Journal articles on the topic 'Labor supply Indonesia Econometric models'

This paper demonstrates the difficulty of forecasting labor force participation (LFP) rates by showing that a random walk does just as well as select sophisticated econometric models in predicting short-term aggregate LFP. Most efforts to improve forecasts of LFP focus on fine-tuning predictions of determinants (i.e., demographics and labor market conditions). However, we show that even perfect knowledge of future demographic trends and labor market conditions is not enough to overcome the additional difficulty posed by changes in behavior over time. Behavior in this paper refers to the way in which demographics and labor market conditions impact labor supply decisions (i.e., parameter coefficients).

Long-term unemployment that is lasting more than twelve months,a phenomenon described by the theory of economics as a manifestation of a permanentimbalance between labor supply and demand for labor. In fact, it bringsthe same negative effects both in terms of economic, social and individual sphere.As a result, it leads to the formation of pejorative phenomena and behavior. Tocounter these negative phenomena, public employment services in its terms ofreference have the early detection of people at risk of long-term unemployment andto take preventive measures.The purpose of this article is to present logit econometric models defining thefactors which have a significant impact on long-term unemployment. These modelscan be used to predict the probability of long-term unemployment at the microlevel, ie for a single person. Due to the fact that the survey methodology are two definitions of unemployment – the first by the methodology of the Labour ForceSurvey, the second according to the law on employment promotion and labor marketinstitutions, one presented two models describing the probability of long-termunemployment and a comparative analysis.

James Heckman is one of the most important and influential scholars to have graced the economics profession. His work is deeply rooted at the intersection of economic theory and empirical microeconomics, and he has made significant contributions to the study of labor economics, microeconometrics, and the use of micro data in macroeconomic analysis. Heckman's work is motivated by the scientific method, in which theory is held up to the scrutiny of the data and empirical analysis is informed by economic theory. During the course of his work, he has made lasting contributions to the study of sample selection bias, duration analysis, heterogeneity, and treatment effects in microeconometrics. In labor economics, he has applied these econometric methods to the study of labor supply and life-cycle dynamic models of unemployment, wage growth, and skill formation. In addition, he is the leading scholar on the evaluation of active labor market programs. As an applied microeconomist, one cannot do research on labor supply, sample selection, duration models, or life-cycle dynamics without encountering Jim Heckman's work.

Ukraine is a predominantly agricultural country, and this branch has been recently demonstrating relatively high efficiency. Vegetable growing is a specific branch of crop production, which includes a large set of vegetables grown according to different technologies, with different shelf life of vegetable products, their different cost and production efficiency. The analysis of the situation on the vegetable market of Ukraine showed that there is a certain correlation between production volumes, sales and products sales prices. The price market environment on the vegetable market in recent years is largely determined by the ratio of supply and demand on the market. Thus, sales volumes increase when the supply on the market is the highest and the price level on the market is the lowest. The absence of permanent wholesale distribution channels also leads to an increase in the hidden market for vegetable products. According to experts of the Ukrainian Agrarian Confederation, the hidden market for fruit and vegetables is about $ 14 billion, or about 60% of the total turnover of vegetable products in Ukraine. Due to the moratorium on the sale of agricultural land, businesses are not able to buy land on their own and develop their business in the long-term prospects. Today, government support in the vegetable sector is limited to preferential lending and to individual funding programs, most often in collaboration with international donors. Much of the support for agro-industrial farms goes to grain and pulse plant producers, which significantly limits the opportunity for developing crop producers with higher marginality. The conditions in which the agrarian sector operates have a high degree of changeable uncertainty, and this circumstance requires agricultural producers to find ways to obtain reliable information about the state of the agricultural market, organizational and functional links between the subjects of the agricultural market, prices for agricultural products. etc. The purpose of this study is to: analyze the price of vegetable sales in Ukraine; substantiation of the use of the AGMEMOD partial equilibrium model for forecasting vegetable production in Ukraine; establish dependence of demand and supply of vegetable production on their sales price; determine the point of equilibrium of supply and demand and calculate of the optimal selling price of vegetables in Ukraine; justify the optimal costs for vegetable production; analyze of the price of selling vegetables in Ukraine and determine the optimal price according to supply and demand, as well as the optimal cost of vegetable production. Now, there are 12 key vegetable crops in Ukraine. These are potatoes, cucumbers, tomatoes, cabbage, beets, carrots, onions, garlic, peppers, zucchini, eggplants and pumpkin. Of these 12 cultures, 9 showed an increase in the period 2010-2016, even without taking into account the uncontrolled Crimea and Donbass. This increase has been driven by two crucial factors: - yield increase. This was made possible due to improving the quality of the seed and natural technological progress in the processing and the use of crop protecting agents. - increase in export demand for products. The demand, for example, for Ukrainian carrots and onions has increased, and therefore the opportunities for their cultivation have become greater. Price is a complex economic category, practically the only element of marketing that enables an enterprise to earn real income. Without proper economic justification of the price level, the normal functioning of economic entities and entire sectors of the economy is impossible, which in turn has a significant impact on the material well-being of the population. The level of market price depends on the value of other marketing elements, as well as on the level of competition on the market and the general state of the economy. As a rule, other marketing elements also change (for example, with increasing product differentiation in order to maximize price or at least the difference between price and cost). The price formation strategy allows determining the price level and marginal prices for individual product groups. The price formation should always be carried out taking into account the nomenclature and quality of products, their usefulness, importance and purchasing power of consumers and prices of the competitors. The strategy of price formation management is a set of measures to maintain conditional prices while actually regulating them in accordance with the variety and characteristics of demand, competition in the market. The AGMEMOD model is an example of the partial equilibrium (PE) models used in agriculture. The main advantages of partial equilibrium models are: the simplicity of the implemented algorithms, the operation of which is quite easily traced; relative availability of necessary data; the calculations are amenable to adequate economic interpretation, making it possible to quickly analyze the consequences of making a decision in the agricultural sector. However, partial equilibrium models are not without their disadvantages. In particular, they do not permit to assess macroeconomic effects such as changes in national income or employment levels, the effects that may be obtained from the redistribution of resources (labor, capital, etc.) into more efficient sectors. For national researchers, it is advisable to use these models, because they have a module of Ukraine, but it is necessary to supplement the program with statistics on vegetables. The demand is a function of price changes in the current period, and the supply is a function of price changes in previous periods. Econometric models of supply and demand dependence of vegetable production on the price of their sale are constructed. The equilibrium of the system is observed at the price of 6558 UAH. for 1 ton of vegetables under the given conditions of consumption, the demand is equal to supply and is 9321 thousand tons. Econometric models of price dependence on material costs, labor costs and depreciation have been constructed. By the first model, it can be determined that the content of unaccounted factors is estimated at 99.82 UAH. per hectare; with an increase in material costs by 1 hectare by 1 UAH, selling price increases by 0.9 UAH. per ton. Based on the Fisher's ratio test, the model is adequate, the relationship between the indicators is tight. The relationship between the indicators of the second model is weak, the calculated correlation coefficient can be trusted, but in general, the adequacy of the model conclusion cannot be made. The model shows that with an increase in labor costs by 1 UAH per hectare, the price increases by 10.03 UAH per ton. The third model based on the Fisher's ratio test is adequate, the relationship between the indicators is average. With the increase in depreciation costs per hectare by 1 UAH, the selling price will increase by 12.42 UAH per ton. The value of the linear correlation coefficient other than zero is statistically significant. Based on the calculated models, we will determine the optimal cost per hectare: material – 7144.2 UAH, labor costs – 689.4 UAH, depreciation costs – 543.4 UAH.

<p>By conducting descriptive statistical analysis and the establishment of two econometric models, this study proves that the marginalization of women in the Indonesian labor market still occurs even though the quality of Indonesian women from the level of education and work participation is increasing. The phenomenon of marginalization of women is characterized by 1) the wage gap due to gender differences, namely the wages received by female workers are lower than male workers for all types of work; 2) the chances of men to find work are far higher than women in the Indonesian labor market. The study concludes that the wage gap due to gender differences is not due to competition in the labor market but rather due to the assumption that working women are secondary and supplementary breadwinners in their households, and the role that they can be play is only an extension of their domestic role. Thus, the main cause of the marginalization of women in the labor market is the low awareness of gender equality, something which has already taken root in Indonesia.</p><p> </p>

In this article, we consider inference in the linear instrumental-variables models with one or more endogenous variables and potentially weak instruments. I developed a command, twostepweakiv, to implement the two-step identification-robust confidence sets proposed by Andrews (2018, Review of Economics and Statistics 100: 337–348) based on Wald tests and linear combination tests (Andrews, 2016, Econometrica 84: 2155–2182). Unlike popular procedures based on first-stage F statistics (Stock and Yogo, 2005, Testing for weak instruments in linear IV regression, in Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg), the two-step identification-robust confidence sets control coverage distortion without assuming the data are homoskedastic. I demonstrate the use of twostepweakiv with an example of analyzing the effect of wages on married female labor supply. For inference on subsets of parameters, twostepweakiv also implements the refined projection method (Chaudhuri and Zivot, 2011, Journal of Econometrics 164: 239–251). I illustrate that this method is more powerful than the conventional projection method using Monte Carlo simulations.

