Titlebook: Bad Breaks in Real GDP and Employment; Exploring the Persis Harrison C. Hartman Book 2024 The Editor(s) (if applicable) and The Author(s),

高原

Results from Estimating and Projecting Trends for Recent Recessions,U.S. real GDP. This chapter uses simplistic estimates of trend, with only (a) an intercept or a constant, (b) a time trend multiplied by a coefficient, and (c) an error term or a residual as the only variables on the right side of the regression equation, with somewhat more complex regression equati

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Derived Demand for Labor and Breaks in Trend: Does Hysteresis in Employment Imply Hysteresis in theeal GDP, this chapter begins seeking explanations by investigating whether decreases in AD have also led to downward breaks in U.S. employment. Using the natural log of total nonfarm payroll employment in the U.S. as the measure of employment, this chapter finds evidence of one or two breaks in U.S.

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Similar Results from an Extended Sample Period and Concluding Remarks to Guide Future Work,w that negative AD shocks can have long-lasting consequences, thus enhancing robustness. To begin to explain the importance of AD, this chapter notes that rising economic inequality could be a factor. Keynes’ observation that income saved today is not necessarily spent tomorrow can help to improve o

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Haphazard

Bildung, Leistung und Kompetenzt Keynesian school of thought to the discussion. This book would probably be best considered as a work in the post Keynesian school. The chapter briefly discusses the equation of exchange. Following this preliminary material, this chapter discusses some econometric work related to the duration of ne

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Bildung, Leistung und KompetenzU.S. real GDP. This chapter uses simplistic estimates of trend, with only (a) an intercept or a constant, (b) a time trend multiplied by a coefficient, and (c) an error term or a residual as the only variables on the right side of the regression equation, with somewhat more complex regression equati

Prologue

Immer mehr, immer länger, immer höher?ibuted, normally distributed residuals with zero mean, and the use of stationary variables. Given concerns about violations of standard regression assumptions in Chapter . regressions, this chapter introduces equations less likely to violate such assumptions. Rather than use either total real GDP or

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