Responding to the Coffee Crisis: What Can We Learn from Price Dynamics

We develop a semi-structural price vector autoregression to capture coffee price dynamics over various time horizons. The presence of the International Coffee Agreement is permitted to alter supply responses to price signals through yield and planting effects. In the short run, the ICA caused Brazilian farm prices to become disconnected from international prices. In the long run, the ICA promoted supply response by providing a stable environment in which producers could use current price information to predict future prices. In the intermediate run, it muted supply response by necessitating an institutional price wedge between wholesale and farm level prices. In net, the ICA created a price cycle that does not exist in non-ICA periods. Oxfam's proposal to burn 300 million pounds of coffee will provide temporary relief to farmers, but cannot be used repeatedly as a long term strategy. The low coffee prices experienced since the disintegration of the ICA may be due to the interaction of supply lags, a shift in the composition of coffee demand, and low price response due to price uncertainty. No evidence of asymmetric price transmission is found.

Returns to Schooling, Institutions and Heterogeneous Diploma Effects: An Expanded Mincerian Framework applied to Mexico

We hypothesize two sources for sheepskin effects--signaling, and diplomas tied to jobs with downwards rigid wages. These theories have implications for diploma effects not only in the first, but also the second moments of the Mincerian earnings distribution that we are able to identify using a flexible econometric specification. Idiosyncrasies in Mexican labor market and educational institutions offer a natural experiment on which to train this methodology and test these theories. Correcting for heterogeneity in diplomas, we find no evidence of sheepskin effects, except on graduation from primary school. We find compelling evidence that returns to education (in both moments) are linked with labor market institutions and job-specific diplomas in the manner we hypothesize. Our econometric structure corrects for sample selectivity due to unemployment and allows us to observe behavior on the quantity axis of a labor market segmented by sheepskin effects. We also analyze the covariates of hours worked which helps to explain observed patterns in hourly earnings.

Price Dynamics in a Vertical Sector: The Case of Butter

We develop a reduced-form model of price transmission in a vertical sector, allowing for refined asymetric, contemporaneous and lagged, own and cross price effects. The model is used to analyze wholesale-retail price dynamics in the US butter market. The analysis provides strong evidence of asymmetric price transmissions. It documents the complex nature of nonlinear price dynamics in a vertical sector and its implications for the distribution of future prices. It finds evidence that the asymmetric response to shocks is stronger in the sort run for retail prices, and in the longer run for wholesale prices.

Inequality and Heterogeneous Returns to Education in Mexico (1992-2002)

Within the attempts to understand Mexican economic inequality, returns to education have received a great deal of attention. The driving question has been: why are Mexican wages so unequal? This paper argues that not only the distribution of human capital matters, but also sociodemographic variables, which have their own dynamics and complex interactions with the former. A three-equation maximum likelihood specification in which employment, hours worked and log-wages, as well as their joint variance matrix is proposed, generalizing the Mincerian specification. The resulting is a complex story, where income profiles depend upon particular characteristics.

Inequality and Heterogeneous Returns to Education in Mexico (1992-2002)

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Is Employment Globalizing?

We investigate the claim that national labor markets have become more globally interconnected in recent decades. We do so by deriving estimates over time of three different notions of interconnection: (i) the share of labor demand that is export induced (i.e., all labor demand created by foreign entities buying products exported by the home country)—we provide estimates for 40 countries; (ii) the share of workers employed in sectors producing tradable goods or services—68 countries; and (iii) the ratio of the number of jobs that are either located in a tradable sector, or that are involved in producing services that are required by these tradable sectors, to all jobs in the economy, which we call the trade-linked employment share—40 countries. Our estimates lead to the conclusion that the evidence of a large increase in the interconnections between national labor markets is far weaker than commonly asserted: levels of interconnectivity, and the direction of changes over time, vary across notions of interconnection and countries. The main reasons for this are labor- displacing productivity growth in tradable sectors of each economy and the diminishing fraction of national labor forces hired into manufacturing jobs worldwide. We also discuss the implications of our results for different policy debates that each of the three measures is associated with: international coordination of macroeconomic policies (export-induced labor demand), currency devaluations (share of workers producing tradables), and education and labor protection (trade-linked share)

The Estimation of Production Functions with Monetary Values

For decades, the literature on the estimation of production functions has focused on the elimination of endogeneity biases through different estimation procedures to obtain the correct factor elasticities and other relevant parameters. Theoretical discussions of the problem correctly assume that production functions are relationships among physical inputs and output. However, in practice, they are most often estimated using deflated monetary values for output (value added or gross output) and capital. This introduces two additional problems—an errors-invariables problem, and a tendency to recover the factor shares in value added instead of their elasticities. The latter problem derives from the fact that the series used are linked through the accounting identity that links value added to the sum of the wage bill and profits. Using simulated data from a cross-sectional Cobb-Douglas production function in physical terms from which we generate the corresponding series in monetary values, we show that the coefficients of labor and capital derived from the monetary series will be (a) biased relative to the elasticities by simultaneity and by the error that results from proxying physical output and capital with their monetary values; and (b) biased relative to the factor shares in value added as a result of a peculiar form of omitted variables bias. We show what these biases are and conclude that estimates of production functions obtained using monetary values are likely to be closer to the factor shares than to the factor elasticities. An alternative simulation that does not assume the existence of a physical production function confirms that estimates from the value data series will converge to the factor shares when cross-sectional variation in the factor prices is small. This is, again, the result of the fact that the estimated relationship is an approximation to the distributional accounting identity

Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo

Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that were already identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total mass M>70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz orbital frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place an upper limit for the merger rate density of high-mass binaries with eccentricities 0<e≤0.3 at 0.33 Gpc−3 yr−1 at 90\% confidence level

Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM