The Economic Consequences of Dollar Appreciation for US Manufacturing Investment: A Time-Series Analysis

Similar documents
CHAPTER V RELATION BETWEEN FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH DURING PRE AND POST LIBERALISATION PERIOD

Brief Sketch of Solutions: Tutorial 1. 2) descriptive statistics and correlogram. Series: LGCSI Sample 12/31/ /11/2009 Observations 2596

Regional Business Cycles In the United States

Assist. Prof. Dr. Nuray İslatince 1

Case Study: Predicting U.S. Saving Behavior after the 2008 Financial Crisis (proposed solution)

ANALYSIS OF CORRELATION BETWEEN THE EXPENSES OF SOCIAL PROTECTION AND THE ANTICIPATED OLD AGE PENSION

TESTING THE HYPOTHESIS OF AN EFFICIENT MARKET IN TERMS OF INFORMATION THE CASE OF THE CAPITAL MARKET IN ROMANIA DURING RECESSION

Chapter 4 Level of Volatility in the Indian Stock Market

LAMPIRAN. Lampiran I

THE IMPACT OF FINANCIAL CRISIS IN 2008 TO GLOBAL FINANCIAL MARKET: EMPIRICAL RESULT FROM ASIAN

SUSTAINABILITY PLANNING POLICY COLLECTING THE REVENUES OF THE TAX ADMINISTRATION

Volume 29, Issue 2. Measuring the external risk in the United Kingdom. Estela Sáenz University of Zaragoza

Demand For Life Insurance Products In The Upper East Region Of Ghana

Kabupaten Langkat Suku Bunga Kredit. PDRB harga berlaku

THE EFFECTIVENESS OF EXCHANGE RATE CHANNEL OF MONETARY POLICY TRANSMISSION MECHANISM IN SRI LANKA

Indo-US Bilateral FDI and Current Account Balance: Developing Causal Relationship

Government Tax Revenue, Expenditure, and Debt in Sri Lanka : A Vector Autoregressive Model Analysis

LAMPIRAN. Tahun Bulan NPF (Milyar Rupiah)

GDP, PERSONAL INCOME AND GROWTH

Linkage between Gold and Crude Oil Spot Markets in India-A Cointegration and Causality Analysis

DETERMINANTS OF HERDING BEHAVIOR IN MALAYSIAN STOCK MARKET Abdollah Ah Mand 1, Hawati Janor 1, Ruzita Abdul Rahim 1, Tamat Sarmidi 1

An Analysis of Stock Returns and Exchange Rates: Evidence from IT Industry in India

RE-EXAMINE THE INTER-LINKAGE BETWEEN ECONOMIC GROWTH AND INFLATION:EVIDENCE FROM INDIA

Econometric Models for the Analysis of Financial Portfolios

Inflation and inflation uncertainty in Argentina,

The effect of Money Supply and Inflation rate on the Performance of National Stock Exchange

Discussion Paper Series No.196. An Empirical Test of the Efficiency Hypothesis on the Renminbi NDF in Hong Kong Market.

Association between Crude Price and Stock Indices: Empirical Evidence from Bombay Stock Exchange

IMPACT OF MACROECONOMIC VARIABLE ON STOCK MARKET RETURN AND ITS VOLATILITY

Foreign and Public Investment and Economic Growth: The Case of Romania

Anexos. Pruebas de estacionariedad. Null Hypothesis: TES has a unit root Exogenous: Constant Lag Length: 0 (Automatic - based on SIC, maxlag=9)

Prerequisites for modeling price and return data series for the Bucharest Stock Exchange

A case study of Cointegration relationship between Tax Revenue and Foreign Direct Investment: Evidence from Sri Lanka

SOCIAL EXPENDITURE AND ECONOMIC GROWTH: EVIDENCE FROM AUSTRALIA AND NEW ZEALAND USING COINTEGRATION AND CAUSALITY TESTS

Kerkar Puja Paresh Dr. P. Sriram

VOLATILITY OF SELECT SECTORAL INDICES OF INDIAN STOCK MARKET: A STUDY

Market Integration, Price Discovery, and Volatility in Agricultural Commodity Futures P.Ramasundaram* and Sendhil R**

INTERDEPENDENCE OF THE BANKING SECTOR AND THE REAL SECTOR: EVIDENCE FROM OECD COUNTRIES

DU Journal of Undergraduate Research and Innovation Volume 4, Issue 1, pp ABSTRACT

An Examination of Seasonality in Indian Stock Markets With Reference to NSE

Interactions between United States (VIX) and United Kingdom (VFTSE) Market Volatility: A Time Series Study

Conditional Heteroscedasticity and Testing of the Granger Causality: Case of Slovakia. Michaela Chocholatá

NONLINEAR RELATIONSHIPS BETWEEN OIL PRICE AND STOCK INDEX EVIDENCE FROM BRAZIL, RUSSIA, INDIA

Uncertainty and the Transmission of Fiscal Policy

The Frequency of Wars*

A Study on Impact of WPI, IIP and M3 on the Performance of Selected Sectoral Indices of BSE

On the size of fiscal multipliers: A counterfactual analysis

Is the Taylor Rule a Good Approximation of the Norwegian Monetary Policy?

The Effect of Technological Progress on Economic Growth

TAX SMOOTHING HYPOTHESIS: A CASE OF PAKISTAN

ECONOMETRIC ANALYSIS OF VALUE ADDED TAX WITH COLOMBO CONSUMER PRICE INDEX IN SRI LANKA. ^UVERSITY OF MORATUWA. SRI IAAIK CflQRATUWA. P.T.

Gloria Gonzalez-Rivera Forecasting For Economics and Business Solutions Manual

Examination on the Relationship between OVX and Crude Oil Price with Kalman Filter

MONEY, PRICES, INCOME AND CAUSALITY: A CASE STUDY OF PAKISTAN

Factors Affecting the Movement of Stock Market: Evidence from India

Exchange Rate Market Efficiency: Across and Within Countries

Lampiran 1. Data Penelitian

Evolving Equity Market Interdependencies: Evidence from Emerging Markets

Chapter- 7. Relation Between Volume, Open Interest and Volatility

CHAPTER 5 MARKET LEVEL INDUSTRY LEVEL AND FIRM LEVEL VOLATILITY

AN EMPIRICAL ANALYSIS OF THE PUBLIC DEBT RELEVANCE TO THE ECONOMIC GROWTH OF THE USA

Correlations between stock market development and economic growth

Relationship between Inflation and Stock Returns Evidence from BRICS markets using Panel Co integration Test

A SEARCH FOR A STABLE LONG RUN MONEY DEMAND FUNCTION FOR THE US

The Influence of Leverage and Profitability on Earnings Quality: Jordanian Case

Estimating Egypt s Potential Output: A Production Function Approach

Do Investors Sentiment Dynamics affect Stock Returns? Evidence from the US Economy

Testing the Stability of Demand for Money in Tonga

THE FISCAL REVENUES AND PUBLIC EXPENDITURES: IS THEIR EVOLUTION SUSTENABLE? THE ROMANIAN CASE. Bogdan Dima 1 Oana Lobonţ 2 Cristina Nicolescu 3

Long Run Association and Causality between Macroeconomic Indicators and Banking Sector in Pakistan

The Effects of Oil Price Volatility on Some Macroeconomic Variables in Nigeria: Application of Garch and Var Models

The Relative Effectiveness of Monetary and Fiscal Policies on Economic Growth in Bangladesh

Asian Economic and Financial Review SOURCES OF EXCHANGE RATE FLUCTUATION IN VIETNAM: AN APPLICATION OF THE SVAR MODEL

Efficiency in the Australian Stock Market, : A Note on Extreme Long-Run Random Walk Behaviour

Appendixes Appendix 1 Data of Dependent Variables and Independent Variables Period

Impact of FDI on Economic Development: A Causality Analysis for Singapore,

Personal income, stock market, and investor psychology

Are Bitcoin Prices Rational Bubbles *

The Dynamics between Government Debt and Economic Growth in South Asia: A Time Series Approach

US HFCS Price Forecasting Using Seasonal ARIMA Model

Yafu Zhao Department of Economics East Carolina University M.S. Research Paper. Abstract

A Study of Stock Return Distributions of Leading Indian Bank s

Trading Volume and Fama-French Three Factor Model on Excess Return. Empirical Evidence from Nairobi Security Exchange

An Empirical Research on Chinese Stock Market Volatility Based. on Garch

LAMPIRAN. Null Hypothesis: LO has a unit root Exogenous: Constant Lag Length: 1 (Automatic based on SIC, MAXLAG=13)

Composition of Foreign Capital Inflows and Growth in India: An Empirical Analysis.

Empirical Analysis of Private Investments: The Case of Pakistan

Thi-Thanh Phan, Int. Eco. Res, 2016, v7i6, 39 48

Are saving and investment cointegrated? The case of Malaysia ( )

Global Volatility and Forex Returns in East Asia

The Influence of Monetary Policy on Equity and Volatility Indices in the U.S. and Canada

Implied Volatility v/s Realized Volatility: A Forecasting Dimension

Volume 31, Issue 2. The profitability of technical analysis in the Taiwan-U.S. forward foreign exchange market

INVESTIGATION OF THE RELATIONSHIP BETWEEN CURRENT ACCOUNT DEFICIT AND SAVINGS IN MENA ECONOMIES: AN EMPIRICAL APPROACH

The Impact of Currency Fluctuations on Palm Oil Exports

EURASIAN JOURNAL OF ECONOMICS AND FINANCE

Long Run Money Neutrality: The Case of Guatemala

POLYTECHNIC OF NAMIBIA SCHOOL OF MANAGEMENT SCIENCES DEPARTMENT OF ACCOUNTING, ECONOMICS AND FINANCE ECONOMETRICS. Mr.

THE IMPACT OF IMPORT ON INFLATION IN NAMIBIA

Assessing the Level of Efficiency of The Stock Exchange of Mauritius

Transcription:

The Economic Consequences of Dollar Appreciation for US Manufacturing Investment: A Time-Series Analysis Robert A. Blecker Unpublished Appendix to Paper Forthcoming in the International Review of Applied Economics Descriptive Statistics, Correlations, Granger-Causality, and Unit Roots Revised, August 2006 Descriptive Statistics, Correlation Matrix, and Granger-Causality Tests Table A.1 gives the descriptive statistics for the variables in the data set, along with definitions and sources. 1 Simple correlation coefficients for this data set are shown in Table A.2. The investment rate is negatively correlated with the user cost of capital, 2 but otherwise does not have strong contemporaneous correlations (there is only a weak negative correlation with the real dollar index). The net profit rate is positively correlated with the cash flow ratio and the GDP growth rate, and negatively correlated with the real dollar index and real Aaa interest rate. The cash flow ratio is positively correlated with the user cost of capital as well as the net profit rate. The real dollar index and real Aaa interest rate are positively correlated with each other. Table A.3 shows Granger-causality tests for statistical relationships between each variable and the lags of the other variables, after controlling for its own lags. These tests were conducted using only two annual lags due to the short sample period. The investment rate is 1 See the appendix included at the end of the text for more details on variable definitions and sources. The statistics given in Table A.1 are for the whole sample period, 1973-2004, but means for the sample period used in the regressions (1974-2004) were used in calculating the exchange rate elasticities in section 5 of the paper. 2 The user cost of capital is measured in levels in all tables in this unpublished appendix. However, this variable was always expressed as a percentage rate of change in the regressions reported in the text. 1

Granger-caused (at least at the 10% significance level) by the net profit rate, GDP growth rate, and user cost of capital, but not by the cash flow ratio, real dollar index, or real Aaa interest rate. 3 The net profit rate is Granger-caused (at the 10% level) only by the real dollar index, while the cash flow ratio is Granger-caused by the net profit rate and GDP growth rate. Also, the real Aaa interest rate is Granger-caused (at least at the 5% level) by the cash flow ratio and GDP growth rate. 4 The user cost of capital is Granger-caused by the net profit rate at the 10% level and by the real Aaa interest rate at the 1% level (although it should be recalled from equation (4) in the text that the contemporaneous real Aaa interest rate is part of the user cost by definition). Importantly, the null hypothesis of no Granger causality is always accepted for two key variables that we wish to treat as exogenous: the GDP growth rate and real dollar index are not significantly Granger-caused by any variables in the data set. Unit Root Tests Results of conventional augmented Dickey-Fuller (ADF) tests are shown in Table A.4. Lag length was selected by the Akaike and Schwartz Information Criteria (AIC and SIC, respectively). Each variable was tested first using only an intercept, and was retested with a trend and intercept only if it was found to have a unit root without a trend. Variables which had a unit root with a trend and intercept were also tested in first differences (except for user cost of capital, which was tested in percentage changes for consistency with how it is expressed in the 3 Note that the real interest rate is measured here in levels, while in the regressions reported in the text it is measured in first differences. 4 This could be caused by upward pressure of greater corporate borrowing on long-term corporate bond rates during boom periods, or by endogenous policy responses of the Fed (raising interest rates during a cyclical upswing), or possibly by inflationary consequences of higher growth and investment (which could reduce the real interest rate if the nominal interest rate does not adjust). 2

investment function). The null hypothesis in the ADF test is a unit root, i.e. integrated of order one or I(1). The ADF test is known to have low power to reject the null hypothesis of a unit root in relatively short time series, such as those used here (32 years of annual data). Therefore, we also used the alternative test due to Kwiatkowski et al. (1992), in which the null hypothesis is that the variable is stationary or I(0). The results of these tests (shown in Table A.5) show that the null hypothesis of stationarity is accepted at the 1% and 5% significance levels for all variables used in the regressions (including the percentage change in user cost, although not user cost in levels), although results at the 10% significance level vary for some series depending on whether a trend is included and whether the variables are expressed in levels or differences. 3

Table A.1. Detailed variable definitions and descriptive statistics Variable Definition Units Source(s) Investment rate Gross investment as a percentage of the net capital stock at end of previous year a Percent BEA Net profit rate Net corporate profits as a percentage of net capital stock at end of previous year b Percent BEA Cash flow ratio Corporate cash flow as a percentage of net capital stock at end of previous year b,c Percent BEA GDP growth rate Growth rate of real gross domestic product in chained 2000 dollars Percent BEA Real dollar index Broad, trade weighted index of the real value of the dollar d March 1973 = 100 FRB Real Aaa interest rate Real Moody's Aaa corporate bond interest rate e Percent FRB and BEA User cost of capital See equation (4) in text for definition. Percent BEA, FRB, ERP, and author's calculations Descriptive Statistics (sample period 1973-2004, 32 observations) Investment rate Net profit rate Cash flow ratio GDP growth rate Real dollar index Real Aaa interest rate User cost of capital Mean 9.133623 10.89318 16.46032 3.08125 97.82802 4.707187 16.68114 Median 8.842798 10.51915 16.33729 3.5 94.89875 5.42 16.35256 Maximum 12.13372 18.08795 22.17846 7.2 122.0475 8.91 22.51633 Minimum 6.588945 3.084476 11.20308-1.9 86.565-0.67 12.478 Std. Dev. 1.477959 3.942217 2.661196 2.050718 9.368224 2.381049 2.496182 Skewness 0.656756 0.098161-0.050602-0.598515 0.844619-0.513238 0.288537 Kurtosis 2.579703 2.550951 2.483479 2.998881 2.881213 2.795043 2.421724 Jarque-Bera 2.535949 0.32025 0.369381 1.910507 3.823518 1.460879 0.88989 Probability 0.281401 0.852037 0.831361 0.384715 0.14782 0.481697 0.640859 Sum 292.2759 348.5816 526.7302 98.6 3130.497 150.63 533.7965 Sum Sq. Dev. 67.71527 481.7734 219.5409 130.3688 2720.672 175.7512 193.1587 Notes: BEA refers to U.S. Department of Commerce, Bureau of Economic Analysis, www.bea.gov; ERP is the Economic Report of the President 2006, statistical tables, www.gpoaccess.gov/eop/download.html; FRB stands for Federal Reserve Board, www.federalreserve.gov/releases/. a Both investment and capital stock are measured in chained 2000 dollars, using chained real quantity indices linked to the current-dollar values for 2000; from historical data for 1947-2004 on a North American Industrial Classification (NAICS) basis (released 15 March 2006). b Net profits and cash flow are measured in current dollars; capital stock is measured at current (i.e. replacement) cost. Both the net profit rate and cash flow ratio were spliced at 1999 using Standard Industrial Classification (SIC)-based data for earlier years and NAICS-based data for 2000-2004 (data for years prior to 1998 were not available on a NAICS basis, and 1998-1999 changes were needed for splicing). c Cash flow is defined as undistributed corporate profits plus corporate capital consumption allowances (depreciation of capital stock). d Price-adjusted and trade weighted, including both 'major' currencies and 'other important trading partners' currencies. e Real interest rate calculated by subtracting the percentage change in the GDP chain-type price index from the nominal Aaa corporate bond rate.

