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Market Entries and Exits and the Nonlinear Behaviour of the Exchange Rate Pass-Through into Import Prices

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Abstract

This paper develops an empirical framework giving rise to a nonlinear behaviour of the exchange rate pass-through (ERPT). Rather than shifts between low and high inflation, the nonlinearity arises when large swings in the exchange rate trigger market entries and exits of foreign firms. Switching regressions are used to distinguish between low and high pass-through regimes of the exchange rate into import prices. For the case of Switzerland, the corresponding results suggest that, though inflation has been low and stable, the ERPT still doubles in value in times of a rapid appreciation of the Swiss Franc.

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Notes

  1. According to Shephard’s Lemma, the Hicksian demand function equals \(h=\partial E_{t}/\partial p_{t}^{*}\) and the market share equals

    $$s_{t}^{*}=\frac{h_{t}^{*}p_{t}^{*}}{E_{t}}=\frac{\partial E_{t}}{\partial p_{t}^{*}} \frac{p_{t}^{*}}{E_{t}}=\frac{\partial \ln E_{t}}{\partial \ln p_{t}^{*}}. $$
  2. For example, this might be because profits or not disclosed by all foreign firms. Even if all profits were disclosed, they might reflect an accounting value rather than the true economic conditions. Well-known distortions that may arise with accounting data are due to tax planning when firms operate in several countries or the creation of undisclosed reserves.

  3. For a textbook discussion on regime switching regressions see Hamilton (1994, ch.22). Without looking at the role of different forms of import competition, (Hernandez and Leblebicioğlu 2012) employ a Markov switching regression to capture the nonlinear reactions in the ERPT for cars imported into the US market.

  4. Estimation of the results occurred with Eviews. Chapter 13 of the Eviews manual provides a discussion on switching regressions and the algorithm employed for their estimation. The recursive estimation of the unobserved regime switching regression necessitates the definition of initial probabilities at t=0. Within the present context, these are given by the steady state values implied by the probability transition matrix.

  5. Conventional tests such as the Augmented Dickey Fuller (ADF) or the Phillips Perron tests on \(\ln p_{t}^{*}, \ln e_{t}\), and \(\ln p_{t}\) did confirm this finding for the current sample.

  6. Multivariate time series models yield similar results. In particular, a vector-error-correction-model (VECM) for \(\ln p_{t}^{*}, \ln e_{t}, \ln p_{t}\) and ω t with lag length 1 (which has been chosen by minimising the SIC) did also provide statistical evidence for cointegration.

  7. The first order Taylor approximation of \(\ln (x)\) equals x−1 for 0<x<2. This condition is likely to be satisfied for \(\ln [\frac {1}{(1-\nu {\Gamma })\gamma ^{*}}\omega _{t}-\frac {1}{1-\nu {\Gamma }}\ln p_{t}^{*}+\frac {\Gamma }{1-\nu {\Gamma }}\ln p_{t}]\) since Bergin and Feenstra (2000, p.668) use a parametrisation where γ is 2 whilst, even in small open economies, the share of imports ω t are much lower than 1 and prices \(p_{t}^{*}\) and p t are unlikely to deviate substantially from each other.

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Acknowledgments

I would like to thank two thoughtful reviewers as well as the participants at 2014 Annual conference of the Swiss Society of Economics and Statistics for providing comments that helped to improve quality of the paper. The usual disclaimer applies.

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Correspondence to Nils Herger.

Appendices

Appendix A: Derivations

1.1 A.1 Derivation of the Optimal Pricing Rule

Multiplying (2) with \(E_{t}/p^{*}_{t}\) and rearranging yields \(\pi _{t}^{*}E_{t}/(p_{t}^{*})=[1-1/p_{t}^{*}e_{t}]E_{t}\). Since quantities are normalised to 1, we have from footnote 1 that \(E_{t}/(p_{t}^{*})= 1/s_{t}^{*}\) wherefore profits expressed in market share form are given by

$$\pi_{t}^{*}=\left[1-\frac{1}{e_{t}p_{t}^{*}}\right]s_{t}^{*} (p_{t}^{*}, p_{t})E_{t}. $$