Purpose The purpose of this paper is to investigate the behavior peculiarities of the labor force participation in Eastern European countries. Design/methodology/approach The authors provide the analysis of nonlinearity in dynamics of economic active population and perform the econometric analysis using logistic smooth transition autoregressive models that are flexible and capture various kinds of behavior for different modes. The paper investigates labor markets of six Eastern European countries, Hungary, Bulgaria, Poland, Slovakia, Romania and Croatia that are characterized by lower level of labor force participation rate (LFPR) than average level in EU. Findings The results of modeling quantitatively characterize smooth changes in the behavior modes of labor force activity for each country and indicate how population economic activity depends on previous labor market states. The estimated slope parameters that determine the smoothness of transition between regimes show that, in all countries, the labor force participation quite quickly reacts to changes that occurred on the labor market in the past. During recession periods, households of European countries that joint EU last decade in order to prevent the depletion of their total income increased labor supply and showed increased activity in job search. Originality/value This paper indicates the nonlinearity and asymmetry in LFPR in transition economies, discovers variety of its dynamics in the different regimes and determines the indicators that cause the change of the population economic activity behavior in each country.

We develop a framework to estimate the aggregate capital‐labor elasticity of substitution by aggregating the actions of individual plants. The aggregate elasticity reflects substitution within plants and reallocation across plants; the extent of heterogeneity in capital intensities determines their relative importance. We use micro data on the cross‐section of plants to build up to the aggregate elasticity at a point in time. Interpreting our econometric estimates through the lens of several different models, we find that the aggregate elasticity for the U.S. manufacturing sector is in the range of 0.5–0.7, and has declined slightly since 1970. We use our estimates to measure the bias of technical change and assess the decline in labor's share of income in the U.S. manufacturing sector. Mechanisms that rely on changes in the relative supply of factors, such as an acceleration of capital accumulation, cannot account for the decline.

Oil prices and economic growth are important indicators to see the success of Indonesia’s development performance. The use of oil as the world’s main energy source in general and Indonesia in particular is driven by industrialization. The more industries, the greater the energy resources needed. In the same context, economic growth will also increase oil demand. The purpose of this study is to examine and create empirical evidence of the relationship between world oil prices and economic growth towards domestic oil prices. Furthermore, to test and create empirical evidence on the relationship of domestic oil prices, agriculture, trade, investment, inflation, interest rates, industry, labor, exchange rates and balance of payments to economic growth. The expected output of this research will be to provide information on the policy of the transmission mechanism of oil prices and economic growth in Indonesia. The method used is descriptive and econometric approach to the analysis of simultaneous equation models with two stages of the least squares method. The results of the study indicate that there is a simultaneous relationship between oil prices and economic growth. Economic growth, world oil prices and domestic oil prices a year ago had a positive effect on domestic oil prices. The second result shows that domestic oil, agriculture, investment, interest rates, industry, exchange rates, balance of payments and economic growth in the previous year have a positive effect on economic growth, while trade, inflation and labor have a negative influence on economic growth.

Background: The maldistribution of licensed doctors is one of the major challenges faced by the Chinese health sector. However, this subject remains underexplored, as the underlying causes of licensed doctor distribution have not been fully mapped out. To fill the research void, this study theoretically modeled and empirically measured various determinants of licensed doctor distribution from both the supply and demand sides while taking the spillover effect between the adjacent geographical units into consideration. Methods: The theory of demand and supply is adopted to construct a research framework so as to explain the imbalance in the licensed doctor distribution. Both direct effects and spillover effects of the supply-side factors and demand-side factors are empirically measured with the spatial panel econometric models. Results: The health service demand was found, as expected, to be the major driving force of the licensed doctor distribution across the nation. That is, the increase in health services demands in a province could significantly help one unit attract licensed doctors from adjacent units. Unexpectedly but intriguingly, the medical education capacity showed a relatively limited effect on increasing the licensed doctor density in local units compared with its spillover effect on neighboring units. In addition, government and social health expenditures played different roles in the health labor market, the former being more effective in increasing the stock of clinicians and public health doctors, the latter doing better in attracting dentists and general practitioners. Conclusions: The results provide directions for Chinese policy makers to formulate more effective policies, including a series of measures to boost the licensed doctor stock in disadvantaged areas, such as the increase of government or social health expenditures, more quotas for medical universities, and the prevention of a brain drain of licensed doctors.

