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1
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84972448393
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(New York, 1935); and Robert Pastor, Congress and the Politics of United States Foreign Economic Policy, 1929-1976 Berkeley, CA
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See E.E. Schattschneider, Politics, Pressures and the Tariff (New York, 1935); and Robert Pastor, Congress and the Politics of United States Foreign Economic Policy, 1929-1976 (Berkeley, CA, 1980).
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(1980)
Politics, Pressures and the Tariff
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Schattschneider, E.E.1
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2
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0011519864
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The Political Economy of the Smoot-Hawley Tariff
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R.L. Ransom, P.H. Lindert, and R. Sutch, eds., Greenwich, CT
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Barry Eichengreen, “The Political Economy of the Smoot-Hawley Tariff,” in R.L. Ransom, P.H. Lindert, and R. Sutch, eds., Research in Economic History (Greenwich, CT, 1989), vol. 12, pp. 1–43.
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(1989)
Research in Economic History
, vol.12
, pp. 1-43
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Eichengreen, B.1
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3
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84972338119
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See, for instance, the speech printed in Herbert Hoover
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Washington, DC
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See, for instance, the speech printed in Herbert Hoover, The Future of Our Foreign Trade (Washington, DC, 1926).
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(1926)
The Future of Our Foreign Trade
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-
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4
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84972145111
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Republican Platform [of 1928] as reprinted
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1968 (New York, 1971)
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“Republican Platform [of 1928]” as reprinted in Arthur M. Schlesinger, Jr., Fred L. Israel, and William P. Hansen, eds., History of American Presidential Elections, 1789-1968 (New York, 1971), vol. 3, p. 2627.
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(1789)
History of American Presidential Elections
, vol.3
, pp. 2627
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-
Schlesinger, A.M.1
Israel, F.L.2
Hansen, W.P.3
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7
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-
84972282249
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Although Eichengreen does not specifically mention divisions between urban and rural interests, one might expect that urban interests would be protariff, whereas rural interests would be antitariff
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For example, only two Republicans representing urban districts voted against final passage, whereas only two Democrats representing urban districts voted in favor of final passage of the bill
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Although Eichengreen does not specifically mention divisions between urban and rural interests, one might expect that urban interests would be protariff, whereas rural interests would be antitariff. However, party affiliation appears to have dominated all urban-rural interests. For example, only two Republicans representing urban districts voted against final passage, whereas only two Democrats representing urban districts voted in favor of final passage of the bill.
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However, party affiliation appears to have dominated all urban-rural interests
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-
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8
-
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84972282229
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Only 25 Republicans are listed in Table 1
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Only 25 Republicans are listed in Table 1. This is because we did not include William H. Sproul (from Kansas) who voted present on initial and no on final passage and Hubert H. Peavey (from Wisconsin) whose final vote was no, but whose initial vote we were unable to determine.
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This is because we did not include
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-
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10
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84972228926
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June 14 as not voting, but paired. We counted as a Democrat the one Farmer-Labor representative
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We included members who were listed in the Congressional Record (June 14, 1930, pp. 10789–10790) as not voting, but paired. We counted as a Democrat the one Farmer-Labor representative.
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(1930)
We included members who were listed in the Congressional Record
, pp. 10789-10790
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-
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11
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84972416887
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(May 28) as not voting, but paired. Sometimes a member was replaced between the initial and final votes. If the replacement was from the same party, then we proceeded as if the votes were cast by the initial member. Only James M. Beck, a Republican representing the 1st District in Pennsylvania, voted no on the first vote and yes on the second vote. He was excluded from the analysis
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Once again, we included members who were listed in the Congressional Record (May 28, 1929, p. 2106) as not voting, but paired. Sometimes a member was replaced between the initial and final votes. If the replacement was from the same party, then we proceeded as if the votes were cast by the initial member. Only James M. Beck, a Republican representing the 1st District in Pennsylvania, voted no on the first vote and yes on the second vote. He was excluded from the analysis.
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(1929)
Once again, we included members who were listed in the Congressional Record
, pp. 2106
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-
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12
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84973078463
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U.S. Department of Commerce, Bureau of the Census
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Reports by States (Washington, DC, 1932)
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U.S. Department of Commerce, Bureau of the Census, Fifteenth Census of the United States, Biennial Census of Manufactures: 1929, Vol. 3: Reports by States (Washington, DC, 1932).
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(1929)
Fifteenth Census of the United States, Biennial Census of Manufactures
, pp. 3
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-
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13
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84972330292
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We used the definitions of Congressional districts given in Kenneth Martis
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1789-1983 (New York, 1982) and assigned industries to SIC categories using the classifications in Albert Niemi, Jr., State and Regional Patterns in American Manufacturing: 1860-1900 (Westport, CT
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We used the definitions of Congressional districts given in Kenneth Martis, The Historical Atlas of United States Congressional Districts: 1789-1983 (New York, 1982) and assigned industries to SIC categories using the classifications in Albert Niemi, Jr., State and Regional Patterns in American Manufacturing: 1860-1900 (Westport, CT, 1974).
