1

 The author is an economist at the Federal Trade Commission. Views and opinions expressed

in this paper are solely those of the author and should not be interpreted as reflecting the views of

the Federal Trade Commission, any of its individual Commissioners, or other members of the

staff. Comments by Hugh Arce, Bruce Blonigen, Michael Gallaway, Keith Hall, Daniel Hosken,

Morris Morkre, Geoffrey Oliver, Thomas Prusa, Craig Schullman, Aileen Thompson and

participants at the Allied Social Science Association and Southern Economics Association

meetings were appreciated.

The Economic Effects of Withdrawn 

Antidumping Investigations: Is There Evidence of Collusive Settlements 

Christopher T. Taylor1

Federal Trade Commission

Last Revised: August 23, 2001

Abstract: This paper analyzes the effects of antidumping and countervailing duty cases initiated

from 1990 to 1997 that ended in withdrawn petitions without a suspension agreement or

voluntary export restraint. Monthly import data are used to estimate the price and quantity effects

of the withdrawn cases. The effects of the petition being withdrawn do not support the accepted

wisdom that withdrawn petitions are a signal of collusion. However, a few of the cases show

changes in price and quantities consistent with collusion. This is an important issue, since out-ofcourt settlements of unfair trade cases which restrict quantities or increase prices are not only

welfare reducing but are also actionable under the antitrust laws; they are not exempt under the

Noerr-Pennington doctrine.

JEL Classification: F13, C13

Keywords: Antidumping, Trade Protection, Collusion
2

I. INTRODUCTION

It has long been suspected by lawyers and economists that firms may use the unfair trade

laws, primarily antidumping (AD), to foster collusive agreements between firms. (Calvani et al.

(1986) and Prusa (1992)) This collusion may either be among domestic firms or between

domestic and foreign firms. For example, a domestic firm or industry may file an AD petition

containing incorrect information and fraudulently obtain dumping relief, effectively removing

import competition. A domestic firm or firms may also abuse the unfair trade laws by using

them as a threat to negotiate a collusive agreement with a foreign competitor. Anecdotal

evidence suggests that suspicion of these types of abuses are not unfounded. 

In 1989, the largest U.S. based producers of ferrosilicon, an industrial metal, formed a

cartel, set a collusive price and withdrew capacity from the market. These firms then used the

drop in their sales to prove injury from dumping and AD duties were imposed in 1993 against

five foreign competitors. The U.S. firms were then free to manage the cartel. When imports

began to enter the United States from another country, Brazil, the U.S. firms invited the

Brazilians to enter the cartel. The Brazilian producers did not accept the offer and were then

subject to an AD claim and duties were imposed. Eventually the cartel was discovered and cartel

members have been found guilty in both criminal and civil proceedings (USITC (1999a) Pierce

(2000)). These series of events provide an example of the use of the AD process to exclude

foreign competition and to attempt to entice/coerce them into collusive agreements. 

Other anecdotal evidence suggest that this is not an isolated incident. In a 1995 district

court case (Music Center v. Prestini Musical Instrument Company, 874 F. Supp. 543 E.D. NY

1995), it was alleged by the foreign firm in the complaint that the domestic firm made an offer to

collude with the threat of an AD claim if the overture was rejected. It was alleged that the refusal

of the foreign firm triggered the AD complaint. The court did not rule on the merits of this

invitation to collude claim since the foreign firm had not alleged that they were injured.

There is a belief in the economics literature that a withdrawn AD petition is a signal that

foreign and domestic firms have reached a collusive out-of-court settlement. This hypothesis
3

was first suggest and investigated by Prusa (1992) and later cited by other economists.

(Rosendorff (1996) & Zanardi (2000)). This belief is questionable. While there have been

studies on the economic effects of AD cases in which duties were imposed, truly withdrawn

cases, cases where the domestic firms withdraw the petition without a government negotiated

settlement, have not received the same degree of attention. This paper will examine whether

trade data supports the belief that withdrawn petitions precede decreases in quantity or increases

in the price of subject imports, i.e. a collusive settlement.

The potential collusive effects of withdrawn AD petitions is an important research

question for a number of reason. Gallaway et al (1999) estimate that the combined effect of the

AD and countervailing (CVD) laws had a negative effect on the U.S. economy of four billion

dollars in 1993. This effect is only for cases where duties were imposed. Since only

approximately one-half of cases end in duties and approximately 10 percent of cases are

withdrawn without a known settlement, if withdrawn cases have a welfare effect, they should be

included in the overall economic impact of the unfair trade remedy laws.

There is also a belief that collusive settlements to AD complainants resulting in

withdrawn petitions are legal as well as common (Prusa (1992)). While this paper does not offer

an in-depth legal analysis of whether an out-of-court settlement to an AD complaint is legal, this

issue is discussed. While there is limited case law on the subject, a settlement of an AD case

which affects the price and/or quantity of subject imports, not involving a joint venture, is illegal. 

From an antitrust perspective, if settlements exist they need to be investigated.

The purpose of this paper is to examine the effects of unfair trade cases (AD/CVD) that

are withdrawn by petitioners. The effects examined are the price and quantity changes associated

with the investigations on subject imports. In contrast to most of the previous research in this

area, we use detailed product level quantity and unit value data and only examine truly

withdrawn cases and find that most withdrawn cases either have a procompetitive effect, i.e.

prices decrease or quantities increase after the petition is withdrawn, or they have no effect. In a

few cases the quantity and price changes after the cases are withdrawn are not inconsistent with

an anticompetitive settlement. 
 

1

 For a more detailed description of the AD/CVD process see USITC (1995) Chapter 2 or

USITC (1999b). 

 

2

 “Fair” or “normal” value is based on home market sales. If home market sales are not

available, third country markets prices or constructed values are used.

4

To understand the institutional background and to motivate the empirical specification

that follows, Section II presents a description of the AD process and the legal aspects of an outof-court settlement. Section III contains a review of previous research on the topics covered in

this paper. Section IV discusses the methodology and data that are used in the estimation

process. Section V discusses the results of the empirical estimation. Section VI concludes with

discussions of the policy implications of the results and avenues for further research in this area. 

II. U.S. AD/CVD Procedure and Settlement Antitrust Implications1

To motivate the empirical specification and ease the discussion of previous research it is

important to briefly summarize the process by which U.S. AD complaints are investigated. The

AD process starts with petitions being simultaneously filed at both the Commerce Department’s

International Trade Administration (ITA) and the U.S. International Trade Commission (ITC). 

The ITA determines whether the foreign product is being sold at less than fair value (LTFV)2 in

the United States. The ITC determines whether the domestic industry has been injured by sales at

LTFV. This is a multi-step process in which both agencies make preliminary and final

determinations. Full investigations take approximately one year if they continue to completion,

but the investigation may be terminated prior to completion by a negative decision, a withdrawn

petition, or a suspension agreement. It is very important to distinguish between the reasons that a

case does not continue until a final injury determination. In some of the research in this area

suspended and withdrawn of cases have been treated as if they were the same and combined for

estimation purposes. (Prusa (1999)) In a pooled estimation of the effects of suspended and

withdrawn cases this could lead to finding an effect from withdrawn cases that may not exist. 
 

3

 The U.S. AD law defines material injury as “harm which is not inconsequential, immaterial

or unimportant”. 19 U.S.C. 1667 (7)(A).

5

Within 20 days of the petition’s filing, the ITA must determine whether the petition is in

order. Within 25 days of receiving notification from ITA, the ITC must determine if there is a

“reasonable indication” that an industry in the United States is materially injured, threatened with

material injury, or the establishment of the industry in the United States is materially retarded by

reason of LTFV imports of the subject product.3

After an affirmative decision by the ITC, the ITA has 140 days from the filing of the

petition to determine whether there is a reasonable basis to believe that the product in question

was sold or is likely to be sold at LTFV. The ITA calculates a preliminary dumping margin for

individual firms being investigated and an ‘all other’ margin for the remaining firms. Once ITA

makes an affirmative determination, a duty based on the AD margins must be paid on imports of

the subject merchandise. These duties, which may be posted as bonds, are held pending the

outcome of the rest of the investigation. If ITA’s preliminary decision is negative, no duty is

required, but the investigation continues.

Within 235 days of the filing of the petition, ITA must make its final determination of

sales at LTFV, and calculate the final AD margins. If ITA’s final determination is affirmative, it

instructs the U.S. Customs Service (Customs) to continue collecting duties. If ITA’s final

decision is negative, the investigation ends and Customs stops collecting the duty and refunds all

deposits that have been paid with interest.

The ITC must make a final determination within 120 days of ITA’s affirmative

preliminary decision and 45 days after ITA’s affirmative final decision. As in the preliminary

determination, the ITC determines whether there is material injury or threat of injury, but no

longer uses the reasonable indication criteria. If the ITC determination is negative, the ITA

informs Customs to stop collecting duties on the product and to refund all previously collected

duties, with interest. If the ITC’s determination is affirmative, it also has to determine whether
6

duties should have been collected from the point at which they were initially imposed or from the

time of the final ITC determination.

At any point after the ITA preliminary determination and prior to the ITC’s final

determination, the investigation may be withdrawn or suspended. Suspension occurs if the ITA

reaches an agreement with the foreign firms to stop the LTFV sales to the U.S. market either by a

cessation of sales to the U.S. or by raising their prices. If the petition is withdrawn by the

petitioner, the investigation will end with the concurrence of the ITA.

An important legal question, concerning withdrawn petitions, is to what extent a private

out of court settlement between foreign and domestic firms violates U.S. antitrust laws. There is

an antitrust doctrine, referred to as Noerr-Pennington, which allows firms in the domestic

industry to work together and exchange information in order to lobby for government actions, i.e.

file an AD complaint. The Noerr-Pennington doctrine establishes the circumstances in which

private efforts to elicit anticompetitive government action are immune from antitrust challenges.

(American Bar Association (1997)) 

Prusa (1992, p.7) and subsequent papers assert that, “the Noerr-Pennington exemption

broadens the scope for relief and allows the domestic industry to withdraw its petition after

achieving a settlement.” The government guidelines on U.S. antitrust policy and limited court

cases suggest that this is not true. 

The Antitrust Enforcement Guidelines for International Operations issued by the U.S.

Department of Justice and the Federal Trade Commission, clearly address this issue (U.S. DOJ,

1995). A genuine effort to obtain or influence government action is immune from the Sherman

Act. For example if domestic firms exchange competitive information in order to file an AD

claim, this would be protected by Noerr-Pennington as long as the exchanges are reasonably

necessary to file the petition. However, the examples and discussion point out that a private

agreement between U.S. and foreign firms affecting prices or quantities without the involvement

of the ITA, i.e. a suspension agreement, would be illegal. 

In certain instances, the U.S. trade laws set forth specific procedures for settling disputes

under those laws, which can involve price and quantity agreement by the foreign firms
7

involved. When those procedures are followed, an implied antitrust immunity results.

However agreements among competitors that do not comply with the law, or go beyond

the measures authorized by the law, do not enjoy antitrust immunity. (U.S. DOJ 1995 -

Section 3.4)

An example of a legal case very similar to the situation of a withdrawn AD petition was

United States v. Nat’l Board of Fur Farms Orgs., 395 F. Supp. 56 (E.D. Wis. 1975) and the

subsequent settlement. In this case domestic mink farmers participated in an agreement whereby

they would abandon their attempts to secure import relief from the U.S. government in exchange

for price fixing with foreign competitors. The Justice Department prosecuted and reached a

settlement with the domestic mink farmers that they would cease and desist (Calvani et al

(1986)). Even though there is little precedent on this type of case, it is clear that a private

settlement of an AD dispute which attempted to increase prices or decrease imports without some

other rational, such as a joint venture, would be illegal.

III. REVIEW OF PREVIOUS LITERATURE 

There have been a number of investigations of the many facets of AD cases. Several

articles have focused on the effects of AD duties on imports to the U.S. and on domestic output

(See Kalt (1988), and Morkre and Kelly (1994)). Only a few articles have touched upon the main

topic of this paper, the effects on subject import price and quantity due to a withdrawn case.

There are more articles which look whether there is an effect of the investigation. The research

pertaining to these topics are summarized below and can be classified into several categories by

the methodology used. These categories are game theoretic with empirical support, and

econometric. 

Prusa (1992) presents a game theoretic bargaining model where a domestic firm and a

foreign firm compete in prices and shows that they will prefer a settlement to duties and therefore

there is an incentive to withdraw cases. Prusa examines the value of trade both before and after

the petition is filed in AD cases. This is done on an aggregate basis of all cases for the two years,

1980-1981, and he looks at ratios of the value traded to detect changes in response to
8

investigations. By examining the data in this way, Prusa concludes that the filing of the petition

has no effect on the value of imports. However, once the petition is accepted he concludes it does

not matter whether duties are imposed or a settlement is reached, the effects are the same. One

interpretation of the model results is that AD petitions serve as a basis to achieve a cooperative

level of profits for the foreign and domestic firms. In other words the AD process may allow

foreign and domestic competitors to negotiate a settlement that benefits both of them. 

An extension to Prusa’s model is given in Zanardi (2000). In his model he examines

when the domestic firm should withdraw a petition and reach a collusive out of court settlement

with the foreign firm. A shortcoming of the Prusa model is that it predicts that all cases should be

settled. Prusa’s model is a special case of the more general Zanardi model. Zanardi also

constructs a dataset to measure domestic firm’s and foreign firm’s coordination costs and

bargaining power. Since the measures of relative coordination costs and bargaining power

support the theoretical predictions of the model, he concludes that this is consistent with the

hypotheses that AD law is used as a collusive device with respect to withdrawn petitions. 

