Showing 1 - 10 of 14
We estimate location values for single family houses by local polynomial regressions (LPR), a semi-parametric procedure, using a standard housing price and characteristics dataset. As a logical extension of the LPR method, we interpolate land values for every property in every year and validate...
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"State per capita incomes became more disperse during the contraction phase of the Great Depression, and less disperse during the recovery phase. We investigate the effects of geography, industry structure, bank failures and fiscal policies on state income growth during each phase. We find that...
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Almost 80 percent of capital goods production in the world is concentrated in 10 countries. Poor countries import most of their capital goods. We argue that international trade in capital goods has quantitatively important effects on economic development through two channels: (i) capital...
Persistent link: https://www.econbiz.de/10010774313
We use cross-country data and instrumental variables widely used in the literature to show that (i) institutions (such as property rights and the rule of law) do not explain industrialization and (ii) agrarian countries and industrial countries have entirely different determinants for income...
Persistent link: https://www.econbiz.de/10011124402
This paper provides a theory to explain the paradoxical features of the great housing boom in China —the persistently faster-than-GDP housing price growth, exceptionally high capital returns, and excessive vacancy rates. The expectation that high capital returns driven mainly by resource...
Persistent link: https://www.econbiz.de/10011027343
Low sex ratios are often equated with unfavorable marriage prospects for women, but in France after World War 1, the marriage probability of single females rose 50%, despite a massive drop in the male/female ratio. We conjecture that the war-time birth-rate bust induced an abnormal postwar...
Persistent link: https://www.econbiz.de/10011261282
We construct monthly economic-activity indices for 51 U.S. metropolitan statistical areas for 1990 to 2014. Each index is computed via a dynamic factor model that includes 14 variables measuring various aspects of economic activity in a metro area. We estimate the dynamic factor model using the...
Persistent link: https://www.econbiz.de/10011027333