-
(1974)
The Historical Atlas of United States Congressional Districts
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-
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14
-
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84972330279
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The thrust of Eichengreen's argument is best represented by the classification of two-digit SIC industries into heavy and light manufacturing used in the analysis presented in Tables 2 and 3
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If Eichengreen's coalition analysis is to be meaningfully distinguished from that of Schattschneider's log-rolling analysis, then Eichengreen's coalitions must be made up of fairly broad industry groups. However, we also performed probit and ordered probit estimations in which the SIC variables were disaggregated by industry. Including disaggregated industry variables at the two-digit SIC level didnot add significantly to the percentage of the vote correctly predicted
-
The thrust of Eichengreen's argument is best represented by the classification of two-digit SIC industries into heavy and light manufacturing used in the analysis presented in Tables 2 and 3. If Eichengreen's coalition analysis is to be meaningfully distinguished from that of Schattschneider's log-rolling analysis, then Eichengreen's coalitions must be made up of fairly broad industry groups. However, we also performed probit and ordered probit estimations in which the SIC variables were disaggregated by industry. Including disaggregated industry variables at the two-digit SIC level didnot add significantly to the percentage of the vote correctly predicted. These results are available from the authors.
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These results are available from the authors
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-
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16
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84972373653
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We considered the following districts to be northern-border agriculture: all districts in the states of Idaho, Montana, North Dakota, New Hampshire, Vermont, and Maine
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in Minnesota: 1st, 2nd, 6th, 8th, and 9th; in Wisconsin: 3rd, 7th, 8th, 9th, 10th, and 11th; in Michigan: 4th, 7th, 10th, 11th, and 12th; in Ohio: 4th, Sth, 8th, 13th, and 17th; in Pennsylvania: 27th and 28th; and in New York: 31st, 32nd, 36th, and 37th. We also tried an alternative definition of this variable, which, in addition to the districts included in BORDER AGRICULTURE, added all of the districts in South Dakota, Colorado, and Arizona in order to include all of the districts in the states in which, according to Eichengreen (“Political Economy,” p. 8): “the foreclosures of the second half of the 1920s were most heavily concentrated. [and which were] the sources of strongest pressure for agrarian relief.” Because this alternative variable was consistently insignificant, it is not included in our results
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We considered the following districts to be northern-border agriculture: all districts in the states of Idaho, Montana, North Dakota, New Hampshire, Vermont, and Maine; in Washington: 4th and 5th; in Minnesota: 1st, 2nd, 6th, 8th, and 9th; in Wisconsin: 3rd, 7th, 8th, 9th, 10th, and 11th; in Michigan: 4th, 7th, 10th, 11th, and 12th; in Ohio: 4th, Sth, 8th, 13th, and 17th; in Pennsylvania: 27th and 28th; and in New York: 31st, 32nd, 36th, and 37th. We also tried an alternative definition of this variable, which, in addition to the districts included in BORDER AGRICULTURE, added all of the districts in South Dakota, Colorado, and Arizona in order to include all of the districts in the states in which, according to Eichengreen (“Political Economy,” p. 8): “the foreclosures of the second half of the 1920s were most heavily concentrated. [and which were] the sources of strongest pressure for agrarian relief.” Because this alternative variable was consistently insignificant, it is not included in our results.
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Washington: 4th and 5th
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-
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18
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84972219550
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The unemployment data are from the U.S. Department of Commerce, Bureau of the Census
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Washington, DC
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The unemployment data are from the U.S. Department of Commerce, Bureau of the Census, Fifteenth Census of the United States, Unemployment, Volume 1 (Washington, DC, 1931).
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(1931)
Fifteenth Census of the United States, Unemployment
, vol.1
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-
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19
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84936374946
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Patterns of Congressional Voting
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For a thorough description of how these series were generated
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For a thorough description of how these series were generated, see Keith T. Poole and Howard Rosenthal, “Patterns of Congressional Voting,” American Journal of Political Science, 35 (Feb. 1991), pp. 228–278.
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(1991)
American Journal of Political Science
, vol.35
, pp. 228-278
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Poole, K.T.1
Rosenthal, H.2
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20
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0003713797
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For a discussion of the condition index
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New York), pp. 153; and George G. Judge, et al., Introduction to the Theory and Practice of Econometrics (New York, 1988), p. 872.
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For a discussion of the condition index, see David A. Belsley, Edwin Kuh, and Roy E. Welsch, Regression Diagnostics: Identifying Influential Data and Sources of Collinearity (New York, 1980), pp. 105 and 153; and George G. Judge, et al., Introduction to the Theory and Practice of Econometrics (New York, 1988), p. 872.
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(1980)
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
, pp. 105
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-
Belsley, D.A.1
Kuh, E.2
Roy, E.W.3
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22
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-
0000368475
-
Qualitative Response Models: A Survey
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The test statistic used is two times the difference between the likelihood functions, as discussed Dec.
-
The test statistic used is two times the difference between the likelihood functions, as discussed in Takeshi Amemiya, “Qualitative Response Models: A Survey,” Journal of Economic Literature, 19 (Dec. 1981), pp. 1483–1536.
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(1981)
Journal of Economic Literature
, vol.19
, pp. 1483-1536
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-
Amemiya, T.1
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