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The Impact of Real Exchange Rate Movements on Service Sector Firms Jen Baggs School of Business, University of Victoria Eugene Beaulieu Department of Economics, University of Calgary Loretta Fung Department of Economics, University of Alberta

The Impact of Real Exchange Rate Movements on Service Sector Firms

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The Impact of Real Exchange Rate Movements on Service Sector Firms. Jen Baggs School of Business, University of Victoria Eugene Beaulieu Department of Economics, University of Calgary Loretta Fung Department of Economics, University of Alberta. Motivation. Important Question: - PowerPoint PPT Presentation

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Page 1: The Impact of Real Exchange Rate Movements on Service Sector Firms

The Impact of Real Exchange Rate Movements on Service Sector Firms

Jen BaggsSchool of Business, University of Victoria

Eugene BeaulieuDepartment of Economics, University of Calgary

Loretta FungDepartment of Economics, University of Alberta

Page 2: The Impact of Real Exchange Rate Movements on Service Sector Firms

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Motivation

Important Question:

How do large real exchange rate movements affect service sector firms?

Services are becoming increasingly tradable and exchange rate has been identified as a key factor that affects service trade (Deardorff et al, 2001). For services that are exposed to trade, exchange rate

movements can influence the degree of competition and firm behavior.

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Motivation (cont.)

This paper builds on two groups of literature: Exchange rate effect on volume of service trade:

Deardorff et al, 2001, Hung and Viana, 1995, and Freund and Weinhold, 2002

Impact of international competition on Canadian manufacturing firms, particularly, the effect of trade liberalization and exchange rate movements

Trefler (2004), Baldwin and Gu (2003, 2004), Baggs (2005), Baggs and Brander (2006), LaRochelle-Côté (2007), Baggs et al (2008).

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Motivation (cont.)

Empirical Analysis: Between 1986 and 1997, the Canadian

economy experienced a large currency appreciation followed by a large depreciation.

Examine the exchange rate effects on firm profits, survival, sales and leverage using micro data.

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Hypotheses:

Derived from a combination of Fung’s (2008) and Melitz and Ottaviano’s (forthcoming) model:

Appreciations of home currency reduce firm profit. Appreciations of home currency reduce firm probability of

survival and this effect is less pronounced for more productive firms.

When the exit rate is low, appreciations of home currency cause a reduction in total sales.

Appreciations lower profits and induce firms to allow debt and leverage to rise. Home currency depreciations have opposite effects.

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Exchange Rate Measure Industry-specific trade-weighted real exchange rate:

Weighted average of normalized real exchange rate of Canada’s top 10 trade partners.

80

90

100

110

120

TW

RE

R

84 85 86 87 88 89 90 91 92 93 94 95 96 97

1984 = 100Figure 1: Trade Weighted Real Exchange Rate, 1984-1997

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Longitudinal Micro-data: T2-LEAP

From “T2” tax forms, and the Longitudinal Employment Analysis Project (LEAP)

Every incorporated Canadian establishment that legally hires employees AND files a “T2” from 1984 to 1998 (we use 1986 to 1997).

Annual data on the firm’s employment level, profit, revenues, debt, equity, assets, location, and industry affiliation at the 3-digit SIC level.

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T2-LEAP (Cont.)

Focus on service industries that are exposed to international trade: Construction Communication Finance and insurance Business services Other services (e.g. films and organized sports)

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T2-LEAP (Cont.) This data set is ideal for identifying entry/exit because it

consists of the universe of Canadian firms.

Constructing panels of survivors and exiters:Baggs’ (2005) criteria: Initial population of firms are those that existed in 1986. Augmented each year by removing exiting firms and

adding new firms. A firm is removed from the sample in the year in which the firm

files its last tax return or if it is the last year that the firm hires employees.

A firm enters our sample in the first year it both hires employees and files a tax return.

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Table 1 – Descriptive Statistics

All Firms Survivors Exits

Survivors andExits

Significantlydifferent at the

5% level?

Number of Observations 1203212 1158022 45190

Mean TWR exchange rate 94.54 94.55 94.50 No

Mean Enterprise Age (truncated at 14) 6.45 6.45 6.35 Yes

Mean Number of Employees 18.54 18.89 9.50 Yes

Mean Assets $11785 $12111 $3418 Yes

Mean Sales per Worker $119000 $119000 $120000 No

Mean Leverage 0.805 0.768 1.756 Yes

Mean Annual Industry Sales Growth 4.38% 4.38% 4.25% Yes

Mean four firm concentration ratio 0.195 0.195 0.213 Yes

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Empirical Evidence: Firm Profits Firm Profits

f: firm; i: industry. lnprofit is set to 0 when profit is negative or 0. ERit: industry-specific trade-weighted real exchange rate. xft-1: age, size category and labour productivity. yit-1: industry concentration (CR4), industry sales growth, real interest

rate and GDP growth rate. Also include time trend (τt) and industry fixed effects (at the 2-digit SIC

level). Interaction:

lnERit*lnproductivityft-1

Model: OLS and Tobit. Tobit: deal with data truncation.