An early attempt to econometrically test the effect of affirmative AD investigations on

foreign firms is Herander and Schwartz (1984). They examine the dumping margins of foreign

firms during 1976-1981 to see if the threat of an AD investigation affects the margins or duty

rates of subsequent AD cases. In other words do previous AD cases in a given industry cause

foreign firms in that industry to raise their prices to head off future cases. They find that higher

probabilities of a petition in a given industry reduce the margins found in that industry when

other cases are filed previously. In other words, the threat of an AD investigation raises prices.

Harrison (1991) uses quarterly SITC data on 41 product categories to examine the effect

of AD duties on import prices. She tests for the impact of investigations as well as the duties

themselves. The OLS results show that investigations have mixed results on the prices, whereas

AD duties should raise import prices. When accounting for the simultaneity problem of prices

and duties, the results are inconclusive with respect to both investigations and the imposition of

duties. So in both specifications there is no investigation effect.
9

Staiger and Wolak (1994) develop a dataset for AD cases for 1980-85. They use annual

import data aggregated to the 4-digit SIC level to look at the effects of AD on the value of

subject imports as well as on output in the domestic industry. Since their import data are on an

annual basis, and since AD cases last less than a year and may overlap calendar years, they

construct an index of the number of AD cases within the industry for each year. They use the

change in this index to judge the effects of the AD investigation process on imports and domestic

output. Their model shows that the imposition of an AD duty on a single tariff line will generate

a drop in annual imports of 10.55 million 1972 dollars. They find substantial investigative effects

with a drop in subject imports of approximately 50 percent in the period after the case is filed.

However they find no evidence of an impact in imports of a withdrawn case. Cases that ended

with suspension agreements have about half the effect as those where AD duties were imposed in

their dataset.

USITC (1995) evaluates the impact of AD orders focusing on 8 products where AD

orders were imposed. Each case study econometrically analyzes the impact of the AD duties on

imports and prices. Estimations are done on a quarterly basis based on a system of equations

looking at the supply and demand of the domestic and foreign products. In 3 of the 8 cases a

significant drop in import quantity occurs during the investigation period.

Krupp and Pollard (1996) examine all AD cases in the chemical industry from 1976 to

1988. The main strength of this paper is that it uses disaggregated trade data to examine the

effects of these cases. A simple one equation market model relates import revenue to a number of

variables including the timing of the investigation and duty imposition. They find investigation

effects for most of the cases. They only have one withdrawn case in their sample. This case was

withdrawn after a suspension agreement, which had the expect effect of reducing the value of

imports. 

Prusa (1999) uses annual data on the value, quantity and unit value of imports to examine

the effects of AD investigations on trade. The cases are classified as affirmative, where duties are

imposed, negative, where there was a negative final injury determination, and settled. Settled

cases include those that end in a suspension agreement, a voluntary restraint agreement, or the
10

withdrawal of the petition. He finds significant reductions in trade for affirmative and settled

cases. There are stronger quantity effects than price effects. The reduction in the quantity of trade

is similar for the settled cases and the affirmative cases. Prices increase less when cases are

settled than when duties are imposed. However, settled cases include both suspended cases

where a settlement has been reached and withdrawn cases where a settlement may or may not

exist. In grouping these cases together, the estimated effect off this collection of cases is a

weighted average of the suspended and withdrawn cases. Since there were settlements in the

suspended cases that should have limited imports, the weighted average effect of all the

suspended and withdrawn cases says nothing about the effects of withdrawn cases. 

A slightly different econometric approach to examine the effect of investigations or the

imposition of duties is an event study. An event such as an AD petition filing or the imposition of

AD duties is examined using time series data before, during, and after the event. Hartigan et al

(1986, 1989) and Lenway et al. (1990) examine the impact of trade measures on market returns

to firms that are affected by AD investigations. Most relevant for this paper is Hartigan et al.

(1989), which analyzes the effects of the investigation process by evaluating the return to the

stock verses the expected return of companies who were judged to be affected by AD cases.

Firms are found to gain during the investigation process even when the outcome is negative, i.e.

no duties are imposed. This implies that import quantities, prices or both should be affected as a

result of an investigation or settlement. Their analysis does not allow the price and quantity

effects to be identified.

 The present paper is the only one that examines a dataset based exclusively on

withdrawn petitions. In addition, much of the previous research in this area uses aggregate data. 

Much of this research uses annual data, on an SIC or SITC basis, and this data measures the

value of imports from all countries. The data on the cases in this paper shows an average 30

percent market share of subject imports to total imports at the 10-digit harmonized tariff schedule

(HTS) level of disaggregation. Much of the previous research did not break out subject and nonsubject imports when examining antidumping cases. Aggregating to SIC or SITC level may
11

likewise obscure effects of the AD process. Since the investigation process takes less than a year,

using annual data to analyze the effects of the investigation process is tenuous, at best.

A more important weakness is the use of value import data rather than import quantities

and prices or unit values. Because the expected effects of AD investigations includes rising

import prices and falling quantities, outcomes in terms of import values may be inconclusive. In

fact, results showing that AD investigations have a positive, negative, or no effect would be

possible under a plausible range of elasticity values for the demand for imports. Hence, research

using import values that find no effects of the AD process is not surprising and should not be

taken as strong evidence that these results do not exist.

IV. DESCRIPTION OF METHODOLOGY AND DATA 

A. Methodology

The main hypothesis tested is whether the withdrawal of an AD/CVD petition leads to an

increase in the price and/or decrease in the quantity of the imports subject to investigation. These

types of price movements would be consistent with a collusive out-of-court settlement being

reached. This is the general belief put forth in Prusa (1992) and cited by others that a withdrawn

petition signals such an agreement. A related question is whether the data show an investigation

effect, i.e., does the quantity of imports decrease or price increase between the filing of the

petition and its withdrawal. It is also important to examine the reaction of imports from

countries not subject to the investigation as well. In much of the literature one of the main

effects found from the unfair trade laws is trade diversion (Messerlin (1989), Prusa (1997) and 

Krupp & Pollard (1996)). In the ferrosilicon case, the main trade effect was a decrease in the

quantity from the countries subject to the duties and an increase from non-subject countries. In

that case the colluding firms increased their supply to the United States from their foreign

operations. 

As a first pass a simple regression of the value, quantity and price (unit value) of the

subject imports were regressed on dummy variables for the 12 months before the petition filing,

the months during the investigation, and the 12 months after the case was withdrawn. The value,
12

(1)

(2)

(3)

quantity, and price regressions are equations (1), (2), and (3) respectively. These regressions are a

more refined version of the ratios calculated in Prusa (1992) and similar to the regressions in

Prusa (1999).

