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Table 7 Alternative Phillips Curve Estimates
"... In PAGE 44: ...2 Sensitivity Analysis Tables 7 and 8 summarize results from several modifications to the benchmark specification. Table7 shows results from changes in the estimation procedure (weighting the observations and alternative IV estimators); changes in the wage and unemployment variables (adjustments for changing demographics, industry mix, etc.); changes in the measure and treatment of productivity; and changes in the assumed timing of the variables.... ..."
Table 10 Demographic Variables and the Phillips Curve
"... In PAGE 49: ... The first such regressions examine the role of demographics and education, a theme recently emphasized by Shimer (1998). Table10 reports the results of regressions which include, either individually or together, the percent of high school dropouts, the percent of college graduates, the percent white in the work force, the percent female in the workforce, and the percent of the workforce aged between 25 and 54 years. These variables and the unemployment rate are measured in percentage points.... ..."
Table 11 Industry Characteristics and the Phillips Curve
"... In PAGE 51: ... 9.3 Industry Characteristics and Temporary Help Table11 reports results for regressions including industry characteristics and the relative size of the temporary help industry in the state. The results suggest that increases in the share of retail trade and services are associated with increases in the NAIRU, relative to manufacturing, but these effects are not statistically significant.... ..."
Table 12 Government Policy Variables and the Phillips Curve
"... In PAGE 51: ...9 9.4 Government Policies Table12 examines the effect of state labor market policies on the NAIRU. These include the percent of the prime aged workforce on social security disability or SSI, the minimum wage, the growth of the minimum wage, and the unemployment insurance replacement rate.... ..."
Table 7 Phillips Curve Estimates (1) (2) (3)
Table 9: Stability of Phillips Curve through Time and Space
Table 4 Phillips Curve Estimates from Macroeconomic Data Wage Inflation Equation
"... In PAGE 31: ... Table4 indicates that there is little evidence of changes in the slope of the wage Phillips curve. The p-values for the test of the null hypothesis of no change in the slope ranges from 0.... ..."
Table 5 Alternative Phillips Curve Estimates from Macroeconomic Data Wage Inflation Equation
"... In PAGE 31: ... 5.2 Sensitivity Analysis Table5 summarizes results for 48 variations of the wage Phillips curves. Some of these variations are similar to the sensitivity checks reported in table 3, for example changing the definition of the wage series, changing the number of lags, etc.... ..."
Table 3 Alternative Phillips Curve Estimates from Macroeconomic Data Price Inflation Equation
"... In PAGE 25: ... 4.2 Sensitivity Analysis Table3 summarizes 36 alternative Phillips curves regressions that examine the sensitivity of the benchmark results in table 2. These regressions differ by: the price index used to measure inflation; the activity measure used; whether supply shock control variables are included; whether the error correction term and its lags are included; whether the log-level of the productivity adjusted real wage (the markup ) is included; and how many lags are included in the specifications.... In PAGE 27: ... This suggests that the estimated decline in the NAIRU is not a spurious consequence of neglecting feedback from wages to prices. Table3 also shows results for a specification that includes the markup of prices over productivity adjusted wages is included (or equivalently, when we include the log level of the productivity adjusted real wage). Including this variable reduces somewhat the estimated decline of the unemployment NAIRU, from 1.... ..."
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