta)d\theta}=\frac{H}{L}. $$

Since \(\frac {D_{h}(\theta , \frac {s}{w})}{D_{l}(\theta , \frac {s}{w})}=\frac {\theta }{1-\theta }\left (\frac {w}{s}\right )\), which is from Eq.ย 16, I can rewrite equation above as follows:

$$ \frac{\left( \frac{w}{s}\right){\int}_{\theta^{*}}^{1} \left( \frac{\theta}{1-\theta} \right) D_{l}(\theta, \frac{s}{w})g(\theta)d\theta}{{\int}_{\theta^{*}}^{1} D_{l}(\theta, \frac{s}{w})g(\theta)d\theta}=\frac{H}{L}. $$

where \(\left (\frac {\theta }{1-\theta } \right )\) represents the ratio of skilled to unskilled labor employed by firms with ๐œƒ. By defining \({\Psi }(\theta , \frac {s}{w}, \theta ^{*})=\frac {D_{l}(\theta , \frac {s}{w})}{{\int }_{\theta ^{*}}^{1} D_{l}(\theta , \frac {s}{w})g(\theta )d\theta }\), the labor market clearing condition is

$$ \left( \frac{w}{s}\right){\int}_{\theta^{*}}^{1}\left( \frac{\theta}{1-\theta}\right) {\Psi}\left( \theta, \frac{s}{w}, \theta^{*}\right) g(\theta) d\theta=\frac{H}{L}. $$

where \({\Psi }(\theta , \frac {s}{w}, \theta ^{*})\) can be interpreted as the share of unskilled labor that works for firms with ๐œƒ. The above Equation indicates that the relative endowment of skilled labor (H/L) is equal to the average of the firm level skill ratios weighted by the firmโ€™s unskilled labor share. Now I examine how the increase in ๐œƒ โˆ— affects the skill premium, s/w. The increase in skill intensity ๐œƒ โˆ— implies that the least profitable firms, which are less skill intensive than average, exit so that the weighted average of the skill ratio of the surviving firms increases (i.e., \({\int }_{\theta ^{*}}^{1}\left (\frac {\theta }{1-\theta }\right ) {\Psi }(\theta , \frac {s}{w}, \theta ^{*}) g(\theta ) d\theta \nearrow \)). To keep the same level of the left hand side of equation above, the relative wage of skilled to unskilled labor (s/w) should be higher. Thus I confirm that the zero profit cut-off, ๐œƒ โˆ—, is positively associated with the skill premium s/w along the labor market clearing equation. The intuition behind the positive link between ๐œƒ โˆ— and s/w is that an increase in ๐œƒ โˆ— leads to an incipient relative excess in demand for skilled labor, which results in raising the relative skilled worker wage. Now I confirm that the equilibrium variables ๐œƒ โˆ— and s/w are determined uniquely. โ–ช

Figureย 6 illustrates the existence of the equilibrium skill intensity cut-off, ๐œƒ โˆ—, and the skill premium, s/w, at which the free entry condition (Eqs.ย 10 and 13) and the labor market clearing condition (19) are intercepted. For Fig.ย 6, I assume that all parameters are the same as noted in the numerical exercise (section 2.3.4). In addition, I assume that the relative abundance of skilled labor H/L is either 0.5 or 0.75 and that the fixed production cost, f, is either 1 or 2.

Fig.ย 6
figure 6

Free entry and labor market equilibrium curves in autarky

As shown in Fig.ย 6, the decline of fixed cost f shifts the free entry curve to the left and the increase in the relative abundance of skilled labor H/L shifts the labor market curve to the right. These are all four possible equilibria, which depend on the value of H/L and f. The equilibrium ๐œƒ โˆ— and \(\frac {s}{w}\), in each equilibrium, are also shown in Tableย 1.