Ln(P*Qs

) = Value of Subject Imports

AD2 = Dummy 12 Months before Petition Filing

AD 3 = Dummy Investigation 

AD4 = Dummy 12 Months after Withdrawn Petition before Petition Filing

Ln(Qs) = Quantity of Subject Imports

Ln(Ps) = Price of Subject Imports

The data, as described below, is monthly from 1989-1998. The 120 observation are

divided into 5 periods. Period 1 is from 1990 until 12 months before the AD petition is filed,

AD1. Period 2 is the 12 months prior to the petition being filed, AD2. Period 3 is during the

investigation, AD3. Period 4 is the12 months after the petition is withdrawn, AD4. Period 5 is the

13th month after the petition is withdrawn until the end of the dataset, AD5

. These equations are

estimated both cases by case and pooled with case fixed effects.

To more thoroughly analyze the effects of withdrawn petitions, a more fully specified

system of interactions is estimated. In order to estimate a separate price and quantity effect of

withdrawn petitions on subject imports, and to control for the other imports, a system of demand

and supply equations were estimated. A three equation system with an inverse demand for

subject imports, a supply of subject imports and a demand for rest of world imports comprise the

system. The constant elasticity supply and demand framework is given below. For examples of

simultaneous demand-supply systems for international trade see Golstein and Khan (1978) and

Carey (1997).
13

 (4)

 (5)

 (6)

Equation four is the inverse demand equation for subject imports. The variables are the

unit value of subject imports, Ps, the quantity of subject imports, Qs, the price of non-subject

imports, PNS, the producer price index, P U.S., U.S. industrial production, YU.S., and the dummy

variable for the five time periods one-year before filing, AD2

, during the investigation, AD3

, oneyear after the withdrawal, AD4

, and from one-year after withdrawal until the end of the dataset,

AD5

.

Equation five is the supply curve for subject imports. The additional variables are

exchange rates, ExRs

, and industrial production of the subject country, Os

. Equations 4 and 5

comprise the simultaneous system of demand and supply of subject imports. Ps and Qs are

endogenous and the exogenous variables in equations four and five are used as instruments. The

demand relationship is identified by the exchange rates and the output in the subject country

(Goldberg and Knetter (1999)). The supply equation is identified by the price of the non-subject

imports, and the price level and output in the United States. 

Equation six is the demand curve for rest of world imports, QNS. The supply of rest of

world imports is assumed to be perfectly elastic. (Thursby and Thursby, 1984) In most cases

there are multiple country supply the United States that are not subject to investigation.

This system was estimated using three stage least squares. This estimation technique

allows for correlation across the error terms and helps mitigate possible omitted variable bias.

Monthly binary variables were included in all three equations as well to capture seasonal effects.
 

4

 Other time periods have a greater number of withdrawn cases, see Prusa (1992) and Prusa

(1999). In addition it is important to separately count cases that end in an official settlement from

those that are withdrawn without a known settlement. 

 

5

I am counting the cordage cases as four cases instead of twelve. One of the difficulties in

counting the number of cases is how to treat a withdrawn and refiled case. The cordage cases

14

To make sure that the regressions were not spurious because of non-stationary variables, the

augmented Dickey-Fuller test for unit roots was performed. In all cases the dependent variable

was I(0). The only independent variable that was I(1) was industrial production. That variable

was included in levels as well as first difference. As an additional check for growth trends in the

import data, the system was estimated with a time trend in each equation. 

B. Data

Between 1990 and 1997 approximately nine percent of all AD and CVD cases were

withdrawn without an official settlement, either a suspension agreement or a voluntary export

restraint. A little over one percent of the cases ended in some kind of official settlement.4

 In 47

percent of cases duties were imposed following affirmative final determinations by the ITA and

the ITC. The remainder were resolved through the normal investigation process in which

terminations occur because of negative determinations. Cases are terminated if the ITA reached a

negative final determination of sales at LTFV or if the ITC reaches a negative injury

determination in either the preliminary stage or the final stage of the investigation. Cases

considered in this analysis include only investigations that were withdrawn. Those cases

terminated before the final determination are sometime mis-classified as withdrawn. Table I

describes the cases analyzed in this paper. The table shows the product, the subject country, the

ITC case number, the month the petition was filed and the month it was withdrawn. It is

important to point out that most cases are withdrawn relatively quickly. The average number of

months a case is under investigation before being withdrawn in this dataset is just under three

months. Thirteen of the twenty-one cases were withdrawn in one or two months.5 This is
were withdrawn and refiled twice. 

15

important when considering whether it is likely that a collusive out of court settlement was

reached. 

Products subject to AD investigations are very narrowly defined. They do not always

map to the harmonized tariff schedule (HTS) categories on a one-to-one to basis, but the public

record generally includes a list of HTS codes under which the subject imports enter the United

States. Federal Register notices that announce the initiation, preliminary and final stages of the

investigation identify the HTS codes under which subject products are imported. Monthly 

import values and quantities were obtained for subject imports at the 10-digit HTS level of

disaggregation from the January 1989 through December 1998. There were 16 cases that have

separate volumes and quantities and five cases that did not. Case specific information on the

initiation, termination, and preliminary and final decision dates was also collected.

The five dummy variables divide the dataset into the time leading up to one year before

filing, within one year before filing, the investigation, within one year after filing and the period

between one year after filing and the end of the data set. The other variables came from the

Survey of Current business, (industrial production of the United States and the producer price

index), and the International Monetary Fund, (exchange rates and industrial output of the subject

country).

One strength of this analysis is the level of detail in the data. By focusing on the subject

imports, we are able to better identify the timing effects associated AD investigations. In

addition, we are less likely to aggregate imports subject to AD investigations with non-subject

imports. The primary weakness of this level of detail is it decreases the ability to match the

import data to domestic production and prices. Given the disaggregated nature of the data it is

difficult to find other explanatory variables. Domestic price indices are not collected at the same

level of detail as the import data, so we are not able to calculate the relative prices of imports to

domestic production. 
 

6To interpret the dummy variable coefficient (") as a percent change, e"

-1, Kennedy (1981).

16

V. RESULTS

The simple single equations regressions given in equations one through three are

estimated to give a benchmark for the more complex system regressions. These simple

regressions are a more refined version of the ratios calculated in Prusa (1992) and similar to the

regressions in Prusa (1999). For all the cases the monthly value of subject imports was regressed

on the binary variables for one year before the petition was filed, the investigation period and the

one year after. This was done for the entire set of cases with case fixed effects and then case by

case. For the 16 cases which have quantity data, the monthly import quantities and unit values

are regressed on the same variables pooled with case fixed effects and then case by case.

The results of these regression are summarized in Tables II and III. The coefficients on

the year before and year after variables are presented along with the test of whether the difference

in the two coefficients is statistically different from zero. Table II shows the results for aggregate

value regression on the 21 cases as a whole with case fixed effects and the results of the

individual case regression for the 16 cases with quantity and unit value data. Table III shows the

results of the value regressions for those cases with only value data.