)1(,lnln 1121 fttitftitft yxERprofit

Page 12: The Impact of Real Exchange Rate Movements on Service Sector Firms

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Table 2 – Firm Profit Dependent Variable: lnprofit

1 2 3 Trade Weighted Exchange Rate (increase=appreciation of C$), level: year t

-1.405** (0.037)

-3.562** (0.102)

-1.590** (0.412)

Exchange Rate*Productivity =Trade Weighted ER*Labour productivity

-0.448** (0.090)

Labour Productivity =ln(salest-1/alut-1)

0.625** (0.004)

1.676** (0.012)

3.711** (0.405)

Firm Size = 1 if alut-1 ≤ 10; =2 if 10 < alut-1 ≤ 50; = 3 if 50 < alut-1 ≤ 100; = 4 if alut-1 > 100

0.807** (0.011)

1.460** (0.020)

1.460** (0.020)

Age = ln(age in years)

0.131** (0.005)

0.345** (0.013)

0.345** (0.013)

Industry Sales Growth % growth in sales from yr t-1 to yr t, 3-digit sic

0.259** (0.011)

0.562** (0.031)

0.560** (0.031)

Industrial Concentration 3-digit CR4 (year t-1)

1.224** (0.045)

3.353** (0.125)

3.364** (0.125)

GDP growth rate =Canadian GDP growth (year t-1)

3.205** (0.098)

5.419** (0.257)

5.399** (0.256)

Real Interest Rate =Canadian prime rate in year t

-0.007** (0.002)

-0.002 (0.004)

-0.002 (0.004)

Time Trend =1 if year=86, =12 if year=97 YES YES YES

Industry Fixed Effects two-digit SIC dummy variables YES YES YES

R2/Log Likelihood 0.275 -1723983 -1723951

Observations 1247349 1315231 1315231

Estimation Method OLS Tobit Tobit

**= significant at 1%, * = significant at 5%, ^ = significant at 10%. Robust standard errors (corrected for clustering at the firm level) are in parentheses.

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Empirical Evidence: Firm Survival Firm’s probability of survival:

surviveft = 1 if firm f survived in year t; =0 otherwise. Model: probit

)2(),ln()( 1121 titftitft yxERsurviveP

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Table 3 – Firm Survival Dependent Variable: =1 if firm survives to end of year t, 0 otherwise, Estimation Method: Probit

1 2 3 4 ∆Trade Weighted Exchange Rate (increase=appreciation of C$), year t-year t-1

-0.446** (0.055)

-1.636** (0.200)

Trade Weighted Exchange Rate (increase=appreciation of C$), level: year t

-0.247** (0.033)

-0.375** (0.096)

∆Exchange Rate*Productivity =∆Trade Weighted ER*Labour productivity

0.289** (0.047)

Exchange Rate*Productivity =Trade Weighted ER*Labour productivity

0.031 (0.022)

Labour Productivity =ln(salest-1/alut-1)

0.092** (0.002)

0.093** (0.002)

-0.049 (0.100)

0.096** (0.002)

Leverage =ln(leverage t-1)

-0.132** (0.003)

-0.132** (0.003)

-0.132** (0.003)

-0.132** (0.003)

Firm Size = 1 if alut-1 ≤ 10, =2; if 10 < alu t-1 ≤ 50; = 3 if 50 < alut-1 ≤ 100; = 4 if alu t-1 > 100

0.144** (0.004)

0.144** (0.004)

0.144** (0.004)

0.144** (0.004)

Age =ln(age in years)

-0.035** (0.003)

-0.035** (0.003)

-0.035** (0.003)

-0.035** (0.003)

Industry Sales Growth % growth in sales from yr t-1 to yr t, 3-digit sic

0.016 (0.012)

0.022^ (0.012)

0.016 (0.012)

0.023* (0.012)

Industrial Concentration 3-digit CR4 (year t-1)

-0.306** (0.021)

-0.294** (0.020)

-0.307** (0.021)

-0.296** (0.020)

GDP growth rate =Canadian GDP growth (year t-1)

-0.250* (0.143)

0.324** (0.114)

-0.246* (0.122)

0.346** (0.114)

Real Interest Rate =Canadian prime rate in year t

-0.002 (0.002)

-0.015** (0.003)

-0.002 (0.002)

-0.015** (0.003)

Time Trend =1 if year=86, =12 if year=97 YES YES YES YES

Industry Fixed Effects two-digit SIC dummy variables YES YES YES YES

Log Likelihood -270899 -270894 -270898 -270871

Observations 1315231 1315231 1315231 1315231

**= significant at 1%, * = significant at 5%, ^ = significant at 10%. Robust standard errors (corrected for clustering at the firm level) are in parentheses.

