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Working Paper
From Population Growth to TFP Growth
Using a firm-dynamics model that has been extended to include endogenous growth, we examine how population growth influences total factor productivity (TFP) growth. The most important theoretical result is that the shape of a business's productivity life-cycle profile determines the direction of the impact of population growth on TFP growth. Following that, the model is calibrated for Japan and the United States. The main finding of examining balanced growth paths (BGPs) with various rates of population growth is that the effect on TFP growth is sizable. Japan's expected decline in population ...
Working Paper
From Population Growth to TFP Growth
A slowdown in population growth causes a decline in business dynamism by increasing the share of old businesses. But how does it affect productivity growth? We answer this question by extending a standard firm dynamics model to include endogenous productivity growth. Theoretically, the growth rate of the size of surviving old businesses is a “sufficient statistic" for determining the direction and magnitude of the impact of population growth on TFP growth. Quantitatively, this effect is significant across balanced growth paths for the United States and Japan. TFP growth in the United States ...
Working Paper
From Population Growth to TFP Growth
A slowdown in population growth causes a decline in business dynamism by increasing the share of old businesses. But how does it affect productivity growth? We answer this question by extending a standard business dynamics model to include endogenous productivity growth. Theoretically, the growth rate of the size of surviving old businesses is a “sufficient statistic" for determining the direction and magnitude of the impact of population growth on productivity growth. Quantitatively, this effect is significant across balanced growth paths for the United States and Japan. TFP growth in the ...
Working Paper
Estimating Macroeconomic News and Surprise Shocks
The importance of understanding the economic effects of TFP news and surprise shocks is widely recognized in the literature. This paper examines the ability of the state-of-the-art VAR approach in Kurmann and Sims (2021) to identify responses to TFP news shocks and possibly surprise shocks in theory and practice. When applied to data generated from conventional New Keynesian DSGE models with shock processes that match key TFP moments, this estimator tends to be strongly biased, both in the presence of TFP measurement error and in its absence. This bias worsens in realistically small samples, ...
Working Paper
Estimating Macroeconomic News and Surprise Shocks
The importance of understanding the economic effects of TFP news and surprise shocks is widely recognized in the literature. A common VAR approach is to identify responses to TFP news shocks by maximizing the variance share of TFP over a long horizon. Under suitable conditions, this approach also implies an estimate of the surprise shock. We find that these TFP max share estimators tend to be strongly biased when applied to data generated from DSGE models with shock processes that match the TFP moments in the data, both in the presence of TFP measurement error and in its absence. ...
Working Paper
From Population Growth to TFP Growth
Using a firm-dynamics model that has been extended to include endogenous growth, we examine how population growth influences total factor productivity (TFP) growth. The most important theoretical result is that the growth rate of surviving old businesses is a "sufficient statistic" to determine the direction and the magnitude of the impact of population growth on TFP growth. Following that, the model is calibrated for Japan and the United States. The main finding of examining balanced growth paths (BGPs) with various rates of population growth is that the effect on TFP growth is sizable. ...
Working Paper
Jointly Estimating Macroeconomic News and Surprise Shocks
This paper clarifies the conditions under which the state-of-the-art approach to identifying TFP news shocks in Kurmann and Sims (2021, KS) identifies not only news shocks but also surprise shocks. We examine the ability of the KS procedure to recover responses to these shocks from data generated by a conventional New Keynesian DSGE model. Our analysis shows that the KS response estimator tends to be strongly biased even in the absence of measurement error. This bias worsens in realistically small samples, and the estimator becomes highly variable. Incorporating a direct measure of TFP news ...