Overall, the cases show a statistically significant increase in trade comparing the year

before the petition was filed with one year after the petition was withdrawn. The average increase

in the value of trade was 21 percent.6 Ten of the 21 cases showed a statistically significant

increase in trade. No case showed a statistically significant decrease in trade. Of the 11 cases that

showed no statistical increase in trade, seven showed a statistically insignificant decrease in

trade. 

For the 16 cases with quantity and unit value data, most showed an increase in the

quantity of subject imports. The average increase of all the cases estimated with case fixed

effects was 30 percent. Eight cases showed a significant increase in trade, one showed a

significant decrease in the quantity of trade and seven showed no significant change. The unit
17

value regressions showed similar results. The average price decrease for all cases estimated with

case fixed effects is 10 percent. Eight cases showed no significant change in the unit value, five

showed a decrease in the unit value and three showed a significant increase in unit value.

There is little support, in these simple regressions, for the notion that withdrawn AD and

CVD duty petitions are a signal of a collusive agreement between the domestic firms and the

foreign firms subject to investigation. There is only one case, steel wire rod from Belgium, case

number 686, where quantity dropped and price increased and two cases, bulk ibuprofen from

India, case number 526 and ultra high temperature milk from Canada, case number 767, where

prices increased after the petitions were withdrawn. It is important to point out that the cases

which did show a decrease in quantity or increase in price did not show a significant difference in

trade volume. In other words it is important to look at prices and quantities not just the volume of

trade. While there is not a great deal of support for the collusive hypothesis in the simple

regressions, the simple regressions do not control for a number of important variables in the

supply and demand system. 

The supply-demand system was estimated case by case. Overall the supply-demand

framework fits the data well. In the vast majority of cases the supply and demand curves have the

expected slope, the control variables have the right sign and are significant much of the time and

the R-squareds are reasonably high. Given the wide variety of effects of the withdrawn cases

shown in the simple regressions and the range of coefficients on the case by case regressions for

the other explanatory variables, pooling the data was not appropriate.

Table IV presents the coefficients of the dummy variables for one year before, during and

one year after the investigation as well as the tests statistics for whether there is a differences in

the parameter estimates. Overall the results are very similar to the results of the simple

regressions. There are two cases which show a decrease in quantity or an increase in price after a

withdrawn petition. These are two of the three cases that had these type of effects in the simple

regressions, steel wire rod from Belgium and ultra high temperature milk from Canada. 

In most cases there was no significant change in quantities or unit values or the variables

moved in a procompetitive direction. Trade with non-subject countries in about half the cases
18

increased and the other half were unchanged. In only a couple of cases did trade with non-subject

countries drop. It is instructive to look at the results in those cases which had significant effects

of either the investigation or the withdrawn petition.

Case 438, limousines from Canada, shows an increasing quantity of trade and decreasing

price throughout the time period. Case number 496, shopping carts from Taiwan, shows a similar

pattern, although there is a drop in price and quantity during the month the case was under

investigation, a possible investigation effect. 

In terms of potential investigation effects the only case that show a decrease in quantity or

an increase in price during the investigation period is cordage from Portugal, case 631. This case,

as described on Table I, is one of the cordage cases. The certain cordage products cases were

filed three separate times between November 1992 and July 1993. In case 631 there was a

decrease in the quantity of trade during the eight months of investigation, but not after the case

was withdrawn. While this is the only case with an investigation effect, the cordage cases had

the longest investigations in this data set, given the number of somewhat consecutive filings. 

Case number 686, steel wire rod from Belgium, prices and quantities increase between

the pre-investigation period, the investigation period, and the year after withdrawal. This pattern

does not show up in any of the other import equations. Case number 767, ultra high temperature

milk from Canada, shows increased price and increased quantity throughout the period. There are

few imports of ultra high temperature milk from the rest of the world to the United States and so

the rest of world demand equation was not estimated for this case. These are the two cases which

show effects which would be potentially consistent with an anticompetitive settlement. 

The simple regressions also showed that cases 686 and 767 had either a decrease in

quantity or increase in price after the petition was withdrawn relative to before the petition was

filed. The market share of subject imports to total imports of a given product, mentioned earlier,

is important in this context as well. On average the subject imports in this dataset are 30 percent

of total imports for a given product. However, there is a great deal of variance in the market

shares. The two cases that showed an increase in price after the petitions were withdrawn have

two of the top four market shares of subject imports to total imports. This is consistent with the
19

argument that other imports are significant alternative choices for U.S. buyers and constrain U.S.

producers and producers in subject countries. It also raises the issue of examining importer

market shares before making generalization about the possibility of collusion.

VI. CONCLUSIONS

The main purpose of this paper was to assess whether the detailed trade data supported

the notion that a withdrawn AD petition is a signal that a collusive agreement between domestic

and foreign firms had been reached. Economic researchers have accepted as conventional

wisdom that withdrawn petitions are a signal of a collusive out-of-court settlement to an AD

case. This has progressed to a point where they are being referred to as “settled cases” and

lumped together with cases where there has been an suspension agreement or a voluntary export

restraint. Models have been designed to ascertain when firms might want to negotiate a collusive

settlement with the foreign firms and withdraw their AD petition. It was also claimed, that these

out-of-court settlements are legal as well. 

Based on the results of this paper both of these beliefs are open to serious question. The

data and analysis presented in this paper concerning cases that were withdrawn without a known

settlement, i.e. suspension agreement or voluntary export restraint, suggests that out-of-court

collusive settlements are not common - at least not in the 1990s. The vast majority of cases saw

an increase or no change in the amount of trade. Only in two of the 16 cases did prices increase

or quantities decrease. In addition, none of the six cases that only had value data showed a

significant decrease in trade. Given the length of time between filing the case and the withdrawal,

in a large percentage of cases this is two months, it is likely that a larger percentage of cases are

withdrawn because it became clear that they were unlikely to be successful. The results presented

in this paper clearly show that it is important to examine price and quantity data not just the value

of trade when looking at the impact of trade restraints. 

It is important to point out that in the few cases where the trade data showed a decrease in

trade or an increase in prices, there are a number of factors which could explain these movements
20

other than collusion. In other words a decrease in the quantity of trade or an increase in price are

necessary but not sufficient indicia of collusion. It is useful to note that the simple event

regressions gave very similar results to the more fully specified model. 

Given the results from this dataset, that withdrawn cases do not seem the result of

collusive settlements, a fruitful area for research concerns the development of theoretical models

of when firms might want to withdraw cases. The explanation might concern a firm wanting to

preserve the threat of future trade protection. A second possible avenue for research would be to

look for more sophisticated explanation of collusion. This would include collusive arrangements

that come out of successful cases, such as the ferrosilicon case, or potential collusive information

exchange in the filing process. 
21

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Violation, Antitrust Bulletin 31, 527--550.