Table A.2. Correlation matrix (sample period 1973-2004, 32 observations) Investment rate Net profit rate Cash flow ratio GDP growth rate Real dollar index Real Aaa interest rate User cost of capital Investment rate 1.00 Net profit rate 0.02 1.00 Cash flow ratio -0.09 0.84 1.00 GDP growth rate 0.04 0.31 0.29 1.00 Real dollar index -0.14-0.52-0.22 0.11 1.00 Real Aaa interest rate -0.05-0.55-0.33 0.21 0.47 1.00 User cost of capital -0.60 0.28 0.44-0.05 0.05 0.24 1.00 Note: See Table 1A for variable definitions and sources. Table A.3. Granger-causality tests (sample period 1973-2004, 30 observations used after 2 lags) P-values for the null hypothesis that the row variable does not Granger-cause the column variable: Investment rate Net profit rate Cash flow ratio GDP growth rate Real dollar index Real Aaa interest rate User cost of capital Investment rate 0.218 0.123 0.324 0.601 0.386 0.890 Net profit rate 0.004*** 0.014** 0.785 0.916 0.384 0.073* Cash flow ratio 0.126 0.396 0.583 0.969 0.008*** 0.202 GDP growth rate 0.037** 0.101 0.033** 0.198 0.015** 0.501 Real dollar index 0.159 0.080* 0.399 0.572 0.266 0.124 Real Aaa interest rate 0.888 0.175 0.360 0.598 0.513 0.000*** User cost of capital 0.061* 0.979 0.645 0.747 0.767 0.186 Note: See Table 1A for variable definitions and sources. Significance levels: *10%, **5%, ***1%..

Table A.4. Augmented Dickey-Fuller (ADF) tests for unit roots (sample period 1973-2004, 32 annual observations) Null hypothesis: unit root I (1) Significance Specification Criterion Lags Level (p value) Accept/Reject (level) Investment rate Intercept AIC, SIC 1 0.293 Accept " Intercept + trend AIC, SIC 1 0.306 Accept " First differences, intercept AIC, SIC 1 0.001 Reject 1% Net profit rate Intercept AIC, SIC 0 0.371 Accept " Intercept + trend AIC 1 0.221 Accept " Intercept + trend SIC 0 0.443 Accept " First differences, intercept AIC, SIC 0 0.000 Reject 0.1% Cash flow ratio Intercept AIC, SIC 0 0.148 Accept " Intercept + trend AIC, SIC 1 0.020 Reject 5% GDP growth rate Intercept AIC 3 0.002 Reject 1% " Intercept SIC 0 0.001 Reject 1% Real dollar index Intercept AIC, SIC 1 0.055 Reject 10% Real Aaa interest rate Intercept AIC, SIC 2 0.419 Accept " Intercept + trend AIC 6 0.756 Accept " Intercept + trend SIC 2 0.807 Accept " First differences, intercept AIC 6 0.243 Accept " First differences, intercept SIC 0 0.001 Reject 1% User cost of capital Intercept AIC, SIC 0 0.944 Accept " Intercept + trend AIC 8 0.047 Reject 5% " Intercept + trend SIC 4 0.060 Reject 10% " Percentage change, intercept AIC, SIC 0 0.001 Reject 0.1% Notes: AIC is the Akaike Information Criterion; SIC is the Schwartz Information Criterion. All variables are measured in levels except as noted.

Table A.5. Kwiatkowski-Phillips-Schmidt-Shin tests for stationarity (sample period 1973-2004, 32 annual observations) Null hypothesis: stationary I (0) Critical values 10% level 5% level 1% level Bandwidth LM Statistic 0.347 0.463 0.739 Investment rate Intercept 4 0.388 Reject Accept Accept Net profit rate Intercept 4 0.451 Reject Accept Accept " First differences, intercept 4 0.074 Accept Accept Accept Cash flow ratio Intercept 14 0.248 Accept Accept Accept GDP growth rate Intercept 12 0.214 Accept Accept Accept Real dollar index Intercept 4 0.087 Accept Accept Accept Real Aaa interest rate Intercept 4 0.253 Accept Accept Accept User cost of capital Intercept 4 0.488 Reject Reject Accept " Percentage change, intercept 3 0.404 Reject Accept Accept 0.119 0.146 0.216 Investment rate (real) Intercept + Trend 4 0.100 Accept Accept Accept Net profit rate Intercept + Trend 3 0.100 Accept Accept Accept Notes: All tests were run using the Newey-West bandwith selection method* with Bartlett kernel spectral estimation in EView 4.1. All series are measured in levels except as indicated. *Newey, W. & West, K. D. (1994) Automatic lag selection in covariance matrix estimation, Review of Economic Studies, 61, pp. 631-653.