The objective of study is to check the vigorous impact of energy consumption on industrial and agricultural output with disaggregated analysis by having openness in both sectors and tube wells lone in agriculture sector as controlled variables. It is essential to analyze a connection between energy consumption and bi-sectoral output in Pakistan. Industrial and agricultural outputs have been taken as dependent variable, as they are mainly dependent on energy consumption. The data from 1999-2019 is employed for the analysis. The econometric technique autoregressive distributed lag (ARDL) results are showing a strong bond between energy consumption and industrial output in disaggregated relationship. Electricity shows a negative relationship with industrial output because of developing countries power supply failure dilemma. Similarly, agriculture sector shows significance with energy consumption in disaggregated analysis. Openness of agriculture and gas consumption in agriculture shows a negative but statistically significant relationship. Capital and labor in both sectors are highly influencing regressors as par neo classical output theory, in our disaggregated energy consumption analysis. Error correction regression shows a strong short run and long run relationship of energy consumption with industrial and agricultural output. The stability diagnostic recursive estimates show the perfectly interlinked variables in both models. The present research is equally important for the academic and policy makers as it reveals a strong bond between energy consumption and bi-sector output in Pakistan. Potential measures on energy supply can increase industrial and agricultural output.

ABSTRACTObjectives of this research is to analyze: Does monetary stability affect Indonesia's GDP?; Does the difference ingovernance regimes affect the governance of monetary stability in supporting the achievement of Indonesia's GDP?; Doesmonetary stability affect Indonesia's per capita income (PCI)?; Does the difference in government regimes affect themanagement of monetary stability in supporting the achievement of Indonesia's per capita income (PCI)?.The research method uses descriptive-quantitative analysis with saturated sampling techniques and secondary datafrom Bank Indonesia, the National Development Planning Agency (Bappenas), the Central Statistics Agency (BPS), the WorldBank, and other reference sources. The data is in the form of time series data from the period 1990-2019. The dependentvariable is the value of GDP and GDP per capita (ICP). While the independent variable: the exchange rate, the money supply,the inflation rate, direct investment, financing, the state budget, the amount of debt (US $), the number of exports, the numberof imports, and the dummy variable period of the reform era government with the era of the New Order Government(Soeharto) as comparison or reference. The processed data were analyzed in quantitative descriptive with multipleregression models with dummy variables.The result is that some indicators of monetary stability (money supply, exchange rate, BI rate, investment, imports, andthe state budget) have a significant effect on the economy (GDP). While inflation, financing and foreign debt did notsignificantly affect GDP achievement. The Reformation government regimes (BJ Habibie, Abdurrahman Wahid, MegawatiSukarnoputeri, Soesilo Bambang Yudhoyono, and Joko Widodo) are different and better than the New Order (Soeharto)government in managing stability towards achieving GDP. The econometrics model is GDP$ = 178,542 + 0.0999 * M1M2 -0.0186 * EXCHANGE $ + 9.5872 * BI_RATE + 1.1935 * INVEST $ - 0.000225 * IMPORT + 0.181 * APBN + 182.488 * REZIM1 +171.038 * REZIM2 + 199.86 * REZIM3 + REVIMIM3 + 214.599 * REZIM5. Some indicators of monetary stability (money supply,exchange rate, BI rate, investment, import and APBN) also have a significant effect on GDP per capita. While inflation,financing and foreign debt did not significantly affect the achievement of GDP per capita. The Reform era government regime(BJ Habibie, Abdurrahman Wahid, Megawati Sukarnoputeri, Soesilo Bambang Yudhoyono, and Joko Widodo) differed andmore better than the New Order era administration (Soeharto) in governance stability. to the achievement of GDP per capita.The econometric model: PCIUS$ = 5.7594 + 0.0032 * M1M2 - 0.0006 * EXCHANGE$ + 0.3092 * BI_RATE + 0.0385 * INVEST$ -0.0000072 * IMPORT + 0.0058 * APBN + 5.8867 * REZIM1 + 5.5173 * REZIM2 + 6.4471 * REZIM3 + 6.ZZ * REZIM5.JEL CLASSIFICATION: E52, E58, E63Keywords: economy, financial, GDP, monetary, PCI, stability