1.2 Proof of Proposition 2

Conveniently, I rewrite the costly trade equilibrium conditions under the symmetric assumption as follows: First Eq.ย A.3 links the equilibrium variables of interest (s/w, \(\theta _{d}^{*}\) and \(\theta _{x}^{*}\)), which depend on trade costs. Equationsย A.4 and A.5 represent the free entry condition and labor market clearing condition respectively.

$$ \left( \frac{s}{w}\right)^{-(\theta_{x}^{*}-\theta_{d}^{*})}\left( \frac{\theta_{x}^{*}}{\theta_{d}^{*}}\right)^{\frac{\alpha}{\phi}}=\tau\left( \frac{f_{x}}{f}\right)^{\frac{1}{\sigma-1}}. $$
(A.3)
$$\begin{array}{@{}rcl@{}} FE\left( \frac{s}{w}, \theta_{d}^{*}\right)&=&[1-G(\theta^{*}_{d})]f\left[\left( \frac{s}{w}\right)^{(\tilde{\theta}_{d}(\theta_{d}^{*})-\theta^{*}_{d})(1-\sigma)}\left( \frac{\tilde{\theta}_{d}(\theta_{d}^{*})}{\theta^{*}_{d}}\right)^{\frac{\alpha(\sigma-1)}{\phi}} -1\right]+\\ &&[1-G(\theta_{x}^{*})]f_{x}\left[\left( \frac{s}{w}\right)^{(\tilde{\theta}_{x}(\theta_{x}^{*})-\theta^{*}_{x})(1-\sigma)}\left( \frac{\tilde{\theta}_{x}(\theta_{x}^{*})}{\theta^{*}_{x}}\right)^{\frac{\alpha(\sigma-1)}{\phi}} -1\right]\\&&-\delta f_{e}. \end{array} $$
(A.4)
$$\begin{array}{@{}rcl@{}} LE(\bullet)&=&\frac{\left( \frac{w}{s}\right)\left[{\int}_{\theta^{*}_{d}}^{1} \left( \frac{s}{w}\right)^{\theta(1-\sigma)}\theta^{\frac{\alpha(\sigma-1)}{\phi}}\theta g(\theta)d\theta+\tau^{-\sigma}{\int}_{\theta^{*}_{x}}^{1} \left( \frac{s}{w}\right)^{\theta(1-\sigma-1)}\theta^{\frac{\alpha(\sigma-1)}{\phi}}\theta g(\theta)d\theta \right]}{{\int}_{\theta^{*}_{d}}^{1} \left( \frac{s}{w}\right)^{\theta(1-\sigma)}\theta^{\frac{\alpha(\sigma-1)}{\phi}}(1-\theta) g(\theta)d\theta+\tau^{-\sigma}{\int}_{\theta^{*}_{x}}^{1} \left( \frac{s}{w}\right)^{\theta(1-\sigma)}\theta^{\frac{\alpha(\sigma-1)}{\phi}}(1-\theta) g(\theta)d\theta}\\&&-\frac{H}{L}. \end{array} $$
(A.5)

where the weighted average skill intensity for each market, \(\tilde {\theta }_{d}(\theta _{d}^{*})\) and \(\tilde {\theta }_{x}(\theta _{x}^{*})\) are given by Eqs.ย 27. Note that the export skill intensity cut-off is a function of both the skill premium and the zero-profit skill intensity cut-off, that is, \(\theta _{x}^{*}(s/w, \theta _{d}^{*})\) given by Eq.ย A.3. From the Eq.ย A.3, it can easily be shown that \(\frac {\partial \theta _{x}^{*}}{\partial (s/w)}>0\) and \(\frac {\partial \theta _{x}^{*}}{\partial \theta _{d}^{*}}>0\).

In the first step, I show that the free entry condition given by Eq.ย A.4 has a downward slope in the \((s/w, \theta _{d}^{*})\) space using the implicit function theorem: \(\frac {d(\frac {s}{w})}{d\theta _{d}^{*}}=-\frac {\partial FE(\frac {s}{w}, \theta _{d}^{*})/\partial \theta _{d}^{*}}{\partial FE(\frac {s}{w}, \theta _{d}^{*})/\partial (\frac {s}{w})} <0\). A tedious amount of manipulation gives

