Putting the Lid on Lobbying: Tariff Structure and Long-Term Growth when Protection is for Sale

It has long been recognized that a country's tariffs are the endogenous outcome of a rent-seeking game whose equilibrium reflects national institutions. Thus, the structure of tariffs across industries provides insights into how institutions, as reflected in tariff policies, affect long-term growth. We start with the commonplace perception among politicians that protection of skill-intensive industries generates a growth-enhancing externality. Modifying the Grossman-Helpman protection for sale model to allow for this, we make two predictions. First, a country with good institutions will tolerate high average tariffs provided tariffs are biased towards skill-intensive industries. Second, there need not be any relationship between average tariffs and good institutions. Using data for 17 manufacturing industries in 59 countries over approximately 25 years, we find that average tariffs are uncorrelated with output growth and that the skill-bias of tariff structure is positively correlated with output growth. We interpret this to mean that countries grow faster if they are able and willing to put a lid on the rent-seeking behaviour of special interest lobby groups. We show that our results are not compatible with explanations that appeal to (1) externalities per se, (2) initial industrial structure that is skewed towards skill-intensive industries, or (3) the effects of broader institutions such as rule of law and control of corruption.

Stream VByte: Faster Byte-Oriented Integer Compression

Arrays of integers are often compressed in search engines. Though there are many ways to compress integers, we are interested in the popular byte-oriented integer compression techniques (e.g., VByte or Google's Varint-GB). They are appealing due to their simplicity and engineering convenience. Amazon's varint-G8IU is one of the fastest byte-oriented compression technique published so far. It makes judicious use of the powerful single-instruction-multiple-data (SIMD) instructions available in commodity processors. To surpass varint-G8IU, we present Stream VByte, a novel byte-oriented compression technique that separates the control stream from the encoded data. Like varint-G8IU, Stream VByte is well suited for SIMD instructions. We show that Stream VByte decoding can be up to twice as fast as varint-G8IU decoding over real data sets. In this sense, Stream VByte establishes new speed records for byte-oriented integer compression, at times exceeding the speed of the memcpy function. On a 3.4GHz Haswell processor, it decodes more than 4 billion differentially-coded integers per second from RAM to L1 cache

Spatially Explicit Estimates of Crop Rotation Responses

Crop Production/Industries, Environmental Economics and Policy, Land Economics/Use,