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Empirical Evidence: Firm Sales Firm Sales

Model: OLS.

)3(,lnln 1121 fttitftitft yxERsales

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Table 4 – Firm Sales

lnsales ∆lnsales 1 2

∆Trade Weighted Exchange Rate (increase=appreciation of C$), year t-year t-1

-0.257** (0.015)

Trade Weighted Exchange Rate (increase=appreciation of C$), level: year t

-0.052** (0.020)

Leverage =ln(leverage t-1)

0.085** (0.002)

0.030** (0.001)

Firm Size = 1 if alut-1 ≤ 10, =2; if 10 < alu t-1 ≤ 50; = 3 if 50 < alut-1 ≤ 100; = 4 if alu t-1 > 100

1.568** (0.005)

0.000 (0.001)

Age =ln(age in years)

0.058** (0.003)

-0.093** (0.001)

Industry Sales Growth % growth in sales from yr t-1 to yr t, 3-digit sic

0.107** (0.006)

0.128** (0.004)

Industrial Concentration 3-digit CR4 (year t-1)

0.378** (0.021)

0.093** (0.006)

GDP growth rate =Canadian GDP growth (year t-1)

3.201** (0.054)

1.720** (0.032)

Real Interest Rate =Canadian prime rate in year t

-0.021** (0.001)

-0.012** (0.001)

Time Trend =1 if year=86, =12 if year=97 YES YES

Industry Fixed Effects two-digit SIC dummy variables YES YES

R2 0.439 0.022

Observations 1239294 1239294

Estimation Method OLS OLS **= significant at 1%, * = significant at 5%, ^ = significant at 10%. Robust standard errors (corrected for clustering at the firm level) are in parentheses.

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Empirical Evidence: Leverage

Firm Leverage

Prediction: Appreciations lower profits and induce firms to allow debt and leverage to rise.

Models: OLS and 2SLS OLS: reduced form. 2SLS:

1. Profit is instrumented by exchange rate and industry sales growth.

2. Regress leverage on predicted profit and other independent variables.

)4.(ln 1121 fttitftitft yxERleverage

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Table 5 – Firm Leverage Dependent Variable: leverage

1 2 Profit = ln(profit)

0.093** (0.029)

Trade Weighted Exchange Rate (increase=appreciation of C$), level: year t

-0.141** (0.051)

Labour Productivity =ln(salest-1/alut-1)

-0.090** (0.015)

-0.148** (0.022)

Firm Size = 1 if alut-1 ≤ 10; =2, if 10 < alut-1 ≤ 50; = 3 if 50 < alut-1 ≤ 100; = 4 if alu t-1 > 100

-0.030** (0.007)

-0.105** (0.024)

Age = ln(age in years)

-0.076** (0.007)

-0.088** (0.007)

Industry Sales Growth % growth in sales from yr t-1 to yr t, 3-digit sic

0.019 (0.015)

Industrial Concentration 3-digit CR4 (year t-1)

0.124** (0.044)

0.013 (0.055)

GDP growth rate =Canadian GDP growth (year t-1)

-0.510 (0.313)

-0.795* (0.347)

Real Interest Rate =Canadian prime rate in year t

0.001 (0.003)

0.002 (0.003)

Time Trend =1 if year=86, =12 if year=97 YES YES

Industry Fixed Effects two-digit SIC dummy variables YES YES

R2 0.001 --

Observations 1243382 1243382

Estimation Method OLS 2SLS

**= significant at 1%, * = significant at 5%, ^ = significant at 10%. Robust standard errors (corrected for clustering at the firm level) are in parentheses.

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Conclusions

Significant exchange rate effects: Real appreciations of home currency reduce firm

probability of survival and this effect is less pronounced for more productive firms.

Real appreciations reduce firm profits, sales and leverage.

The leverage reduction induced by currency appreciation may result from reduced profit.

Overall, the direction of exchange rate effects are the same as the empirical findings for Canadian manufacturing firms.

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Conclusions (cont.)

To our knowledge, this is among the first empirical research on the exchange rate effects on service sector firms. Further investigation

into their behavior is much needed.