$$\begin{array}{@{}rcl@{}} &\frac{\partial FE(s/w, \theta_{d}^{*})}{\partial s/w}= [1-G(\theta_{d}^{*})]f (1-\sigma)[\tilde{\theta}_{d}(\theta_{d}^{*}) -\theta_{d}^{*}] \left( \frac{s}{w}\right)^{(\tilde{\theta}_{d}(\theta_{d}^{*}) -\theta_{d}^{*})(1-\sigma)-1} \left( \frac{\tilde{\theta}(\theta_{d}^{*})}{\theta_{d}^{*}}\right)^{\frac{\alpha(\sigma-1)}{\phi}} \\ &-g(\theta_{x}^{*})\frac{\partial \theta_{x}^{*}}{\partial (s/w)}f_{x}\left[\left( \frac{s}{w}\right)^{(\tilde{\theta}_{x}(\theta_{x}^{*})-\theta^{*}_{x})(1-\sigma)}\left( \frac{\tilde{\theta}_{x}(\theta_{x}^{*})}{\theta^{*}_{x}}\right)^{\frac{\alpha(\sigma-1)}{\phi}} -1\right] \\ &+\psi(\frac{s}{w}, \theta_{x}^{*}) \left\lbrace \tilde{\theta}_{x}^{\prime}(\theta_{x}^{*})\frac{\partial \theta_{x}^{*}}{\partial (s/w)}\left[ \frac{\alpha}{\tilde{\theta}_{x}(\theta_{x}^{*})}-\textnormal{ln}\left( \frac{s}{w}\right)\phi\right]- \right. \left. \frac{\partial \theta_{x}^{*}}{\partial (s/w)}\left[ \frac{\alpha}{\theta_{x}^{*}}-\textnormal{ln}\left( \frac{s}{w}\right)\phi\right]\right.\\&\left.-\left( \frac{s}{w} \right)(\tilde{\theta}_{x}(\theta_{x}^{*})-\theta_{x}^{*})\phi \right\rbrace<0, \end{array} $$

where \(\psi (s/w, \theta _{x}^{*})=[1-G(\theta _{x}^{*})]f_{x} \left (\frac {\sigma -1}{\phi } \right ) \left (\frac {s}{w}\right )^{(\tilde {\theta }_{x}(\theta _{x}^{*})-\theta ^{*}_{x})(1-\sigma )}\left (\frac {\tilde {\theta }_{x}(\theta _{x}^{*})}{\theta ^{*}_{x}}\right )^{\frac {\alpha (\sigma -1)}{\phi }}\) is positive. Note that ฯ• > 1, ฯƒ > 1, ฮฑ > 0, and \(\tilde {\theta }_{x}^{\prime }(\theta _{x}^{*})<0\). The inequality, \(\frac {\partial FE(s/w, \theta _{d}^{*})}{\partial (s/w)}<0\), holds, due to the assumption of \(\alpha >\textnormal {ln}(\frac {s}{w})\phi \).

$$\begin{array}{@{}rcl@{}} \frac{\partial FE(s/w, \theta_{d}^{*})}{\partial \theta_{d}^{*}}=&-g(\theta_{d}^{*})f \left[\left( \frac{s}{w}\right)^{(\tilde{\theta}_{d}(\theta_{d}^{*})-\theta^{*}_{d})(1-\sigma)}\left( \frac{\tilde{\theta}_{d}(\theta_{d}^{*})}{\theta^{*}_{d}}\right)^{\frac{\alpha(\sigma-1)}{\phi}}-1 \right]+ \\ & \upsilon(s/w, \theta_{d}^{*}) \left\lbrace \tilde{\theta}_{d}^{\prime}(\theta_{d}^{*})\left[ \frac{\alpha}{\tilde{\theta}_{d}} -\textnormal{ln}\left( \frac{s}{w} \right)\phi\right] -\left[\frac{\alpha}{\theta_{d}^{*}} -\textnormal{ln}\left( \frac{s}{w} \right)\phi\right] \right\rbrace \\ &-g(\theta_{x}^{*})\frac{\partial \theta_{x}^{*}}{\partial \theta_{d}^{*}} f_{x} \left[\left( \frac{s}{w}\right)^{(\tilde{\theta}_{x}(\theta_{x}^{*})-\theta^{*}_{x})(1-\sigma)}\left( \frac{\tilde{\theta}_{x}(\theta_{x}^{*})}{\theta^{*}_{x}}\right)^{\frac{\alpha(\sigma-1)}{\phi}}-1 \right]+ \\ &\psi(s/w, \theta_{x}^{*})\left\lbrace \tilde{\theta}_{x}^{\prime}(\theta_{x}^{*})\frac{\partial \theta_{x}^{*}}{\partial \theta_{d}^{*}} \left[ \frac{\alpha}{\tilde{\theta}_{x}} -\textnormal{ln}\left( \frac{s}{w} \right)\phi\right] -\frac{\partial \theta_{x}^{*}}{\partial \theta_{d}^{*}} \left[\frac{\alpha}{\tilde{\theta}_{x}} -\textnormal{ln}\left( \frac{s}{w} \right)\phi\right] \right\rbrace <0, \end{array} $$

where \(\upsilon (s/w, \theta _{d}^{*})\) and \(\psi (s/w, \theta _{x}^{*})\) are both positive.Footnote 31