<p><em>Micro, Small and Medium Enterprises (MSMEs) have a very significant impact on the Indonesian economy. Therefore, it is important to do research in order to determine the condition of current performance and analyze the factors that influence the development of MSMEs and to provide strategic advice on the development of MSMEs in Surakarta. Long-term goal is the development of MSMEs in Surakarta in the future as measured from the increase in sales, so the SMEs entrepreneurs increase revenue, reduce unemployment and ultimately can reduce the level of poverty in Surakarta by particular and Indonesia by general.</em></p><p><em>The study took a sample of 91 MSMEs entrepreneurs spread across five districts in the city of Surakarta. Each district taken by SMEs entrepreneurs with purposive sampling method. Mapping MSMEs performance conditions were analyzed descriptively to describe various aspects such as firm age, labor, raw materials, capital and problems faced. While the factors that influence the development of MSMEs were statistically analyzed with multiple regression models.</em></p><em>The results showed that the performance of the mapping conditions of SMEs in Surakarta average face problems in raw material costs, labor costs and promotion costs, as well as in the capital. Capital cost and total variable evidenced by the positive and significant impact on the development of the business. While the age factor and the company's workforce does not have a significant influence on the development of SME. It can be understood that the main problem in SMEs are raw materials and capital. There is a type of business that is not easy to obtain raw materials in the market. Therefore SME development strategy with more emphasis on the supply of raw material, marketing, production, and capital.</em>

The purchasing power parity doctrine in determining exchange rate changes focuses on price factor changes (Jiang, Li, Chang, & Su, 2013)This study examines how currency and interest rates interact with each other to achieve a balance position in the foreign exchange market.Through this approach the exchange rate is determined by the balance of demand and supply between two currencies. This approach also explains how the influence of economic variables such as money supply, national income, price level, and interest rate on the formation of currency rates. Data using the first quarter of 2000 through the fourth quarter of 2013, With econometric analysis through cointegration approach and Error Correction Model will be tested the validity of interest rate parity condition in Indonesi.Estimation of the error correction model variable (V), indicating that the variable passed the t test at 5% confidence level. It indicates that the models specification is acceptable and there is cointegration between the observed variables.

As per capita incomes in developed countries have grown over the past three decades, over-nutrition leading to obesity and elevated health risks for cardiovascular disease, diabetes and some forms of cancer has occurred. We use economic and econometric models to identify the impact of food prices on the aggregate demand for calories and the supply of health, as reflected in mortality rates. Our models are fitted to unique panel data for 18 developed countries over 1971-2001, a period when the relative price of food first rose and then declined steadily. Some findings, using de-trended data, are that a lower real price of food, of other purchased consumer goods and of time increase the demand for calories, one cause of energy imbalance, and the supply of mortality associated with obesity. These prices do not affect the rate of non-obesity-related mortality. Caloric intake is a normal good, contributing to energy imbalance as income increases, but higher incomes do reduce mortality risk. However, higher labor force participation rates, largely associated with rising numbers of working women, and a higher child dependency ratio lead to a higher rate of obesity-related mortality. An implication of our results is that further reductions in the price of food in developed countries can be expected to have a net negative impact on health as reflected in a higher mortality rate due to diseases that are linked to obesity—diabetes, cardiovascular diseases and most forms of cancer.

AbstractRealizing the export-led economic growth potential, the study aims to check the dynamic influence of manufacturing output premised on learning effects model on the export behavior of emerging market economies. Among the mean group and pooled mean group models in the umbrella method of autoregressive-distributed lag econometric technique, the latter one was chosen as it has added advantages. Also, it is supported by the Hausman test. The findings articulate that manufacturing value-added is an important ingredient, which influences the export testifying the existence of dynamic learning effects in export growth. A dynamic model of acquiring sophistication among exporters pinpoints the learning effects technique of exports. The export competitiveness is actualized through a dynamic learning process. The policy suggestion in this regard is to pace up mechanization of the economies, foster measures to reduce supply rigidities and labor market inflexibilities, and assist small and medium-scale enterprises and other types of firms in finding fresh avenues of long-term investment from foreign and advocating domestic supplies.

The aims of this research are: (a) analyze factors influenceing supllay, import and demand of soybean in east java region; (b) analyze factors influencing price of soybean; (c) analyze linkage among suplay, import, demand and domistic price of soyben simultaneously. This research conducted in east java as main producer of soyben in Indonesia. We use secondary data for 1980-2004 periods wits simutaneus models, especially two stage least square method. The result of research shows that the model of demand and supply used had fulfilling economic, statistic and econometric criteria so can be used to explain economic behavior of soyben in east java correctly. Suplay of soybean influenced positively by corn price, productivity and harvesting are of soybean commodity, while domistic price of soybean, price of rice, price of fertilizer, world price and so lags of supplay does not significant. Import positively influenced by income and current demand, and negatively import does not significant. Domistic demand of soybean positively influenced by population size and negatively influenced influenced by per capita income, while other variables such as domistic price, corn price and previous demand does not significant. Domistic price positively influenced by suplay and exchange rate, and so previosly domistic price, while demand and world price does not signficant.