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Countervailing Duty Laws, Journal of International Economics 49, 211--244.

Goldberg, P.K., Knetter, M.M., 1999, Measuring the Intensity of Competition in Export Markets,

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Harrison, A., 1991, The New Trade Protection: Price Effects of Antidumping and

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Hartigan, J.C., Perry, P.R., Kamma, S., 1986, The Value of Administered Protection: A Capital

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Herander, M., Schwartz J.B., 1984, An Empirical Test of the Impact of the Threat of U.S. Trade

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Kennedy, P.E., 1981, Estimation with Correctly Interpreted Dummy Variables in

Semilogarithmic Equations, American Economic Review, 71, 802.

Krupp, C., Pollard P.S., 1996, Market Responses to Antidumping Laws: Some Evidence from

the U.S. Chemical Industry, Canadian Journal of Economics, 29, 199--227.
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Lenway, S., Rehbein K., Starks, L., 1990, The Impact of Protection on Firm Wealth: The

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Messerlin, P., 1989, The EC Antidumping Regulations: A First Economic Appraisal, 1980-85,

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Morkre, M.E., Kelly K. H., 1994, Effects of Unfair Imports on Domestic Industry: U.S.

Antidumping and Countervailing Duty Cases, 1980-1988, FTC Bureau of Economics Staff

Report.

Pierce, R.. J., 2000, Antidumping Law as a Means of Facilitating Cartelization, Antitrust Law

Journal, 67, 725--743.

Prusa, T. J., 1992, Why Are So Many Antidumping Petitions Withdrawn?, Journal of

International Economics, 33, 1--20.

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The Effects of U.S. Trade Protection and Promotion Policies, Chicago: University of Chicago

Press, 191--213.

Prusa, T. J., 1999, On the Spread and Impact of Antidumping, NBER Working Paper No. 7404. 

Rosendorf, P.B., 1996, Voluntary Export Restraints, Antidumping Procedure, and Domestic

Politics, American Economic Review, 86, 544--561.

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United States, in Baily, M.N., Reiss, P.C.,Winston C. (Eds.) Brookings Papers on Economic

Activity: Microeconomics, Washington D.C.: The Brookings Institution, 51--118.

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Import Demand?, Review of Economics and Statistics, 66, 120–128.

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Guidelines for International Operations.

USITC, 1995, The Economic Effects of Antidumping and Countervailing Duty Orders and

Suspension Agreements, Publication 2900.

USITC, 1999a, Ferrosilicon from Brazil, China, Kazakhstan, Russia, Ukraine, and Venezuela,

Investigation 751-TA-21-27, Publication 3218.

USITC, 1999b, Antidumping and Countervailing Duty Handbook, Publication 3380.
23

Zanardi, M., 2000, Antidumping Law as a Collusive Device, Boston College Working Paper No.

487.
24

Table I: Cases Covered in the Analysis:

Product Case Subject Initiation Termination

Number Country Date Date 

Cases with value and quantity data:

Portable Seismographs 731-313 Canada 1992: M2 1992: M6

Limousines 731-438 Canada 1989: M8 1990: M3

Benzyl Paraben 731-463 United Kingdom 1990: M7 1990: M7

Shopping Carts 731-495 China 1991: M1 1991: M1

731-496 Taiwan 1991: M1 1991: M1

Bulk Ibuprofen 731-526 India 1991: M8 1992: M3

Sulfur Dyes 731-549 Hong Kong 1992: M4 1992: M5

Hairbrushes 731-623 China 1992: M9 1992: M9

Certain Cordage Products 731-628 Costa Rica 1992: M11 1992: M12

731-629 South Korea 1992: M11 1992: M12

731-630 Mexico 1992: M11 1992: M12

731-631 Portugal 1992: M11 1992: M12

Certain Cordage Products 731-632 Costa Rica 1992: M12 1993: M1

731-633 South Korea 1992: M12 1993: M1

731-634 Mexico 1992: M12 1993: M1

731-635 Portugal 1992: M12 1993: M1

Certain Cordage Products 731-654 Costa Rica 1993: M7 1993: M8

731-655 South Korea 1993: M7 1993: M8

731-656 Mexico 1993: M7 1993: M8

731-657 Portugal 1993: M7 1993: M8

Steel Wire Rod 731-647 Canada 1993: M2 1994: M6

Stainless Steel Pipe Fittings 731-658 Taiwan 1993: M81994:

M7

Steel Wire Rod 731-686 Belgium 1994: M2 1994: M6

Ultra High Temperature Milk 731-767 Canada 1997:M3 1997:M3

Cases with only value data:

Phototypesetting Machines 731-456 Germany 1990: M3 1990: M10

Woodwind Keypads 731-626 Italy 1992: M9 1992: M9

Wheel Inserts 731-720 China 1994: M9 1994: M10

Drawer Slides 731-723 China 1994: M10 1995: M10

PVC Framing Stock 731-738 United Kingdom 1995: M9 1996: M11
25

Table II: Simple Regressions on Value, Quantity and Unit Values

Case

#

Value Value

(1)-(2)

Quantity Quantity

(3)-(4)

Unit Values Unit

Values

(5)-(6) Year Before

(1)

Year After

(2)

Year Before

(3)

Year After

(4)

Year Before

(5)

Year After

(6)

ALL 11.73*

(0.35)

11.92*

(0.34)

-0.19**

(0.13) 

12.13*

(0.32)

12.39*

(0.32)

-0.26*

(0.13)

-0.40*

(0.10)

-0.50*

(0.10)

0.10*

(0.05)

313 11.04*

(0.17)

10.95*

(0.17)

0.09

(0.24)

2.67*

(0.20)

3.15*

(0.20)

-0.48*

(0.28)

8.37*

(0.20)

7.80*

(0.20)

0.57*

(0.29)

438 19.55*

(0.16)

20.55*

(0.13)

-1.00*

(0.21)

9.93*

(0.19)

11.10*

(0.15)

-1.18*

(0.24)

9.63*

(0.04)

9.45*

(0.03)

0.18*

(0.04)

463 11.43*

(0.31)

11.38*

(0.31)

0.05

(0.44)

8.55*

(0.63)

8.68*

(0.63)

-0.13

(0.89)

2.88*

(0.34)

2.70*

(0.34)

0.18

(0.48)

495 14.20*

(0.07)

14.31*

(0.07)

-0.11

(0.09)

11.78*

(0.06)

11.91*

(0.06)

-0.13

(0.08)

2.41*

(0.04)

2.40*

(0.04)

0.01

(0.06)

496 12.46*

(0.10)

12.87*

(0.10)

-0.41*

(0.14)

10.34*

(0.11)

10.89*

(0.11)

-0.54*

(0.16)

2.12*

(0.04)