Since \(\frac {\partial \theta _{x}^{*}}{\partial \theta _{d}^{*}}>0\) and \(\alpha >\textnormal {ln}\left (\frac {s}{w} \right )\phi \), \(\frac {\partial FE(s/w, \theta _{d}^{*})}{\partial \theta _{d}^{*}}<0\). By the implicit function theorem, the free entry condition implies a negative link between \(\theta _{d}^{*}\) and \(\frac {s}{w}\): \(\frac {d(\frac {s}{w})}{d\theta _{d}^{*}}=-\frac {\partial FE(\frac {s}{w}, \theta _{d}^{*})/\partial \theta _{d}^{*}}{\partial FE(\frac {s}{w}, \theta _{d}^{*})/\partial (\frac {s}{w})} <0\). In addition, applying the same logic in the proof of the proposition 1, the free entry condition (A.4) implies that as \(\theta _{d}^{*}\) goes to zero, the skill premium s/w has to increase as much as possible for F E(โˆ™) = 0. As \(\theta _{d}^{*}\) increases to one, on the other hand, s/w must decrease as quickly as possible for F E(โˆ™)=0 so that s/w goes to zero.

Second, to complete the proof, I need to show a positive relationship between \(\theta _{d}^{*}\) and s/w. Applying the same logic presented in the proof of proposition 1, the Eq.ย A.5 can be rewritten as:

$$\begin{array}{@{}rcl@{}} &&\left( \frac{w}{s}\right) \left[ {\int}_{\theta_{d}^{*}}^{1}\left( \frac{\theta}{1-\theta}\right) {\Psi}\left( \theta, \frac{s}{w}, \theta_{d}^{*}\right) g(\theta) d\theta+\tau^{-\sigma}{\int}_{\theta_{x}^{*}(\theta_{d}^{*})}^{1}\left( \frac{\theta}{1-\theta}\right) {\Psi}\left( \theta, \frac{s}{w}, \theta_{d}^{*}\right) g(\theta) d\theta \right]=\frac{H}{L}. \end{array} $$

Now it can be easily shown that the zero-profit skill intensity \(\theta _{d}^{*}\) is positively associated with the skill premium s/w on the \((\theta _{d}^{*}, s/w)\) space using the same logic as in the proof of proposition 1. Thus equilibrium exists and is unique in the costly trade between symmetric countries. โ–ช

1.3 Proof of Proposition 3

Now, I prove that the skill premium s/w increases as trade costs (i.e., ฯ„ and/or f x ) fall. To do this, I examine the shifts in each FE and LE curve in response to a reduction in trade costs. Without any loss of generality, I compare two curves in the autarky regime with ones in the costly trade condition. In this way, one can analyze the effect of lowering trade costs on the skill premium. First, I compare the free entry condition under autarky with the free entry condition with costly trade. Conveniently, I rewrite the free entry equation in costly trade, which is from Eq.ย 28.

$$\begin{array}{@{}rcl@{}} (1-G(\theta^{*}_{d}))f\left[\left( \frac{s}{w}\right)^{(\tilde{\theta}_{d}-\theta^{*}_{d})(1-\sigma)}\left( \frac{\tilde{\theta}_{d}}{\theta^{*}_{d}}\right)^{\frac{\alpha(\sigma-1)}{\phi}} -1\right]+~~~~~~~~~~~~~~~~~~~~~~~~~~\\(1-G(\theta^{*}_{x}))f_{x}\left[\left( \frac{s}{w}\right)^{(\tilde{\theta}_{x}-\theta^{*}_{x})(1-\sigma)}\left( \frac{\tilde{\theta}_{x}}{\theta^{*}_{x}}\right)^{\frac{\alpha(\sigma-1)}{\phi}} -1\right]=\delta f_{e}. \end{array} $$
(A.6)

