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This study aimed to identify the factors that influence follicular output rate (FORT) and follicle-to-oocyte index (FOI) among infertile Vietnamese women, as described by the Poseidon classification of poor responders. This cross-sectional analysis includes women who received IVF/ICSI treatment at Hue University Hospital, Vietnam, between January 2017 and December 2019. The study population was divided into four groups: Group 1 (age < 35, AFC ≥ 5 and AMH ≥ 1.2 ng/mL, number of oocytes retrieved in the previous cycle ≤ 9), group 2 (age ≥ 35; AFC ≥ 5 and AMH ≥ 1.2 ng/mL, number of oocytes retrieved in the previous cycle ≤ 9), group 3 (age < 35; AFC < 5 and/or AMH < 1.2 ng/mL) and group 4 (age ≥ 35; AFC < 5 and/or AMH < 1.2 ng/mL). All of the patients underwent controlled ovarian stimulation utilizing GnRH antagonist. A total of 243 cases were recruited into groups 1 (n = 44), 2 (n = 33), 3 (n = 54), and 4 (n = 112). There were statistically significant differences between the four groups in terms of age, infertility type, menstrual cycle, body mass index (BMI) and waist-hip ratio (WHR), endocrine tests, and total retrieved oocytes (p 0.05). The average number of oocytes per participant was 7.27, with the highest number occurring in group 1 (10.77) and the lowest occurring in group 4 (5.59). There was a relationship between FORT and BMI (ß: -0.146, p=0.039), FSH starting dose (ß: 0.146, p=0.030), and AMH (ß:0.166, p=0.015). No statistically significant correlation was detected between FOI and other variables. The starting dose of FSH for ovarian stimulation and AMH concentration were positively associated with FORT in individuals with a poor prognosis, whereas BMI was negatively correlated with FORT; No other parameters were found to correlate with FOI.

We develop a quantitative framework to explain the relationship between aggregate/sector-level total factor productivity (TFP) and financial development across countries. Financial frictions distort the allocation of capital and entrepreneurial talent across production units, adversely affecting measured productivity. In our model, sectors with larger scales of operation (e.g., manufacturing) have more financing needs, and are hence disproportionately vulnerable to financial frictions. Our quantitative analysis shows that financial frictions account for a substantial part of the observed cross-country differences in output per worker, aggregate TFP, sector-level relative productivity, and capital-to-output ratios.

This article describes the contents and the construction of the EU KLEMS Growth and Productivity Accounts. This database contains industry-level measures of output, inputs and productivity for 25 European countries, Japan and the US for the period from 1970 onwards. The article considers the methodology employed in constructing the database and shows how it can be useful in comparing productivity trends. Although growth accounts are the organising principle, it is argued that the database is useful for a wider range of applications. We give some guidance to prudent use and indicate possible extensions.

This paper proposes that idiosyncratic firm-level shocks can explain an important part of aggregate movements and provide a microfoundation for aggregate shocks. Existing research has focused on using aggregate shocks to explain business cycles, arguing that individual firm shocks average out in the aggregate. I show that this argument breaks down if the distribution of firm sizes is fat-tailed, as documented empirically. The idiosyncratic movements of the largest 100 firms in the United States appear to explain about one-third of variations in output growth. This \"granular\" hypothesis suggests new directions for macroeconomic research, in particular that macroeconomic questions can be clarified by looking at the behavior of large firms. This paper's ideas and analytical results may also be useful for thinking about the fluctuations of other economic aggregates, such as exports or the trade balance.

We construct a growth model consistent with China's economic transition: high output growth, sustained returns on capital, reallocation within the manufacturing sector, and a large trade surplus. Entrepreneurial firms use more productive technologies, but due to financial imperfections they must finance investments through internal savings. State-owned firms have low productivity but survive because of better access to credit markets. High-productivity firms outgrow low-productivity firms if entrepreneurs have sufficiently high savings. The downsizing of financially integrated firms forces domestic savings to be invested abroad, generating a foreign surplus. A calibrated version of the theory accounts quantitatively for China's economic transition.

Much of the analysis of economic growth has focused on the study of aggregate output. Here, we deviate from this tradition and look instead at the structure of output embodied in the network connecting countries to the products that they export. We characterize this network using four structural features: the negative relationship between the diversification of a country and the average ubiquity of its exports, and the non-normal distributions for product ubiquity, country diversification and product co-export. We model the structure of the network by assuming that products require a large number of non-tradable inputs, or capabilities, and that countries differ in the completeness of the set of capabilities they have. We solve the model assuming that the probability that a country has a capability and that a product requires a capability are constant and calibrate it to the data to find that it accounts well for all of the network features except for the heterogeneity in the distribution of country diversification. In the light of the model, this is evidence of a large heterogeneity in the distribution of capabilities across countries. Finally, we show that the model implies that the increase in diversification that is expected from the accumulation of a small number of capabilities is small for countries that have a few of them and large for those with many. This implies that the forces that help drive divergence in product diversity increase with the complexity of the global economy when capabilities travel poorly.

We lay out a small open economy version of the Calvo sticky price model, and show how the equilibrium dynamics can be reduced to a simple representation in domestic inflation and the output gap. We use the resulting framework to analyse the macroeconomic implications of three alternative rule-based policy regimes for the small open economy: domestic inflation and CPI-based Taylor rules, and an exchange rate peg. We show that a key difference among these regimes lies in the relative amount of exchange rate volatility that they entail. We also discuss a special case for which domestic inflation targeting constitutes the optimal policy, and where a simple second order approximation to the utility of the representative consumer can be derived and used to evaluate the welfare losses associated with the suboptimal rules.

Using a Bayesian likelihood approach, we estimate a dynamic stochastic general equilibrium model for the US economy using seven macroeconomic time series. The model incorporates many types of real and nominal frictions and seven types of structural shocks. We show that this model is able to compete with Bayesian Vector Autoregression models in out-of-sample prediction. We investigate the relative empirical importance of the various frictions. Finally, using the estimated model, we address a number of key issues in business cycle analysis: What are the sources of business cycle fluctuations? Can the model explain the cross correlation between output and inflation? What are the effects of productivity on hours worked? What are the sources of the \"Great Moderation\"?

Empirical evidence suggests that as much as one-third of the U.S. business cycle is due to nominal shocks. We calibrate a multisector menu cost model using new evidence on the cross-sectional distribution of the frequency and size of price changes in the U.S. economy. We augment the model to incorporate intermediate inputs. We show that the introduction of heterogeneity in the frequency of price change triples the degree of monetary non-neutrality generated by the model. We furthermore show that the introduction of intermediate inputs raises the degree of monetary non-neutrality by another factor of three, without adversely affecting the model's ability to match the large average size of price changes. A single-sector model with a frequency of price change equal to the median, rather than the mean, generates monetary non-neutrality similar to that in our multisector model. Our multisector model with intermediate inputs generates variation in real output in response to calibrated aggregate nominal shocks that can account for roughly 23% of the U.S. business cycle.

The macroeconomic implications of downward nominal wage rigidities are analyzed via a dynamic stochastic general equilibrium model featuring aggregate and idiosyncratic shocks. A closed-form solution for a long-run Phillips curve relates average output gap to average wage inflation: it is virtually vertical at high inflation and flattens at low inflation. Macroeconomic volatility shifts the curve outwards and reduces output. The results imply that stabilization policies play an important role, and that optimal inflation may be positive and differ across countries with different macroeconomic volatility. Results are robust to relaxing the wage constraint, for example, when large idiosyncratic shocks arise.