1.99*

(0.04)

0.13*

(0.05)

526 12.58*

(1.21)

10.31*

(1.21)

2.27

(1.72)

9.90*

(0.15)

8.05*

(0.96)

1.85

(1.35)

2.68*

(0.01)

2.71*

(0.01)

-0.03*

(0.01)

549 6.07*

(1.55)

5.41*

(1.55)

0.66

(2.20)

4.83*

(1.37)

5.00*

(1.37)

-0.17

(1.94)

2.12*

(0.44)

0.82

(0.47)

1.31**

(0.64) 

623 14.06*

(0.07)

14.41*

(0.07)

-0.35*

(0.10)

15.16*

(0.05)

15.51*

(0.05)

-0.35*

(0.07)

-1.10*

(0.04)

-1.10*

(0.04)

0.01

(0.06)

628 9.91*

(0.57)

11.63*

(0.57)

-1.72*

(0.81)

9.48*

(0.57)

11.52*

(0.57)

-2.04*

(0.81)

0.47*

(0.13)

0.12

(0.13)

0.36**

(0.18) 

629 13.07*

(0.08)

13.58*

(0.09)

-0.51*

(0.13)

12.38*

(0.08)

12.64*

(0.08)

-0.26*

(0.11)

0.70*

(0.13)

0.94*

(0.13)

-0.25

(0.18)

630 13.01*

(0.09)

13.80*

(0.10)

-0.78*

(0.10)

11.76*

(0.13)

12.31*

(0.13)

-0.54*

(0.18)

1.31*

(0.06)

1.28*

(0.06)

0.04

(0.09)

631 11.02*

(0.16)

11.58*

(0.16)

-0.56*

(0.22)

8.89*

(0.20)

9.58*

(0.20)

-0.68*

(0.29)

2.13*

(0.14)

2.00*

(0.04)

0.14

(0.20)

647 10.32*

(0.14)

10.93*

(0.14)

-0.61*

(0.19)

10.79*

(0.26)

11.19*

(0.26)

-0.40

(0.37)

0.47*

(0.17)

-0.26

(0.17)

-0.21

(0.24)

658 14.29*

(0.08)

14.30*

(0.08)

-0.00

(0.11)

12.05*

(0.09)

12.07*

(0.09)

-0.02

(0.12)

2.24*

(0.04)

2.22*

(0.04)

0.02

(0.06)

686 16.66*

(0.04)

16.64*

(0.04)

0.02

(0.06)

17.57*

(0.04)

17.45*

(0.04)

 0.11**

(0.06)

-0.91*

(0.01)

-0.81*

(0.01)

-0.10*

(0.02)

767 11.20*

(0.75)

12.39*

(0.75)

-1.19

(1.06)

11.72*

(0.78)

12.74*

(0.78)

-1.02

(1.11)

-0.57*

(0.02)

-0.25*

(0.02)

-0.22*

(0.03)

* - Significant at the 5% level

** - Significant at the 10% level 
26

Table III: Simple Regressions on Values

Values Values

Case Year Before (1) Year After (2) (1)-(2)

456 6.38*

(0.04)

6.34*

(0.04)

0.04

(0.06)

626 5.10*

(0.04)

5.09*

(0.04)

0.01

(0.06)

720 5.63*

(0.06)

5.75*

(0.06)

-0.12

(0.08)

723 5.63*

(0.03)

6.02*

(0.03)

-0.40*

(0.05)

738 5.78*

(0.05)

5.93*

(0.05)

-0.15*

(0.07)

* - Significant at the 5% level

** - Significant at the 10% level 
27

Table IV - Price and Quantity Effects of Terminated Dumping and Countervailing Duty Cases

Price of Subject Quantity of Subject Quantity of All Other Price of Subject Quantity of Subject Quantity of Non-Subject

Case Year

Befor

e (1)

Inv.

(2)

Year

After

(3)

Year

Before

(4)

Inv.

(5)

Year

After

(6)

Year

Before

(7)

Inv.

(8)

Year

After

(9)

Subject

(1)-(2)

Subject

(1)-(3)

Subject

(2)-(3)

Subject

(4)-(5)

Subject

(4)-(6)

Subject

(5)-(6)

All

Other

(7)-(8)

All

Other

(7)-(9)

All

Other

(8)-(9)

313 -0.38*

(0.16) 

-0.56*

(0.23)

-0.50*

0.16 

-0.22 

(0.22)

-0.17 

(0.33)

0.20 

(0.34)

-0.42 

(0.37)

-0.30 

(0.52)

-0.90*

(0.36) 

0.18 

(0.24)

0.11 

(0.19) 

-0.07 

(0.24) 

-0.06 

(0.32) 

-0.43 

(0.33)

-0.37 

(0.32)

-0.12 

(0.53)

0.48 

(0.41) 

0.60 

(0.53) 

438 3.44 

(2.95)

3.31 

(2.90)

2.98 

(2.76)

16.89*

(4.36) 

17.23*

(4.31) 

17.77*

(4.25) 

-1.98 

(4.35)

-1.25 

(4.33)

-0.05 

(4.26)

0.13 

(0.09)

0.46**

(0.26) 

0.33**

(0.19) 

-0.33*

(0.11)

-0.88*

(0.15) 

-0.54*

(0.10) 

-0.73*

(0.13) 

-1.93*

(0.22) 

-1.20*

(0.17) 

463 0.19 

(0.34)

0.13 

(0.67)

0.13 

(0.32)

-1.81 

(1.88)

-1.99 

(4.71)

-1.40 

(1.89)

-0.56*

(0.27) 

0.71 

(0.69)

-0.23 

(0.27)

 0.06 

(0.75)

0.06 

(0.18)

0.00 

(0.73)

0.18 

(4.90)

-0.41 

(1.47)

-0.59 

(4.80)

-1.28**

(0.73) 

-0.33**

(0.20) 

0.95 

(0.72) 

495 0.05 

(0.15)

-0.15 

(0.49)

0.15 

(0.16)

0.22 

(0.14)

0.49**

(0.29) 

0.38*

(0.19) 

-0.26*

(0.08)

-0.67*

(0.21)

-0.07 

(0.08)

0.20 

(0.45)

-0.10 

(0.14)

-0.30 

(0.45)

-0.27 

(0.26)

-0.16 

(0.11)

0.11 

(0.25) 

0.41*

(0.20)

-0.19*

(0.08) 

-0.60*

(0.21)

496 -0.15*

(0.05)

-0.41*

(0.11)

-0.29*

(0.11)

0.43*

(0.20) 

0.36 

(0.55) 

1.22*

(0.25) 

-0.85*

(0.22)

-2.31*

(0.65)

-1.46 

(0.38)

0.27*

(0.11) 

0.15* 

(0.08)

-0.12 

(0.15)

0.07 

(0.52)

-0.80* 

(0.20) 

-0.87**

(0.49) 

