메뉴 건너뛰기




Volumn 54, Issue 3, 1994, Pages 683-690

Who Voted For Smoot-Hawley?

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0040096390     PISSN: 00220507     EISSN: 14716372     Source Type: Journal    
DOI: 10.1017/S0022050700015084     Document Type: Note
Times cited : (14)

References (22)
  • 1
    • 84972448393 scopus 로고
    • (New York, 1935); and Robert Pastor, Congress and the Politics of United States Foreign Economic Policy, 1929-1976 Berkeley, CA
    • 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).
    • (1980) Politics, Pressures and the Tariff
    • Schattschneider, E.E.1
  • 2
    • 0011519864 scopus 로고
    • The Political Economy of the Smoot-Hawley Tariff
    • R.L. Ransom, P.H. Lindert, and R. Sutch, eds., Greenwich, CT
    • 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.
    • (1989) Research in Economic History , vol.12 , pp. 1-43
    • Eichengreen, B.1
  • 3
    • 84972338119 scopus 로고
    • See, for instance, the speech printed in Herbert Hoover
    • Washington, DC
    • See, for instance, the speech printed in Herbert Hoover, The Future of Our Foreign Trade (Washington, DC, 1926).
    • (1926) The Future of Our Foreign Trade
  • 7
    • 84972282249 scopus 로고    scopus 로고
    • 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
    • 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
    • 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.
    • However, party affiliation appears to have dominated all urban-rural interests
  • 8
    • 84972282229 scopus 로고    scopus 로고
    • Only 25 Republicans are listed in Table 1
    • 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.
    • This is because we did not include
  • 10
    • 84972228926 scopus 로고
    • June 14 as not voting, but paired. We counted as a Democrat the one Farmer-Labor representative
    • 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.
    • (1930) We included members who were listed in the Congressional Record , pp. 10789-10790
  • 11
    • 84972416887 scopus 로고
    • (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
    • 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.
    • (1929) Once again, we included members who were listed in the Congressional Record , pp. 2106
  • 12
    • 84973078463 scopus 로고
    • U.S. Department of Commerce, Bureau of the Census
    • Reports by States (Washington, DC, 1932)
    • 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).
    • (1929) Fifteenth Census of the United States, Biennial Census of Manufactures , pp. 3
  • 13
    • 84972330292 scopus 로고
    • We used the definitions of Congressional districts given in Kenneth Martis
    • 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
    • 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
  • 14
    • 84972330279 scopus 로고    scopus 로고
    • 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
    • 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.
    • These results are available from the authors
  • 16
    • 84972373653 scopus 로고    scopus 로고
    • 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 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
    • 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.
    • Washington: 4th and 5th
  • 18
    • 84972219550 scopus 로고
    • The unemployment data are from the U.S. Department of Commerce, Bureau of the Census
    • Washington, DC
    • 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).
    • (1931) Fifteenth Census of the United States, Unemployment , vol.1
  • 19
    • 84936374946 scopus 로고
    • Patterns of Congressional Voting
    • For a thorough description of how these series were generated
    • 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.
    • (1991) American Journal of Political Science , vol.35 , pp. 228-278
    • Poole, K.T.1    Rosenthal, H.2
  • 20
    • 0003713797 scopus 로고
    • For a discussion of the condition index
    • New York), pp. 153; and George G. Judge, et al., Introduction to the Theory and Practice of Econometrics (New York, 1988), p. 872.
    • 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.
    • (1980) Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , pp. 105
    • Belsley, D.A.1    Kuh, E.2    Roy, E.W.3
  • 22
    • 0000368475 scopus 로고
    • Qualitative Response Models: A Survey
    • 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.
    • (1981) Journal of Economic Literature , vol.19 , pp. 1483-1536
    • Amemiya, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.