Differentiating this with respect to import prices yields

$$ \frac{\partial \pi_{t}^{*}}{\partial p_{t}^{*}}= \frac{1}{e_{t}(p_{t}^{*})^{2}}s_{t}^{*}E_{t}+\left(1-\frac{1}{e_{t}p_{t}^{*}}\right) \left[\frac{\partial s_{t}^{*}}{\partial p_{t}^{*}}+\frac{\partial s_{t}^{*}}{\partial p_{t}}\frac{\partial p_{t}}{\partial p_{t}^{*}}\right]E_{t}=0. $$

Since (1) defines the import share \(s_{t}^{*}\), we have that

$$\left(1-\frac{1}{e_{t}p_{t}^{*}}\right) \left[-\frac{\gamma^{*}}{p_{t}^{*}}+\frac{\gamma^{*}{\Gamma}}{p_{t}}\frac{\partial p_{t}}{\partial p_{t}^{*}}\right]= -\frac{1}{e_{t}(p_{t}^{*})^{2}}s_{t}^{*}. $$

Multiplying this with \((p_{t}^{*})^{2}\) yields

$$(p_{t}^{*}-1/e_{t}) [-\gamma^{*}+ \gamma^{*}\nu{\Gamma}]= -s_{t}^{*}/e_{t} $$

where \(\nu = \frac {\partial p_{t}}{\partial p_{t}^{*}}\frac {p_{t}^{*}}{p_{t}}\) is the conjectural elasticity. Solving for the import price yields

$$ p_{t}^{*}= \left[1 + \frac{s_{t}^{*}}{(1-\nu{\Gamma})\gamma^{*}}\right]\frac{1}{e_{t}}. $$

1.2 A.2 Derivation of the Profit Function

Inserting (1) into \(\widetilde {\pi }_{t}=(s^{*}_{t}/(\gamma ^{*}(1-\nu {\Gamma }))(1/e_{t})\) yields

$$\widetilde{\pi}_{t}^{*}=\left[\frac{1}{(1-\nu{\Gamma})\gamma^{*}}\omega_{t}-\frac{1}{1-\nu{\Gamma}}\ln p_{t}^{*}+\frac{\Gamma}{1-\nu{\Gamma}}\ln p_{t}\right](1/e_{t}). $$

Taking logarithms and using the first order Taylor approximationFootnote 7 yields

$$\ln \widetilde{\pi}_{t}^{*} \approx \frac{1}{(1-\nu{\Gamma})\gamma^{*}}\omega_{t}-1-\frac{1}{1-\nu{\Gamma}}\ln p_{t}^{*}+\frac{\Gamma}{1-\nu{\Gamma}} - \ln e_{t}. $$

1.3 A.3 Derivation of High Pass-Through Regime

Inserting \(\omega _{t} = \gamma ^{*} \ln p_{t}^{*} - \gamma ^{*}{\Gamma }\ln p_{t} + (1-\nu {\Gamma })\gamma ^{*}\ln e_{t}+c\) of the first line of Eq. (6) into (4) yields

$$\begin{array}{@{}rcl@{}} \ln p_{t}^{*} &\approx& \frac{\Gamma}{(2-{\Gamma}\nu)} \ln p_{t} - \frac{1-\nu{\Gamma}}{2-\nu{\Gamma}}\ln e_{t} -\frac{1}{1-{\Gamma}\nu}\\ \ln p_{t}^{*}&+&\frac{\Gamma}{2-\nu{\Gamma}}\ln p_{t}-\frac{1-\nu{\Gamma}}{(2-\nu{\Gamma})}\ln e_{t} +constant \end{array} $$

Ignoring the constant and solving this for \(\ln _{t}p_{t}^{*}\) yields.

$${\Delta} p_{t}^{*} \approx \left[(2{\Gamma})/(3-\nu{\Gamma})\right] \ln p_{t} - \left[(2-2\nu{\Gamma})/(3-\nu{\Gamma})\right]\ln e_{t} $$

B Data Appendix

Table 5 Description of the data set

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Herger, N. Market Entries and Exits and the Nonlinear Behaviour of the Exchange Rate Pass-Through into Import Prices. Open Econ Rev 26, 313–332 (2015). https://doi.org/10.1007/s11079-014-9331-y

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