1.47*

(0.48)

0.61*

(0.20) 

-0.86*

(0.34) 

526 0.00 

(0.06)

0.00 

(0.06)

0.00 

(0.04)

-0.07 

(0.33)

-0.05 

(0.63) 

-0.56 

(0.71)

-1.17* 

(0.31) 

0.12 

(0.35)

0.85*

(0.29) 

-0.03

(0.05)

-0.03

(0.06)

0.00 

(0.07)

-0.02 

(0.50)

0.50 

(0.55) 

0.52 

(0.37)

-1.30*

(0.37) 

-2.02*

(0.32) 

-0.73*

(0.36) 

549 -0.35 

(0.67)

-0.25 

(0.82)

-0.32 

(0.32)

0.03 

(0.58)

-2.01 

(1.46) 

-1.26 

(1.14) 

-0.14 

(0.19)

0.67**

(0.38) 

0.47*

(0.15) 

-0.10 

(1.35)

-0.03 

(0.71)

0.07 

(0.85) 

2.04 

(1.47) 

1.29 

(1.14) 

-0.75 

(1.00)

-0.81 

(0.51) 

-0.61*

(0.27) 

0.19 

(0.34) 

623 -0.02 

(0.07)

-0.16 

(0.13)

-0.07 

(0.08)

0.66*

(0.12)

0.74* 

(0.35) 

0.88*

(0.13)

0.06 

(0.14)

0.23 

(0.41)

-0.05 

(0.22)

0.14 

(0.13)

0.05 

(0.05) 

-0.09 

(0.13) 

-0.09 

(0.35)

-0.22**

(0.13) 

-0.14 

(0.35) 

-0.17 

(0.34) 

0.11 

(0.14)

0.28 

(0.28) 

628 -0.01 

(0.14)

0.05 

(0.39)

0.37

(0.83)

-1.67*

(0.73)

-0.06 

(0.76) 

0.43 

(0.76)

-0.09 

(0.04)

-0.06 

(0.06)

0.43 

(0.76)

-0.05 

(0.39)

-0.38 

(0.82)

-0.33 

(0.49)

-1.61*

(0.81) 

-2.10*

(0.75) 

-0.49 

(0.75) 

-0.32 

(0.07) 

-0.09 

(0.07) 

-0.56 

(0.05) 

* - Significant at the 5% level

** - Significant at the 10% level 
28

Table IV - Price and Quantity Effects of Terminated Dumping and Countervailing Duty Cases (cont.)

Price of Subject Quantity of Subject Quantity of All Other Price of Subject Quantity of Subject Quantity of Non-Subject

Case Year

Before

(1)

Inv.

(2)

Year

After

(3)

Year

Befor

e

(4)

Inv.

(5)

Year

After

(6)

Year

Before

(7)

Inv.

(8)

Year

After

(9)

Subject

(1)-(2)

Subject

(1)-(3)

Subject

(2)-(3)

Subject

(4)-(5)

Subject

(4)-(6)

Subject

(5)-(6)

All

Other

(7)-(8)

All

Other

(7)-(9)

All

Other

(8)-(9)

629 0.10 

(0.17)

-0.07 

(0.15)

-0.16 

(0.15)

-0.17*

(0.07)

-0.06 

(0.09)

0.20*

(0.10)

-0.05

(0.04)

0.02 

(0.04)

0.09**

(0.05) 

0.18 

(0.18)

0.26 

(0.21)

0.09 

(0.17) 

-0.22*

(0.09)

-0.37*

(0.09) 

-0.15**

(0.09) 

-0.05 

(0.05)

-0.14*

(0.06)

-0.08**

(0.05) 

630 -0.09 

(0.07)

-0.13 

(0.09)

-0.25*

(0.09) 

-0.19 

(0.14)

-0.07*

(0.15) 

0.16 

(0.16)

-0.12 

(0.08)

-0.09 

(0.10)

-0.08 

(0.15)

 0.04 

(0.09)

0.16**

(0.09) 

0.11 

(0.10)

-0.12 

(0.16) 

-0.34* 

(0.15) 

-0.22 

(0.16) 

-0.03 

(0.07)

-0.04 

(0.11)

-0.01 

(0.10) 

631 -0.23**

(0.12) 

-0.26**

(0.15) 

0.06 

(0.14)

-0.14 

(0.25)

-0.63*

(0.26)

-0.22 

(0.26)

-0.30**

(0.18) 

-0.32 

(0.20)

-0.12 

(0.21) 

0.03 

(0.17)

-0.30**

(0.16) 

-0.33*

(0.16) 

0.49**

(0.29) 

0.08 

(0.35) 

-0.41 

(0.30) 

0.02 

(0.19)

-0.42 

(0.28)

-0.44 

(0.28)

647 0.05 

(0.18)

0.11

(0.27)

0.28 

(0.20)

0.90 

(2.83)

1.80 

(4.54) 

4.25 

(4.40)

0.43*

(0.07)

0.44*

(0.10)

0.56* 

(0.13) 

-0.06 

(0.30)

-0.23 

(0.23) 

-0.17 

(0.30)

-0.90 

(4.66)

-3.35 

(4.30) 

-2.45 

(4.71) 

-0.01 

(0.09) 

-0.13 

(0.11)

-0.12 

(0.11) 

658 -0.01 

 (0.04)

-0.01 

(0.07)

-0.01 

(0.11)

0.09 

(0.13)

-0.05 

(0.11) 

0.11 

(0.13)

-0.22*

(0.08) 

0.05 

(0.12)

0.23 

(0.18) 

-0.00 

(0.06) 

0.00 

(0.09) 

0.01 

(0.07) 

 0.13 

(0.14)

-0.02 

(0.13) 

-0.16 

(0.14) 

-0.27* 

(0.11) 

-0.45*

(0.15) 

-0.17 

(0.12) 

686 0.17*

(0.04)

0.14*

(0.04)

0.25*

(0.04)

0.61*

(0.10)

0.82*

(0.44) 

1.17*

(0.29)

0.31*

(0.09) 

0.24 

(0.17)

0.23 

(0.21)

0.03 

(0.05)

-0.08*

(0.04) 

-0.10*

(0.05) 

-0.21

(0.18) 

-0.56*

(0.22)

-0.35*

(0.13) 

0.07 

(0.13)

 0.08 

(0.15) 

0.01 

(0.12) 

767 0.09 

(0.14) 

0.21 

(0.33)

0.30 

(0.21)

1.92 

(1.52)

4.23 

(4.10) 

5.80* 

(1.74) 

NA NA NA -0.13 

(0.30)

-0.22**

(0.14) 

-0.10 

(0.30) 

-2.32 

(4.08)

-3.88*

(1.61) 

-1.57 

(4.09) 

NA NA NA 

* - Significant at the 5% level

** - Significant at the 10% level 

NA - Not Applicable