The paper consider the skill-biased "share-altering" technical change hypothesis in a spatial general equilibrium model where skilled and unskilled individual may exhibit different preferences for local amenities. A main novelty - both for labour and urban economics- is that, under this...

I investigate causal machine learning (CML) methods to estimate effect heterogeneity by means of conditional average treatment effects (CATEs). In particular, I study whether the estimated effect heterogeneity can provide evidence for the theoretical labour supply predictions of Connecticut's...

It is well known that wages in large cities are higher than elsewhere. There is only little empirical evidence on the mechanisms behind this phenomena. One channel, that is discussed in the literature, is learning. Provided that individuals learn by interacting with one another, an urban wage...

This paper studies the implications of (endogenously) directed technical change for the design of non-linear labor income taxes in a Mirrleesian economy augmented to include endogenous technology development and adoption choices by firms. First, I identify conditions under which any progressive...

This paper applies functional regression to precise geo-coded register data to measure productivity spillovers from high-skilled workers. We use a smoothing splines estimator to model the spatial distribution of high-skilled workers as continuous curves. Our rich panel data allows us to address...

This paper provides evidence that labor reallocation from the manufacturing into the non-manufacturing sector causes an increase in sorting of high-skilled (low-skilled) workers into high-paying (low-paying) firms and thereby triggers a rise in wage inequality. I use data on 50% of all West...