Note that Eq.ย A.6 reduces to \((1-G(\theta ^{*}_{d}))f\left [\left (\frac {s}{w}\right )^{(\tilde {\theta }_{d}-\theta ^{*}_{d})(1-\sigma )}\left (\frac {\tilde {\theta }_{d}}{\theta ^{*}_{d}}\right )^{\frac {\alpha (\sigma -1)}{\phi }} -1\right ]=\delta f_{e}\), which is the first term on the left-hand side of Eq.ย A.6, in the closed economy. When trade costs are low enough for some firms to engage in exporting, the first term in the left-hand side of Eq.ย A.6 must be smaller than the one in autarky, because the second term in the left-hand side is positive and the right-hand side of Eq.ย A.6, ฮด f e , does not depend on trade costs. Notice that the first term in the left-hand side of Eq.ย A.6 will decrease as s/w increases, while \(\theta _{d}^{*}\) is fixed. Thus, the free entry curve (FE) will shift upward (that is, shifts to the right) as trade costs fall.

Second, the upward-sloping labor market curve (LE) also shifts upward (that is, shifts to the left) as a result of the reduction in trade costs. For convenience, I rewrite the labor market equilibrium condition under costly trade that is given in the proof of proposition 2:

$$ \left( \frac{w}{s}\right) \left[ {\int}_{\theta_{d}^{*}}^{1}\left( \frac{\theta}{1-\theta}\right) {\Psi}(\theta, \frac{s}{w}, \theta_{d}^{*}) g(\theta) d\theta +\tau^{-\sigma}{\int}_{\theta_{x}^{*}(\theta_{d}^{*})}^{1}\left( \frac{\theta}{1-\theta}\right) {\Psi}(\theta, \frac{s}{w}, \theta_{d}^{*}) g(\theta) d\theta \right]=\frac{H}{L}. $$
(A.7)

where \({\Psi }(\theta , \frac {s}{w}, \theta _{d}^{*})\) denotes the share of unskilled workers employed by firms with ๐œƒ out of the total endowment of unskilled labor. Now consider either the movement from autarky to costly trade or the reduction of trade costs under the condition of costly trade. Note that autarky regime reduces Eq.ย A.7 to \(\left (\frac {w}{s}\right ) \left [ {\int }_{\theta _{d}^{*}}^{1}\left (\frac {\theta }{1-\theta }\right ) {\Psi }(\theta , \frac {s}{w}, \theta _{d}^{*}) g(\theta ) d\theta \right ]=\frac {H}{L}\). Either the movement from autarky to the costly trade or the reduction of trade costs increases the second integral in the left-hand side of Eq.ย A.7. Thus \(\left (\frac {w}{s}\right ) \left [ {\int }_{\theta _{d}^{*}}^{1}\left (\frac {\theta }{1-\theta }\right ) {\Psi }(\theta , \frac {s}{w}, \theta _{d}^{*}) g(\theta ) d\theta \right ]\) must be decreased with lowering trade costs because the right hand side of Eq.ย A.7, H/L, is constant. Holding \(\theta _{d}^{*}\) fixed, the skill premium s/w must increase in order to keep the left hand side of Eq.ย A.7 constant because of the definition of \({\Psi }(\theta , \frac {s}{w}, \theta _{d}^{*})\): as the relative price of a skilled worker increases, \({\Psi }(\theta , \frac {s}{w}, \theta _{d}^{*})\) decreases. As a result, the LE curve also shifts up, as trade costs fall. Since both the FE and LE curves shift upward the relative wage of skilled labor s/w will be higher when trade costs fall.

Figureย 7 illustrates that the skill premium increases as trade costs fall. When trade costs decrease, both the free trade FE and the labor market curve, LE, shift upward, which results in increasing wage inequality, s/w. โ–ช

Fig.ย 7
figure 7

FE and LE curves in autarky and costly trade

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Whang, U. Skilled-Labor Intensity Differences Across Firms, Endogenous Product Quality, and Wage Inequality. Open Econ Rev 27, 251โ€“292 (2016). https://doi.org/10.1007/s11079-015-9370-z

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